Implement ASSEMBLY-WP-0004: GADM-0.2 model, simulation, scenarios, sensitivity

- models/GADM-CLD.md: causal-loop diagram, loops, 49 signed links
- models/GADM-0.2.md: organism extensions (K split, attention headroom,
  selection channel O, membrane/lineage levers, participation claims),
  equations, findings
- simulations/gadm02: stdlib simulation, scenario runner, OAT sensitivity,
  unit tests; results committed
- scenarios/: six GADM-0.1 regimes + baseline + two organism-axis variants
- metrics/MetricsCatalog.md, models/GADM-0.3-Candidates.md,
  references/LiteratureComparison.md
- ASSEMBLY-WP-0005 (proposed, residual): GADM-0.3

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

Assistant: claude-code
Assistant-Model: opus
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tegwick 2026-10-12 00:43:53 +02:00
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# Custodian Brief — assembly-economics
**Domain:** communication
**Last synced:** 2026-10-11 22:34 UTC
**Last synced:** 2026-10-11 22:36 UTC
**State Hub:** http://127.0.0.1:8000 *(adjust if running on a remote machine)*
## Active Workstreams
### Promote exploration concepts into concepts/
Progress: 2/9 done | workplan_id: `2af40c6f-7b17-5f78-be0c-e0d151bd8f38`
**Open tasks:**
- · Promote Membrane Model `17d0fcac`
- · Promote Seed Kernel `d76809b7`
- · Promote Evolution Model `2ffe2f19`
- · Promote Metabolism Model `8b2a4b48`
- · Promote Resource Ontology `e6fbeef5`
- · Draft Network Object Model `ec8b650f`
- · Apply glossary recommendations `a2a2e121`
*(none — repo may need first-session setup)*
## Inbox Hygiene

4
.gitignore vendored
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.claude/*
!.claude/rules/
!.claude/rules/*.md
# Python
__pycache__/
*.pyc

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---
## Verification
Research repository: Markdown documents plus a standard-library Python
simulation. No install step.
```bash
python3 -m unittest discover -s simulations/gadm02 # must pass before committing model changes
cd simulations/gadm02 && python3 run_scenarios.py && python3 sensitivity.py
```
After changing `simulations/` or `scenarios/`, regenerate the results and
update the affected readings in `models/GADM-0.2.md`.
## State Hub Integration
The Custodian State Hub tracks work across all domains. Codex uses HTTP REST and

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| Kind | ID | Status | Lane | Source |
| --- | --- | --- | --- | --- |
| workplan | ASSEMBLY-WP-0001 | finished | — | workplans/ASSEMBLY-WP-0001-statehub-bootstrap.md |
| workplan | ASSEMBLY-WP-0002 | active | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| workplan | ASSEMBLY-WP-0002 | finished | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| workplan | ASSEMBLY-WP-0003 | finished | — | workplans/ASSEMBLY-WP-0003-seed-integration.md |
| workplan | ASSEMBLY-WP-0004 | proposed | — | workplans/ASSEMBLY-WP-0004-gadm-0.2-modeling.md |
| task | ASSEMBLY-WP-0001-T01 | done | — | workplans/ASSEMBLY-WP-0001-statehub-bootstrap.md |
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| task | ASSEMBLY-WP-0001-T03 | done | — | workplans/ASSEMBLY-WP-0001-statehub-bootstrap.md |
| task | ASSEMBLY-WP-0002-T01 | done | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T02 | done | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T03 | todo | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T04 | todo | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T05 | todo | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T06 | todo | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T07 | todo | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T08 | todo | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T09 | todo | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T03 | done | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T04 | done | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T05 | done | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T06 | done | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T07 | done | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T08 | done | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0002-T09 | done | — | workplans/ASSEMBLY-WP-0002-concept-promotion.md |
| task | ASSEMBLY-WP-0003-T01 | done | — | workplans/ASSEMBLY-WP-0003-seed-integration.md |
| task | ASSEMBLY-WP-0003-T02 | done | — | workplans/ASSEMBLY-WP-0003-seed-integration.md |
| task | ASSEMBLY-WP-0003-T03 | done | — | workplans/ASSEMBLY-WP-0003-seed-integration.md |

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<!--
Created 2026-10-12 under ASSEMBLY-WP-0004-T07 (INTENT.md next step 7).
Follows INTENT.md "Metrics Philosophy" and GADM-0.1 § 22: every construct is
measured by a sensor bundle, and metric disagreement is information.
-->
# Metrics Catalog v0.1
**Status:** exploratory. Indicators are *candidates*: their availability,
validity and data sources still have to be checked before use.
Each GADM-0.2 stock gets a **sensor bundle** of four kinds of measure:
- **O** objective outcome
- **St** structural
- **B** behavioral
- **Su** subjective
Each stock also gets its main **Goodhart risk**: how optimizing the measure
could hollow out the construct.
Rules for using the catalog:
1. No stock is reported through a single indicator.
2. When indicators in a bundle disagree, record the disagreement as a
finding. Do not average it away.
3. A stock's normalization to [0, 1] in GADM is a modeling convenience. The
catalog keeps the raw indicators.
4. Changes to indicators are governed like model changes: versioned, with a
rationale (WS-11, governance of metrics).
---
## H — Human capability
| Kind | Candidate indicators |
|---|---|
| O | healthy life expectancy; adult skills proficiency (literacy, numeracy, problem solving) |
| St | coverage of education, care and lifelong-learning provision; mentoring and apprenticeship capacity |
| B | participation in learning after formal education; skill use at work and outside it |
| Su | self-assessed capability to learn and to act on one's goals |
**Goodhart risk:** credential inflation. Counting certificates instead of
usable capability. Organism-assisted performance can mask deskilling (link
#40), so measure unassisted capability as well.
## X — Assembly commons
| Kind | Candidate indicators |
|---|---|
| O | reuse rate of open components (dependents per open package, citations of open datasets) |
| St | share of critical infrastructure under open standards; share of openly licensed publicly funded research and software |
| B | contribution and maintenance activity in commons projects; maintainer continuity |
| Su | practitioners' perceived ease of building on existing components |
**Goodhart risk:** publishing without maintenance. Counting released artifacts
rather than reusable, maintained ones. Enclosure through dependence on a
single steward.
## K_phys / K_Ω — Productive capacity and organism capability
| Kind | Candidate indicators |
|---|---|
| O | sustainable output per unit of physical throughput; task coverage of information organisms |
| St | installed automation and compute capacity; number of independent organism lineages |
| B | utilization rates; rate at which organisms are adopted into workflows |
| Su | users' assessment of organism usefulness and reliability |
**Goodhart risk:** capacity without access. K can rise while effective
agency falls (automated-capitalism scenario). Always report K together with B
(claims breadth) and P.
## F — Risk capacity
| Kind | Candidate indicators |
|---|---|
| O | business formation rate; survival-adjusted re-entry rate after failure |
| St | availability of staged finance, insurance and public risk pools; bankruptcy regime leniency |
| B | share of first-time founders without inherited wealth |
| Su | perceived personal downside of a failed venture |
**Goodhart risk:** subsidized waste. Raising experiment counts while
externalizing harm. Pair with externalized-harm measures (constitutional
floor in GADM-0.1 § 21).
## G — Effective agency
| Kind | Candidate indicators |
|---|---|
| O | restartability (time × cost × re-entry restrictions, GADM-0.1 § 12); economic mobility |
| St | exit options: provider switching costs, data and organism portability, membrane control held by users |
| B | actual switching, relocation and career-change rates |
| Su | perceived agency and perceived range of reachable futures |
**Goodhart risk:** formal options without real reach. Measures of legal
freedom that ignore material reachability. Organism "access" counted without
asking who controls the membrane (link #41).
## N — Diversity & composability
| Kind | Candidate indicators |
|---|---|
| O | diversity of firms, products and lineages (entropy measures); interoperability test pass rates |
| St | standards coverage; market concentration per component class |
| B | cross-vendor recombination: products built from components of several sources |
| Su | developers' and founders' perceived lock-in |
**Goodhart risk:** fragmentation counted as diversity. Variety without
composability. Report both halves; GADM treats them jointly for this reason.
## Q — Epistemic capacity
| Kind | Candidate indicators |
|---|---|
| O | correction latency (time from error to public correction); forecast accuracy; reproducibility rates |
| St | independent audit coverage; public access to evidence; concentration of information channels |
| B | share of AI-mediated decisions with retrievable provenance and explanation |
| Su | trust calibration: does trust track actual reliability? |
**Goodhart risk:** measuring trust instead of trustworthiness. High trust in
unreliable sources scores well on naive measures. Use calibration, not
levels.
## P — Domination concentration
| Kind | Candidate indicators |
|---|---|
| O | ownership and market concentration (e.g. Herfindahl–Hirschman indices); concentration of lineage ownership |
| St | infrastructure, discovery and identity dependency; share of membranes controlled by a few operators |
| B | rate of self-preferencing and exclusion events |
| Su | perceived ability to contest decisions by dominant actors |
**Goodhart risk:** measuring wealth instead of power. GADM models power
separately from wealth: control of discovery, membranes and infrastructure can
be extreme at moderate wealth concentration.
## E — Ecological headroom
| Kind | Candidate indicators |
|---|---|
| O | position relative to planetary boundaries; material and energy throughput |
| St | share of circular material flows; energy mix |
| B | compute energy use per unit of organism output (the metabolic draw of K_Ω) |
| Su | — (deliberately empty: ecological headroom is not a perception) |
**Goodhart risk:** monetary decoupling claimed as physical decoupling.
GADM-0.1 § 14 requires physical throughput, not value, as the basis.
## S — Social cohesion
| Kind | Candidate indicators |
|---|---|
| O | incidence of violent conflict; legitimacy of institutions in contested decisions |
| St | channels for voice and appeal; plurality of recognition systems |
| B | civic participation; peaceful resolution rates |
| Su | generalized trust; expectation of future participation |
**Goodhart risk:** suppressed disagreement read as cohesion. GADM defines
cohesion as continued legitimate participation *under* conflict.
## A — Attention headroom
| Kind | Candidate indicators |
|---|---|
| O | self-directed time from time-use surveys (time not claimed by work, care obligations or engineered engagement) |
| St | share of attention-facing services funded by engagement; default notification and interruption regimes |
| B | interruptions per hour; share of attention spent in self-chosen versus recommended activities |
| Su | perceived control over one's own attention; reported time scarcity |
**Goodhart risk (critical):** counting *captured* attention as a resource.
Engagement metrics measure the opposite of A. Including A in VFAC rewards
extraction unless A measures **unclaimed, self-directed** attention
(`models/InformationOrganismsInGADM.md` § 4.1). In GADM-0.2, omitting A
understates attention harm (`models/GADM-0.2.md`, reading 5).
---
## Derived diagnostics
| Diagnostic | Definition | Caveat |
|---|---|---|
| VFAC | geometric mean of H, X, G, N, Q, S, E, 1 − P, A | Research instrument. Equal exponents damp near-collapse of one stock, so it never replaces floor checks. |
| Claims breadth B | share of output reaching the broad population | Says nothing about agency (dividend-abundance reading). |
| Floor status | share of periods in which a constitutional floor is violated | Floors are non-tradeable; do not aggregate them into VFAC. |

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<!--
Created 2026-10-12 under ASSEMBLY-WP-0004 (T03 decision, T04 specification,
T05/T06 findings). Implemented by simulations/gadm02/gadm02.py; the code is
the reference if the two ever disagree, and any divergence is a bug.
-->
# Generative Assembly Dynamics Model — GADM-0.2
**Status:** exploratory hypothesis generator. Not calibrated to any real
economy. All numbers are in normalized, unitless model space.
GADM-0.2 extends GADM-0.1 (`GenerativeAssemblyDynamicsModel.md`) in three
ways:
1. It specifies every flow with signs (see `GADM-CLD.md`).
2. It adds the information-organism extensions selected below.
3. It is implemented as a runnable toy simulation.
---
## 1. Decision: which organism extensions enter GADM-0.2 (T03)
Candidates from `InformationOrganismsInGADM.md` § 4:
| Candidate | Decision | Rationale |
|---|---|---|
| Split K into K_phys + K_Ω | **in** | Learning with use (R7) and lineage control (R8) are the main new loops. Without the split, they cannot be expressed. |
| Attention headroom A | **in** | Reference scarce resource of the program. Needed to test whether VFAC without A misses attention harm. |
| Organism selection channel O | **in** | Cheap to add. Needed to examine hypothesis M3 (O's quality and its contribution to P share a cause). |
| Membrane control and lineage concentration in Ṗ | **in**, as levers `m` and `L` | Main institutional levers of the organism lens. |
| Participation claims C_p | **in**, as lever `cp` | Lets scenarios test a post-work claim channel. It is treated as a share of capital return, which is a simplification (see § 6). |
| Compute C as its own stock | **deferred to 0.3** | Represented for now as a direct draw of K_Ω on E (`e2`). A separate stock only pays off once energy classes are modeled (GADM-0.4). |
| Age cohorts | **deferred to 0.3** | See `GADM-0.3-Candidates.md`. |
---
## 2. State
Twelve stocks, all in [0, 1]:
| Symbol | Code | Stock | New in 0.2 |
|---|---|---|---|
| H | `H` | Human capability | |
| X | `X` | Assembly commons | |
| K_phys | `Kp` | Physical / conventional productive capacity | split |
| K_Ω | `Ko` | Information-organism capability | ✓ |
| F | `F` | Risk capacity | |
| G | `G` | Effective agency | |
| N | `N` | Diversity & composability | |
| Q | `Q` | Epistemic capacity | |
| P | `P` | Domination concentration | |
| E | `E` | Ecological headroom | |
| S | `S` | Social cohesion | now a stock relaxing to a target |
| A | `A` | Attention headroom: unclaimed, self-directed attention | ✓ |
**Bounding convention.** Every stock follows
\(\dot x = \text{inflow}\cdot(1-x) - \text{outflow}\cdot x\), so stocks stay in
[0, 1] without clipping. Clipping is applied only as a numerical guard.
**Institutional levers** (scenario axes, all in [0, 1]):
| Lever | Meaning |
|---|---|
| `m` | membrane control held by users and communities rather than operators |
| `L` | lineage diffusion: 0 = concentrated, 1 = diffuse ownership of organism lineages |
| `lin_open` | share of lineages that are openly inheritable (commons rather than enclosure) |
| `std` | open standards and interoperability |
| `disc` | discovery concentration |
| `expl` | explainability and provenance enforcement |
| `x_att` | attention regime: 0 = protected, 1 = extraction-funded |
| `auto`, `dshare`, `cp`, `od` | automation intensity, social dividend share, participation claims share, ownership diffusion of private returns |
---
## 3. Equations
### 3.1 Auxiliaries
\[
K = 1-(1-K_{phys})(1-K_\Omega), \qquad Y^* = K\sqrt{E}
\]
Claims (GADM-0.1 § 9, extended with C_p):
\[
w_L = w_{L0}(1-auto\cdot K_\Omega),\quad c = 1-w_L,\quad
\Pi_p = c\,(1-dshare-cp)
\]
\[
B = w_L + c\,(dshare+cp) + \Pi_p\cdot od
\]
\(B\) is the **breadth of claims**: the share of output reaching the broad
population as wages, dividends, participation claims or diffused ownership.
Demand factor: \(dem = (0.4+0.6B)(0.6+0.4S)\).
Experimentation (GADM-0.1 § 5, plus a Q-gated organism term, hypothesis M2):
\[
V = \min\!\left(1,\; v_0 H^{.5}X^{.5}F^{.3}G^{.4}N^{.3}Q^{.3}(1-P)^{.5} + v_o K_\Omega Q\right)
\]
Selection (GADM-0.1 § 6, plus organism channel O weighted by prevalence):
\[
M=\sqrt{A\cdot dem},\quad O = Q(1-disc)
\]
\[
\sigma = \frac{w_m M + w_s Q + w_c N(1-P) + w_p S + w_o K_\Omega O}{w_m+w_s+w_c+w_p+w_o K_\Omega},
\qquad V_{sel} = V\sigma
\]
Reuse: \(\rho = \min(1, \rho_0 + \rho_O K_\Omega\, lin\_open)\).
### 3.2 Stocks
\[
\begin{aligned}
\dot X &= (a_X\rho V_{sel} + I_X)(1-X) - (\delta_X + l_X P + l_{Xo}K_\Omega(1-lin\_open))X\\
\dot K_{phys} &= a_K V_{sel}\,dem\,(1-K_{phys}) - \delta_K K_{phys}\\
\dot K_\Omega &= (a_O V_{sel}\,dem + \ell K_\Omega\,dem\,Q + o_{seed})(1-K_\Omega) - \delta_O K_\Omega\\
\dot H &= (h_0(\tfrac{S+B}{2}) + h_A A + h_T X)(1-H) - (\delta_H + desk\cdot K_\Omega(1-m))H\\
\dot F &= (f_0 + f_Y Y^* B)(1-F) - \delta_F F\\
\dot G &= (g_1B + g_2X(1-P) + g_3F + g_4K_\Omega m)(1-G) - (\delta_G + b_1P + b_2K_\Omega(1-m))G\\
\dot N &= (n_1V(1-P) + n_2X\,std)(1-N) - (\delta_N + n_3P + n_4K_\Omega(1-L))N\\
\dot Q &= (q_0 + q_1X + q_oK_\Omega\,expl)(1-Q) - (\delta_Q + q_2P + q_xK_\Omega(1-expl) + q_3\max(0,V-Q))Q\\
\dot P &= (p_1V_{sel}(1-B) + p_2\,disc + p_3K_\Omega(1-m) + p_4K_\Omega(1-L))(1-P) - (p_5QS + p_6X\,std + p_7B)P\\
\dot E &= e_{reg}(1-E) - (e_1K_{phys}\,dem\,thr + e_2K_\Omega)E\\
\dot S &= s_{rate}\left(G^{.4}(1-P)^{.3}B^{.2}A^{.1} - S\right)\\
\dot A &= a_{rec}(0.4+0.6B)(1-A) - a_{ext}\,x\_att\,(0.2+K_\Omega)A
\end{aligned}
\]
Parameter values are in `simulations/gadm02/gadm02.py` (`PARAMS`, `INIT`).
### 3.3 Diagnostics
\[
VFAC = \left(H\,X\,G\,N\,Q\,S\,E\,(1-P)\,A\right)^{1/9},\qquad
VFAC_{0.1} = \left(H\,X\,G\,N\,Q\,S\,E\,(1-P)\right)^{1/8}
\]
These use equal exponents. VFAC is 0 if any factor is 0. As in GADM-0.1, VFAC
is a research instrument, not a welfare function.
Constitutional floors, checked separately: \(G \ge 0.2,\; E \ge 0.2,\; P \le 0.7,\; A \ge 0.2\).
### 3.4 Calibration
There is no empirical calibration. Three coefficients were adjusted so that
the **baseline** stays near its initial state, instead of trivially collapsing
or saturating:
- `v0` = 2.5: the seven-factor product is about 0.14 at initial values.
- `aK` = 0.35 and `n1` = 0.30: otherwise K_phys and N decay to about 0.12.
Everything else is a first guess, chosen so that rates fall roughly in 0.03–0.3
per period.
---
## 4. Scenario results (T05)
Full table: `simulations/gadm02/results/summary.md`. Scenario definitions:
`scenarios/`. Final values at t = 100:
| Scenario | VFAC | VFAC_0.1 | P | G | A | B | Notes |
|---|---|---|---|---|---|---|---|
| Baseline | 0.46 | 0.44 | 0.52 | 0.44 | 0.65 | 0.59 | slow erosion of X and N, rising P |
| Automated capitalism | 0.32 | 0.29 | **0.73** | 0.28 | 0.58 | 0.33 | P ceiling breached in 69 % of periods; demand and cohesion fall |
| Dividend abundance | 0.45 | 0.43 | 0.54 | 0.45 | 0.62 | 0.69 | demand stabilized, but VFAC ≈ baseline |
| Universal venture access | 0.49 | 0.47 | 0.52 | 0.57 | 0.64 | 0.58 | agency up via restartability |
| Commons-rich | 0.54 | 0.54 | 0.48 | 0.47 | 0.62 | 0.57 | X 0.27 → 0.66; second best overall |
| Attention oligopoly | 0.37 | 0.36 | 0.69 | 0.38 | 0.55 | 0.61 | P approaches the ceiling; N collapses to 0.17 |
| Generative regime | **0.65** | 0.64 | 0.31 | 0.64 | 0.78 | 0.70 | stable; lowest ecological headroom (E 0.48) |
| — with concentrated lineages | 0.53 | 0.50 | 0.50 | 0.46 | 0.79 | 0.71 | loses about two thirds of the gain over baseline |
| — with attention extraction | 0.58 | 0.59 | 0.41 | 0.60 | 0.45 | 0.71 | VFAC_0.1 understates the loss |
### Readings
These describe the model's behavior under its assumed signs. They are
candidate hypotheses, not claims about economies.
1. **Abundance without breadth fails** (automated capitalism). Output Y* is
close to the baseline (0.50 vs. 0.53), but domination crosses its ceiling
and claims breadth B drops from 0.59 to 0.33. This reproduces GADM-0.1's primary question in
model form.
2. **Dividends stabilize demand, not agency.** Dividend abundance raises B
from 0.59 to 0.69, but G, P and VFAC barely move. In this model, claims
alone do not counter domination or commons erosion.
3. **Reuse works as a bundle.** The commons-rich regime is the strongest
single-lever regime. However, `rho0` alone is not a top driver in the
sensitivity analysis (rank 20 of 80 at baseline). The effect comes from
ρ together with investment I_X, open lineages and standards.
4. **Organism governance dominates the generative regime.** Concentrating
lineages (`L`, `lin_open`, `m` low) costs about two thirds of the
generative regime's VFAC gain over baseline (0.65 → 0.53, baseline 0.46).
An extraction-funded attention regime costs about 40 % (0.65 → 0.575).
5. **VFAC without attention understates attention harm.** Moving from the
generative regime to its attention-extraction variant, VFAC falls by 0.075,
but VFAC_0.1 falls by only 0.042 (0.636 → 0.594). In the extraction
variant, VFAC_0.1 even ranks above VFAC, the reverse of every other
scenario. This supports including A, and also the Goodhart warning in
`InformationOrganismsInGADM.md` § 4.1.
6. **The generative regime has an ecological cost.** It has the lowest E of
all regimes. It stays above the floor, but `ereg` ranks third in its
sensitivity. Abundance needs throughput decoupling (GADM-0.1 § 14) to stay
generative.
---
## 5. Sensitivity (T06)
Full tables: `simulations/gadm02/results/sensitivity.md`
(one-at-a-time, ±20 %, effect on final VFAC).
| Rank | Baseline | Generative regime |
|---|---|---|
| 1 | `dO` organism depreciation (+) | `m` membrane control (+) |
| 2 | `ell` organism learning (−) | `L` lineage diffusion (+) |
| 3 | `p7` claims breadth checking P (+) | `ereg` ecological regeneration (+) |
| 4 | `wL0` labor share (+) | `expl` explainability (+) |
| 5 | `IX` commons investment (+) | `v0` experimentation (+20 % → −) |
Readings:
- **Under baseline governance, faster organism learning lowers VFAC.** Higher
`ell` and lower `dO` both reduce VFAC: K_Ω grows under operator-controlled
membranes (`m` = 0.3) and concentrated lineages, and this feeds P, lock-in
and deskilling. In the generative regime, the same organism growth is
beneficial, and the governance levers `m` and `L` become the top drivers.
This is the model form of hypothesis M3. Caveat: it follows directly from
the assumed moderation of links #39–#41 by `m` and `L`. The model shows that
these assumptions matter most, not that they are true.
- **More experimentation can hurt** in the generative regime (+20 % `v0` →
lower VFAC). This happens through the epistemic brake B3 (link #33, a
contested link).
- **One-at-a-time analysis misses interactions.** Finding 3 (reuse as a
bundle) is an interaction effect. A global method (e.g. Sobol, or Morris
screening) is a GADM-0.3 candidate.
---
## 6. Known limitations
- No units, no calibration. Comparisons between scenarios are meaningful;
absolute values are not.
- Every structural sign comes from `GADM-CLD.md`. The contested links (#33,
#40, #41, #46, #49) drive several readings.
- Participation claims `cp` are a fixed share of capital return. A real
mechanism would tie them to contributions (attention, judgment, governance),
which is WS-14 work.
- A single population with no cohorts, sectors or regions.
- Attention dynamics are weak: in the attention oligopoly, A falls only to
0.55. `aext` may be underestimated.
- Euler integration, dt = 0.1. No stiffness issues were observed at these
rates.
## 7. Reproduce
```bash
python3 -m unittest discover -s simulations/gadm02
cd simulations/gadm02 && python3 run_scenarios.py && python3 sensitivity.py
```

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<!--
Created 2026-10-12 under ASSEMBLY-WP-0004-T08 (INTENT.md next steps 8–9).
Outlines the life-cycle and power extensions as GADM-0.3 candidates. Also
collects the items deferred by GADM-0.2.
-->
# GADM-0.3 Candidates — Life-Cycle and Power Extensions
**Status:** outline. Nothing here is implemented.
GADM-0.1 § 26 plans for GADM-0.3: age cohorts, household distribution, wealth
separated from power, common versus private ownership, and adoption modeled
separately from attention. GADM-0.2 already added attention headroom A. This
note outlines the two extensions INTENT.md asks for, plus the items GADM-0.2
deferred.
---
## 1. Life-cycle extension
### 1.1 Cohorts
Replace the single population with four cohorts \(c \in\) {children,
working-age, seniors, very old/dependent}. Each cohort carries its own
\(H_c\), \(G_c\) and \(A_c\). Commons, productive capacity, P and E stay
society-wide.
### 1.2 Flows between cohorts
| Flow | From → to | Mechanism |
|---|---|---|
| Ageing | c → c+1 | demographic transition rates |
| Capability formation | society → children | education and care. Care is generative infrastructure (concept § 9). |
| Intergenerational transfer \(T_g\) | seniors → working-age, children | mentoring, tacit knowledge, archives (GADM-0.1 § 18) |
| Dependency | very old/dependent ← society | care demand draws on working-age attention \(A\) |
| Organism mediation | K_Ω → transfer | organisms can preserve tacit knowledge (inheritance) or displace mentoring (deskilling) |
### 1.3 Hypotheses to test
- **L1.** Strong \(T_g\) lets an ageing society keep H constant (GADM-0.1 § 11
interpretation).
- **L2.** Care demand competes with other uses of attention headroom.
Without recognized care participation (C_p), A falls fastest in the
working-age cohort.
- **L3.** Children's capability formation responds with a lag of 15–20
periods. Effects of policy on H appear only beyond the current 100-period
horizon unless the time scale is fixed.
### 1.4 Prerequisite
Fix the time unit: one period = one year is the natural choice once cohorts
exist.
---
## 2. Power extension
### 2.1 Separate wealth from power
Introduce wealth concentration \(W_c\) as a stock distinct from P:
\[
\dot W_c = \text{private return concentration} - \text{taxation/diffusion}
\]
P then gains a conversion term from wealth into control, with a coefficient
that depends on institutional checks:
\[
\dot P \mathrel{+}= \kappa(Q, S)\,W_c(1-P)
\]
This allows regimes with high wealth inequality but bounded power (strong
checks), and with moderate wealth but extreme power (platform or membrane
control). GADM-0.2's sensitivity results suggest the second kind matters
most for information organisms.
### 2.2 Channels of P as sub-stocks
Split P into channel sub-stocks, each with its own drivers and counters:
| Channel | Drivers | Counters |
|---|---|---|
| Market | network effects, scale | competition, entry |
| Infrastructure | control of essential facilities | interoperability, public provision |
| Discovery / attention | ranking, recommendation | plural discovery, attention protection |
| Membrane | operator control of organism membranes | user/community control (`m`), portability |
| Lineage | ownership of high-use organism lineages | lineage diffusion (`L`), open inheritance |
| Political / institutional | lobbying, capture | transparency, checks, revisability |
Aggregate \(P = 1-\prod_k (1-P_k)\), so any single dominant channel suffices
for high P.
### 2.3 Hypotheses to test
- **P1.** The success → control loop (R3) becomes self-sustaining above a
threshold of channel concentration. Find that threshold per channel.
- **P2.** Membrane and lineage channels interact with R7 (learning with use)
to form a natural-monopoly regime unless `L` exceeds a critical value
(mapping note, open question 1).
- **P3.** Wealth taxation alone does not bound P when the membrane channel
dominates.
---
## 3. Items deferred from GADM-0.2
| Item | Source | Note |
|---|---|---|
| Compute C as a stock | `GADM-0.2.md` § 1 | Needed once energy classes are modeled (GADM-0.4). |
| Participation claims tied to contributions | `GADM-0.2.md` § 6 | Requires the WS-14 participation model; currently a fixed share. |
| Global sensitivity analysis | `GADM-0.2.md` § 5 | Morris screening first, then Sobol indices on the top parameters. |
| Stronger attention dynamics | `GADM-0.2.md` § 6 | `aext` appears underestimated; calibrate against time-use evidence. |
| Organism-aware scenario grid | `InformationOrganismsInGADM.md` § 5 | Full 2 × 2 × 2 grid of lineage, membrane and attention regime. GADM-0.2 runs two corners. |
---
## 4. Suggested order
1. Fix the time unit, and add global sensitivity analysis to the existing
model (cheap, and it improves every later step).
2. Power extension § 2.2 (channel sub-stocks), because GADM-0.2's
sensitivity points there.
3. Wealth separated from power (§ 2.1).
4. Cohorts (§ 1), the largest structural change.

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<!--
Created 2026-10-12 under ASSEMBLY-WP-0004-T01 (causal-loop diagram) and
ASSEMBLY-WP-0004-T02 (link signs and dependencies). Base: GADM-0.1
(GenerativeAssemblyDynamicsModel.md). Links marked "0.2" are the information-
organism additions adopted in GADM-0.2.md.
-->
# GADM Causal Structure — Causal-Loop Diagram and Link Table
**Status:** v0.1 for GADM-0.1 plus the GADM-0.2 additions, exploratory.
## 1. Causal-loop diagram
Solid arrows are GADM-0.1. Dotted arrows are the GADM-0.2 organism
additions. Edge labels give the polarity: `+` means same direction, `−` means
opposite direction.
```mermaid
flowchart LR
H[H Human capability] -->|+| V
X[X Assembly commons] -->|+| V
F[F Risk capacity] -->|+| V
G[G Effective agency] -->|+| V
N[N Diversity & composability] -->|+| V
Q[Q Epistemic capacity] -->|+| V
P[P Domination] -->|−| V
V((V Experimentation)) -->|+| VS((V_sel Selected))
SIG((σ Selection quality)) -->|+| VS
VS -->|+ via ρ| X
VS -->|+| K[K Productive capacity]
K -->|+| Y((Y* Output))
E[E Ecological headroom] -->|+| Y
Y -->|+| I((I Claims))
I -->|+| D((D Demand))
S[S Social cohesion] -->|+| D
D -->|+| SIG
I -->|+ existence security| G
F -->|+ restartability| G
P -->|−| G
VS -->|+ private return| P
P -->|+ network effects| P
Q -->|− checks| P
X -->|− interoperability| P
K -->|− throughput| E
G -->|+| S
P -->|−| S
X -->|+| H
S -->|+| H
X -->|+| Q
P -->|−| Q
V -->|− if V > Q| Q
V -->|+ entry| N
P -->|−| N
X -->|+ standards| N
Ko[K_Ω Organism capability] -.->|+| V
Ko -.->|+ learning with use| Ko
VS -.->|+| Ko
Ko -.->|+ membrane & lineage control| P
Ko -.->|− deskilling| H
Ko -.->|− lock-in| G
Ko -.->|− monoculture| N
Ko -.->|− labor share| I
Ko -.->|− compute draw| E
Ko -.->|− extraction| A[A Attention headroom]
A -.->|+ adoption| SIG
A -.->|+| H
A -.->|+| S
I -.->|+ recovery| A
```
## 2. Loops
| ID | Type | Path | Reading |
|---|---|---|---|
| R1 | reinforcing | X → V → V_sel → X | **Generative reuse.** Commons enable experiments, and selected experiments become commons. Strength depends on ρ. |
| R2 | reinforcing | V_sel → K → Y* → I → D → σ → V_sel | **Demand-backed growth.** Works only while claims stay broad. |
| R3 | reinforcing | V_sel → P (private return) → P (network effects) | **Success becomes control** (GADM-0.1 § 13). Path closure when unchecked. |
| R4 | reinforcing | Y* → I → G → V → V_sel → K → Y* | **Agency-backed growth.** Existence security widens who can attempt. |
| R5 | reinforcing | G → S → D → σ → V_sel → K → Y* → I → G | **Cohesion.** Legitimate participation sustains demand and selection. |
| R6 | reinforcing | X → Q → V → V_sel → X | **Epistemic commons.** Open evidence improves the experiments that feed the commons. |
| R7 (0.2) | reinforcing | K_Ω → K_Ω (learning with use) | **Organism learning.** Organisms improve fastest where they are used most. |
| R8 (0.2) | reinforcing | K_Ω → P → G, S → D → V_sel → K_Ω | **Lineage concentration.** Combined with R7, this is the natural-monopoly loop of the mapping note's open question 1. |
| B1 | balancing | P → V → V_sel → P (private return) | **Domination throttles its own source.** High P shrinks experimentation, which slows the success that feeds P. Weak relative to R3. |
| B2 | balancing | K → E → Y* → I → D → V_sel → K | **Ecological limit.** Throughput erodes headroom and caps output. |
| B3 | balancing | V → Q → V (when V > Q) | **Epistemic brake.** Experimentation that outruns model correction degrades Q, which slows V (GADM-0.1 § 15). |
| B4 | balancing | Q → P → Q (checks) | **Accountability.** Epistemic capacity checks domination, and domination captures information. In the model, a reinforcing pair in disguise: whichever wins compounds. |
| B5 (0.2) | balancing | K_Ω → A → σ → V_sel → K_Ω | **Attention limit.** Extraction depletes the attention that adoption and selection need. |
| B6 (0.2) | balancing | K_Ω → I (labor share) → D → V_sel → K_Ω | **Demand erosion.** Automation without broad claims undermines its own demand. |
## 3. Link table
`Conf.` is confidence in the sign: **H** (stated in GADM-0.1 or definitional),
**M** (plausible, inferred from GADM text), **L** (contested). `Src.` is the
source section in GADM-0.1, or the mapping note (`MN`).
| # | Source | Target | Sign | Mechanism | Conf. | Src. |
|---|---|---|---|---|---|---|
| 1 | H | V | + | capability to attempt | H | § 5 |
| 2 | X | V | + | reusable components | H | § 5 |
| 3 | F | V | + | risk-bearing capacity | H | § 5 |
| 4 | G | V | + | effective freedom to attempt | H | § 5 |
| 5 | N | V | + | recombination potential | H | § 5 |
| 6 | Q | V | + | model quality | H | § 5 |
| 7 | P | V | − | gatekeeping | H | § 5 |
| 8 | V | V_sel | + | definitional | H | § 6 |
| 9 | σ | V_sel | + | definitional | H | § 6 |
| 10 | V_sel | X | + | preservation via ρ | H | § 7 |
| 11 | P | X | − | enclosure L_X | M | § 7 |
| 12 | V_sel | K | + | commercial conversion | H | § 8 |
| 13 | K | Y* | + | definitional | H | § 8 |
| 14 | E | Y* | + | ecological constraint f(E) | H | § 8 |
| 15 | Y* | I | + | claims on output | H | § 9 |
| 16 | I | D | + | purchasing power | H | § 10 |
| 17 | S | D | + | social confidence | H | § 10 |
| 18 | D | σ (market) | + | adoption | M | § 19 |
| 19 | I | G | + | existence security | H | § 12 |
| 20 | F | G | + | restartability | M | § 12 |
| 21 | P | G | − | domination term | H | § 12 |
| 22 | V_sel | P | + | private return → control | H | § 13 |
| 23 | P | P | + | network effects, capture | H | § 13 |
| 24 | Q | P | − | checks (audit, evidence) | M | § 13 |
| 25 | X | P | − | interoperability | M | § 13 |
| 26 | K | E | − | physical throughput | H | § 14 |
| 27 | G | S | + | agency, future opportunity | H | § 17 |
| 28 | P | S | − | domination, lack of voice | H | § 17 |
| 29 | X | H | + | education, transfer T_g | M | §§ 11, 18 |
| 30 | S | H | + | care, participation | M | § 11 |
| 31 | X | Q | + | open evidence, research infrastructure | M | § 15 |
| 32 | P | Q | − | information capture | H | § 15 |
| 33 | V | Q | − (if V > Q) | experimentation outruns correction | L | § 15 |
| 34 | V | N | + | entry | M | § 16 |
| 35 | P | N | − | monoculture, lock-in | H | § 16 |
| 36 | X | N | + | open standards | M | § 16 |
| 37 | K_Ω | V | + | cheap experiments, gated by Q | M | MN § 3.1 |
| 38 | K_Ω | K_Ω | + | learning with use | M | MN § 1 |
| 39 | K_Ω | P | + | membrane control, lineage concentration (moderated by m, L) | M | MN § 3.5 |
| 40 | K_Ω | H | − | deskilling (moderated by m) | L | MN § 2 |
| 41 | K_Ω | G | ± | access (+, with m) vs. lock-in (−, without m) | L | MN § 2 |
| 42 | K_Ω | N | − | monoculture (moderated by L) | M | MN § 2 |
| 43 | K_Ω | I (labor share) | − | automation | H | MN § 3.4 |
| 44 | K_Ω | E | − | compute draw | M | MN § 4 |
| 45 | K_Ω | A | − | extraction (moderated by x_att) | M | MN § 4 |
| 46 | K_Ω | Q | ± | audit/research (+, with expl) vs. opacity (−) | L | MN § 2 |
| 47 | A | σ (market) | + | adoption needs attention | M | MN § 4 |
| 48 | A | H, S | + | self-directed development, participation | M | MN § 4 |
| 49 | I | A | + | economic security frees attention | L | new |
### Contested links (Conf. L)
- **#33.** GADM-0.1 states the damage hypothesis qualitatively. GADM-0.2
implements it as a degradation of Q proportional to `max(0, V − Q)`. The
threshold form is a modeling choice.
- **#40, #41, #46.** The sign depends on institutional levers. GADM-0.2 makes
this explicit: membrane control `m` and explainability `expl` switch the
dominant sign.
- **#49.** Not in either source. Introduced so that precarity reduces
attention headroom. Needs empirical grounding (WS-14).

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@ -9,6 +9,9 @@ exploratory: they generate hypotheses and are not established results.
|----------|--------|--------|
| [GenerativeAssemblyDynamicsModel.md](GenerativeAssemblyDynamicsModel.md) | GADM-0.1 (promoted verbatim) | `seed/GenerativeAssemblyDynamicsModel.md` |
| [InformationOrganismsInGADM.md](InformationOrganismsInGADM.md) | mapping note v0.1 | ASSEMBLY-WP-0003-T03; input for GADM-0.2 (ASSEMBLY-WP-0004) |
| [GADM-CLD.md](GADM-CLD.md) | v0.1 | causal-loop diagram, loops, signed link table (ASSEMBLY-WP-0004-T01/T02) |
| [GADM-0.2.md](GADM-0.2.md) | GADM-0.2 | extensions decision, equations, scenario and sensitivity findings (ASSEMBLY-WP-0004) |
| [GADM-0.3-Candidates.md](GADM-0.3-Candidates.md) | outline | life-cycle and power extensions, deferred items (ASSEMBLY-WP-0004-T08) |
## Conventions

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<!--
Created 2026-10-12 under ASSEMBLY-WP-0004-T09 (INTENT.md next step 10).
Written from general knowledge, without a literature search in this session.
Bibliographic details are given as commonly cited, but must be verified
against the sources before any citation in published work.
-->
# Literature Comparison v0.1
**Status:** first orientation map. **Bibliographic details are unverified.**
Check each entry against the original before citing it.
Purpose: place the Generative Assembly Society framework, GADM and the
information-organism lens relative to existing work, so that the project
(a) does not reinvent existing results, (b) borrows established methods, and
(c) states clearly what is new.
Each entry gives the overlap, the difference from this project, and what to
borrow.
---
## 1. Assembly and complexity
| Work | Overlap | Difference | Borrow |
|---|---|---|---|
| **Assembly Theory** (L. Cronin, S. I. Walker and colleagues; e.g. Sharma et al., *Nature* 2023) | Objects as assemblies built from reusable components; selection as the source of complex objects | A physical and chemical theory with a measurable assembly index. INTENT.md explicitly does not require accepting it. | The idea of quantifying "assembly depth" as a reuse measure for X |
| **The adjacent possible** (S. Kauffman, *Investigations*, 2000) | Future combinations reachable from current components ≈ viable future assembly space | Biological and theoretical, not institutional | Vocabulary for reachable futures; combinatorial growth arguments |
| **Technology as combination** (W. B. Arthur, *The Nature of Technology*, 2009) | Technologies built from existing technologies; recursive composition | Descriptive history of technology, no institutional model | Evidence for R1 (generative reuse) |
| **Economic complexity** (C. Hidalgo & R. Hausmann, e.g. *PNAS* 2009; *The Atlas of Economic Complexity*) | Capabilities as recombinable building blocks; diversity × ubiquity | Measures national capability structures from trade data | Empirical proxies for N and X |
## 2. Agency, capability and freedom
| Work | Overlap | Difference | Borrow |
|---|---|---|---|
| **Capability approach** (A. Sen, *Development as Freedom*, 1999; M. Nussbaum) | Effective agency as reachable functionings, not formal liberty | Normative development framework, no dynamic model | Operationalization of G; lists of central capabilities |
| **Real freedom / basic income** (P. Van Parijs, *Real Freedom for All*, 1995) | Existence principle; participation decoupled from labor | Focused on income; does not model domination or commons | Arguments for D_s and the Existence principle |
| **Republican non-domination** (P. Pettit, *Republicanism*, 1997) | Domination as capacity for arbitrary interference, separate from wealth | Political philosophy | Conceptual grounding for modeling P separately from wealth |
## 3. Commons, institutions and power
| Work | Overlap | Difference | Borrow |
|---|---|---|---|
| **Governing the commons** (E. Ostrom, 1990) | Commons as institutions; polycentric governance | Natural-resource commons. Assembly commons are mostly non-rival. | Design principles for commons governance (WS-06, WS-11) |
| **Commons-based peer production** (Y. Benkler, *The Wealth of Networks*, 2006) | Non-rival knowledge commons; open source | Network economy, pre-AI | Evidence for ρ and I_X mechanisms |
| **Inclusive vs. extractive institutions** (D. Acemoglu & J. Robinson, *Why Nations Fail*, 2012) | Institutional configurations determine whether success broadens or closes access | Historical, macro-institutional | Framing for the R3 / B1 loop (success becomes control) |
| **Capital concentration** (T. Piketty, *Capital in the Twenty-First Century*, 2014) | Concentration of returns when r > g | Wealth-focused | Data and dynamics for W_c in the GADM-0.3 power extension |
| **Entrepreneurial state** (M. Mazzucato, 2013) | Public risk-bearing in innovation | Focused on the state | Evidence for public risk pools (F) |
## 4. Automation and distribution
| Work | Overlap | Difference | Borrow |
|---|---|---|---|
| **Task-based automation** (D. Acemoglu & P. Restrepo, e.g. "Automation and New Tasks", *Journal of Economic Perspectives*, 2019) | Automation displaces tasks, new tasks reinstate labor | Labor-market focus, assumes wage-based participation | Labor share dynamics for w_L |
| **AI and income distribution** (A. Korinek & J. Stiglitz, NBER working paper, 2017) | Redistribution needs when automation concentrates returns | Standard welfare economics | Distribution regimes for claims I |
## 5. Systems, cybernetics and viability
| Work | Overlap | Difference | Borrow |
|---|---|---|---|
| **System dynamics** (J. Forrester, *Industrial Dynamics*, 1961; D. Meadows et al., *The Limits to Growth*, 1972) | Stock-and-flow modeling, feedback loops | GADM is a direct descendant in method | Method: causal-loop diagrams, stock-flow conventions, validation practice |
| **Requisite variety** (W. R. Ashby, *An Introduction to Cybernetics*, 1956) | A regulator needs as much variety as what it regulates; the membrane as variety filter | Abstract cybernetics | Theoretical basis for membrane design |
| **Viable System Model** (S. Beer, *Brain of the Firm*, 1972) | Viability, recursion, regulation of organizations | Organizational cybernetics, not learning systems | Recursion and viability vocabulary for the AIPN and the organism lens |
| **Resilience and panarchy** (C. S. Holling; L. Gunderson & C. S. Holling, *Panarchy*, 2002) | Adaptive cycles, release and reorganization ≈ disassemble/reassemble | Ecological systems | Adaptive-cycle framing for transition dynamics (WS-12) |
| **Planetary boundaries** (J. Rockström et al., *Nature*, 2009) | Non-tradeable ecological floors | Earth-system science | Grounding for the E floor |
| **Doughnut economics** (K. Raworth, 2017) | Social floor plus ecological ceiling as a viability corridor | No dynamic model of generativity | Corridor framing for constitutional constraints |
## 6. Attention
| Work | Overlap | Difference | Borrow |
|---|---|---|---|
| **H. A. Simon**, "Designing Organizations for an Information-Rich World" (1971) | "A wealth of information creates a poverty of attention" | Organizational design | Founding statement of attention as the scarce resource |
| **Attention economy** (T. Davenport & J. Beck, *The Attention Economy*, 2001) | Attention as an economic resource | Managerial, treats attention as something to capture | Contrast case for x_att |
| **Surveillance capitalism** (S. Zuboff, 2019) | Extraction-funded attention, discovery concentration | Critical, not modeled | Scenario grounding for the attention-oligopoly regime |
| **Goodhart's law / Campbell's law** | Metric gaming | — | Basis for the metrics catalog's Goodhart risks |
---
## 7. What appears new in this project
To be confirmed by an actual literature search:
1. **Generativity as the objective.** Using *viable future assembly space*
(rather than welfare, output or capability sets alone) as the target of
institutional design.
2. **Information organisms as a distinct capital class**, with learning
with use, lineage inheritance, membranes and metabolism, coupled into a
macro model. Related work treats AI as automation capital or as a labor
substitute.
3. **Membrane and lineage control as domination channels**, separate from
wealth.
4. **Attention headroom as a stock inside a macro diagnostic**, with an
explicit guard against counting captured attention.
## 8. Next steps
- Run a real literature search (WS-01, WS-07, WS-14 priorities) and verify
the bibliographic details above.
- Look specifically for prior macro models that treat AI systems as
learning, inheritable capital; any such work would affect claim 2.
- Review system-dynamics validation practice (e.g. structure-verification
and extreme-condition tests) and apply it to GADM-0.2.

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# Scenarios
Scenario definitions for GADM simulations, one JSON file per scenario.
| Field | Meaning |
|-------|---------|
| `name` | identifier; must match the file name |
| `title`, `perturbation`, `question` | from the GADM-0.1 § 23 scenario table, or the organism axes in `models/InformationOrganismsInGADM.md` § 5 |
| `model` | model version the parameters belong to |
| `extends` | optional; inherit `params` and `init` from another scenario (one level) |
| `params`, `init` | overrides of `PARAMS` / `INIT` in `simulations/gadm02/gadm02.py` |
Unknown parameter names are rejected by the simulation.

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{
"name": "attention_oligopoly",
"title": "Attention oligopoly",
"model": "GADM-0.2",
"perturbation": "discovery concentrated, P up",
"question": "Can productive abundance coexist with declining effective assembly access?",
"params": {
"disc": 0.9,
"x_att": 0.9,
"m": 0.1,
"p2": 0.1
},
"init": {}
}

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{
"name": "automated_capitalism",
"title": "Automated capitalism",
"model": "GADM-0.2",
"perturbation": "K up, labor share down, ownership concentrated",
"question": "Can abundance coexist with collapsing agency and demand?",
"params": {
"auto": 0.95,
"oseed": 0.04,
"aO": 0.25,
"dshare": 0.0,
"cp": 0.0,
"od": 0.05,
"m": 0.1,
"L": 0.1,
"lin_open": 0.1,
"disc": 0.6
},
"init": {}
}

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{
"name": "baseline",
"title": "Baseline (current trends)",
"model": "GADM-0.2",
"perturbation": "none",
"question": "Reference trajectory for all comparisons.",
"params": {},
"init": {}
}

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{
"name": "commons_rich",
"title": "Commons-rich economy",
"model": "GADM-0.2",
"perturbation": "high rho, high X",
"question": "How powerful is reuse compared with raw investment?",
"params": {
"rho0": 0.6,
"IX": 0.06,
"lin_open": 0.8,
"std": 0.8,
"lX": 0.03
},
"init": {}
}

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{
"name": "dividend_abundance",
"title": "Dividend abundance",
"model": "GADM-0.2",
"perturbation": "automation plus broadly distributed claims",
"question": "Does demand stabilize without suppressing useful merit feedback?",
"params": {
"auto": 0.95,
"oseed": 0.04,
"aO": 0.25,
"dshare": 0.5,
"od": 0.2
},
"init": {}
}

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{
"name": "generative_attention_extraction",
"title": "Generative regime, attention extraction",
"model": "GADM-0.2",
"extends": "generative_regime",
"perturbation": "organism axis: extraction-funded attention regime",
"question": "Does the generative regime survive an extraction-funded attention economy?",
"params": {
"x_att": 0.9,
"disc": 0.7
},
"init": {}
}

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{
"name": "generative_concentrated_lineages",
"title": "Generative regime, concentrated lineages",
"model": "GADM-0.2",
"extends": "generative_regime",
"perturbation": "organism axis: lineage ownership concentrated, membranes operator-controlled",
"question": "Does the generative regime survive concentrated control of information organisms?",
"params": {
"L": 0.1,
"lin_open": 0.1,
"m": 0.2
},
"init": {}
}

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{
"name": "generative_regime",
"title": "Generative regime",
"model": "GADM-0.2",
"perturbation": "high X, G, Q, N; distributed claims; bounded P",
"question": "Does the hypothesized generative feedback loop remain stable?",
"params": {
"auto": 0.95,
"oseed": 0.04,
"aO": 0.25,
"dshare": 0.35,
"cp": 0.15,
"od": 0.3,
"m": 0.8,
"L": 0.8,
"lin_open": 0.8,
"rho0": 0.5,
"IX": 0.05,
"std": 0.8,
"expl": 0.8,
"x_att": 0.2,
"f0": 0.06,
"disc": 0.2
},
"init": {}
}

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@ -0,0 +1,14 @@
{
"name": "universal_venture_access",
"title": "Universal venture access",
"model": "GADM-0.2",
"perturbation": "F up, restartability up",
"question": "Does experimentation rise sustainably or mainly increase waste and externalities?",
"params": {
"f0": 0.08,
"fY": 0.15,
"g3": 0.1,
"dF": 0.04
},
"init": {}
}

19
simulations/README.md Normal file
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@ -0,0 +1,19 @@
# Simulations
Runnable implementations of the models in `models/`. Each simulation names the
model version it implements.
| Directory | Model | Entry points |
|-----------|-------|--------------|
| `gadm02/` | GADM-0.2 (`models/GADM-0.2.md`) | `run_scenarios.py`, `sensitivity.py`, `test_gadm02.py` |
Python 3.10+, standard library only.
```bash
python3 -m unittest discover -s simulations/gadm02 # tests
cd simulations/gadm02 && python3 run_scenarios.py # → results/summary.md + CSVs
cd simulations/gadm02 && python3 sensitivity.py # → results/sensitivity.md
```
Results under `results/` are committed so that model documents can cite them.
Regenerate them after any change to the model or the scenarios.

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@ -0,0 +1,175 @@
"""GADM-0.2 toy simulation (normalized stocks, Euler integration).
Implements models/GADM-0.2.md. Every stock lives in [0, 1]. Inflows are scaled
by headroom (1 - x) and outflows by level (x), so stocks stay bounded without
clipping. This is a hypothesis generator, not a forecast (GADM-0.1 § 27).
Standard library only, deterministic.
"""
from __future__ import annotations
import math
MODEL_VERSION = "GADM-0.2"
STOCKS = ("H", "X", "Kp", "Ko", "F", "G", "N", "Q", "P", "E", "S", "A")
INIT = {
"H": 0.50, # human capability
"X": 0.40, # assembly commons
"Kp": 0.50, # physical / conventional productive capacity
"Ko": 0.05, # information-organism capability (K_Omega)
"F": 0.40, # risk capacity
"G": 0.50, # effective agency
"N": 0.50, # diversity & composability
"Q": 0.50, # epistemic capacity
"P": 0.40, # domination concentration
"E": 0.50, # ecological headroom
"S": 0.50, # social cohesion
"A": 0.50, # attention headroom (unclaimed, self-directed attention)
}
PARAMS = {
# experimentation V (GADM-0.1 § 5) + organism term gated by Q (M2)
"v0": 2.5, "eH": 0.5, "eX": 0.5, "eF": 0.3, "eG": 0.4, "eN": 0.3,
"eQ": 0.3, "eP": 0.5, "vo": 0.4,
# selection channel weights (§ 6) + organism channel O
"wm": 0.35, "ws": 0.20, "wc": 0.15, "wp": 0.15, "wo": 0.30,
# claims on output (§ 9) + participation claims C_p
"wL0": 0.60, "auto": 0.6, "dshare": 0.10, "cp": 0.0, "od": 0.20,
# commons (§ 7)
"aX": 0.30, "rho0": 0.30, "rhoO": 0.40, "IX": 0.02, "dX": 0.04,
"lX": 0.06, "lXo": 0.06,
# productive capacity (§ 8) and organism capability (mapping note § 1)
"aK": 0.35, "dK": 0.05, "aO": 0.15, "ell": 0.25, "oseed": 0.01, "dO": 0.06,
# human capability (§ 11)
"h0": 0.08, "hA": 0.04, "hT": 0.03, "dH": 0.05, "desk": 0.06,
# risk capacity
"f0": 0.03, "fY": 0.08, "dF": 0.06,
# effective agency (§ 12)
"g1": 0.08, "g2": 0.05, "g3": 0.04, "g4": 0.04, "dG": 0.04,
"b1": 0.08, "b2": 0.06,
# diversity & composability (§ 16)
"n1": 0.30, "n2": 0.05, "dN": 0.04, "n3": 0.06, "n4": 0.08,
# epistemic capacity (§ 15)
"q0": 0.04, "q1": 0.05, "qo": 0.06, "dQ": 0.03, "q2": 0.06, "qx": 0.08,
"q3": 0.10,
# domination (§ 13) + membrane control and lineage concentration
"p1": 0.10, "p2": 0.06, "p3": 0.06, "p4": 0.06,
"p5": 0.10, "p6": 0.05, "p7": 0.06,
# ecology (§ 14)
"ereg": 0.05, "e1": 0.06, "e2": 0.03, "thr": 1.0,
# cohesion (§ 17), relaxation rate
"srate": 0.20,
# attention headroom (mapping note § 4)
"arec": 0.10, "aext": 0.12,
# institutional / organism-regime levers (scenario axes)
"m": 0.30, # membrane control held by users/communities (0..1)
"L": 0.30, # lineage diffusion (0 concentrated .. 1 diffuse)
"lin_open": 0.30, # openly inheritable lineages (commons vs enclosure)
"std": 0.50, # open standards / interoperability
"disc": 0.40, # discovery concentration
"expl": 0.40, # explainability / provenance enforcement
"x_att": 0.50, # attention-extraction regime (0 protected .. 1 extraction)
}
FLOORS = {"G": (">=", 0.20), "E": (">=", 0.20), "P": ("<=", 0.70), "A": (">=", 0.20)}
def auxiliaries(s: dict, p: dict) -> dict:
"""Flows and auxiliaries for state s under parameters p."""
H, X, Kp, Ko, F, G, N, Q, P, E, S, A = (s[k] for k in STOCKS)
K = 1 - (1 - Kp) * (1 - Ko)
ystar = K * math.sqrt(E)
wl = p["wL0"] * (1 - p["auto"] * Ko)
cap = 1 - wl
priv = cap * max(0.0, 1 - p["dshare"] - p["cp"])
B = min(1.0, wl + cap * (p["dshare"] + p["cp"]) + priv * p["od"])
dem = (0.4 + 0.6 * B) * (0.6 + 0.4 * S)
v_h = p["v0"] * (H ** p["eH"]) * (X ** p["eX"]) * (F ** p["eF"]) * (G ** p["eG"]) \
* (N ** p["eN"]) * (Q ** p["eQ"]) * ((1 - P) ** p["eP"])
V = min(1.0, v_h + p["vo"] * Ko * Q)
M = math.sqrt(A * dem)
O = Q * (1 - p["disc"])
w = [p["wm"], p["ws"], p["wc"], p["wp"], p["wo"] * Ko]
q = [M, Q, N * (1 - P), S, O]
sigma = sum(a * b for a, b in zip(w, q)) / sum(w)
vsel = V * sigma
rho = min(1.0, p["rho0"] + p["rhoO"] * Ko * p["lin_open"])
return {"K": K, "Ystar": ystar, "B": B, "dem": dem, "V": V, "sigma": sigma,
"Vsel": vsel, "rho": rho, "wl": wl}
def derivatives(s: dict, p: dict) -> tuple[dict, dict]:
H, X, Kp, Ko, F, G, N, Q, P, E, S, A = (s[k] for k in STOCKS)
a = auxiliaries(s, p)
B, dem, V, vsel, rho = a["B"], a["dem"], a["V"], a["Vsel"], a["rho"]
m, L, lo, std = p["m"], p["L"], p["lin_open"], p["std"]
d = {}
d["X"] = (p["aX"] * rho * vsel + p["IX"]) * (1 - X) \
- (p["dX"] + p["lX"] * P + p["lXo"] * Ko * (1 - lo)) * X
d["Kp"] = p["aK"] * vsel * dem * (1 - Kp) - p["dK"] * Kp
d["Ko"] = (p["aO"] * vsel * dem + p["ell"] * Ko * dem * Q + p["oseed"]) * (1 - Ko) \
- p["dO"] * Ko
d["H"] = (p["h0"] * (0.5 * S + 0.5 * B) + p["hA"] * A + p["hT"] * X) * (1 - H) \
- (p["dH"] + p["desk"] * Ko * (1 - m)) * H
d["F"] = (p["f0"] + p["fY"] * a["Ystar"] * B) * (1 - F) - p["dF"] * F
d["G"] = (p["g1"] * B + p["g2"] * X * (1 - P) + p["g3"] * F + p["g4"] * Ko * m) * (1 - G) \
- (p["dG"] + p["b1"] * P + p["b2"] * Ko * (1 - m)) * G
d["N"] = (p["n1"] * V * (1 - P) + p["n2"] * X * std) * (1 - N) \
- (p["dN"] + p["n3"] * P + p["n4"] * Ko * (1 - L)) * N
d["Q"] = (p["q0"] + p["q1"] * X + p["qo"] * Ko * p["expl"]) * (1 - Q) \
- (p["dQ"] + p["q2"] * P + p["qx"] * Ko * (1 - p["expl"]) + p["q3"] * max(0.0, V - Q)) * Q
d["P"] = (p["p1"] * vsel * (1 - B) + p["p2"] * p["disc"] + p["p3"] * Ko * (1 - m)
+ p["p4"] * Ko * (1 - L)) * (1 - P) \
- (p["p5"] * Q * S + p["p6"] * X * std + p["p7"] * B) * P
d["E"] = p["ereg"] * (1 - E) - (p["e1"] * Kp * dem * p["thr"] + p["e2"] * Ko) * E
s_target = (G ** 0.4) * ((1 - P) ** 0.3) * (B ** 0.2) * (A ** 0.1)
d["S"] = p["srate"] * (s_target - S)
d["A"] = p["arec"] * (0.4 + 0.6 * B) * (1 - A) - p["aext"] * p["x_att"] * (0.2 + Ko) * A
return d, a
def vfac(s: dict, with_attention: bool = True) -> float:
"""Geometric-mean VFAC (equal exponents). Diagnostic, not a welfare function."""
f = [s["H"], s["X"], s["G"], s["N"], s["Q"], s["S"], s["E"], 1 - s["P"]]
if with_attention:
f.append(s["A"])
if min(f) <= 0.0:
return 0.0 # a collapsed foundational subsystem collapses the diagnostic
return math.exp(sum(math.log(x) for x in f) / len(f))
def simulate(params: dict | None = None, init: dict | None = None,
T: float = 100.0, dt: float = 0.1, record_every: int = 10) -> list[dict]:
p = {**PARAMS, **(params or {})}
s = {**INIT, **(init or {})}
unknown = set(p) - set(PARAMS)
if unknown:
raise KeyError(f"unknown parameters: {sorted(unknown)}")
rows = []
steps = int(round(T / dt))
for i in range(steps + 1):
d, a = derivatives(s, p)
if i % record_every == 0:
row = {"t": round(i * dt, 6), **s, **{k: a[k] for k in ("Ystar", "B", "V", "Vsel", "sigma")}}
row["VFAC"] = vfac(s)
row["VFAC01"] = vfac(s, with_attention=False)
rows.append(row)
if i < steps:
s = {k: min(1.0, max(0.0, s[k] + dt * d[k])) for k in STOCKS}
return rows
def floor_violations(rows: list[dict]) -> dict:
"""Share of recorded periods in which each constitutional floor is violated."""
out = {}
for k, (op, lim) in FLOORS.items():
bad = [r for r in rows if (r[k] < lim if op == ">=" else r[k] > lim)]
out[k] = len(bad) / len(rows)
return out

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@ -0,0 +1,102 @@
t,H,X,Kp,Ko,F,G,N,Q,P,E,S,A,Ystar,B,V,Vsel,sigma,VFAC,VFAC01
0.0,0.5,0.4,0.5,0.05,0.4,0.5,0.5,0.5,0.4,0.5,0.5,0.5,0.37123,0.69904,0.33894,0.16502,0.48685,0.49774,0.49746
1.0,0.51277,0.3945,0.49428,0.07575,0.40624,0.50341,0.50075,0.50171,0.42751,0.51384,0.51146,0.52545,0.38178,0.69236,0.34122,0.16683,0.48893,0.50194,0.49908
2.0,0.52367,0.38869,0.48917,0.1012,0.41205,0.50428,0.49879,0.50206,0.45184,0.52644,0.51987,0.54665,0.39243,0.68577,0.3416,0.16703,0.48896,0.50426,0.4992
3.0,0.53278,0.38264,0.48442,0.12606,0.41744,0.50315,0.49457,0.50128,0.47344,0.53788,0.52563,0.56398,0.40294,0.67933,0.3404,0.16589,0.48735,0.50497,0.49805
4.0,0.5402,0.37639,0.47983,0.15009,0.42247,0.50046,0.48848,0.49959,0.49271,0.54826,0.5291,0.57783,0.4131,0.6731,0.33788,0.16369,0.48446,0.50435,0.49585
5.0,0.54606,0.36998,0.47528,0.17311,0.42714,0.4966,0.48089,0.49717,0.50998,0.55765,0.53065,0.58859,0.42275,0.66713,0.33427,0.16064,0.48058,0.50262,0.4928
6.0,0.55052,0.36347,0.47064,0.19497,0.43147,0.49187,0.47209,0.49419,0.52553,0.56614,0.53058,0.59663,0.43178,0.66146,0.32979,0.15697,0.47597,0.49998,0.48906
7.0,0.55371,0.3569,0.46586,0.21555,0.43549,0.48654,0.46237,0.49078,0.53959,0.57382,0.52918,0.60233,0.44011,0.65613,0.32463,0.15285,0.47084,0.49662,0.48478
8.0,0.5558,0.35031,0.46088,0.23481,0.4392,0.48083,0.45195,0.48706,0.55235,0.58077,0.5267,0.606,0.4477,0.65114,0.31895,0.14843,0.46535,0.49267,0.48008
9.0,0.55691,0.34373,0.45569,0.2527,0.44262,0.47491,0.44103,0.48313,0.56397,0.58707,0.52335,0.60799,0.45454,0.6465,0.3129,0.14383,0.45967,0.48828,0.47508
10.0,0.55719,0.33721,0.45028,0.26922,0.44577,0.46891,0.42979,0.47907,0.5746,0.59278,0.51934,0.60856,0.46063,0.64222,0.3066,0.13917,0.4539,0.48357,0.46987
11.0,0.55677,0.33078,0.44466,0.2844,0.44865,0.46295,0.41836,0.47497,0.58433,0.59797,0.51483,0.60798,0.46598,0.63828,0.30017,0.13451,0.44813,0.47862,0.46452
12.0,0.55575,0.32447,0.43884,0.29827,0.45128,0.45711,0.40686,0.47086,0.59327,0.60271,0.50996,0.6065,0.47063,0.63469,0.29368,0.12993,0.44244,0.47354,0.45911
13.0,0.55425,0.31829,0.43284,0.31089,0.45367,0.45146,0.39541,0.46679,0.60149,0.60704,0.50484,0.60429,0.47462,0.63142,0.28721,0.12548,0.43689,0.46838,0.4537
14.0,0.55237,0.31229,0.42669,0.32232,0.45584,0.44603,0.38408,0.46281,0.60906,0.61103,0.49959,0.60156,0.47799,0.62845,0.28084,0.12118,0.43151,0.46321,0.44833
15.0,0.55017,0.30646,0.42042,0.33263,0.4578,0.44086,0.37294,0.45894,0.61604,0.61472,0.49428,0.59843,0.48078,0.62578,0.27459,0.11707,0.42635,0.45809,0.44303
16.0,0.54774,0.30084,0.41405,0.34189,0.45956,0.43597,0.36205,0.45519,0.62248,0.61815,0.48899,0.59505,0.48304,0.62338,0.26852,0.11316,0.42142,0.45304,0.43786
17.0,0.54515,0.29542,0.40761,0.35018,0.46114,0.43138,0.35145,0.45159,0.62842,0.62135,0.48376,0.59152,0.48482,0.62123,0.26265,0.10946,0.41673,0.4481,0.43282
18.0,0.54244,0.29023,0.40113,0.35757,0.46254,0.42708,0.34118,0.44814,0.6339,0.62435,0.47866,0.58792,0.48616,0.61932,0.257,0.10596,0.4123,0.44331,0.42794
19.0,0.53966,0.28525,0.39464,0.36413,0.46379,0.42307,0.33126,0.44485,0.63896,0.62719,0.4737,0.58432,0.48711,0.61762,0.25159,0.10268,0.40814,0.43867,0.42323
20.0,0.53685,0.28051,0.38815,0.36994,0.46489,0.41935,0.32172,0.44173,0.64362,0.62988,0.46893,0.58079,0.48769,0.61611,0.24643,0.09961,0.40423,0.43421,0.41871
21.0,0.53405,0.276,0.38169,0.37505,0.46585,0.41591,0.31257,0.43876,0.64791,0.63245,0.46436,0.57736,0.48797,0.61479,0.24151,0.09674,0.40057,0.42994,0.41438
22.0,0.53128,0.27171,0.37528,0.37954,0.46669,0.41274,0.30381,0.43596,0.65187,0.63492,0.46,0.57406,0.48796,0.61362,0.23684,0.09407,0.39717,0.42585,0.41025
23.0,0.52857,0.26765,0.36893,0.38345,0.46741,0.40982,0.29544,0.43332,0.65551,0.6373,0.45586,0.57093,0.4877,0.61261,0.23242,0.09158,0.394,0.42196,0.40631
24.0,0.52593,0.26382,0.36267,0.38685,0.46803,0.40714,0.28748,0.43084,0.65886,0.6396,0.45195,0.56797,0.48723,0.61173,0.22824,0.08926,0.39107,0.41827,0.40258
25.0,0.52338,0.2602,0.35651,0.38979,0.46855,0.40468,0.2799,0.42851,0.66194,0.64183,0.44827,0.56519,0.48656,0.61097,0.22431,0.08711,0.38836,0.41478,0.39904
26.0,0.52093,0.25679,0.35045,0.39231,0.46898,0.40244,0.27272,0.42632,0.66476,0.64401,0.44482,0.56261,0.48574,0.61031,0.2206,0.08512,0.38586,0.41148,0.3957
27.0,0.51859,0.25359,0.34452,0.39446,0.46933,0.4004,0.26592,0.42428,0.66735,0.64614,0.44159,0.56022,0.48477,0.60976,0.21711,0.08327,0.38356,0.40837,0.39255
28.0,0.51636,0.25058,0.33872,0.39627,0.46961,0.39854,0.25948,0.42237,0.66972,0.64822,0.43858,0.55802,0.48369,0.60929,0.21383,0.08157,0.38145,0.40545,0.38958
29.0,0.51425,0.24776,0.33305,0.39778,0.46982,0.39685,0.25341,0.42058,0.67189,0.65027,0.43578,0.556,0.48251,0.60889,0.21076,0.07999,0.37952,0.40271,0.3868
30.0,0.51226,0.24513,0.32753,0.39903,0.46997,0.39531,0.24768,0.41892,0.67387,0.65228,0.43318,0.55417,0.48124,0.60857,0.20788,0.07853,0.37775,0.40015,0.38419
31.0,0.51038,0.24266,0.32216,0.40005,0.47007,0.39392,0.24228,0.41737,0.67568,0.65426,0.43078,0.5525,0.47992,0.60831,0.20519,0.07718,0.37613,0.39775,0.38174
32.0,0.50863,0.24036,0.31694,0.40085,0.47012,0.39267,0.2372,0.41593,0.67732,0.65621,0.42856,0.551,0.47854,0.6081,0.20267,0.07593,0.37466,0.39551,0.37945
33.0,0.50699,0.23822,0.31187,0.40148,0.47013,0.39153,0.23244,0.41459,0.67882,0.65813,0.42652,0.54966,0.47713,0.60794,0.20032,0.07478,0.37333,0.39343,0.37732
34.0,0.50546,0.23622,0.30696,0.40194,0.47009,0.39051,0.22796,0.41335,0.68018,0.66003,0.42465,0.54846,0.47569,0.60782,0.19812,0.07372,0.37211,0.39149,0.37533
35.0,0.50404,0.23436,0.30221,0.40226,0.47003,0.38959,0.22377,0.4122,0.68141,0.6619,0.42293,0.54739,0.47424,0.60773,0.19607,0.07274,0.37102,0.38969,0.37348
36.0,0.50273,0.23264,0.29762,0.40246,0.46993,0.38876,0.21984,0.41113,0.68253,0.66375,0.42136,0.54645,0.47278,0.60768,0.19416,0.07184,0.37002,0.38802,0.37176
37.0,0.50152,0.23104,0.29319,0.40255,0.46981,0.38802,0.21616,0.41015,0.68353,0.66557,0.41992,0.54562,0.47132,0.60766,0.19238,0.07101,0.36913,0.38648,0.37017
38.0,0.50041,0.22955,0.28892,0.40255,0.46966,0.38735,0.21273,0.40924,0.68444,0.66737,0.41861,0.5449,0.46987,0.60766,0.19072,0.07025,0.36833,0.38505,0.3687
39.0,0.49939,0.22817,0.2848,0.40247,0.4695,0.38675,0.20952,0.4084,0.68526,0.66914,0.41743,0.54428,0.46843,0.60768,0.18918,0.06954,0.36761,0.38374,0.36733
40.0,0.49846,0.2269,0.28084,0.40232,0.46932,0.38622,0.20653,0.40762,0.68599,0.67089,0.41635,0.54375,0.46702,0.60772,0.18774,0.0689,0.36696,0.38253,0.36608
41.0,0.49761,0.22572,0.27703,0.40212,0.46912,0.38575,0.20373,0.4069,0.68665,0.67261,0.41537,0.5433,0.46563,0.60777,0.18641,0.0683,0.36639,0.38142,0.36492
42.0,0.49684,0.22463,0.27337,0.40187,0.46892,0.38533,0.20113,0.40625,0.68724,0.6743,0.41449,0.54293,0.46427,0.60784,0.18518,0.06775,0.36588,0.38039,0.36385
43.0,0.49614,0.22362,0.26986,0.40158,0.4687,0.38495,0.19872,0.40564,0.68776,0.67597,0.41369,0.54262,0.46294,0.60791,0.18403,0.06725,0.36543,0.37946,0.36287
44.0,0.49551,0.22269,0.26649,0.40125,0.46847,0.38462,0.19646,0.40508,0.68823,0.67761,0.41298,0.54237,0.46164,0.608,0.18297,0.06679,0.36503,0.3786,0.36197
45.0,0.49494,0.22184,0.26326,0.4009,0.46824,0.38433,0.19437,0.40457,0.68864,0.67921,0.41234,0.54217,0.46039,0.60809,0.18198,0.06636,0.36467,0.37782,0.36115
46.0,0.49444,0.22105,0.26017,0.40053,0.46801,0.38408,0.19243,0.4041,0.689,0.68079,0.41177,0.54202,0.45917,0.60818,0.18107,0.06598,0.36436,0.37711,0.36039
47.0,0.49399,0.22032,0.25722,0.40015,0.46777,0.38385,0.19063,0.40367,0.68932,0.68234,0.41125,0.54192,0.45799,0.60828,0.18023,0.06562,0.3641,0.37646,0.35971
48.0,0.49358,0.21965,0.25439,0.39975,0.46754,0.38365,0.18896,0.40328,0.6896,0.68386,0.4108,0.54185,0.45685,0.60838,0.17945,0.06529,0.36386,0.37588,0.35908
49.0,0.49323,0.21904,0.25169,0.39935,0.4673,0.38348,0.18742,0.40292,0.68984,0.68535,0.4104,0.54182,0.45576,0.60849,0.17873,0.065,0.36366,0.37535,0.35851
50.0,0.49292,0.21848,0.24911,0.39894,0.46706,0.38334,0.18598,0.40259,0.69005,0.68681,0.41004,0.54181,0.45471,0.60859,0.17806,0.06472,0.36349,0.37487,0.358
51.0,0.49264,0.21796,0.24665,0.39854,0.46682,0.38321,0.18466,0.40229,0.69023,0.68823,0.40973,0.54184,0.4537,0.6087,0.17745,0.06448,0.36334,0.37444,0.35753
52.0,0.49241,0.21749,0.24431,0.39813,0.46659,0.3831,0.18344,0.40201,0.69039,0.68962,0.40946,0.54188,0.45273,0.6088,0.17689,0.06425,0.36322,0.37405,0.35711
53.0,0.4922,0.21706,0.24208,0.39773,0.46636,0.383,0.18231,0.40177,0.69052,0.69098,0.40922,0.54194,0.45181,0.60891,0.17637,0.06404,0.36312,0.3737,0.35673
54.0,0.49203,0.21666,0.23995,0.39734,0.46613,0.38293,0.18127,0.40154,0.69062,0.69231,0.40901,0.54202,0.45093,0.60901,0.17589,0.06385,0.36303,0.37339,0.3564
55.0,0.49188,0.2163,0.23793,0.39695,0.46591,0.38286,0.18031,0.40133,0.69071,0.6936,0.40883,0.54211,0.45009,0.60911,0.17545,0.06368,0.36297,0.37311,0.35609
56.0,0.49176,0.21597,0.236,0.39657,0.4657,0.38281,0.17943,0.40115,0.69079,0.69486,0.40868,0.54222,0.44929,0.60921,0.17504,0.06353,0.36292,0.37287,0.35582
57.0,0.49166,0.21567,0.23417,0.39621,0.46549,0.38276,0.17861,0.40098,0.69085,0.69608,0.40855,0.54233,0.44852,0.6093,0.17467,0.06338,0.36288,0.37265,0.35558
58.0,0.49158,0.2154,0.23243,0.39585,0.46528,0.38273,0.17787,0.40083,0.69089,0.69727,0.40844,0.54245,0.4478,0.6094,0.17433,0.06326,0.36285,0.37247,0.35537
59.0,0.49152,0.21515,0.23078,0.3955,0.46508,0.3827,0.17718,0.40069,0.69092,0.69843,0.40835,0.54258,0.44712,0.60949,0.17402,0.06314,0.36283,0.3723,0.35518
60.0,0.49147,0.21492,0.22922,0.39516,0.46489,0.38268,0.17655,0.40056,0.69094,0.69955,0.40828,0.54271,0.44647,0.60957,0.17374,0.06304,0.36282,0.37216,0.35501
61.0,0.49144,0.21472,0.22773,0.39484,0.4647,0.38267,0.17597,0.40045,0.69096,0.70064,0.40822,0.54284,0.44586,0.60966,0.17348,0.06294,0.36282,0.37203,0.35487
62.0,0.49142,0.21453,0.22632,0.39453,0.46452,0.38266,0.17545,0.40035,0.69096,0.7017,0.40817,0.54298,0.44528,0.60974,0.17324,0.06286,0.36283,0.37193,0.35475
63.0,0.49141,0.21436,0.22499,0.39423,0.46435,0.38265,0.17496,0.40026,0.69096,0.70273,0.40814,0.54311,0.44473,0.60982,0.17302,0.06278,0.36284,0.37184,0.35464
64.0,0.49141,0.21421,0.22373,0.39394,0.46418,0.38265,0.17452,0.40018,0.69095,0.70372,0.40811,0.54325,0.44422,0.60989,0.17282,0.06271,0.36286,0.37176,0.35455
65.0,0.49142,0.21407,0.22253,0.39367,0.46402,0.38266,0.17412,0.40011,0.69094,0.70468,0.4081,0.54339,0.44373,0.60996,0.17264,0.06265,0.36288,0.3717,0.35447
66.0,0.49144,0.21395,0.2214,0.39341,0.46387,0.38266,0.17376,0.40005,0.69092,0.70561,0.40809,0.54352,0.44328,0.61003,0.17248,0.06259,0.3629,0.37165,0.35441
67.0,0.49146,0.21384,0.22033,0.39316,0.46372,0.38267,0.17342,0.39999,0.6909,0.70651,0.40809,0.54365,0.44285,0.61009,0.17233,0.06255,0.36293,0.37162,0.35436
68.0,0.49149,0.21374,0.21932,0.39292,0.46358,0.38268,0.17312,0.39994,0.69088,0.70737,0.4081,0.54379,0.44245,0.61015,0.1722,0.0625,0.36296,0.37159,0.35432
69.0,0.49152,0.21365,0.21836,0.3927,0.46345,0.38269,0.17284,0.3999,0.69085,0.70821,0.40811,0.54391,0.44207,0.61021,0.17208,0.06246,0.36299,0.37157,0.35428
70.0,0.49156,0.21357,0.21746,0.39248,0.46332,0.38271,0.1726,0.39986,0.69082,0.70902,0.40812,0.54404,0.44172,0.61027,0.17197,0.06243,0.36303,0.37155,0.35426
71.0,0.49159,0.2135,0.21661,0.39228,0.4632,0.38272,0.17237,0.39983,0.69079,0.7098,0.40814,0.54416,0.44139,0.61032,0.17187,0.0624,0.36306,0.37155,0.35424
72.0,0.49164,0.21344,0.2158,0.39208,0.46308,0.38274,0.17217,0.3998,0.69076,0.71055,0.40816,0.54427,0.44109,0.61037,0.17178,0.06237,0.36309,0.37155,0.35423
73.0,0.49168,0.21338,0.21504,0.3919,0.46297,0.38275,0.17198,0.39977,0.69073,0.71127,0.40818,0.54439,0.4408,0.61042,0.1717,0.06235,0.36313,0.37155,0.35423
74.0,0.49173,0.21333,0.21433,0.39173,0.46287,0.38277,0.17182,0.39975,0.69069,0.71196,0.40821,0.5445,0.44054,0.61046,0.17163,0.06233,0.36316,0.37156,0.35423
75.0,0.49177,0.21329,0.21366,0.39157,0.46277,0.38279,0.17167,0.39973,0.69066,0.71263,0.40824,0.5446,0.44029,0.61051,0.17157,0.06231,0.3632,0.37158,0.35424
76.0,0.49182,0.21325,0.21302,0.39141,0.46267,0.38281,0.17154,0.39972,0.69063,0.71327,0.40826,0.5447,0.44006,0.61055,0.17151,0.0623,0.36323,0.37159,0.35425
77.0,0.49187,0.21322,0.21242,0.39127,0.46258,0.38282,0.17142,0.39971,0.6906,0.71389,0.40829,0.5448,0.43985,0.61058,0.17146,0.06228,0.36327,0.37161,0.35426
78.0,0.49191,0.21319,0.21186,0.39113,0.4625,0.38284,0.17131,0.39969,0.69056,0.71448,0.40832,0.54489,0.43965,0.61062,0.17141,0.06227,0.3633,0.37164,0.35428
79.0,0.49196,0.21316,0.21133,0.39101,0.46242,0.38286,0.17122,0.39969,0.69053,0.71505,0.40835,0.54498,0.43947,0.61065,0.17137,0.06227,0.36333,0.37166,0.3543
80.0,0.492,0.21314,0.21083,0.39089,0.46235,0.38287,0.17113,0.39968,0.6905,0.7156,0.40838,0.54507,0.4393,0.61068,0.17134,0.06226,0.36336,0.37169,0.35432
81.0,0.49205,0.21312,0.21037,0.39077,0.46228,0.38289,0.17106,0.39967,0.69047,0.71612,0.40841,0.54515,0.43914,0.61071,0.17131,0.06225,0.3634,0.37171,0.35434
82.0,0.49209,0.21311,0.20993,0.39067,0.46221,0.38291,0.17099,0.39967,0.69044,0.71662,0.40844,0.54523,0.439,0.61074,0.17128,0.06225,0.36343,0.37174,0.35436
83.0,0.49214,0.21309,0.20951,0.39057,0.46215,0.38292,0.17093,0.39967,0.69041,0.7171,0.40847,0.5453,0.43887,0.61076,0.17126,0.06224,0.36346,0.37177,0.35439
84.0,0.49218,0.21308,0.20912,0.39048,0.46209,0.38294,0.17088,0.39967,0.69038,0.71756,0.4085,0.54537,0.43874,0.61079,0.17124,0.06224,0.36348,0.3718,0.35441
85.0,0.49222,0.21307,0.20876,0.39039,0.46203,0.38295,0.17084,0.39967,0.69035,0.718,0.40853,0.54543,0.43863,0.61081,0.17122,0.06224,0.36351,0.37183,0.35444
86.0,0.49226,0.21307,0.20842,0.39031,0.46198,0.38296,0.1708,0.39967,0.69033,0.71842,0.40856,0.5455,0.43853,0.61083,0.1712,0.06224,0.36354,0.37186,0.35447
87.0,0.4923,0.21306,0.2081,0.39023,0.46194,0.38298,0.17077,0.39967,0.6903,0.71882,0.40858,0.54555,0.43843,0.61085,0.17119,0.06224,0.36356,0.37189,0.35449
88.0,0.49234,0.21306,0.20779,0.39016,0.46189,0.38299,0.17074,0.39967,0.69028,0.7192,0.40861,0.54561,0.43835,0.61087,0.17118,0.06224,0.36359,0.37192,0.35452
89.0,0.49237,0.21306,0.20751,0.3901,0.46185,0.383,0.17072,0.39967,0.69025,0.71957,0.40864,0.54566,0.43827,0.61089,0.17117,0.06224,0.36361,0.37195,0.35455
90.0,0.49241,0.21305,0.20725,0.39004,0.46181,0.38302,0.1707,0.39967,0.69023,0.71992,0.40866,0.54571,0.4382,0.6109,0.17117,0.06224,0.36363,0.37197,0.35457
91.0,0.49244,0.21305,0.207,0.38998,0.46177,0.38303,0.17069,0.39968,0.69021,0.72025,0.40868,0.54576,0.43813,0.61092,0.17116,0.06224,0.36365,0.372,0.3546
92.0,0.49247,0.21305,0.20677,0.38993,0.46174,0.38304,0.17067,0.39968,0.69019,0.72057,0.40871,0.5458,0.43808,0.61093,0.17116,0.06225,0.36367,0.37203,0.35463
93.0,0.4925,0.21306,0.20655,0.38988,0.46171,0.38305,0.17066,0.39968,0.69017,0.72088,0.40873,0.54584,0.43802,0.61094,0.17115,0.06225,0.36369,0.37206,0.35465
94.0,0.49253,0.21306,0.20634,0.38984,0.46168,0.38306,0.17065,0.39969,0.69015,0.72117,0.40875,0.54588,0.43797,0.61095,0.17115,0.06225,0.36371,0.37208,0.35468
95.0,0.49256,0.21306,0.20615,0.38979,0.46165,0.38307,0.17065,0.39969,0.69014,0.72144,0.40877,0.54592,0.43793,0.61097,0.17115,0.06225,0.36373,0.37211,0.3547
96.0,0.49259,0.21306,0.20597,0.38976,0.46163,0.38308,0.17064,0.3997,0.69012,0.7217,0.40879,0.54595,0.43789,0.61098,0.17115,0.06225,0.36374,0.37213,0.35473
97.0,0.49261,0.21307,0.20581,0.38972,0.46161,0.38309,0.17064,0.3997,0.6901,0.72195,0.4088,0.54599,0.43786,0.61098,0.17115,0.06226,0.36376,0.37216,0.35475
98.0,0.49263,0.21307,0.20565,0.38969,0.46159,0.38309,0.17064,0.3997,0.69009,0.72219,0.40882,0.54601,0.43783,0.61099,0.17115,0.06226,0.36377,0.37218,0.35477
99.0,0.49266,0.21307,0.2055,0.38966,0.46157,0.3831,0.17064,0.39971,0.69007,0.72242,0.40884,0.54604,0.4378,0.611,0.17115,0.06226,0.36379,0.3722,0.35479
100.0,0.49268,0.21308,0.20537,0.38963,0.46155,0.38311,0.17064,0.39971,0.69006,0.72263,0.40885,0.54607,0.43777,0.61101,0.17116,0.06227,0.3638,0.37223,0.35482
1 t H X Kp Ko F G N Q P E S A Ystar B V Vsel sigma VFAC VFAC01
2 0.0 0.5 0.4 0.5 0.05 0.4 0.5 0.5 0.5 0.4 0.5 0.5 0.5 0.37123 0.69904 0.33894 0.16502 0.48685 0.49774 0.49746
3 1.0 0.51277 0.3945 0.49428 0.07575 0.40624 0.50341 0.50075 0.50171 0.42751 0.51384 0.51146 0.52545 0.38178 0.69236 0.34122 0.16683 0.48893 0.50194 0.49908
4 2.0 0.52367 0.38869 0.48917 0.1012 0.41205 0.50428 0.49879 0.50206 0.45184 0.52644 0.51987 0.54665 0.39243 0.68577 0.3416 0.16703 0.48896 0.50426 0.4992
5 3.0 0.53278 0.38264 0.48442 0.12606 0.41744 0.50315 0.49457 0.50128 0.47344 0.53788 0.52563 0.56398 0.40294 0.67933 0.3404 0.16589 0.48735 0.50497 0.49805
6 4.0 0.5402 0.37639 0.47983 0.15009 0.42247 0.50046 0.48848 0.49959 0.49271 0.54826 0.5291 0.57783 0.4131 0.6731 0.33788 0.16369 0.48446 0.50435 0.49585
7 5.0 0.54606 0.36998 0.47528 0.17311 0.42714 0.4966 0.48089 0.49717 0.50998 0.55765 0.53065 0.58859 0.42275 0.66713 0.33427 0.16064 0.48058 0.50262 0.4928
8 6.0 0.55052 0.36347 0.47064 0.19497 0.43147 0.49187 0.47209 0.49419 0.52553 0.56614 0.53058 0.59663 0.43178 0.66146 0.32979 0.15697 0.47597 0.49998 0.48906
9 7.0 0.55371 0.3569 0.46586 0.21555 0.43549 0.48654 0.46237 0.49078 0.53959 0.57382 0.52918 0.60233 0.44011 0.65613 0.32463 0.15285 0.47084 0.49662 0.48478
10 8.0 0.5558 0.35031 0.46088 0.23481 0.4392 0.48083 0.45195 0.48706 0.55235 0.58077 0.5267 0.606 0.4477 0.65114 0.31895 0.14843 0.46535 0.49267 0.48008
11 9.0 0.55691 0.34373 0.45569 0.2527 0.44262 0.47491 0.44103 0.48313 0.56397 0.58707 0.52335 0.60799 0.45454 0.6465 0.3129 0.14383 0.45967 0.48828 0.47508
12 10.0 0.55719 0.33721 0.45028 0.26922 0.44577 0.46891 0.42979 0.47907 0.5746 0.59278 0.51934 0.60856 0.46063 0.64222 0.3066 0.13917 0.4539 0.48357 0.46987
13 11.0 0.55677 0.33078 0.44466 0.2844 0.44865 0.46295 0.41836 0.47497 0.58433 0.59797 0.51483 0.60798 0.46598 0.63828 0.30017 0.13451 0.44813 0.47862 0.46452
14 12.0 0.55575 0.32447 0.43884 0.29827 0.45128 0.45711 0.40686 0.47086 0.59327 0.60271 0.50996 0.6065 0.47063 0.63469 0.29368 0.12993 0.44244 0.47354 0.45911
15 13.0 0.55425 0.31829 0.43284 0.31089 0.45367 0.45146 0.39541 0.46679 0.60149 0.60704 0.50484 0.60429 0.47462 0.63142 0.28721 0.12548 0.43689 0.46838 0.4537
16 14.0 0.55237 0.31229 0.42669 0.32232 0.45584 0.44603 0.38408 0.46281 0.60906 0.61103 0.49959 0.60156 0.47799 0.62845 0.28084 0.12118 0.43151 0.46321 0.44833
17 15.0 0.55017 0.30646 0.42042 0.33263 0.4578 0.44086 0.37294 0.45894 0.61604 0.61472 0.49428 0.59843 0.48078 0.62578 0.27459 0.11707 0.42635 0.45809 0.44303
18 16.0 0.54774 0.30084 0.41405 0.34189 0.45956 0.43597 0.36205 0.45519 0.62248 0.61815 0.48899 0.59505 0.48304 0.62338 0.26852 0.11316 0.42142 0.45304 0.43786
19 17.0 0.54515 0.29542 0.40761 0.35018 0.46114 0.43138 0.35145 0.45159 0.62842 0.62135 0.48376 0.59152 0.48482 0.62123 0.26265 0.10946 0.41673 0.4481 0.43282
20 18.0 0.54244 0.29023 0.40113 0.35757 0.46254 0.42708 0.34118 0.44814 0.6339 0.62435 0.47866 0.58792 0.48616 0.61932 0.257 0.10596 0.4123 0.44331 0.42794
21 19.0 0.53966 0.28525 0.39464 0.36413 0.46379 0.42307 0.33126 0.44485 0.63896 0.62719 0.4737 0.58432 0.48711 0.61762 0.25159 0.10268 0.40814 0.43867 0.42323
22 20.0 0.53685 0.28051 0.38815 0.36994 0.46489 0.41935 0.32172 0.44173 0.64362 0.62988 0.46893 0.58079 0.48769 0.61611 0.24643 0.09961 0.40423 0.43421 0.41871
23 21.0 0.53405 0.276 0.38169 0.37505 0.46585 0.41591 0.31257 0.43876 0.64791 0.63245 0.46436 0.57736 0.48797 0.61479 0.24151 0.09674 0.40057 0.42994 0.41438
24 22.0 0.53128 0.27171 0.37528 0.37954 0.46669 0.41274 0.30381 0.43596 0.65187 0.63492 0.46 0.57406 0.48796 0.61362 0.23684 0.09407 0.39717 0.42585 0.41025
25 23.0 0.52857 0.26765 0.36893 0.38345 0.46741 0.40982 0.29544 0.43332 0.65551 0.6373 0.45586 0.57093 0.4877 0.61261 0.23242 0.09158 0.394 0.42196 0.40631
26 24.0 0.52593 0.26382 0.36267 0.38685 0.46803 0.40714 0.28748 0.43084 0.65886 0.6396 0.45195 0.56797 0.48723 0.61173 0.22824 0.08926 0.39107 0.41827 0.40258
27 25.0 0.52338 0.2602 0.35651 0.38979 0.46855 0.40468 0.2799 0.42851 0.66194 0.64183 0.44827 0.56519 0.48656 0.61097 0.22431 0.08711 0.38836 0.41478 0.39904
28 26.0 0.52093 0.25679 0.35045 0.39231 0.46898 0.40244 0.27272 0.42632 0.66476 0.64401 0.44482 0.56261 0.48574 0.61031 0.2206 0.08512 0.38586 0.41148 0.3957
29 27.0 0.51859 0.25359 0.34452 0.39446 0.46933 0.4004 0.26592 0.42428 0.66735 0.64614 0.44159 0.56022 0.48477 0.60976 0.21711 0.08327 0.38356 0.40837 0.39255
30 28.0 0.51636 0.25058 0.33872 0.39627 0.46961 0.39854 0.25948 0.42237 0.66972 0.64822 0.43858 0.55802 0.48369 0.60929 0.21383 0.08157 0.38145 0.40545 0.38958
31 29.0 0.51425 0.24776 0.33305 0.39778 0.46982 0.39685 0.25341 0.42058 0.67189 0.65027 0.43578 0.556 0.48251 0.60889 0.21076 0.07999 0.37952 0.40271 0.3868
32 30.0 0.51226 0.24513 0.32753 0.39903 0.46997 0.39531 0.24768 0.41892 0.67387 0.65228 0.43318 0.55417 0.48124 0.60857 0.20788 0.07853 0.37775 0.40015 0.38419
33 31.0 0.51038 0.24266 0.32216 0.40005 0.47007 0.39392 0.24228 0.41737 0.67568 0.65426 0.43078 0.5525 0.47992 0.60831 0.20519 0.07718 0.37613 0.39775 0.38174
34 32.0 0.50863 0.24036 0.31694 0.40085 0.47012 0.39267 0.2372 0.41593 0.67732 0.65621 0.42856 0.551 0.47854 0.6081 0.20267 0.07593 0.37466 0.39551 0.37945
35 33.0 0.50699 0.23822 0.31187 0.40148 0.47013 0.39153 0.23244 0.41459 0.67882 0.65813 0.42652 0.54966 0.47713 0.60794 0.20032 0.07478 0.37333 0.39343 0.37732
36 34.0 0.50546 0.23622 0.30696 0.40194 0.47009 0.39051 0.22796 0.41335 0.68018 0.66003 0.42465 0.54846 0.47569 0.60782 0.19812 0.07372 0.37211 0.39149 0.37533
37 35.0 0.50404 0.23436 0.30221 0.40226 0.47003 0.38959 0.22377 0.4122 0.68141 0.6619 0.42293 0.54739 0.47424 0.60773 0.19607 0.07274 0.37102 0.38969 0.37348
38 36.0 0.50273 0.23264 0.29762 0.40246 0.46993 0.38876 0.21984 0.41113 0.68253 0.66375 0.42136 0.54645 0.47278 0.60768 0.19416 0.07184 0.37002 0.38802 0.37176
39 37.0 0.50152 0.23104 0.29319 0.40255 0.46981 0.38802 0.21616 0.41015 0.68353 0.66557 0.41992 0.54562 0.47132 0.60766 0.19238 0.07101 0.36913 0.38648 0.37017
40 38.0 0.50041 0.22955 0.28892 0.40255 0.46966 0.38735 0.21273 0.40924 0.68444 0.66737 0.41861 0.5449 0.46987 0.60766 0.19072 0.07025 0.36833 0.38505 0.3687
41 39.0 0.49939 0.22817 0.2848 0.40247 0.4695 0.38675 0.20952 0.4084 0.68526 0.66914 0.41743 0.54428 0.46843 0.60768 0.18918 0.06954 0.36761 0.38374 0.36733
42 40.0 0.49846 0.2269 0.28084 0.40232 0.46932 0.38622 0.20653 0.40762 0.68599 0.67089 0.41635 0.54375 0.46702 0.60772 0.18774 0.0689 0.36696 0.38253 0.36608
43 41.0 0.49761 0.22572 0.27703 0.40212 0.46912 0.38575 0.20373 0.4069 0.68665 0.67261 0.41537 0.5433 0.46563 0.60777 0.18641 0.0683 0.36639 0.38142 0.36492
44 42.0 0.49684 0.22463 0.27337 0.40187 0.46892 0.38533 0.20113 0.40625 0.68724 0.6743 0.41449 0.54293 0.46427 0.60784 0.18518 0.06775 0.36588 0.38039 0.36385
45 43.0 0.49614 0.22362 0.26986 0.40158 0.4687 0.38495 0.19872 0.40564 0.68776 0.67597 0.41369 0.54262 0.46294 0.60791 0.18403 0.06725 0.36543 0.37946 0.36287
46 44.0 0.49551 0.22269 0.26649 0.40125 0.46847 0.38462 0.19646 0.40508 0.68823 0.67761 0.41298 0.54237 0.46164 0.608 0.18297 0.06679 0.36503 0.3786 0.36197
47 45.0 0.49494 0.22184 0.26326 0.4009 0.46824 0.38433 0.19437 0.40457 0.68864 0.67921 0.41234 0.54217 0.46039 0.60809 0.18198 0.06636 0.36467 0.37782 0.36115
48 46.0 0.49444 0.22105 0.26017 0.40053 0.46801 0.38408 0.19243 0.4041 0.689 0.68079 0.41177 0.54202 0.45917 0.60818 0.18107 0.06598 0.36436 0.37711 0.36039
49 47.0 0.49399 0.22032 0.25722 0.40015 0.46777 0.38385 0.19063 0.40367 0.68932 0.68234 0.41125 0.54192 0.45799 0.60828 0.18023 0.06562 0.3641 0.37646 0.35971
50 48.0 0.49358 0.21965 0.25439 0.39975 0.46754 0.38365 0.18896 0.40328 0.6896 0.68386 0.4108 0.54185 0.45685 0.60838 0.17945 0.06529 0.36386 0.37588 0.35908
51 49.0 0.49323 0.21904 0.25169 0.39935 0.4673 0.38348 0.18742 0.40292 0.68984 0.68535 0.4104 0.54182 0.45576 0.60849 0.17873 0.065 0.36366 0.37535 0.35851
52 50.0 0.49292 0.21848 0.24911 0.39894 0.46706 0.38334 0.18598 0.40259 0.69005 0.68681 0.41004 0.54181 0.45471 0.60859 0.17806 0.06472 0.36349 0.37487 0.358
53 51.0 0.49264 0.21796 0.24665 0.39854 0.46682 0.38321 0.18466 0.40229 0.69023 0.68823 0.40973 0.54184 0.4537 0.6087 0.17745 0.06448 0.36334 0.37444 0.35753
54 52.0 0.49241 0.21749 0.24431 0.39813 0.46659 0.3831 0.18344 0.40201 0.69039 0.68962 0.40946 0.54188 0.45273 0.6088 0.17689 0.06425 0.36322 0.37405 0.35711
55 53.0 0.4922 0.21706 0.24208 0.39773 0.46636 0.383 0.18231 0.40177 0.69052 0.69098 0.40922 0.54194 0.45181 0.60891 0.17637 0.06404 0.36312 0.3737 0.35673
56 54.0 0.49203 0.21666 0.23995 0.39734 0.46613 0.38293 0.18127 0.40154 0.69062 0.69231 0.40901 0.54202 0.45093 0.60901 0.17589 0.06385 0.36303 0.37339 0.3564
57 55.0 0.49188 0.2163 0.23793 0.39695 0.46591 0.38286 0.18031 0.40133 0.69071 0.6936 0.40883 0.54211 0.45009 0.60911 0.17545 0.06368 0.36297 0.37311 0.35609
58 56.0 0.49176 0.21597 0.236 0.39657 0.4657 0.38281 0.17943 0.40115 0.69079 0.69486 0.40868 0.54222 0.44929 0.60921 0.17504 0.06353 0.36292 0.37287 0.35582
59 57.0 0.49166 0.21567 0.23417 0.39621 0.46549 0.38276 0.17861 0.40098 0.69085 0.69608 0.40855 0.54233 0.44852 0.6093 0.17467 0.06338 0.36288 0.37265 0.35558
60 58.0 0.49158 0.2154 0.23243 0.39585 0.46528 0.38273 0.17787 0.40083 0.69089 0.69727 0.40844 0.54245 0.4478 0.6094 0.17433 0.06326 0.36285 0.37247 0.35537
61 59.0 0.49152 0.21515 0.23078 0.3955 0.46508 0.3827 0.17718 0.40069 0.69092 0.69843 0.40835 0.54258 0.44712 0.60949 0.17402 0.06314 0.36283 0.3723 0.35518
62 60.0 0.49147 0.21492 0.22922 0.39516 0.46489 0.38268 0.17655 0.40056 0.69094 0.69955 0.40828 0.54271 0.44647 0.60957 0.17374 0.06304 0.36282 0.37216 0.35501
63 61.0 0.49144 0.21472 0.22773 0.39484 0.4647 0.38267 0.17597 0.40045 0.69096 0.70064 0.40822 0.54284 0.44586 0.60966 0.17348 0.06294 0.36282 0.37203 0.35487
64 62.0 0.49142 0.21453 0.22632 0.39453 0.46452 0.38266 0.17545 0.40035 0.69096 0.7017 0.40817 0.54298 0.44528 0.60974 0.17324 0.06286 0.36283 0.37193 0.35475
65 63.0 0.49141 0.21436 0.22499 0.39423 0.46435 0.38265 0.17496 0.40026 0.69096 0.70273 0.40814 0.54311 0.44473 0.60982 0.17302 0.06278 0.36284 0.37184 0.35464
66 64.0 0.49141 0.21421 0.22373 0.39394 0.46418 0.38265 0.17452 0.40018 0.69095 0.70372 0.40811 0.54325 0.44422 0.60989 0.17282 0.06271 0.36286 0.37176 0.35455
67 65.0 0.49142 0.21407 0.22253 0.39367 0.46402 0.38266 0.17412 0.40011 0.69094 0.70468 0.4081 0.54339 0.44373 0.60996 0.17264 0.06265 0.36288 0.3717 0.35447
68 66.0 0.49144 0.21395 0.2214 0.39341 0.46387 0.38266 0.17376 0.40005 0.69092 0.70561 0.40809 0.54352 0.44328 0.61003 0.17248 0.06259 0.3629 0.37165 0.35441
69 67.0 0.49146 0.21384 0.22033 0.39316 0.46372 0.38267 0.17342 0.39999 0.6909 0.70651 0.40809 0.54365 0.44285 0.61009 0.17233 0.06255 0.36293 0.37162 0.35436
70 68.0 0.49149 0.21374 0.21932 0.39292 0.46358 0.38268 0.17312 0.39994 0.69088 0.70737 0.4081 0.54379 0.44245 0.61015 0.1722 0.0625 0.36296 0.37159 0.35432
71 69.0 0.49152 0.21365 0.21836 0.3927 0.46345 0.38269 0.17284 0.3999 0.69085 0.70821 0.40811 0.54391 0.44207 0.61021 0.17208 0.06246 0.36299 0.37157 0.35428
72 70.0 0.49156 0.21357 0.21746 0.39248 0.46332 0.38271 0.1726 0.39986 0.69082 0.70902 0.40812 0.54404 0.44172 0.61027 0.17197 0.06243 0.36303 0.37155 0.35426
73 71.0 0.49159 0.2135 0.21661 0.39228 0.4632 0.38272 0.17237 0.39983 0.69079 0.7098 0.40814 0.54416 0.44139 0.61032 0.17187 0.0624 0.36306 0.37155 0.35424
74 72.0 0.49164 0.21344 0.2158 0.39208 0.46308 0.38274 0.17217 0.3998 0.69076 0.71055 0.40816 0.54427 0.44109 0.61037 0.17178 0.06237 0.36309 0.37155 0.35423
75 73.0 0.49168 0.21338 0.21504 0.3919 0.46297 0.38275 0.17198 0.39977 0.69073 0.71127 0.40818 0.54439 0.4408 0.61042 0.1717 0.06235 0.36313 0.37155 0.35423
76 74.0 0.49173 0.21333 0.21433 0.39173 0.46287 0.38277 0.17182 0.39975 0.69069 0.71196 0.40821 0.5445 0.44054 0.61046 0.17163 0.06233 0.36316 0.37156 0.35423
77 75.0 0.49177 0.21329 0.21366 0.39157 0.46277 0.38279 0.17167 0.39973 0.69066 0.71263 0.40824 0.5446 0.44029 0.61051 0.17157 0.06231 0.3632 0.37158 0.35424
78 76.0 0.49182 0.21325 0.21302 0.39141 0.46267 0.38281 0.17154 0.39972 0.69063 0.71327 0.40826 0.5447 0.44006 0.61055 0.17151 0.0623 0.36323 0.37159 0.35425
79 77.0 0.49187 0.21322 0.21242 0.39127 0.46258 0.38282 0.17142 0.39971 0.6906 0.71389 0.40829 0.5448 0.43985 0.61058 0.17146 0.06228 0.36327 0.37161 0.35426
80 78.0 0.49191 0.21319 0.21186 0.39113 0.4625 0.38284 0.17131 0.39969 0.69056 0.71448 0.40832 0.54489 0.43965 0.61062 0.17141 0.06227 0.3633 0.37164 0.35428
81 79.0 0.49196 0.21316 0.21133 0.39101 0.46242 0.38286 0.17122 0.39969 0.69053 0.71505 0.40835 0.54498 0.43947 0.61065 0.17137 0.06227 0.36333 0.37166 0.3543
82 80.0 0.492 0.21314 0.21083 0.39089 0.46235 0.38287 0.17113 0.39968 0.6905 0.7156 0.40838 0.54507 0.4393 0.61068 0.17134 0.06226 0.36336 0.37169 0.35432
83 81.0 0.49205 0.21312 0.21037 0.39077 0.46228 0.38289 0.17106 0.39967 0.69047 0.71612 0.40841 0.54515 0.43914 0.61071 0.17131 0.06225 0.3634 0.37171 0.35434
84 82.0 0.49209 0.21311 0.20993 0.39067 0.46221 0.38291 0.17099 0.39967 0.69044 0.71662 0.40844 0.54523 0.439 0.61074 0.17128 0.06225 0.36343 0.37174 0.35436
85 83.0 0.49214 0.21309 0.20951 0.39057 0.46215 0.38292 0.17093 0.39967 0.69041 0.7171 0.40847 0.5453 0.43887 0.61076 0.17126 0.06224 0.36346 0.37177 0.35439
86 84.0 0.49218 0.21308 0.20912 0.39048 0.46209 0.38294 0.17088 0.39967 0.69038 0.71756 0.4085 0.54537 0.43874 0.61079 0.17124 0.06224 0.36348 0.3718 0.35441
87 85.0 0.49222 0.21307 0.20876 0.39039 0.46203 0.38295 0.17084 0.39967 0.69035 0.718 0.40853 0.54543 0.43863 0.61081 0.17122 0.06224 0.36351 0.37183 0.35444
88 86.0 0.49226 0.21307 0.20842 0.39031 0.46198 0.38296 0.1708 0.39967 0.69033 0.71842 0.40856 0.5455 0.43853 0.61083 0.1712 0.06224 0.36354 0.37186 0.35447
89 87.0 0.4923 0.21306 0.2081 0.39023 0.46194 0.38298 0.17077 0.39967 0.6903 0.71882 0.40858 0.54555 0.43843 0.61085 0.17119 0.06224 0.36356 0.37189 0.35449
90 88.0 0.49234 0.21306 0.20779 0.39016 0.46189 0.38299 0.17074 0.39967 0.69028 0.7192 0.40861 0.54561 0.43835 0.61087 0.17118 0.06224 0.36359 0.37192 0.35452
91 89.0 0.49237 0.21306 0.20751 0.3901 0.46185 0.383 0.17072 0.39967 0.69025 0.71957 0.40864 0.54566 0.43827 0.61089 0.17117 0.06224 0.36361 0.37195 0.35455
92 90.0 0.49241 0.21305 0.20725 0.39004 0.46181 0.38302 0.1707 0.39967 0.69023 0.71992 0.40866 0.54571 0.4382 0.6109 0.17117 0.06224 0.36363 0.37197 0.35457
93 91.0 0.49244 0.21305 0.207 0.38998 0.46177 0.38303 0.17069 0.39968 0.69021 0.72025 0.40868 0.54576 0.43813 0.61092 0.17116 0.06224 0.36365 0.372 0.3546
94 92.0 0.49247 0.21305 0.20677 0.38993 0.46174 0.38304 0.17067 0.39968 0.69019 0.72057 0.40871 0.5458 0.43808 0.61093 0.17116 0.06225 0.36367 0.37203 0.35463
95 93.0 0.4925 0.21306 0.20655 0.38988 0.46171 0.38305 0.17066 0.39968 0.69017 0.72088 0.40873 0.54584 0.43802 0.61094 0.17115 0.06225 0.36369 0.37206 0.35465
96 94.0 0.49253 0.21306 0.20634 0.38984 0.46168 0.38306 0.17065 0.39969 0.69015 0.72117 0.40875 0.54588 0.43797 0.61095 0.17115 0.06225 0.36371 0.37208 0.35468
97 95.0 0.49256 0.21306 0.20615 0.38979 0.46165 0.38307 0.17065 0.39969 0.69014 0.72144 0.40877 0.54592 0.43793 0.61097 0.17115 0.06225 0.36373 0.37211 0.3547
98 96.0 0.49259 0.21306 0.20597 0.38976 0.46163 0.38308 0.17064 0.3997 0.69012 0.7217 0.40879 0.54595 0.43789 0.61098 0.17115 0.06225 0.36374 0.37213 0.35473
99 97.0 0.49261 0.21307 0.20581 0.38972 0.46161 0.38309 0.17064 0.3997 0.6901 0.72195 0.4088 0.54599 0.43786 0.61098 0.17115 0.06226 0.36376 0.37216 0.35475
100 98.0 0.49263 0.21307 0.20565 0.38969 0.46159 0.38309 0.17064 0.3997 0.69009 0.72219 0.40882 0.54601 0.43783 0.61099 0.17115 0.06226 0.36377 0.37218 0.35477
101 99.0 0.49266 0.21307 0.2055 0.38966 0.46157 0.3831 0.17064 0.39971 0.69007 0.72242 0.40884 0.54604 0.4378 0.611 0.17115 0.06226 0.36379 0.3722 0.35479
102 100.0 0.49268 0.21308 0.20537 0.38963 0.46155 0.38311 0.17064 0.39971 0.69006 0.72263 0.40885 0.54607 0.43777 0.61101 0.17116 0.06227 0.3638 0.37223 0.35482

View file

@ -0,0 +1,102 @@
t,H,X,Kp,Ko,F,G,N,Q,P,E,S,A,Ystar,B,V,Vsel,sigma,VFAC,VFAC01
0.0,0.5,0.4,0.5,0.05,0.4,0.5,0.5,0.5,0.4,0.5,0.5,0.5,0.37123,0.59293,0.33894,0.16278,0.48027,0.49774,0.49746
1.0,0.51014,0.39403,0.49267,0.11048,0.40436,0.49916,0.50111,0.50187,0.40278,0.51445,0.50817,0.52783,0.39357,0.56017,0.35263,0.16917,0.47973,0.5035,0.50053
2.0,0.51742,0.3877,0.48606,0.16708,0.40827,0.49565,0.50061,0.50256,0.40986,0.52735,0.51379,0.55055,0.41533,0.52952,0.3618,0.1726,0.47708,0.50671,0.50148
3.0,0.52218,0.38092,0.47982,0.21913,0.41174,0.48984,0.49817,0.50214,0.42036,0.53883,0.51686,0.56874,0.43588,0.50134,0.36665,0.17335,0.47278,0.50762,0.50045
4.0,0.52476,0.37369,0.47367,0.26623,0.41478,0.48213,0.49365,0.50071,0.43341,0.54902,0.5175,0.58297,0.4548,0.47583,0.3676,0.17176,0.46725,0.50648,0.49765
5.0,0.5255,0.36601,0.46742,0.30831,0.41739,0.47293,0.48705,0.49838,0.44821,0.55806,0.51592,0.59381,0.47184,0.45305,0.36518,0.16829,0.46083,0.50359,0.49332
6.0,0.52471,0.35795,0.46091,0.34545,0.41962,0.46262,0.47852,0.49528,0.46411,0.56608,0.51238,0.60178,0.4869,0.43294,0.35999,0.16337,0.45382,0.49923,0.48771
7.0,0.5227,0.34958,0.45408,0.37792,0.42148,0.45155,0.46827,0.49157,0.48053,0.57322,0.50717,0.60736,0.49999,0.41536,0.35264,0.15743,0.44645,0.49369,0.48106
8.0,0.51971,0.34099,0.44689,0.40607,0.42302,0.44005,0.45655,0.48737,0.49703,0.57959,0.50058,0.61097,0.51121,0.40012,0.34369,0.15085,0.43892,0.48722,0.47363
9.0,0.51599,0.33227,0.43935,0.43028,0.42426,0.42837,0.44366,0.48282,0.5133,0.58532,0.4929,0.613,0.52069,0.387,0.33366,0.14393,0.43138,0.48006,0.46561
10.0,0.51171,0.32353,0.43147,0.45098,0.42525,0.41676,0.42987,0.47802,0.52909,0.59049,0.48441,0.61377,0.52858,0.37579,0.32297,0.13692,0.42394,0.47242,0.45722
11.0,0.50704,0.31485,0.4233,0.46857,0.42602,0.40538,0.41546,0.47308,0.54423,0.59519,0.47534,0.61355,0.53504,0.36627,0.31197,0.13,0.4167,0.46448,0.4486
12.0,0.50211,0.3063,0.41488,0.48342,0.4266,0.39439,0.40066,0.46809,0.55862,0.59949,0.46592,0.61259,0.54024,0.35823,0.30095,0.1233,0.40972,0.45639,0.4399
13.0,0.49703,0.29795,0.40627,0.4959,0.42701,0.38388,0.38568,0.4631,0.57221,0.60347,0.45632,0.61107,0.54432,0.35147,0.29011,0.11692,0.40304,0.44827,0.43124
14.0,0.4919,0.28987,0.39751,0.50631,0.42729,0.37393,0.37073,0.45819,0.58497,0.60717,0.4467,0.60916,0.54744,0.34583,0.2796,0.11091,0.39669,0.44023,0.42271
15.0,0.48678,0.28209,0.38867,0.51494,0.42747,0.36458,0.35594,0.4534,0.59689,0.61064,0.4372,0.60699,0.54972,0.34116,0.26953,0.10531,0.3907,0.43234,0.41439
16.0,0.48173,0.27464,0.37978,0.52205,0.42755,0.35587,0.34144,0.44875,0.60799,0.61392,0.4279,0.60466,0.55127,0.33731,0.25996,0.10011,0.38507,0.42467,0.40632
17.0,0.47679,0.26756,0.37089,0.52785,0.42755,0.34779,0.32734,0.44428,0.6183,0.61705,0.4189,0.60226,0.5522,0.33417,0.25095,0.09531,0.37981,0.41726,0.39855
18.0,0.47199,0.26085,0.36205,0.53254,0.4275,0.34034,0.31372,0.44001,0.62785,0.62004,0.41025,0.59985,0.5526,0.33163,0.2425,0.09091,0.3749,0.41015,0.39111
19.0,0.46737,0.25452,0.35327,0.53628,0.4274,0.33351,0.30062,0.43594,0.63667,0.62292,0.40199,0.59748,0.55256,0.3296,0.23461,0.08688,0.37034,0.40336,0.38403
20.0,0.46294,0.24857,0.34461,0.53922,0.42726,0.32726,0.28811,0.43208,0.64481,0.62571,0.39417,0.59519,0.55214,0.32801,0.22727,0.08321,0.36612,0.3969,0.3773
21.0,0.45871,0.243,0.33607,0.54148,0.42709,0.32158,0.27619,0.42844,0.65231,0.62842,0.38678,0.593,0.5514,0.32679,0.22048,0.07986,0.36222,0.39079,0.37094
22.0,0.45469,0.23781,0.32769,0.54318,0.4269,0.31643,0.26488,0.42502,0.6592,0.63106,0.37985,0.59093,0.55041,0.32587,0.21419,0.07681,0.35862,0.38502,0.36495
23.0,0.45089,0.23297,0.31948,0.54439,0.4267,0.31177,0.2542,0.4218,0.66553,0.63364,0.37337,0.58901,0.54921,0.32521,0.20838,0.07404,0.35532,0.3796,0.35932
24.0,0.44731,0.22847,0.31145,0.54521,0.42648,0.30756,0.24413,0.41879,0.67133,0.63617,0.36734,0.58723,0.54784,0.32477,0.20304,0.07153,0.3523,0.37451,0.35404
25.0,0.44394,0.22431,0.30363,0.5457,0.42626,0.30379,0.23467,0.41598,0.67665,0.63866,0.36174,0.58559,0.54634,0.3245,0.19811,0.06925,0.34953,0.36975,0.3491
26.0,0.44079,0.22046,0.29602,0.54592,0.42603,0.3004,0.2258,0.41336,0.68151,0.6411,0.35656,0.5841,0.54473,0.32439,0.19359,0.06717,0.347,0.36531,0.34449
27.0,0.43784,0.2169,0.28863,0.54591,0.4258,0.29736,0.2175,0.41092,0.68595,0.6435,0.35179,0.58275,0.54306,0.32439,0.18943,0.06529,0.34469,0.36117,0.3402
28.0,0.4351,0.21363,0.28146,0.54573,0.42557,0.29465,0.20975,0.40866,0.69,0.64586,0.34739,0.58154,0.54133,0.32449,0.18561,0.06359,0.34259,0.35732,0.33622
29.0,0.43255,0.21061,0.27452,0.5454,0.42534,0.29224,0.20253,0.40657,0.69369,0.64818,0.34337,0.58047,0.53957,0.32467,0.18211,0.06204,0.34069,0.35375,0.33252
30.0,0.43019,0.20784,0.2678,0.54496,0.42512,0.29009,0.19581,0.40463,0.69705,0.65047,0.33969,0.57952,0.5378,0.3249,0.17889,0.06064,0.33896,0.35044,0.32909
31.0,0.42801,0.2053,0.26132,0.54443,0.4249,0.28819,0.18957,0.40284,0.7001,0.65272,0.33632,0.57868,0.53603,0.32519,0.17595,0.05936,0.3374,0.34739,0.32592
32.0,0.426,0.20297,0.25507,0.54383,0.42468,0.2865,0.18378,0.40118,0.70287,0.65493,0.33326,0.57795,0.53427,0.32551,0.17325,0.05821,0.33598,0.34456,0.32299
33.0,0.42415,0.20084,0.24904,0.54319,0.42446,0.285,0.17842,0.39966,0.70538,0.65711,0.33048,0.57733,0.53254,0.32586,0.17078,0.05716,0.33471,0.34196,0.32029
34.0,0.42246,0.19888,0.24324,0.54252,0.42425,0.28368,0.17346,0.39826,0.70765,0.65924,0.32796,0.5768,0.53084,0.32623,0.16852,0.05621,0.33356,0.33957,0.31781
35.0,0.4209,0.1971,0.23766,0.54182,0.42405,0.28252,0.16887,0.39697,0.7097,0.66134,0.32567,0.57635,0.52918,0.3266,0.16645,0.05535,0.33253,0.33737,0.31552
36.0,0.41949,0.19547,0.23231,0.54112,0.42385,0.2815,0.16463,0.39578,0.71156,0.6634,0.32361,0.57598,0.52757,0.32698,0.16455,0.05457,0.3316,0.33535,0.31343
37.0,0.4182,0.19398,0.22716,0.54042,0.42366,0.2806,0.16073,0.39469,0.71323,0.66543,0.32175,0.57567,0.526,0.32736,0.16282,0.05386,0.33077,0.3335,0.31151
38.0,0.41702,0.19263,0.22223,0.53972,0.42347,0.27981,0.15713,0.3937,0.71473,0.66741,0.32008,0.57543,0.52449,0.32774,0.16124,0.05321,0.33003,0.33181,0.30975
39.0,0.41596,0.19139,0.2175,0.53903,0.42329,0.27912,0.15381,0.39279,0.71608,0.66935,0.31858,0.57525,0.52303,0.32811,0.1598,0.05263,0.32936,0.33027,0.30814
40.0,0.415,0.19027,0.21297,0.53837,0.42311,0.27852,0.15076,0.39195,0.71729,0.67124,0.31723,0.57512,0.52163,0.32847,0.15848,0.0521,0.32877,0.32887,0.30667
41.0,0.41413,0.18925,0.20864,0.53772,0.42294,0.278,0.14796,0.39119,0.71837,0.6731,0.31603,0.57502,0.52029,0.32883,0.15728,0.05162,0.32824,0.32759,0.30534
42.0,0.41335,0.18832,0.2045,0.53709,0.42278,0.27754,0.14539,0.3905,0.71934,0.67491,0.31495,0.57497,0.51901,0.32916,0.15618,0.05119,0.32778,0.32642,0.30412
43.0,0.41265,0.18747,0.20054,0.53649,0.42262,0.27715,0.14303,0.38986,0.7202,0.67668,0.31399,0.57495,0.51778,0.32949,0.15518,0.0508,0.32736,0.32537,0.30302
44.0,0.41203,0.18671,0.19675,0.53592,0.42247,0.27681,0.14087,0.38929,0.72097,0.6784,0.31314,0.57496,0.51662,0.3298,0.15427,0.05045,0.327,0.32441,0.30202
45.0,0.41147,0.18601,0.19314,0.53537,0.42232,0.27652,0.13889,0.38876,0.72165,0.68008,0.31239,0.575,0.51551,0.33009,0.15344,0.05013,0.32667,0.32355,0.30111
46.0,0.41097,0.18538,0.18969,0.53486,0.42218,0.27627,0.13708,0.38828,0.72225,0.68172,0.31172,0.57505,0.51446,0.33038,0.15269,0.04984,0.32639,0.32277,0.30029
47.0,0.41053,0.18481,0.18641,0.53436,0.42204,0.27605,0.13542,0.38785,0.72278,0.68331,0.31113,0.57513,0.51347,0.33064,0.152,0.04957,0.32614,0.32207,0.29955
48.0,0.41014,0.18429,0.18328,0.5339,0.42191,0.27587,0.13391,0.38746,0.72325,0.68486,0.31061,0.57522,0.51253,0.33089,0.15138,0.04934,0.32592,0.32144,0.29889
49.0,0.4098,0.18383,0.18029,0.53346,0.42178,0.27571,0.13253,0.3871,0.72367,0.68636,0.31016,0.57532,0.51164,0.33113,0.15082,0.04913,0.32573,0.32088,0.29829
50.0,0.4095,0.18341,0.17745,0.53305,0.42166,0.27558,0.13127,0.38678,0.72403,0.68782,0.30976,0.57543,0.51081,0.33135,0.15031,0.04894,0.32557,0.32037,0.29776
51.0,0.40924,0.18302,0.17475,0.53267,0.42155,0.27547,0.13012,0.38649,0.72435,0.68924,0.30941,0.57555,0.51002,0.33156,0.14985,0.04876,0.32543,0.31992,0.29728
52.0,0.40901,0.18268,0.17217,0.53231,0.42143,0.27538,0.12907,0.38623,0.72462,0.69061,0.3091,0.57567,0.50928,0.33175,0.14943,0.04861,0.3253,0.31952,0.29685
53.0,0.40881,0.18237,0.16972,0.53197,0.42133,0.2753,0.12812,0.38599,0.72486,0.69194,0.30884,0.5758,0.50859,0.33194,0.14905,0.04847,0.3252,0.31916,0.29647
54.0,0.40864,0.18209,0.1674,0.53166,0.42122,0.27524,0.12726,0.38577,0.72507,0.69322,0.30861,0.57593,0.50794,0.33211,0.14871,0.04835,0.32511,0.31885,0.29613
55.0,0.4085,0.18184,0.16519,0.53137,0.42113,0.27519,0.12647,0.38558,0.72525,0.69447,0.30842,0.57606,0.50733,0.33226,0.1484,0.04823,0.32503,0.31857,0.29583
56.0,0.40838,0.18161,0.16309,0.5311,0.42103,0.27515,0.12576,0.38541,0.7254,0.69567,0.30825,0.57619,0.50676,0.33241,0.14812,0.04813,0.32497,0.31832,0.29557
57.0,0.40827,0.18141,0.16109,0.53085,0.42095,0.27512,0.12511,0.38525,0.72553,0.69683,0.30811,0.57632,0.50622,0.33255,0.14787,0.04805,0.32492,0.31811,0.29533
58.0,0.40819,0.18123,0.1592,0.53061,0.42086,0.2751,0.12452,0.38511,0.72564,0.69796,0.30799,0.57644,0.50572,0.33267,0.14765,0.04797,0.32487,0.31792,0.29513
59.0,0.40812,0.18106,0.1574,0.5304,0.42078,0.27508,0.12399,0.38499,0.72573,0.69904,0.30789,0.57657,0.50526,0.33279,0.14744,0.04789,0.32484,0.31776,0.29495
60.0,0.40806,0.18092,0.1557,0.5302,0.4207,0.27507,0.12352,0.38487,0.72581,0.70008,0.30781,0.57669,0.50483,0.3329,0.14726,0.04783,0.32481,0.31762,0.2948
61.0,0.40802,0.18078,0.15408,0.53002,0.42063,0.27506,0.12308,0.38477,0.72587,0.70109,0.30774,0.57681,0.50443,0.33299,0.1471,0.04778,0.32478,0.31749,0.29466
62.0,0.40799,0.18067,0.15255,0.52985,0.42056,0.27506,0.12269,0.38469,0.72592,0.70206,0.30768,0.57693,0.50405,0.33309,0.14695,0.04773,0.32477,0.31739,0.29455
63.0,0.40796,0.18056,0.1511,0.5297,0.42049,0.27506,0.12234,0.38461,0.72596,0.703,0.30764,0.57704,0.5037,0.33317,0.14682,0.04768,0.32475,0.3173,0.29445
64.0,0.40795,0.18047,0.14972,0.52955,0.42043,0.27506,0.12202,0.38454,0.72599,0.70389,0.3076,0.57715,0.50338,0.33325,0.14671,0.04764,0.32475,0.31723,0.29436
65.0,0.40794,0.18039,0.14842,0.52942,0.42037,0.27506,0.12174,0.38447,0.72602,0.70476,0.30758,0.57725,0.50308,0.33332,0.1466,0.04761,0.32474,0.31717,0.29429
66.0,0.40793,0.18031,0.14718,0.5293,0.42031,0.27507,0.12148,0.38442,0.72603,0.70559,0.30756,0.57735,0.50281,0.33338,0.14651,0.04758,0.32474,0.31712,0.29423
67.0,0.40793,0.18025,0.14601,0.52919,0.42026,0.27508,0.12125,0.38437,0.72604,0.70639,0.30755,0.57744,0.50255,0.33344,0.14643,0.04755,0.32474,0.31708,0.29419
68.0,0.40794,0.18019,0.14491,0.52909,0.42021,0.27508,0.12104,0.38432,0.72605,0.70716,0.30754,0.57753,0.50231,0.3335,0.14636,0.04753,0.32474,0.31704,0.29415
69.0,0.40795,0.18014,0.14386,0.529,0.42016,0.27509,0.12086,0.38429,0.72605,0.70789,0.30754,0.57762,0.50209,0.33355,0.14629,0.04751,0.32474,0.31702,0.29412
70.0,0.40796,0.18009,0.14287,0.52892,0.42012,0.2751,0.12069,0.38425,0.72605,0.7086,0.30754,0.5777,0.50189,0.33359,0.14624,0.04749,0.32475,0.317,0.29409
71.0,0.40797,0.18005,0.14193,0.52884,0.42008,0.27511,0.12055,0.38422,0.72605,0.70928,0.30754,0.57778,0.5017,0.33363,0.14619,0.04747,0.32475,0.31699,0.29407
72.0,0.40799,0.18001,0.14104,0.52877,0.42004,0.27512,0.12042,0.3842,0.72604,0.70993,0.30754,0.57785,0.50153,0.33367,0.14614,0.04746,0.32476,0.31698,0.29406
73.0,0.408,0.17998,0.14021,0.52871,0.42,0.27513,0.1203,0.38417,0.72603,0.71055,0.30755,0.57792,0.50137,0.3337,0.1461,0.04745,0.32477,0.31698,0.29405
74.0,0.40802,0.17995,0.13941,0.52866,0.41996,0.27514,0.12019,0.38415,0.72602,0.71115,0.30756,0.57798,0.50123,0.33373,0.14607,0.04744,0.32478,0.31698,0.29405
75.0,0.40804,0.17993,0.13866,0.5286,0.41993,0.27515,0.1201,0.38414,0.72601,0.71172,0.30757,0.57804,0.50109,0.33376,0.14604,0.04743,0.32478,0.31699,0.29405
76.0,0.40806,0.17991,0.13795,0.52856,0.4199,0.27515,0.12002,0.38412,0.726,0.71226,0.30758,0.5781,0.50097,0.33379,0.14601,0.04742,0.32479,0.31699,0.29406
77.0,0.40808,0.17989,0.13728,0.52852,0.41987,0.27516,0.11995,0.38411,0.72599,0.71279,0.3076,0.57815,0.50085,0.33381,0.14599,0.04742,0.3248,0.317,0.29406
78.0,0.4081,0.17988,0.13665,0.52848,0.41984,0.27517,0.11988,0.3841,0.72598,0.71329,0.30761,0.5782,0.50075,0.33383,0.14597,0.04741,0.32481,0.31701,0.29407
79.0,0.40812,0.17986,0.13605,0.52844,0.41981,0.27518,0.11983,0.38409,0.72596,0.71377,0.30762,0.57825,0.50066,0.33385,0.14596,0.04741,0.32482,0.31702,0.29408
80.0,0.40814,0.17985,0.13548,0.52841,0.41979,0.27518,0.11978,0.38408,0.72595,0.71422,0.30764,0.57829,0.50057,0.33386,0.14594,0.04741,0.32483,0.31704,0.29409
81.0,0.40815,0.17984,0.13495,0.52838,0.41977,0.27519,0.11973,0.38407,0.72594,0.71466,0.30765,0.57833,0.50049,0.33388,0.14593,0.0474,0.32483,0.31705,0.2941
82.0,0.40817,0.17983,0.13445,0.52836,0.41974,0.2752,0.1197,0.38407,0.72592,0.71508,0.30766,0.57837,0.50041,0.33389,0.14592,0.0474,0.32484,0.31707,0.29412
83.0,0.40819,0.17982,0.13397,0.52834,0.41972,0.2752,0.11966,0.38406,0.72591,0.71548,0.30767,0.57841,0.50035,0.33391,0.14591,0.0474,0.32485,0.31708,0.29413
84.0,0.40821,0.17982,0.13352,0.52832,0.4197,0.27521,0.11963,0.38406,0.7259,0.71586,0.30769,0.57844,0.50029,0.33392,0.1459,0.0474,0.32486,0.3171,0.29414
85.0,0.40822,0.17981,0.13309,0.5283,0.41969,0.27522,0.11961,0.38406,0.72589,0.71622,0.3077,0.57847,0.50023,0.33393,0.1459,0.0474,0.32486,0.31711,0.29416
86.0,0.40824,0.17981,0.13269,0.52828,0.41967,0.27522,0.11959,0.38406,0.72588,0.71657,0.30771,0.5785,0.50018,0.33393,0.14589,0.0474,0.32487,0.31713,0.29417
87.0,0.40825,0.1798,0.13231,0.52827,0.41966,0.27522,0.11957,0.38405,0.72587,0.7169,0.30772,0.57852,0.50013,0.33394,0.14589,0.0474,0.32488,0.31715,0.29419
88.0,0.40827,0.1798,0.13196,0.52826,0.41964,0.27523,0.11955,0.38405,0.72586,0.71722,0.30773,0.57855,0.50009,0.33395,0.14588,0.0474,0.32488,0.31716,0.2942
89.0,0.40828,0.1798,0.13162,0.52824,0.41963,0.27523,0.11954,0.38405,0.72585,0.71752,0.30774,0.57857,0.50005,0.33396,0.14588,0.0474,0.32489,0.31718,0.29422
90.0,0.4083,0.1798,0.1313,0.52823,0.41962,0.27524,0.11953,0.38405,0.72584,0.71781,0.30775,0.57859,0.50002,0.33396,0.14588,0.0474,0.32489,0.31719,0.29423
91.0,0.40831,0.1798,0.131,0.52823,0.4196,0.27524,0.11952,0.38405,0.72583,0.71808,0.30776,0.57861,0.49999,0.33397,0.14588,0.0474,0.3249,0.31721,0.29425
92.0,0.40832,0.17979,0.13071,0.52822,0.41959,0.27524,0.11951,0.38405,0.72582,0.71834,0.30777,0.57863,0.49996,0.33397,0.14588,0.0474,0.3249,0.31722,0.29426
93.0,0.40833,0.17979,0.13045,0.52821,0.41958,0.27525,0.1195,0.38405,0.72581,0.71859,0.30777,0.57864,0.49993,0.33397,0.14588,0.0474,0.32491,0.31724,0.29428
94.0,0.40834,0.17979,0.13019,0.5282,0.41957,0.27525,0.1195,0.38405,0.7258,0.71883,0.30778,0.57866,0.49991,0.33398,0.14588,0.0474,0.32491,0.31725,0.29429
95.0,0.40835,0.17979,0.12995,0.5282,0.41956,0.27525,0.11949,0.38405,0.7258,0.71905,0.30779,0.57867,0.49989,0.33398,0.14588,0.0474,0.32492,0.31726,0.2943
96.0,0.40836,0.17979,0.12973,0.52819,0.41956,0.27525,0.11949,0.38405,0.72579,0.71927,0.3078,0.57868,0.49987,0.33398,0.14588,0.0474,0.32492,0.31728,0.29431
97.0,0.40837,0.17979,0.12951,0.52819,0.41955,0.27525,0.11949,0.38405,0.72578,0.71947,0.3078,0.57869,0.49985,0.33398,0.14588,0.0474,0.32492,0.31729,0.29433
98.0,0.40838,0.17979,0.12931,0.52819,0.41954,0.27526,0.11948,0.38405,0.72578,0.71966,0.30781,0.5787,0.49984,0.33399,0.14588,0.0474,0.32493,0.3173,0.29434
99.0,0.40838,0.17979,0.12912,0.52818,0.41954,0.27526,0.11948,0.38405,0.72577,0.71985,0.30781,0.57871,0.49982,0.33399,0.14588,0.0474,0.32493,0.31731,0.29435
100.0,0.40839,0.17979,0.12895,0.52818,0.41953,0.27526,0.11948,0.38405,0.72577,0.72003,0.30782,0.57872,0.49981,0.33399,0.14588,0.0474,0.32493,0.31732,0.29436
1 t H X Kp Ko F G N Q P E S A Ystar B V Vsel sigma VFAC VFAC01
2 0.0 0.5 0.4 0.5 0.05 0.4 0.5 0.5 0.5 0.4 0.5 0.5 0.5 0.37123 0.59293 0.33894 0.16278 0.48027 0.49774 0.49746
3 1.0 0.51014 0.39403 0.49267 0.11048 0.40436 0.49916 0.50111 0.50187 0.40278 0.51445 0.50817 0.52783 0.39357 0.56017 0.35263 0.16917 0.47973 0.5035 0.50053
4 2.0 0.51742 0.3877 0.48606 0.16708 0.40827 0.49565 0.50061 0.50256 0.40986 0.52735 0.51379 0.55055 0.41533 0.52952 0.3618 0.1726 0.47708 0.50671 0.50148
5 3.0 0.52218 0.38092 0.47982 0.21913 0.41174 0.48984 0.49817 0.50214 0.42036 0.53883 0.51686 0.56874 0.43588 0.50134 0.36665 0.17335 0.47278 0.50762 0.50045
6 4.0 0.52476 0.37369 0.47367 0.26623 0.41478 0.48213 0.49365 0.50071 0.43341 0.54902 0.5175 0.58297 0.4548 0.47583 0.3676 0.17176 0.46725 0.50648 0.49765
7 5.0 0.5255 0.36601 0.46742 0.30831 0.41739 0.47293 0.48705 0.49838 0.44821 0.55806 0.51592 0.59381 0.47184 0.45305 0.36518 0.16829 0.46083 0.50359 0.49332
8 6.0 0.52471 0.35795 0.46091 0.34545 0.41962 0.46262 0.47852 0.49528 0.46411 0.56608 0.51238 0.60178 0.4869 0.43294 0.35999 0.16337 0.45382 0.49923 0.48771
9 7.0 0.5227 0.34958 0.45408 0.37792 0.42148 0.45155 0.46827 0.49157 0.48053 0.57322 0.50717 0.60736 0.49999 0.41536 0.35264 0.15743 0.44645 0.49369 0.48106
10 8.0 0.51971 0.34099 0.44689 0.40607 0.42302 0.44005 0.45655 0.48737 0.49703 0.57959 0.50058 0.61097 0.51121 0.40012 0.34369 0.15085 0.43892 0.48722 0.47363
11 9.0 0.51599 0.33227 0.43935 0.43028 0.42426 0.42837 0.44366 0.48282 0.5133 0.58532 0.4929 0.613 0.52069 0.387 0.33366 0.14393 0.43138 0.48006 0.46561
12 10.0 0.51171 0.32353 0.43147 0.45098 0.42525 0.41676 0.42987 0.47802 0.52909 0.59049 0.48441 0.61377 0.52858 0.37579 0.32297 0.13692 0.42394 0.47242 0.45722
13 11.0 0.50704 0.31485 0.4233 0.46857 0.42602 0.40538 0.41546 0.47308 0.54423 0.59519 0.47534 0.61355 0.53504 0.36627 0.31197 0.13 0.4167 0.46448 0.4486
14 12.0 0.50211 0.3063 0.41488 0.48342 0.4266 0.39439 0.40066 0.46809 0.55862 0.59949 0.46592 0.61259 0.54024 0.35823 0.30095 0.1233 0.40972 0.45639 0.4399
15 13.0 0.49703 0.29795 0.40627 0.4959 0.42701 0.38388 0.38568 0.4631 0.57221 0.60347 0.45632 0.61107 0.54432 0.35147 0.29011 0.11692 0.40304 0.44827 0.43124
16 14.0 0.4919 0.28987 0.39751 0.50631 0.42729 0.37393 0.37073 0.45819 0.58497 0.60717 0.4467 0.60916 0.54744 0.34583 0.2796 0.11091 0.39669 0.44023 0.42271
17 15.0 0.48678 0.28209 0.38867 0.51494 0.42747 0.36458 0.35594 0.4534 0.59689 0.61064 0.4372 0.60699 0.54972 0.34116 0.26953 0.10531 0.3907 0.43234 0.41439
18 16.0 0.48173 0.27464 0.37978 0.52205 0.42755 0.35587 0.34144 0.44875 0.60799 0.61392 0.4279 0.60466 0.55127 0.33731 0.25996 0.10011 0.38507 0.42467 0.40632
19 17.0 0.47679 0.26756 0.37089 0.52785 0.42755 0.34779 0.32734 0.44428 0.6183 0.61705 0.4189 0.60226 0.5522 0.33417 0.25095 0.09531 0.37981 0.41726 0.39855
20 18.0 0.47199 0.26085 0.36205 0.53254 0.4275 0.34034 0.31372 0.44001 0.62785 0.62004 0.41025 0.59985 0.5526 0.33163 0.2425 0.09091 0.3749 0.41015 0.39111
21 19.0 0.46737 0.25452 0.35327 0.53628 0.4274 0.33351 0.30062 0.43594 0.63667 0.62292 0.40199 0.59748 0.55256 0.3296 0.23461 0.08688 0.37034 0.40336 0.38403
22 20.0 0.46294 0.24857 0.34461 0.53922 0.42726 0.32726 0.28811 0.43208 0.64481 0.62571 0.39417 0.59519 0.55214 0.32801 0.22727 0.08321 0.36612 0.3969 0.3773
23 21.0 0.45871 0.243 0.33607 0.54148 0.42709 0.32158 0.27619 0.42844 0.65231 0.62842 0.38678 0.593 0.5514 0.32679 0.22048 0.07986 0.36222 0.39079 0.37094
24 22.0 0.45469 0.23781 0.32769 0.54318 0.4269 0.31643 0.26488 0.42502 0.6592 0.63106 0.37985 0.59093 0.55041 0.32587 0.21419 0.07681 0.35862 0.38502 0.36495
25 23.0 0.45089 0.23297 0.31948 0.54439 0.4267 0.31177 0.2542 0.4218 0.66553 0.63364 0.37337 0.58901 0.54921 0.32521 0.20838 0.07404 0.35532 0.3796 0.35932
26 24.0 0.44731 0.22847 0.31145 0.54521 0.42648 0.30756 0.24413 0.41879 0.67133 0.63617 0.36734 0.58723 0.54784 0.32477 0.20304 0.07153 0.3523 0.37451 0.35404
27 25.0 0.44394 0.22431 0.30363 0.5457 0.42626 0.30379 0.23467 0.41598 0.67665 0.63866 0.36174 0.58559 0.54634 0.3245 0.19811 0.06925 0.34953 0.36975 0.3491
28 26.0 0.44079 0.22046 0.29602 0.54592 0.42603 0.3004 0.2258 0.41336 0.68151 0.6411 0.35656 0.5841 0.54473 0.32439 0.19359 0.06717 0.347 0.36531 0.34449
29 27.0 0.43784 0.2169 0.28863 0.54591 0.4258 0.29736 0.2175 0.41092 0.68595 0.6435 0.35179 0.58275 0.54306 0.32439 0.18943 0.06529 0.34469 0.36117 0.3402
30 28.0 0.4351 0.21363 0.28146 0.54573 0.42557 0.29465 0.20975 0.40866 0.69 0.64586 0.34739 0.58154 0.54133 0.32449 0.18561 0.06359 0.34259 0.35732 0.33622
31 29.0 0.43255 0.21061 0.27452 0.5454 0.42534 0.29224 0.20253 0.40657 0.69369 0.64818 0.34337 0.58047 0.53957 0.32467 0.18211 0.06204 0.34069 0.35375 0.33252
32 30.0 0.43019 0.20784 0.2678 0.54496 0.42512 0.29009 0.19581 0.40463 0.69705 0.65047 0.33969 0.57952 0.5378 0.3249 0.17889 0.06064 0.33896 0.35044 0.32909
33 31.0 0.42801 0.2053 0.26132 0.54443 0.4249 0.28819 0.18957 0.40284 0.7001 0.65272 0.33632 0.57868 0.53603 0.32519 0.17595 0.05936 0.3374 0.34739 0.32592
34 32.0 0.426 0.20297 0.25507 0.54383 0.42468 0.2865 0.18378 0.40118 0.70287 0.65493 0.33326 0.57795 0.53427 0.32551 0.17325 0.05821 0.33598 0.34456 0.32299
35 33.0 0.42415 0.20084 0.24904 0.54319 0.42446 0.285 0.17842 0.39966 0.70538 0.65711 0.33048 0.57733 0.53254 0.32586 0.17078 0.05716 0.33471 0.34196 0.32029
36 34.0 0.42246 0.19888 0.24324 0.54252 0.42425 0.28368 0.17346 0.39826 0.70765 0.65924 0.32796 0.5768 0.53084 0.32623 0.16852 0.05621 0.33356 0.33957 0.31781
37 35.0 0.4209 0.1971 0.23766 0.54182 0.42405 0.28252 0.16887 0.39697 0.7097 0.66134 0.32567 0.57635 0.52918 0.3266 0.16645 0.05535 0.33253 0.33737 0.31552
38 36.0 0.41949 0.19547 0.23231 0.54112 0.42385 0.2815 0.16463 0.39578 0.71156 0.6634 0.32361 0.57598 0.52757 0.32698 0.16455 0.05457 0.3316 0.33535 0.31343
39 37.0 0.4182 0.19398 0.22716 0.54042 0.42366 0.2806 0.16073 0.39469 0.71323 0.66543 0.32175 0.57567 0.526 0.32736 0.16282 0.05386 0.33077 0.3335 0.31151
40 38.0 0.41702 0.19263 0.22223 0.53972 0.42347 0.27981 0.15713 0.3937 0.71473 0.66741 0.32008 0.57543 0.52449 0.32774 0.16124 0.05321 0.33003 0.33181 0.30975
41 39.0 0.41596 0.19139 0.2175 0.53903 0.42329 0.27912 0.15381 0.39279 0.71608 0.66935 0.31858 0.57525 0.52303 0.32811 0.1598 0.05263 0.32936 0.33027 0.30814
42 40.0 0.415 0.19027 0.21297 0.53837 0.42311 0.27852 0.15076 0.39195 0.71729 0.67124 0.31723 0.57512 0.52163 0.32847 0.15848 0.0521 0.32877 0.32887 0.30667
43 41.0 0.41413 0.18925 0.20864 0.53772 0.42294 0.278 0.14796 0.39119 0.71837 0.6731 0.31603 0.57502 0.52029 0.32883 0.15728 0.05162 0.32824 0.32759 0.30534
44 42.0 0.41335 0.18832 0.2045 0.53709 0.42278 0.27754 0.14539 0.3905 0.71934 0.67491 0.31495 0.57497 0.51901 0.32916 0.15618 0.05119 0.32778 0.32642 0.30412
45 43.0 0.41265 0.18747 0.20054 0.53649 0.42262 0.27715 0.14303 0.38986 0.7202 0.67668 0.31399 0.57495 0.51778 0.32949 0.15518 0.0508 0.32736 0.32537 0.30302
46 44.0 0.41203 0.18671 0.19675 0.53592 0.42247 0.27681 0.14087 0.38929 0.72097 0.6784 0.31314 0.57496 0.51662 0.3298 0.15427 0.05045 0.327 0.32441 0.30202
47 45.0 0.41147 0.18601 0.19314 0.53537 0.42232 0.27652 0.13889 0.38876 0.72165 0.68008 0.31239 0.575 0.51551 0.33009 0.15344 0.05013 0.32667 0.32355 0.30111
48 46.0 0.41097 0.18538 0.18969 0.53486 0.42218 0.27627 0.13708 0.38828 0.72225 0.68172 0.31172 0.57505 0.51446 0.33038 0.15269 0.04984 0.32639 0.32277 0.30029
49 47.0 0.41053 0.18481 0.18641 0.53436 0.42204 0.27605 0.13542 0.38785 0.72278 0.68331 0.31113 0.57513 0.51347 0.33064 0.152 0.04957 0.32614 0.32207 0.29955
50 48.0 0.41014 0.18429 0.18328 0.5339 0.42191 0.27587 0.13391 0.38746 0.72325 0.68486 0.31061 0.57522 0.51253 0.33089 0.15138 0.04934 0.32592 0.32144 0.29889
51 49.0 0.4098 0.18383 0.18029 0.53346 0.42178 0.27571 0.13253 0.3871 0.72367 0.68636 0.31016 0.57532 0.51164 0.33113 0.15082 0.04913 0.32573 0.32088 0.29829
52 50.0 0.4095 0.18341 0.17745 0.53305 0.42166 0.27558 0.13127 0.38678 0.72403 0.68782 0.30976 0.57543 0.51081 0.33135 0.15031 0.04894 0.32557 0.32037 0.29776
53 51.0 0.40924 0.18302 0.17475 0.53267 0.42155 0.27547 0.13012 0.38649 0.72435 0.68924 0.30941 0.57555 0.51002 0.33156 0.14985 0.04876 0.32543 0.31992 0.29728
54 52.0 0.40901 0.18268 0.17217 0.53231 0.42143 0.27538 0.12907 0.38623 0.72462 0.69061 0.3091 0.57567 0.50928 0.33175 0.14943 0.04861 0.3253 0.31952 0.29685
55 53.0 0.40881 0.18237 0.16972 0.53197 0.42133 0.2753 0.12812 0.38599 0.72486 0.69194 0.30884 0.5758 0.50859 0.33194 0.14905 0.04847 0.3252 0.31916 0.29647
56 54.0 0.40864 0.18209 0.1674 0.53166 0.42122 0.27524 0.12726 0.38577 0.72507 0.69322 0.30861 0.57593 0.50794 0.33211 0.14871 0.04835 0.32511 0.31885 0.29613
57 55.0 0.4085 0.18184 0.16519 0.53137 0.42113 0.27519 0.12647 0.38558 0.72525 0.69447 0.30842 0.57606 0.50733 0.33226 0.1484 0.04823 0.32503 0.31857 0.29583
58 56.0 0.40838 0.18161 0.16309 0.5311 0.42103 0.27515 0.12576 0.38541 0.7254 0.69567 0.30825 0.57619 0.50676 0.33241 0.14812 0.04813 0.32497 0.31832 0.29557
59 57.0 0.40827 0.18141 0.16109 0.53085 0.42095 0.27512 0.12511 0.38525 0.72553 0.69683 0.30811 0.57632 0.50622 0.33255 0.14787 0.04805 0.32492 0.31811 0.29533
60 58.0 0.40819 0.18123 0.1592 0.53061 0.42086 0.2751 0.12452 0.38511 0.72564 0.69796 0.30799 0.57644 0.50572 0.33267 0.14765 0.04797 0.32487 0.31792 0.29513
61 59.0 0.40812 0.18106 0.1574 0.5304 0.42078 0.27508 0.12399 0.38499 0.72573 0.69904 0.30789 0.57657 0.50526 0.33279 0.14744 0.04789 0.32484 0.31776 0.29495
62 60.0 0.40806 0.18092 0.1557 0.5302 0.4207 0.27507 0.12352 0.38487 0.72581 0.70008 0.30781 0.57669 0.50483 0.3329 0.14726 0.04783 0.32481 0.31762 0.2948
63 61.0 0.40802 0.18078 0.15408 0.53002 0.42063 0.27506 0.12308 0.38477 0.72587 0.70109 0.30774 0.57681 0.50443 0.33299 0.1471 0.04778 0.32478 0.31749 0.29466
64 62.0 0.40799 0.18067 0.15255 0.52985 0.42056 0.27506 0.12269 0.38469 0.72592 0.70206 0.30768 0.57693 0.50405 0.33309 0.14695 0.04773 0.32477 0.31739 0.29455
65 63.0 0.40796 0.18056 0.1511 0.5297 0.42049 0.27506 0.12234 0.38461 0.72596 0.703 0.30764 0.57704 0.5037 0.33317 0.14682 0.04768 0.32475 0.3173 0.29445
66 64.0 0.40795 0.18047 0.14972 0.52955 0.42043 0.27506 0.12202 0.38454 0.72599 0.70389 0.3076 0.57715 0.50338 0.33325 0.14671 0.04764 0.32475 0.31723 0.29436
67 65.0 0.40794 0.18039 0.14842 0.52942 0.42037 0.27506 0.12174 0.38447 0.72602 0.70476 0.30758 0.57725 0.50308 0.33332 0.1466 0.04761 0.32474 0.31717 0.29429
68 66.0 0.40793 0.18031 0.14718 0.5293 0.42031 0.27507 0.12148 0.38442 0.72603 0.70559 0.30756 0.57735 0.50281 0.33338 0.14651 0.04758 0.32474 0.31712 0.29423
69 67.0 0.40793 0.18025 0.14601 0.52919 0.42026 0.27508 0.12125 0.38437 0.72604 0.70639 0.30755 0.57744 0.50255 0.33344 0.14643 0.04755 0.32474 0.31708 0.29419
70 68.0 0.40794 0.18019 0.14491 0.52909 0.42021 0.27508 0.12104 0.38432 0.72605 0.70716 0.30754 0.57753 0.50231 0.3335 0.14636 0.04753 0.32474 0.31704 0.29415
71 69.0 0.40795 0.18014 0.14386 0.529 0.42016 0.27509 0.12086 0.38429 0.72605 0.70789 0.30754 0.57762 0.50209 0.33355 0.14629 0.04751 0.32474 0.31702 0.29412
72 70.0 0.40796 0.18009 0.14287 0.52892 0.42012 0.2751 0.12069 0.38425 0.72605 0.7086 0.30754 0.5777 0.50189 0.33359 0.14624 0.04749 0.32475 0.317 0.29409
73 71.0 0.40797 0.18005 0.14193 0.52884 0.42008 0.27511 0.12055 0.38422 0.72605 0.70928 0.30754 0.57778 0.5017 0.33363 0.14619 0.04747 0.32475 0.31699 0.29407
74 72.0 0.40799 0.18001 0.14104 0.52877 0.42004 0.27512 0.12042 0.3842 0.72604 0.70993 0.30754 0.57785 0.50153 0.33367 0.14614 0.04746 0.32476 0.31698 0.29406
75 73.0 0.408 0.17998 0.14021 0.52871 0.42 0.27513 0.1203 0.38417 0.72603 0.71055 0.30755 0.57792 0.50137 0.3337 0.1461 0.04745 0.32477 0.31698 0.29405
76 74.0 0.40802 0.17995 0.13941 0.52866 0.41996 0.27514 0.12019 0.38415 0.72602 0.71115 0.30756 0.57798 0.50123 0.33373 0.14607 0.04744 0.32478 0.31698 0.29405
77 75.0 0.40804 0.17993 0.13866 0.5286 0.41993 0.27515 0.1201 0.38414 0.72601 0.71172 0.30757 0.57804 0.50109 0.33376 0.14604 0.04743 0.32478 0.31699 0.29405
78 76.0 0.40806 0.17991 0.13795 0.52856 0.4199 0.27515 0.12002 0.38412 0.726 0.71226 0.30758 0.5781 0.50097 0.33379 0.14601 0.04742 0.32479 0.31699 0.29406
79 77.0 0.40808 0.17989 0.13728 0.52852 0.41987 0.27516 0.11995 0.38411 0.72599 0.71279 0.3076 0.57815 0.50085 0.33381 0.14599 0.04742 0.3248 0.317 0.29406
80 78.0 0.4081 0.17988 0.13665 0.52848 0.41984 0.27517 0.11988 0.3841 0.72598 0.71329 0.30761 0.5782 0.50075 0.33383 0.14597 0.04741 0.32481 0.31701 0.29407
81 79.0 0.40812 0.17986 0.13605 0.52844 0.41981 0.27518 0.11983 0.38409 0.72596 0.71377 0.30762 0.57825 0.50066 0.33385 0.14596 0.04741 0.32482 0.31702 0.29408
82 80.0 0.40814 0.17985 0.13548 0.52841 0.41979 0.27518 0.11978 0.38408 0.72595 0.71422 0.30764 0.57829 0.50057 0.33386 0.14594 0.04741 0.32483 0.31704 0.29409
83 81.0 0.40815 0.17984 0.13495 0.52838 0.41977 0.27519 0.11973 0.38407 0.72594 0.71466 0.30765 0.57833 0.50049 0.33388 0.14593 0.0474 0.32483 0.31705 0.2941
84 82.0 0.40817 0.17983 0.13445 0.52836 0.41974 0.2752 0.1197 0.38407 0.72592 0.71508 0.30766 0.57837 0.50041 0.33389 0.14592 0.0474 0.32484 0.31707 0.29412
85 83.0 0.40819 0.17982 0.13397 0.52834 0.41972 0.2752 0.11966 0.38406 0.72591 0.71548 0.30767 0.57841 0.50035 0.33391 0.14591 0.0474 0.32485 0.31708 0.29413
86 84.0 0.40821 0.17982 0.13352 0.52832 0.4197 0.27521 0.11963 0.38406 0.7259 0.71586 0.30769 0.57844 0.50029 0.33392 0.1459 0.0474 0.32486 0.3171 0.29414
87 85.0 0.40822 0.17981 0.13309 0.5283 0.41969 0.27522 0.11961 0.38406 0.72589 0.71622 0.3077 0.57847 0.50023 0.33393 0.1459 0.0474 0.32486 0.31711 0.29416
88 86.0 0.40824 0.17981 0.13269 0.52828 0.41967 0.27522 0.11959 0.38406 0.72588 0.71657 0.30771 0.5785 0.50018 0.33393 0.14589 0.0474 0.32487 0.31713 0.29417
89 87.0 0.40825 0.1798 0.13231 0.52827 0.41966 0.27522 0.11957 0.38405 0.72587 0.7169 0.30772 0.57852 0.50013 0.33394 0.14589 0.0474 0.32488 0.31715 0.29419
90 88.0 0.40827 0.1798 0.13196 0.52826 0.41964 0.27523 0.11955 0.38405 0.72586 0.71722 0.30773 0.57855 0.50009 0.33395 0.14588 0.0474 0.32488 0.31716 0.2942
91 89.0 0.40828 0.1798 0.13162 0.52824 0.41963 0.27523 0.11954 0.38405 0.72585 0.71752 0.30774 0.57857 0.50005 0.33396 0.14588 0.0474 0.32489 0.31718 0.29422
92 90.0 0.4083 0.1798 0.1313 0.52823 0.41962 0.27524 0.11953 0.38405 0.72584 0.71781 0.30775 0.57859 0.50002 0.33396 0.14588 0.0474 0.32489 0.31719 0.29423
93 91.0 0.40831 0.1798 0.131 0.52823 0.4196 0.27524 0.11952 0.38405 0.72583 0.71808 0.30776 0.57861 0.49999 0.33397 0.14588 0.0474 0.3249 0.31721 0.29425
94 92.0 0.40832 0.17979 0.13071 0.52822 0.41959 0.27524 0.11951 0.38405 0.72582 0.71834 0.30777 0.57863 0.49996 0.33397 0.14588 0.0474 0.3249 0.31722 0.29426
95 93.0 0.40833 0.17979 0.13045 0.52821 0.41958 0.27525 0.1195 0.38405 0.72581 0.71859 0.30777 0.57864 0.49993 0.33397 0.14588 0.0474 0.32491 0.31724 0.29428
96 94.0 0.40834 0.17979 0.13019 0.5282 0.41957 0.27525 0.1195 0.38405 0.7258 0.71883 0.30778 0.57866 0.49991 0.33398 0.14588 0.0474 0.32491 0.31725 0.29429
97 95.0 0.40835 0.17979 0.12995 0.5282 0.41956 0.27525 0.11949 0.38405 0.7258 0.71905 0.30779 0.57867 0.49989 0.33398 0.14588 0.0474 0.32492 0.31726 0.2943
98 96.0 0.40836 0.17979 0.12973 0.52819 0.41956 0.27525 0.11949 0.38405 0.72579 0.71927 0.3078 0.57868 0.49987 0.33398 0.14588 0.0474 0.32492 0.31728 0.29431
99 97.0 0.40837 0.17979 0.12951 0.52819 0.41955 0.27525 0.11949 0.38405 0.72578 0.71947 0.3078 0.57869 0.49985 0.33398 0.14588 0.0474 0.32492 0.31729 0.29433
100 98.0 0.40838 0.17979 0.12931 0.52819 0.41954 0.27526 0.11948 0.38405 0.72578 0.71966 0.30781 0.5787 0.49984 0.33399 0.14588 0.0474 0.32493 0.3173 0.29434
101 99.0 0.40838 0.17979 0.12912 0.52818 0.41954 0.27526 0.11948 0.38405 0.72577 0.71985 0.30781 0.57871 0.49982 0.33399 0.14588 0.0474 0.32493 0.31731 0.29435
102 100.0 0.40839 0.17979 0.12895 0.52818 0.41953 0.27526 0.11948 0.38405 0.72577 0.72003 0.30782 0.57872 0.49981 0.33399 0.14588 0.0474 0.32493 0.31732 0.29436

View file

@ -0,0 +1,102 @@
t,H,X,Kp,Ko,F,G,N,Q,P,E,S,A,Ystar,B,V,Vsel,sigma,VFAC,VFAC01
0.0,0.5,0.4,0.5,0.05,0.4,0.5,0.5,0.5,0.4,0.5,0.5,0.5,0.37123,0.69904,0.33894,0.16648,0.49119,0.49774,0.49746
1.0,0.51318,0.39517,0.49487,0.07623,0.40625,0.50481,0.50255,0.50222,0.39033,0.51383,0.51249,0.5316,0.38233,0.69224,0.35301,0.1767,0.50054,0.50679,0.50377
2.0,0.52474,0.39122,0.49129,0.10294,0.41208,0.50872,0.50583,0.50402,0.38316,0.52638,0.52387,0.55925,0.39443,0.68532,0.36608,0.18603,0.50816,0.51465,0.50933
3.0,0.53475,0.38796,0.48903,0.12987,0.41755,0.51175,0.50946,0.50539,0.37829,0.5377,0.53405,0.58324,0.40726,0.67834,0.37803,0.19438,0.5142,0.52137,0.51411
4.0,0.54328,0.38524,0.48785,0.15674,0.42271,0.51392,0.51312,0.50634,0.37551,0.54784,0.54298,0.60386,0.4205,0.67137,0.38873,0.20167,0.51879,0.52699,0.51809
5.0,0.55043,0.38293,0.48752,0.18329,0.42758,0.51527,0.51652,0.50685,0.37459,0.55686,0.55064,0.6214,0.4339,0.66449,0.3981,0.20783,0.52206,0.53156,0.52128
6.0,0.5563,0.38089,0.48781,0.20927,0.43218,0.51584,0.51944,0.50694,0.37532,0.56482,0.55704,0.63613,0.44717,0.65776,0.40608,0.21285,0.52416,0.53513,0.52369
7.0,0.56101,0.37903,0.48853,0.23445,0.43654,0.51569,0.52171,0.50664,0.37746,0.57179,0.56224,0.64833,0.46008,0.65123,0.41264,0.21672,0.52521,0.53776,0.52533
8.0,0.56466,0.37724,0.48949,0.25861,0.44065,0.5149,0.52321,0.50596,0.38079,0.57785,0.56627,0.65826,0.47245,0.64497,0.41778,0.21948,0.52535,0.53951,0.52626
9.0,0.56737,0.37545,0.49054,0.28161,0.44452,0.51353,0.52386,0.50494,0.38509,0.58307,0.56923,0.66617,0.48412,0.63901,0.42154,0.22118,0.5247,0.54046,0.52651
10.0,0.56924,0.37361,0.49155,0.30331,0.44815,0.51166,0.52364,0.50361,0.39018,0.58753,0.57119,0.67232,0.49498,0.63338,0.42397,0.2219,0.52338,0.54067,0.52614
11.0,0.57039,0.37166,0.49241,0.32362,0.45156,0.50937,0.52255,0.502,0.39585,0.59132,0.57225,0.67692,0.50497,0.62812,0.42518,0.22174,0.52151,0.54024,0.52522
12.0,0.5709,0.36958,0.49304,0.34249,0.45473,0.50672,0.52063,0.50017,0.40195,0.59451,0.57249,0.68018,0.51403,0.62323,0.42527,0.2208,0.51919,0.53923,0.5238
13.0,0.57087,0.36735,0.49339,0.35989,0.45768,0.5038,0.51793,0.49813,0.40834,0.59716,0.57201,0.68232,0.52217,0.61872,0.42436,0.21919,0.51652,0.53773,0.52195
14.0,0.57038,0.36496,0.49341,0.37583,0.4604,0.50067,0.51451,0.49594,0.41487,0.59936,0.57091,0.68349,0.52939,0.61458,0.42256,0.21701,0.51357,0.5358,0.51974
15.0,0.56953,0.36242,0.49308,0.39035,0.46292,0.4974,0.51047,0.49363,0.42146,0.60117,0.56928,0.68388,0.53574,0.61082,0.42001,0.21439,0.51043,0.53353,0.51723
16.0,0.56836,0.35972,0.4924,0.40348,0.46522,0.49404,0.50587,0.49123,0.428,0.60265,0.56721,0.68362,0.54125,0.60742,0.41683,0.2114,0.50717,0.53098,0.51447
17.0,0.56695,0.3569,0.49136,0.4153,0.46733,0.49063,0.5008,0.48877,0.43443,0.60385,0.56477,0.68284,0.54597,0.60435,0.41313,0.20815,0.50383,0.52821,0.51152
18.0,0.56536,0.35396,0.48998,0.42586,0.46925,0.48724,0.49536,0.48628,0.44068,0.60483,0.56205,0.68165,0.54998,0.60162,0.40902,0.2047,0.50046,0.52527,0.50844
19.0,0.56362,0.35092,0.48827,0.43526,0.47099,0.48388,0.48961,0.48379,0.44672,0.60563,0.55911,0.68015,0.55332,0.59918,0.4046,0.20113,0.49712,0.52222,0.50525
20.0,0.56178,0.34781,0.48626,0.44358,0.47255,0.48059,0.48363,0.48131,0.45251,0.60628,0.55601,0.67843,0.55606,0.59702,0.39996,0.19751,0.49382,0.5191,0.50202
21.0,0.55988,0.34465,0.48397,0.45089,0.47396,0.4774,0.47749,0.47886,0.45803,0.60682,0.55282,0.67656,0.55826,0.59513,0.39517,0.19387,0.49059,0.51595,0.49876
22.0,0.55794,0.34146,0.48143,0.45728,0.47522,0.47432,0.47125,0.47646,0.46326,0.60729,0.54957,0.67459,0.55997,0.59347,0.39031,0.19026,0.48746,0.5128,0.49552
23.0,0.556,0.33826,0.47867,0.46283,0.47634,0.47137,0.46497,0.47412,0.46819,0.6077,0.54631,0.67258,0.56124,0.59204,0.38542,0.18671,0.48444,0.50967,0.49231
24.0,0.55407,0.33507,0.47571,0.46762,0.47734,0.46856,0.45869,0.47185,0.47283,0.60807,0.54307,0.67056,0.56213,0.59079,0.38055,0.18325,0.48155,0.5066,0.48915
25.0,0.55217,0.33192,0.47259,0.47171,0.47821,0.4659,0.45246,0.46965,0.47717,0.60843,0.53989,0.66857,0.56269,0.58973,0.37575,0.1799,0.47879,0.5036,0.48607
26.0,0.55031,0.3288,0.46933,0.47519,0.47898,0.46339,0.44631,0.46754,0.48122,0.60879,0.53678,0.66664,0.56295,0.58883,0.37104,0.17667,0.47616,0.50069,0.48309
27.0,0.54851,0.32575,0.46596,0.47811,0.47964,0.46103,0.44027,0.46551,0.48499,0.60916,0.53378,0.66478,0.56296,0.58807,0.36645,0.17358,0.47368,0.49787,0.4802
28.0,0.54678,0.32276,0.46249,0.48054,0.48022,0.45882,0.43438,0.46358,0.48848,0.60954,0.53088,0.66301,0.56274,0.58744,0.36201,0.17063,0.47134,0.49516,0.47742
29.0,0.54512,0.31986,0.45896,0.48252,0.48071,0.45676,0.42864,0.46173,0.49171,0.60995,0.52811,0.66135,0.56233,0.58693,0.35772,0.16782,0.46914,0.49257,0.47476
30.0,0.54354,0.31705,0.45539,0.48411,0.48112,0.45485,0.42309,0.45998,0.49468,0.61039,0.52547,0.65978,0.56177,0.58652,0.3536,0.16516,0.46709,0.49009,0.47221
31.0,0.54204,0.31433,0.45179,0.48536,0.48147,0.45307,0.41772,0.45831,0.49742,0.61086,0.52296,0.65833,0.56107,0.5862,0.34966,0.16265,0.46517,0.48774,0.46979
32.0,0.54062,0.31171,0.44818,0.4863,0.48175,0.45143,0.41256,0.45674,0.49993,0.61136,0.5206,0.657,0.56025,0.58595,0.34589,0.16028,0.46338,0.48551,0.4675
33.0,0.53929,0.3092,0.44458,0.48697,0.48198,0.44992,0.4076,0.45525,0.50222,0.61191,0.51838,0.65577,0.55935,0.58578,0.34231,0.15805,0.46172,0.48341,0.46533
34.0,0.53804,0.3068,0.44101,0.48742,0.48216,0.44853,0.40286,0.45385,0.50432,0.61249,0.5163,0.65466,0.55837,0.58566,0.3389,0.15596,0.46018,0.48142,0.46328
35.0,0.53687,0.3045,0.43747,0.48766,0.48229,0.44725,0.39833,0.45253,0.50622,0.6131,0.51437,0.65366,0.55734,0.5856,0.33568,0.154,0.45876,0.47956,0.46135
36.0,0.53578,0.30231,0.43397,0.48772,0.48239,0.44608,0.39401,0.4513,0.50795,0.61375,0.51256,0.65275,0.55626,0.58558,0.33264,0.15217,0.45745,0.47782,0.45954
37.0,0.53478,0.30024,0.43053,0.48764,0.48245,0.44502,0.38992,0.45014,0.50951,0.61443,0.51089,0.65195,0.55515,0.5856,0.32977,0.15046,0.45625,0.47618,0.45785
38.0,0.53385,0.29827,0.42716,0.48744,0.48247,0.44405,0.38603,0.44905,0.51092,0.61514,0.50935,0.65125,0.55402,0.58566,0.32707,0.14886,0.45515,0.47467,0.45627
39.0,0.53299,0.2964,0.42386,0.48712,0.48247,0.44317,0.38235,0.44804,0.51219,0.61588,0.50793,0.65063,0.55289,0.58574,0.32453,0.14738,0.45414,0.47325,0.45479
40.0,0.5322,0.29464,0.42064,0.48672,0.48245,0.44237,0.37888,0.4471,0.51333,0.61664,0.50663,0.6501,0.55175,0.58584,0.32215,0.14601,0.45322,0.47194,0.45342
41.0,0.53149,0.29299,0.41751,0.48624,0.4824,0.44165,0.37561,0.44622,0.51434,0.61743,0.50544,0.64964,0.55062,0.58597,0.31993,0.14473,0.45239,0.47073,0.45215
42.0,0.53083,0.29143,0.41446,0.48571,0.48234,0.441,0.37253,0.4454,0.51524,0.61823,0.50435,0.64925,0.5495,0.5861,0.31785,0.14355,0.45163,0.46961,0.45098
43.0,0.53024,0.28996,0.41151,0.48512,0.48226,0.44042,0.36964,0.44464,0.51604,0.61905,0.50336,0.64894,0.5484,0.58626,0.3159,0.14245,0.45094,0.46858,0.44989
44.0,0.5297,0.28859,0.40866,0.4845,0.48217,0.4399,0.36693,0.44394,0.51675,0.61989,0.50247,0.64868,0.54732,0.58642,0.3141,0.14144,0.45032,0.46764,0.44889
45.0,0.52922,0.2873,0.4059,0.48386,0.48206,0.43943,0.36439,0.44329,0.51737,0.62074,0.50166,0.64847,0.54627,0.58658,0.31242,0.14051,0.44976,0.46677,0.44798
46.0,0.52879,0.2861,0.40324,0.48319,0.48195,0.43901,0.36202,0.44268,0.5179,0.62159,0.50093,0.64832,0.54526,0.58676,0.31085,0.13966,0.44927,0.46598,0.44714
47.0,0.5284,0.28498,0.40068,0.48252,0.48183,0.43864,0.35981,0.44213,0.51837,0.62245,0.50028,0.64821,0.54427,0.58693,0.30941,0.13887,0.44882,0.46526,0.44637
48.0,0.52806,0.28394,0.39822,0.48184,0.48171,0.43832,0.35775,0.44162,0.51877,0.62331,0.4997,0.64815,0.54332,0.58711,0.30807,0.13814,0.44842,0.46461,0.44567
49.0,0.52776,0.28297,0.39586,0.48116,0.48158,0.43803,0.35584,0.44115,0.51911,0.62418,0.49918,0.64811,0.5424,0.58728,0.30683,0.13748,0.44807,0.46401,0.44503
50.0,0.5275,0.28207,0.3936,0.48048,0.48145,0.43778,0.35407,0.44071,0.5194,0.62504,0.49872,0.64811,0.54153,0.58746,0.30569,0.13687,0.44776,0.46348,0.44446
51.0,0.52727,0.28124,0.39144,0.47981,0.48131,0.43756,0.35243,0.44032,0.51964,0.62589,0.49832,0.64814,0.54069,0.58763,0.30463,0.13632,0.44749,0.463,0.44394
52.0,0.52708,0.28046,0.38938,0.47916,0.48118,0.43737,0.35091,0.43996,0.51983,0.62674,0.49797,0.6482,0.53989,0.5878,0.30367,0.13582,0.44725,0.46257,0.44347
53.0,0.52691,0.27975,0.38742,0.47852,0.48104,0.4372,0.34951,0.43963,0.51999,0.62758,0.49766,0.64827,0.53913,0.58797,0.30278,0.13536,0.44705,0.46219,0.44305
54.0,0.52677,0.27909,0.38554,0.4779,0.48091,0.43706,0.34822,0.43933,0.52011,0.62842,0.4974,0.64837,0.53841,0.58813,0.30197,0.13494,0.44687,0.46185,0.44267
55.0,0.52665,0.27849,0.38376,0.47729,0.48078,0.43695,0.34703,0.43905,0.52019,0.62924,0.49717,0.64847,0.53773,0.58829,0.30122,0.13456,0.44672,0.46154,0.44234
56.0,0.52655,0.27793,0.38207,0.47671,0.48065,0.43685,0.34594,0.4388,0.52025,0.63004,0.49698,0.6486,0.53709,0.58844,0.30054,0.13422,0.44659,0.46128,0.44204
57.0,0.52648,0.27742,0.38047,0.47615,0.48052,0.43677,0.34495,0.43858,0.52029,0.63083,0.49682,0.64873,0.53649,0.58858,0.29993,0.13391,0.44649,0.46105,0.44178
58.0,0.52642,0.27695,0.37895,0.47561,0.4804,0.4367,0.34404,0.43838,0.5203,0.63161,0.49668,0.64887,0.53592,0.58872,0.29936,0.13364,0.4464,0.46085,0.44155
59.0,0.52638,0.27653,0.37752,0.4751,0.48028,0.43665,0.34321,0.43819,0.5203,0.63237,0.49658,0.64902,0.53539,0.58885,0.29886,0.13339,0.44633,0.46068,0.44136
60.0,0.52635,0.27614,0.37616,0.47461,0.48017,0.43661,0.34246,0.43803,0.52028,0.63311,0.49649,0.64917,0.53489,0.58898,0.2984,0.13317,0.44628,0.46053,0.44119
61.0,0.52633,0.27578,0.37488,0.47414,0.48005,0.43658,0.34178,0.43788,0.52024,0.63384,0.49643,0.64933,0.53443,0.5891,0.29798,0.13297,0.44624,0.46041,0.44104
62.0,0.52633,0.27546,0.37367,0.47369,0.47995,0.43656,0.34116,0.43775,0.5202,0.63454,0.49638,0.64949,0.534,0.58922,0.29761,0.1328,0.44621,0.46031,0.44092
63.0,0.52633,0.27517,0.37254,0.47327,0.47984,0.43655,0.3406,0.43763,0.52014,0.63523,0.49635,0.64964,0.5336,0.58933,0.29727,0.13264,0.44619,0.46023,0.44082
64.0,0.52635,0.2749,0.37147,0.47287,0.47975,0.43655,0.3401,0.43753,0.52008,0.6359,0.49633,0.6498,0.53323,0.58943,0.29698,0.13251,0.44619,0.46016,0.44074
65.0,0.52637,0.27467,0.37047,0.47249,0.47965,0.43655,0.33965,0.43744,0.52,0.63654,0.49633,0.64996,0.53289,0.58953,0.29671,0.13239,0.44619,0.46012,0.44067
66.0,0.5264,0.27445,0.36953,0.47214,0.47956,0.43656,0.33925,0.43736,0.51993,0.63717,0.49633,0.65012,0.53258,0.58962,0.29647,0.13228,0.44619,0.46008,0.44062
67.0,0.52643,0.27426,0.36865,0.47181,0.47948,0.43658,0.33889,0.43729,0.51985,0.63777,0.49635,0.65027,0.53229,0.58971,0.29627,0.1322,0.44621,0.46006,0.44058
68.0,0.52646,0.27409,0.36783,0.47149,0.4794,0.43659,0.33858,0.43723,0.51976,0.63835,0.49637,0.65042,0.53203,0.58979,0.29608,0.13212,0.44623,0.46005,0.44056
69.0,0.5265,0.27394,0.36706,0.4712,0.47932,0.43661,0.3383,0.43718,0.51967,0.63892,0.4964,0.65057,0.53179,0.58987,0.29592,0.13206,0.44625,0.46005,0.44054
70.0,0.52655,0.2738,0.36634,0.47093,0.47925,0.43664,0.33805,0.43713,0.51958,0.63946,0.49644,0.65071,0.53157,0.58994,0.29579,0.132,0.44628,0.46005,0.44054
71.0,0.52659,0.27368,0.36567,0.47067,0.47919,0.43666,0.33784,0.43709,0.5195,0.63998,0.49648,0.65085,0.53138,0.59,0.29567,0.13196,0.44631,0.46007,0.44054
72.0,0.52664,0.27357,0.36505,0.47043,0.47912,0.43669,0.33766,0.43706,0.51941,0.64048,0.49652,0.65098,0.5312,0.59006,0.29556,0.13192,0.44634,0.46009,0.44056
73.0,0.52669,0.27348,0.36447,0.47021,0.47907,0.43672,0.3375,0.43704,0.51932,0.64096,0.49657,0.65111,0.53104,0.59012,0.29548,0.13189,0.44637,0.46012,0.44057
74.0,0.52674,0.2734,0.36393,0.47001,0.47901,0.43675,0.33736,0.43702,0.51923,0.64142,0.49662,0.65124,0.5309,0.59017,0.29541,0.13187,0.44641,0.46015,0.4406
75.0,0.52678,0.27333,0.36343,0.46982,0.47896,0.43678,0.33725,0.437,0.51915,0.64186,0.49667,0.65135,0.53077,0.59022,0.29535,0.13186,0.44645,0.46018,0.44062
76.0,0.52683,0.27327,0.36297,0.46964,0.47891,0.43681,0.33716,0.43699,0.51906,0.64228,0.49672,0.65147,0.53066,0.59027,0.2953,0.13185,0.44648,0.46022,0.44066
77.0,0.52688,0.27322,0.36255,0.46948,0.47887,0.43684,0.33708,0.43698,0.51898,0.64268,0.49678,0.65157,0.53057,0.59031,0.29526,0.13184,0.44652,0.46026,0.44069
78.0,0.52693,0.27318,0.36215,0.46934,0.47883,0.43687,0.33702,0.43697,0.5189,0.64307,0.49683,0.65168,0.53048,0.59035,0.29524,0.13184,0.44656,0.4603,0.44073
79.0,0.52698,0.27315,0.36179,0.4692,0.4788,0.4369,0.33697,0.43697,0.51883,0.64344,0.49688,0.65177,0.53041,0.59038,0.29522,0.13184,0.4466,0.46035,0.44077
80.0,0.52702,0.27312,0.36145,0.46908,0.47876,0.43693,0.33694,0.43697,0.51875,0.64378,0.49693,0.65187,0.53035,0.59042,0.2952,0.13185,0.44663,0.46039,0.44081
81.0,0.52707,0.2731,0.36115,0.46896,0.47873,0.43696,0.33691,0.43697,0.51868,0.64412,0.49698,0.65195,0.53029,0.59045,0.2952,0.13186,0.44667,0.46044,0.44085
82.0,0.52711,0.27308,0.36086,0.46886,0.4787,0.43699,0.3369,0.43697,0.51861,0.64443,0.49704,0.65203,0.53025,0.59047,0.2952,0.13187,0.44671,0.46049,0.44089
83.0,0.52715,0.27307,0.3606,0.46876,0.47868,0.43702,0.33689,0.43698,0.51855,0.64473,0.49708,0.65211,0.53021,0.5905,0.2952,0.13188,0.44674,0.46053,0.44094
84.0,0.52719,0.27306,0.36037,0.46868,0.47866,0.43705,0.3369,0.43698,0.51849,0.64502,0.49713,0.65218,0.53019,0.59052,0.29521,0.13189,0.44677,0.46058,0.44098
85.0,0.52723,0.27305,0.36015,0.4686,0.47864,0.43707,0.3369,0.43699,0.51843,0.64529,0.49718,0.65225,0.53016,0.59054,0.29522,0.13191,0.44681,0.46062,0.44103
86.0,0.52727,0.27305,0.35995,0.46853,0.47862,0.4371,0.33692,0.437,0.51837,0.64554,0.49722,0.65232,0.53015,0.59056,0.29523,0.13192,0.44684,0.46067,0.44107
87.0,0.52731,0.27305,0.35977,0.46847,0.4786,0.43712,0.33694,0.437,0.51832,0.64578,0.49727,0.65238,0.53014,0.59057,0.29525,0.13194,0.44687,0.46071,0.44111
88.0,0.52734,0.27306,0.35961,0.46841,0.47859,0.43715,0.33696,0.43701,0.51827,0.64601,0.49731,0.65243,0.53013,0.59059,0.29527,0.13196,0.4469,0.46076,0.44115
89.0,0.52737,0.27306,0.35946,0.46836,0.47858,0.43717,0.33698,0.43702,0.51822,0.64623,0.49735,0.65248,0.53013,0.5906,0.29529,0.13197,0.44693,0.4608,0.44119
90.0,0.52741,0.27307,0.35932,0.46832,0.47857,0.43719,0.33701,0.43703,0.51818,0.64643,0.49739,0.65253,0.53013,0.59061,0.29531,0.13199,0.44695,0.46084,0.44123
91.0,0.52743,0.27308,0.3592,0.46828,0.47856,0.43721,0.33704,0.43704,0.51814,0.64662,0.49742,0.65257,0.53014,0.59062,0.29534,0.13201,0.44698,0.46088,0.44127
92.0,0.52746,0.27309,0.35909,0.46825,0.47855,0.43723,0.33708,0.43705,0.5181,0.6468,0.49746,0.65262,0.53015,0.59063,0.29536,0.13203,0.447,0.46092,0.44131
93.0,0.52749,0.2731,0.35899,0.46822,0.47854,0.43725,0.33711,0.43706,0.51806,0.64697,0.49749,0.65265,0.53016,0.59064,0.29539,0.13205,0.44702,0.46095,0.44135
94.0,0.52751,0.27311,0.3589,0.46819,0.47854,0.43727,0.33714,0.43707,0.51803,0.64713,0.49752,0.65269,0.53018,0.59065,0.29541,0.13206,0.44705,0.46099,0.44138
95.0,0.52754,0.27312,0.35882,0.46817,0.47853,0.43728,0.33718,0.43708,0.518,0.64728,0.49755,0.65272,0.53019,0.59065,0.29544,0.13208,0.44707,0.46102,0.44141
96.0,0.52756,0.27313,0.35875,0.46815,0.47853,0.4373,0.33721,0.43709,0.51797,0.64742,0.49758,0.65275,0.53021,0.59066,0.29546,0.1321,0.44709,0.46105,0.44145
97.0,0.52758,0.27315,0.35869,0.46813,0.47853,0.43731,0.33725,0.4371,0.51794,0.64755,0.4976,0.65278,0.53023,0.59066,0.29549,0.13211,0.4471,0.46108,0.44148
98.0,0.5276,0.27316,0.35863,0.46812,0.47852,0.43732,0.33728,0.43711,0.51792,0.64768,0.49763,0.6528,0.53025,0.59066,0.29551,0.13213,0.44712,0.46111,0.44151
99.0,0.52761,0.27317,0.35858,0.46811,0.47852,0.43734,0.33732,0.43712,0.5179,0.64779,0.49765,0.65283,0.53027,0.59067,0.29553,0.13214,0.44714,0.46114,0.44153
100.0,0.52763,0.27319,0.35854,0.4681,0.47852,0.43735,0.33735,0.43713,0.51787,0.6479,0.49767,0.65285,0.53029,0.59067,0.29556,0.13216,0.44715,0.46117,0.44156
1 t H X Kp Ko F G N Q P E S A Ystar B V Vsel sigma VFAC VFAC01
2 0.0 0.5 0.4 0.5 0.05 0.4 0.5 0.5 0.5 0.4 0.5 0.5 0.5 0.37123 0.69904 0.33894 0.16648 0.49119 0.49774 0.49746
3 1.0 0.51318 0.39517 0.49487 0.07623 0.40625 0.50481 0.50255 0.50222 0.39033 0.51383 0.51249 0.5316 0.38233 0.69224 0.35301 0.1767 0.50054 0.50679 0.50377
4 2.0 0.52474 0.39122 0.49129 0.10294 0.41208 0.50872 0.50583 0.50402 0.38316 0.52638 0.52387 0.55925 0.39443 0.68532 0.36608 0.18603 0.50816 0.51465 0.50933
5 3.0 0.53475 0.38796 0.48903 0.12987 0.41755 0.51175 0.50946 0.50539 0.37829 0.5377 0.53405 0.58324 0.40726 0.67834 0.37803 0.19438 0.5142 0.52137 0.51411
6 4.0 0.54328 0.38524 0.48785 0.15674 0.42271 0.51392 0.51312 0.50634 0.37551 0.54784 0.54298 0.60386 0.4205 0.67137 0.38873 0.20167 0.51879 0.52699 0.51809
7 5.0 0.55043 0.38293 0.48752 0.18329 0.42758 0.51527 0.51652 0.50685 0.37459 0.55686 0.55064 0.6214 0.4339 0.66449 0.3981 0.20783 0.52206 0.53156 0.52128
8 6.0 0.5563 0.38089 0.48781 0.20927 0.43218 0.51584 0.51944 0.50694 0.37532 0.56482 0.55704 0.63613 0.44717 0.65776 0.40608 0.21285 0.52416 0.53513 0.52369
9 7.0 0.56101 0.37903 0.48853 0.23445 0.43654 0.51569 0.52171 0.50664 0.37746 0.57179 0.56224 0.64833 0.46008 0.65123 0.41264 0.21672 0.52521 0.53776 0.52533
10 8.0 0.56466 0.37724 0.48949 0.25861 0.44065 0.5149 0.52321 0.50596 0.38079 0.57785 0.56627 0.65826 0.47245 0.64497 0.41778 0.21948 0.52535 0.53951 0.52626
11 9.0 0.56737 0.37545 0.49054 0.28161 0.44452 0.51353 0.52386 0.50494 0.38509 0.58307 0.56923 0.66617 0.48412 0.63901 0.42154 0.22118 0.5247 0.54046 0.52651
12 10.0 0.56924 0.37361 0.49155 0.30331 0.44815 0.51166 0.52364 0.50361 0.39018 0.58753 0.57119 0.67232 0.49498 0.63338 0.42397 0.2219 0.52338 0.54067 0.52614
13 11.0 0.57039 0.37166 0.49241 0.32362 0.45156 0.50937 0.52255 0.502 0.39585 0.59132 0.57225 0.67692 0.50497 0.62812 0.42518 0.22174 0.52151 0.54024 0.52522
14 12.0 0.5709 0.36958 0.49304 0.34249 0.45473 0.50672 0.52063 0.50017 0.40195 0.59451 0.57249 0.68018 0.51403 0.62323 0.42527 0.2208 0.51919 0.53923 0.5238
15 13.0 0.57087 0.36735 0.49339 0.35989 0.45768 0.5038 0.51793 0.49813 0.40834 0.59716 0.57201 0.68232 0.52217 0.61872 0.42436 0.21919 0.51652 0.53773 0.52195
16 14.0 0.57038 0.36496 0.49341 0.37583 0.4604 0.50067 0.51451 0.49594 0.41487 0.59936 0.57091 0.68349 0.52939 0.61458 0.42256 0.21701 0.51357 0.5358 0.51974
17 15.0 0.56953 0.36242 0.49308 0.39035 0.46292 0.4974 0.51047 0.49363 0.42146 0.60117 0.56928 0.68388 0.53574 0.61082 0.42001 0.21439 0.51043 0.53353 0.51723
18 16.0 0.56836 0.35972 0.4924 0.40348 0.46522 0.49404 0.50587 0.49123 0.428 0.60265 0.56721 0.68362 0.54125 0.60742 0.41683 0.2114 0.50717 0.53098 0.51447
19 17.0 0.56695 0.3569 0.49136 0.4153 0.46733 0.49063 0.5008 0.48877 0.43443 0.60385 0.56477 0.68284 0.54597 0.60435 0.41313 0.20815 0.50383 0.52821 0.51152
20 18.0 0.56536 0.35396 0.48998 0.42586 0.46925 0.48724 0.49536 0.48628 0.44068 0.60483 0.56205 0.68165 0.54998 0.60162 0.40902 0.2047 0.50046 0.52527 0.50844
21 19.0 0.56362 0.35092 0.48827 0.43526 0.47099 0.48388 0.48961 0.48379 0.44672 0.60563 0.55911 0.68015 0.55332 0.59918 0.4046 0.20113 0.49712 0.52222 0.50525
22 20.0 0.56178 0.34781 0.48626 0.44358 0.47255 0.48059 0.48363 0.48131 0.45251 0.60628 0.55601 0.67843 0.55606 0.59702 0.39996 0.19751 0.49382 0.5191 0.50202
23 21.0 0.55988 0.34465 0.48397 0.45089 0.47396 0.4774 0.47749 0.47886 0.45803 0.60682 0.55282 0.67656 0.55826 0.59513 0.39517 0.19387 0.49059 0.51595 0.49876
24 22.0 0.55794 0.34146 0.48143 0.45728 0.47522 0.47432 0.47125 0.47646 0.46326 0.60729 0.54957 0.67459 0.55997 0.59347 0.39031 0.19026 0.48746 0.5128 0.49552
25 23.0 0.556 0.33826 0.47867 0.46283 0.47634 0.47137 0.46497 0.47412 0.46819 0.6077 0.54631 0.67258 0.56124 0.59204 0.38542 0.18671 0.48444 0.50967 0.49231
26 24.0 0.55407 0.33507 0.47571 0.46762 0.47734 0.46856 0.45869 0.47185 0.47283 0.60807 0.54307 0.67056 0.56213 0.59079 0.38055 0.18325 0.48155 0.5066 0.48915
27 25.0 0.55217 0.33192 0.47259 0.47171 0.47821 0.4659 0.45246 0.46965 0.47717 0.60843 0.53989 0.66857 0.56269 0.58973 0.37575 0.1799 0.47879 0.5036 0.48607
28 26.0 0.55031 0.3288 0.46933 0.47519 0.47898 0.46339 0.44631 0.46754 0.48122 0.60879 0.53678 0.66664 0.56295 0.58883 0.37104 0.17667 0.47616 0.50069 0.48309
29 27.0 0.54851 0.32575 0.46596 0.47811 0.47964 0.46103 0.44027 0.46551 0.48499 0.60916 0.53378 0.66478 0.56296 0.58807 0.36645 0.17358 0.47368 0.49787 0.4802
30 28.0 0.54678 0.32276 0.46249 0.48054 0.48022 0.45882 0.43438 0.46358 0.48848 0.60954 0.53088 0.66301 0.56274 0.58744 0.36201 0.17063 0.47134 0.49516 0.47742
31 29.0 0.54512 0.31986 0.45896 0.48252 0.48071 0.45676 0.42864 0.46173 0.49171 0.60995 0.52811 0.66135 0.56233 0.58693 0.35772 0.16782 0.46914 0.49257 0.47476
32 30.0 0.54354 0.31705 0.45539 0.48411 0.48112 0.45485 0.42309 0.45998 0.49468 0.61039 0.52547 0.65978 0.56177 0.58652 0.3536 0.16516 0.46709 0.49009 0.47221
33 31.0 0.54204 0.31433 0.45179 0.48536 0.48147 0.45307 0.41772 0.45831 0.49742 0.61086 0.52296 0.65833 0.56107 0.5862 0.34966 0.16265 0.46517 0.48774 0.46979
34 32.0 0.54062 0.31171 0.44818 0.4863 0.48175 0.45143 0.41256 0.45674 0.49993 0.61136 0.5206 0.657 0.56025 0.58595 0.34589 0.16028 0.46338 0.48551 0.4675
35 33.0 0.53929 0.3092 0.44458 0.48697 0.48198 0.44992 0.4076 0.45525 0.50222 0.61191 0.51838 0.65577 0.55935 0.58578 0.34231 0.15805 0.46172 0.48341 0.46533
36 34.0 0.53804 0.3068 0.44101 0.48742 0.48216 0.44853 0.40286 0.45385 0.50432 0.61249 0.5163 0.65466 0.55837 0.58566 0.3389 0.15596 0.46018 0.48142 0.46328
37 35.0 0.53687 0.3045 0.43747 0.48766 0.48229 0.44725 0.39833 0.45253 0.50622 0.6131 0.51437 0.65366 0.55734 0.5856 0.33568 0.154 0.45876 0.47956 0.46135
38 36.0 0.53578 0.30231 0.43397 0.48772 0.48239 0.44608 0.39401 0.4513 0.50795 0.61375 0.51256 0.65275 0.55626 0.58558 0.33264 0.15217 0.45745 0.47782 0.45954
39 37.0 0.53478 0.30024 0.43053 0.48764 0.48245 0.44502 0.38992 0.45014 0.50951 0.61443 0.51089 0.65195 0.55515 0.5856 0.32977 0.15046 0.45625 0.47618 0.45785
40 38.0 0.53385 0.29827 0.42716 0.48744 0.48247 0.44405 0.38603 0.44905 0.51092 0.61514 0.50935 0.65125 0.55402 0.58566 0.32707 0.14886 0.45515 0.47467 0.45627
41 39.0 0.53299 0.2964 0.42386 0.48712 0.48247 0.44317 0.38235 0.44804 0.51219 0.61588 0.50793 0.65063 0.55289 0.58574 0.32453 0.14738 0.45414 0.47325 0.45479
42 40.0 0.5322 0.29464 0.42064 0.48672 0.48245 0.44237 0.37888 0.4471 0.51333 0.61664 0.50663 0.6501 0.55175 0.58584 0.32215 0.14601 0.45322 0.47194 0.45342
43 41.0 0.53149 0.29299 0.41751 0.48624 0.4824 0.44165 0.37561 0.44622 0.51434 0.61743 0.50544 0.64964 0.55062 0.58597 0.31993 0.14473 0.45239 0.47073 0.45215
44 42.0 0.53083 0.29143 0.41446 0.48571 0.48234 0.441 0.37253 0.4454 0.51524 0.61823 0.50435 0.64925 0.5495 0.5861 0.31785 0.14355 0.45163 0.46961 0.45098
45 43.0 0.53024 0.28996 0.41151 0.48512 0.48226 0.44042 0.36964 0.44464 0.51604 0.61905 0.50336 0.64894 0.5484 0.58626 0.3159 0.14245 0.45094 0.46858 0.44989
46 44.0 0.5297 0.28859 0.40866 0.4845 0.48217 0.4399 0.36693 0.44394 0.51675 0.61989 0.50247 0.64868 0.54732 0.58642 0.3141 0.14144 0.45032 0.46764 0.44889
47 45.0 0.52922 0.2873 0.4059 0.48386 0.48206 0.43943 0.36439 0.44329 0.51737 0.62074 0.50166 0.64847 0.54627 0.58658 0.31242 0.14051 0.44976 0.46677 0.44798
48 46.0 0.52879 0.2861 0.40324 0.48319 0.48195 0.43901 0.36202 0.44268 0.5179 0.62159 0.50093 0.64832 0.54526 0.58676 0.31085 0.13966 0.44927 0.46598 0.44714
49 47.0 0.5284 0.28498 0.40068 0.48252 0.48183 0.43864 0.35981 0.44213 0.51837 0.62245 0.50028 0.64821 0.54427 0.58693 0.30941 0.13887 0.44882 0.46526 0.44637
50 48.0 0.52806 0.28394 0.39822 0.48184 0.48171 0.43832 0.35775 0.44162 0.51877 0.62331 0.4997 0.64815 0.54332 0.58711 0.30807 0.13814 0.44842 0.46461 0.44567
51 49.0 0.52776 0.28297 0.39586 0.48116 0.48158 0.43803 0.35584 0.44115 0.51911 0.62418 0.49918 0.64811 0.5424 0.58728 0.30683 0.13748 0.44807 0.46401 0.44503
52 50.0 0.5275 0.28207 0.3936 0.48048 0.48145 0.43778 0.35407 0.44071 0.5194 0.62504 0.49872 0.64811 0.54153 0.58746 0.30569 0.13687 0.44776 0.46348 0.44446
53 51.0 0.52727 0.28124 0.39144 0.47981 0.48131 0.43756 0.35243 0.44032 0.51964 0.62589 0.49832 0.64814 0.54069 0.58763 0.30463 0.13632 0.44749 0.463 0.44394
54 52.0 0.52708 0.28046 0.38938 0.47916 0.48118 0.43737 0.35091 0.43996 0.51983 0.62674 0.49797 0.6482 0.53989 0.5878 0.30367 0.13582 0.44725 0.46257 0.44347
55 53.0 0.52691 0.27975 0.38742 0.47852 0.48104 0.4372 0.34951 0.43963 0.51999 0.62758 0.49766 0.64827 0.53913 0.58797 0.30278 0.13536 0.44705 0.46219 0.44305
56 54.0 0.52677 0.27909 0.38554 0.4779 0.48091 0.43706 0.34822 0.43933 0.52011 0.62842 0.4974 0.64837 0.53841 0.58813 0.30197 0.13494 0.44687 0.46185 0.44267
57 55.0 0.52665 0.27849 0.38376 0.47729 0.48078 0.43695 0.34703 0.43905 0.52019 0.62924 0.49717 0.64847 0.53773 0.58829 0.30122 0.13456 0.44672 0.46154 0.44234
58 56.0 0.52655 0.27793 0.38207 0.47671 0.48065 0.43685 0.34594 0.4388 0.52025 0.63004 0.49698 0.6486 0.53709 0.58844 0.30054 0.13422 0.44659 0.46128 0.44204
59 57.0 0.52648 0.27742 0.38047 0.47615 0.48052 0.43677 0.34495 0.43858 0.52029 0.63083 0.49682 0.64873 0.53649 0.58858 0.29993 0.13391 0.44649 0.46105 0.44178
60 58.0 0.52642 0.27695 0.37895 0.47561 0.4804 0.4367 0.34404 0.43838 0.5203 0.63161 0.49668 0.64887 0.53592 0.58872 0.29936 0.13364 0.4464 0.46085 0.44155
61 59.0 0.52638 0.27653 0.37752 0.4751 0.48028 0.43665 0.34321 0.43819 0.5203 0.63237 0.49658 0.64902 0.53539 0.58885 0.29886 0.13339 0.44633 0.46068 0.44136
62 60.0 0.52635 0.27614 0.37616 0.47461 0.48017 0.43661 0.34246 0.43803 0.52028 0.63311 0.49649 0.64917 0.53489 0.58898 0.2984 0.13317 0.44628 0.46053 0.44119
63 61.0 0.52633 0.27578 0.37488 0.47414 0.48005 0.43658 0.34178 0.43788 0.52024 0.63384 0.49643 0.64933 0.53443 0.5891 0.29798 0.13297 0.44624 0.46041 0.44104
64 62.0 0.52633 0.27546 0.37367 0.47369 0.47995 0.43656 0.34116 0.43775 0.5202 0.63454 0.49638 0.64949 0.534 0.58922 0.29761 0.1328 0.44621 0.46031 0.44092
65 63.0 0.52633 0.27517 0.37254 0.47327 0.47984 0.43655 0.3406 0.43763 0.52014 0.63523 0.49635 0.64964 0.5336 0.58933 0.29727 0.13264 0.44619 0.46023 0.44082
66 64.0 0.52635 0.2749 0.37147 0.47287 0.47975 0.43655 0.3401 0.43753 0.52008 0.6359 0.49633 0.6498 0.53323 0.58943 0.29698 0.13251 0.44619 0.46016 0.44074
67 65.0 0.52637 0.27467 0.37047 0.47249 0.47965 0.43655 0.33965 0.43744 0.52 0.63654 0.49633 0.64996 0.53289 0.58953 0.29671 0.13239 0.44619 0.46012 0.44067
68 66.0 0.5264 0.27445 0.36953 0.47214 0.47956 0.43656 0.33925 0.43736 0.51993 0.63717 0.49633 0.65012 0.53258 0.58962 0.29647 0.13228 0.44619 0.46008 0.44062
69 67.0 0.52643 0.27426 0.36865 0.47181 0.47948 0.43658 0.33889 0.43729 0.51985 0.63777 0.49635 0.65027 0.53229 0.58971 0.29627 0.1322 0.44621 0.46006 0.44058
70 68.0 0.52646 0.27409 0.36783 0.47149 0.4794 0.43659 0.33858 0.43723 0.51976 0.63835 0.49637 0.65042 0.53203 0.58979 0.29608 0.13212 0.44623 0.46005 0.44056
71 69.0 0.5265 0.27394 0.36706 0.4712 0.47932 0.43661 0.3383 0.43718 0.51967 0.63892 0.4964 0.65057 0.53179 0.58987 0.29592 0.13206 0.44625 0.46005 0.44054
72 70.0 0.52655 0.2738 0.36634 0.47093 0.47925 0.43664 0.33805 0.43713 0.51958 0.63946 0.49644 0.65071 0.53157 0.58994 0.29579 0.132 0.44628 0.46005 0.44054
73 71.0 0.52659 0.27368 0.36567 0.47067 0.47919 0.43666 0.33784 0.43709 0.5195 0.63998 0.49648 0.65085 0.53138 0.59 0.29567 0.13196 0.44631 0.46007 0.44054
74 72.0 0.52664 0.27357 0.36505 0.47043 0.47912 0.43669 0.33766 0.43706 0.51941 0.64048 0.49652 0.65098 0.5312 0.59006 0.29556 0.13192 0.44634 0.46009 0.44056
75 73.0 0.52669 0.27348 0.36447 0.47021 0.47907 0.43672 0.3375 0.43704 0.51932 0.64096 0.49657 0.65111 0.53104 0.59012 0.29548 0.13189 0.44637 0.46012 0.44057
76 74.0 0.52674 0.2734 0.36393 0.47001 0.47901 0.43675 0.33736 0.43702 0.51923 0.64142 0.49662 0.65124 0.5309 0.59017 0.29541 0.13187 0.44641 0.46015 0.4406
77 75.0 0.52678 0.27333 0.36343 0.46982 0.47896 0.43678 0.33725 0.437 0.51915 0.64186 0.49667 0.65135 0.53077 0.59022 0.29535 0.13186 0.44645 0.46018 0.44062
78 76.0 0.52683 0.27327 0.36297 0.46964 0.47891 0.43681 0.33716 0.43699 0.51906 0.64228 0.49672 0.65147 0.53066 0.59027 0.2953 0.13185 0.44648 0.46022 0.44066
79 77.0 0.52688 0.27322 0.36255 0.46948 0.47887 0.43684 0.33708 0.43698 0.51898 0.64268 0.49678 0.65157 0.53057 0.59031 0.29526 0.13184 0.44652 0.46026 0.44069
80 78.0 0.52693 0.27318 0.36215 0.46934 0.47883 0.43687 0.33702 0.43697 0.5189 0.64307 0.49683 0.65168 0.53048 0.59035 0.29524 0.13184 0.44656 0.4603 0.44073
81 79.0 0.52698 0.27315 0.36179 0.4692 0.4788 0.4369 0.33697 0.43697 0.51883 0.64344 0.49688 0.65177 0.53041 0.59038 0.29522 0.13184 0.4466 0.46035 0.44077
82 80.0 0.52702 0.27312 0.36145 0.46908 0.47876 0.43693 0.33694 0.43697 0.51875 0.64378 0.49693 0.65187 0.53035 0.59042 0.2952 0.13185 0.44663 0.46039 0.44081
83 81.0 0.52707 0.2731 0.36115 0.46896 0.47873 0.43696 0.33691 0.43697 0.51868 0.64412 0.49698 0.65195 0.53029 0.59045 0.2952 0.13186 0.44667 0.46044 0.44085
84 82.0 0.52711 0.27308 0.36086 0.46886 0.4787 0.43699 0.3369 0.43697 0.51861 0.64443 0.49704 0.65203 0.53025 0.59047 0.2952 0.13187 0.44671 0.46049 0.44089
85 83.0 0.52715 0.27307 0.3606 0.46876 0.47868 0.43702 0.33689 0.43698 0.51855 0.64473 0.49708 0.65211 0.53021 0.5905 0.2952 0.13188 0.44674 0.46053 0.44094
86 84.0 0.52719 0.27306 0.36037 0.46868 0.47866 0.43705 0.3369 0.43698 0.51849 0.64502 0.49713 0.65218 0.53019 0.59052 0.29521 0.13189 0.44677 0.46058 0.44098
87 85.0 0.52723 0.27305 0.36015 0.4686 0.47864 0.43707 0.3369 0.43699 0.51843 0.64529 0.49718 0.65225 0.53016 0.59054 0.29522 0.13191 0.44681 0.46062 0.44103
88 86.0 0.52727 0.27305 0.35995 0.46853 0.47862 0.4371 0.33692 0.437 0.51837 0.64554 0.49722 0.65232 0.53015 0.59056 0.29523 0.13192 0.44684 0.46067 0.44107
89 87.0 0.52731 0.27305 0.35977 0.46847 0.4786 0.43712 0.33694 0.437 0.51832 0.64578 0.49727 0.65238 0.53014 0.59057 0.29525 0.13194 0.44687 0.46071 0.44111
90 88.0 0.52734 0.27306 0.35961 0.46841 0.47859 0.43715 0.33696 0.43701 0.51827 0.64601 0.49731 0.65243 0.53013 0.59059 0.29527 0.13196 0.4469 0.46076 0.44115
91 89.0 0.52737 0.27306 0.35946 0.46836 0.47858 0.43717 0.33698 0.43702 0.51822 0.64623 0.49735 0.65248 0.53013 0.5906 0.29529 0.13197 0.44693 0.4608 0.44119
92 90.0 0.52741 0.27307 0.35932 0.46832 0.47857 0.43719 0.33701 0.43703 0.51818 0.64643 0.49739 0.65253 0.53013 0.59061 0.29531 0.13199 0.44695 0.46084 0.44123
93 91.0 0.52743 0.27308 0.3592 0.46828 0.47856 0.43721 0.33704 0.43704 0.51814 0.64662 0.49742 0.65257 0.53014 0.59062 0.29534 0.13201 0.44698 0.46088 0.44127
94 92.0 0.52746 0.27309 0.35909 0.46825 0.47855 0.43723 0.33708 0.43705 0.5181 0.6468 0.49746 0.65262 0.53015 0.59063 0.29536 0.13203 0.447 0.46092 0.44131
95 93.0 0.52749 0.2731 0.35899 0.46822 0.47854 0.43725 0.33711 0.43706 0.51806 0.64697 0.49749 0.65265 0.53016 0.59064 0.29539 0.13205 0.44702 0.46095 0.44135
96 94.0 0.52751 0.27311 0.3589 0.46819 0.47854 0.43727 0.33714 0.43707 0.51803 0.64713 0.49752 0.65269 0.53018 0.59065 0.29541 0.13206 0.44705 0.46099 0.44138
97 95.0 0.52754 0.27312 0.35882 0.46817 0.47853 0.43728 0.33718 0.43708 0.518 0.64728 0.49755 0.65272 0.53019 0.59065 0.29544 0.13208 0.44707 0.46102 0.44141
98 96.0 0.52756 0.27313 0.35875 0.46815 0.47853 0.4373 0.33721 0.43709 0.51797 0.64742 0.49758 0.65275 0.53021 0.59066 0.29546 0.1321 0.44709 0.46105 0.44145
99 97.0 0.52758 0.27315 0.35869 0.46813 0.47853 0.43731 0.33725 0.4371 0.51794 0.64755 0.4976 0.65278 0.53023 0.59066 0.29549 0.13211 0.4471 0.46108 0.44148
100 98.0 0.5276 0.27316 0.35863 0.46812 0.47852 0.43732 0.33728 0.43711 0.51792 0.64768 0.49763 0.6528 0.53025 0.59066 0.29551 0.13213 0.44712 0.46111 0.44151
101 99.0 0.52761 0.27317 0.35858 0.46811 0.47852 0.43734 0.33732 0.43712 0.5179 0.64779 0.49765 0.65283 0.53027 0.59067 0.29553 0.13214 0.44714 0.46114 0.44153
102 100.0 0.52763 0.27319 0.35854 0.4681 0.47852 0.43735 0.33735 0.43713 0.51787 0.6479 0.49767 0.65285 0.53029 0.59067 0.29556 0.13216 0.44715 0.46117 0.44156

View file

@ -0,0 +1,102 @@
t,H,X,Kp,Ko,F,G,N,Q,P,E,S,A,Ystar,B,V,Vsel,sigma,VFAC,VFAC01
0.0,0.5,0.4,0.5,0.05,0.4,0.5,0.5,0.5,0.4,0.5,0.5,0.5,0.37123,0.69904,0.33894,0.16648,0.49119,0.49774,0.49746
1.0,0.51342,0.43236,0.49531,0.0766,0.40625,0.50511,0.50642,0.50266,0.38791,0.51383,0.51255,0.5316,0.38276,0.69215,0.37041,0.18567,0.50125,0.51266,0.51034
2.0,0.52565,0.46242,0.49318,0.10449,0.41211,0.50987,0.51529,0.50575,0.37835,0.52635,0.52415,0.55922,0.39622,0.68492,0.40121,0.20458,0.50992,0.52629,0.52231
3.0,0.53662,0.49026,0.49333,0.13339,0.41765,0.51417,0.52582,0.50907,0.37124,0.53757,0.5347,0.58312,0.41126,0.67743,0.43099,0.22293,0.51725,0.53863,0.53331
4.0,0.54629,0.51593,0.49544,0.16298,0.42293,0.51789,0.53731,0.51244,0.36644,0.54753,0.54414,0.60356,0.42745,0.66975,0.45937,0.24038,0.52328,0.54965,0.54325
5.0,0.55466,0.53947,0.49917,0.19291,0.42799,0.52095,0.54907,0.51571,0.36377,0.55626,0.55242,0.62081,0.44435,0.662,0.48596,0.25662,0.52806,0.55932,0.55207
6.0,0.56177,0.56091,0.50416,0.2228,0.43284,0.52331,0.56052,0.51877,0.36304,0.5638,0.55952,0.63513,0.4615,0.65425,0.51042,0.27136,0.53164,0.56764,0.55973
7.0,0.56768,0.58028,0.51004,0.25227,0.4375,0.52495,0.57121,0.52139,0.36402,0.57021,0.56545,0.64678,0.47848,0.64661,0.53241,0.28434,0.53406,0.57462,0.56619
8.0,0.57246,0.59762,0.51647,0.28097,0.44195,0.52588,0.58077,0.52286,0.36647,0.57556,0.57024,0.65602,0.49489,0.63917,0.55147,0.29518,0.53526,0.58021,0.57137
9.0,0.57619,0.61297,0.52309,0.30852,0.44621,0.52612,0.58893,0.52322,0.37014,0.57993,0.57394,0.66312,0.5104,0.63203,0.56747,0.30379,0.53534,0.58448,0.57533
10.0,0.57899,0.62639,0.52964,0.33465,0.45024,0.52572,0.59558,0.52268,0.3748,0.58342,0.57661,0.66833,0.52478,0.62526,0.58046,0.31024,0.53447,0.58754,0.57815
11.0,0.58095,0.63797,0.53587,0.35912,0.45404,0.52475,0.60066,0.52141,0.3802,0.58611,0.57832,0.6719,0.53785,0.61892,0.59059,0.31469,0.53284,0.58951,0.57995
12.0,0.58218,0.64782,0.54161,0.38179,0.45761,0.52328,0.60423,0.5196,0.38612,0.58811,0.57916,0.67408,0.54956,0.61304,0.59808,0.31733,0.53059,0.59053,0.58084
13.0,0.58278,0.65609,0.54676,0.40258,0.46093,0.52138,0.60637,0.5174,0.39237,0.58951,0.57922,0.67508,0.5599,0.60765,0.60322,0.31842,0.52787,0.59073,0.58096
14.0,0.58285,0.6629,0.55123,0.42148,0.46401,0.51915,0.60723,0.51498,0.39877,0.59041,0.57861,0.67511,0.56889,0.60275,0.60632,0.31821,0.52483,0.59026,0.58043
15.0,0.58248,0.66842,0.555,0.43851,0.46684,0.51665,0.60697,0.51243,0.4052,0.59088,0.57741,0.67436,0.57662,0.59834,0.60768,0.31696,0.52158,0.58923,0.57938
16.0,0.58175,0.67278,0.55808,0.45375,0.46944,0.51396,0.60576,0.50987,0.41153,0.59101,0.57572,0.67299,0.58319,0.59439,0.60763,0.31488,0.51821,0.58777,0.5779
17.0,0.58073,0.67614,0.56047,0.4673,0.4718,0.51115,0.60375,0.50736,0.41767,0.59087,0.57364,0.67114,0.58871,0.59087,0.60644,0.3122,0.51481,0.58596,0.57611
18.0,0.5795,0.67863,0.56222,0.47928,0.47394,0.50827,0.6011,0.50496,0.42356,0.59052,0.57124,0.66894,0.59328,0.58777,0.60435,0.30909,0.51145,0.58392,0.57408
19.0,0.5781,0.68038,0.56339,0.4898,0.47587,0.50538,0.59797,0.50271,0.42915,0.59003,0.5686,0.6665,0.59702,0.58504,0.6016,0.30571,0.50816,0.58171,0.5719
20.0,0.57659,0.6815,0.56402,0.49899,0.4776,0.50251,0.59447,0.50063,0.43442,0.58942,0.5658,0.66391,0.60004,0.58266,0.59837,0.30217,0.50499,0.5794,0.56962
21.0,0.575,0.6821,0.56417,0.50699,0.47914,0.49971,0.59071,0.49873,0.43934,0.58874,0.56289,0.66123,0.60243,0.58059,0.59482,0.29858,0.50197,0.57704,0.5673
22.0,0.57337,0.68228,0.56391,0.51392,0.48052,0.497,0.5868,0.49702,0.44391,0.58804,0.55993,0.65853,0.60428,0.57879,0.59108,0.29501,0.4991,0.57469,0.56499
23.0,0.57173,0.68211,0.56329,0.51989,0.48174,0.4944,0.58281,0.4955,0.44813,0.58732,0.55696,0.65586,0.60568,0.57724,0.58724,0.29152,0.49642,0.57236,0.5627
24.0,0.57009,0.68167,0.56236,0.52501,0.48282,0.49192,0.57881,0.49417,0.45201,0.58661,0.55402,0.65325,0.60669,0.57592,0.5834,0.28815,0.49391,0.5701,0.56048
25.0,0.56849,0.68101,0.56117,0.52939,0.48376,0.48958,0.57485,0.493,0.45556,0.58593,0.55114,0.65073,0.60738,0.57478,0.57961,0.28492,0.49158,0.56792,0.55834
26.0,0.56693,0.68019,0.55976,0.53311,0.48459,0.48739,0.57097,0.49199,0.4588,0.58529,0.54835,0.64832,0.60779,0.57382,0.57593,0.28187,0.48943,0.56583,0.55629
27.0,0.56542,0.67925,0.55819,0.53625,0.48531,0.48534,0.56722,0.49113,0.46174,0.5847,0.54567,0.64604,0.60799,0.573,0.57238,0.27901,0.48745,0.56386,0.55435
28.0,0.56398,0.67823,0.55649,0.5389,0.48594,0.48344,0.56361,0.4904,0.4644,0.58417,0.5431,0.64389,0.608,0.57232,0.569,0.27632,0.48563,0.56199,0.55252
29.0,0.5626,0.67716,0.55468,0.54111,0.48648,0.48167,0.56017,0.48979,0.4668,0.58369,0.54067,0.64188,0.60787,0.57174,0.56579,0.27383,0.48398,0.56025,0.5508
30.0,0.5613,0.67606,0.55281,0.54295,0.48694,0.48005,0.5569,0.48929,0.46896,0.58328,0.53837,0.64001,0.60763,0.57127,0.56277,0.27153,0.48248,0.55862,0.54921
31.0,0.56007,0.67495,0.55089,0.54446,0.48733,0.47856,0.55381,0.48889,0.4709,0.58292,0.53622,0.63828,0.60729,0.57088,0.55995,0.2694,0.48111,0.55712,0.54773
32.0,0.55891,0.67386,0.54895,0.5457,0.48766,0.4772,0.55092,0.48856,0.47264,0.58263,0.5342,0.63669,0.60689,0.57056,0.55732,0.26745,0.47988,0.55573,0.54636
33.0,0.55783,0.67279,0.54701,0.54669,0.48794,0.47596,0.54821,0.48831,0.47419,0.5824,0.53233,0.63523,0.60644,0.5703,0.55489,0.26567,0.47877,0.55445,0.5451
34.0,0.55683,0.67175,0.54508,0.54749,0.48818,0.47483,0.54569,0.48813,0.47557,0.58222,0.5306,0.6339,0.60596,0.57009,0.55264,0.26404,0.47778,0.55328,0.54395
35.0,0.55589,0.67075,0.54318,0.54812,0.48837,0.47381,0.54335,0.48799,0.4768,0.58209,0.52899,0.63269,0.60545,0.56993,0.55056,0.26256,0.47689,0.55221,0.5429
36.0,0.55503,0.6698,0.54132,0.5486,0.48852,0.47288,0.54118,0.48791,0.47789,0.58201,0.52752,0.63159,0.60494,0.5698,0.54866,0.26121,0.47609,0.55124,0.54194
37.0,0.55423,0.6689,0.53951,0.54897,0.48865,0.47205,0.53919,0.48786,0.47885,0.58198,0.52617,0.6306,0.60443,0.56971,0.54693,0.26,0.47538,0.55036,0.54108
38.0,0.5535,0.66805,0.53775,0.54923,0.48874,0.4713,0.53736,0.48785,0.4797,0.58199,0.52494,0.62971,0.60392,0.56964,0.54534,0.2589,0.47475,0.54957,0.5403
39.0,0.55283,0.66725,0.53606,0.54941,0.48882,0.47062,0.53568,0.48786,0.48044,0.58203,0.52381,0.62891,0.60342,0.56959,0.5439,0.25791,0.47419,0.54885,0.53959
40.0,0.55221,0.66651,0.53444,0.54952,0.48887,0.47002,0.53415,0.4879,0.4811,0.58211,0.52279,0.62819,0.60295,0.56956,0.5426,0.25703,0.4737,0.54821,0.53896
41.0,0.55165,0.66582,0.53288,0.54957,0.48891,0.46948,0.53276,0.48795,0.48167,0.58222,0.52187,0.62756,0.60249,0.56955,0.54142,0.25623,0.47327,0.54764,0.53839
42.0,0.55114,0.66518,0.5314,0.54958,0.48893,0.469,0.53149,0.48802,0.48217,0.58235,0.52103,0.62699,0.60205,0.56955,0.54035,0.25553,0.47289,0.54713,0.53789
43.0,0.55068,0.66459,0.52999,0.54956,0.48894,0.46857,0.53034,0.48809,0.48261,0.58251,0.52027,0.62648,0.60164,0.56955,0.53939,0.25489,0.47255,0.54667,0.53744
44.0,0.55026,0.66404,0.52866,0.54951,0.48894,0.46819,0.52931,0.48818,0.48298,0.58269,0.5196,0.62604,0.60125,0.56957,0.53853,0.25433,0.47226,0.54627,0.53704
45.0,0.54988,0.66355,0.5274,0.54944,0.48894,0.46786,0.52837,0.48827,0.48331,0.58288,0.51899,0.62565,0.60089,0.56959,0.53776,0.25383,0.47201,0.54592,0.53669
46.0,0.54954,0.66309,0.52621,0.54935,0.48892,0.46756,0.52753,0.48837,0.48359,0.58308,0.51845,0.6253,0.60056,0.56961,0.53708,0.25339,0.47179,0.54561,0.53639
47.0,0.54923,0.66268,0.5251,0.54925,0.4889,0.4673,0.52678,0.48846,0.48383,0.5833,0.51796,0.625,0.60025,0.56963,0.53646,0.253,0.4716,0.54533,0.53612
48.0,0.54895,0.6623,0.52405,0.54914,0.48888,0.46707,0.5261,0.48856,0.48403,0.58352,0.51753,0.62474,0.59997,0.56966,0.53592,0.25265,0.47144,0.5451,0.53588
49.0,0.5487,0.66196,0.52308,0.54903,0.48886,0.46686,0.5255,0.48866,0.48421,0.58375,0.51714,0.62451,0.59971,0.56969,0.53544,0.25235,0.4713,0.54489,0.53568
50.0,0.54848,0.66165,0.52216,0.54892,0.48883,0.46669,0.52496,0.48875,0.48436,0.58398,0.5168,0.62431,0.59947,0.56972,0.53501,0.25209,0.47119,0.54471,0.53551
51.0,0.54829,0.66138,0.52131,0.54881,0.4888,0.46653,0.52448,0.48884,0.48448,0.58422,0.5165,0.62414,0.59926,0.56975,0.53463,0.25186,0.47109,0.54456,0.53535
52.0,0.54811,0.66113,0.52052,0.5487,0.48877,0.4664,0.52406,0.48893,0.48459,0.58445,0.51624,0.62399,0.59907,0.56978,0.5343,0.25166,0.471,0.54443,0.53523
53.0,0.54795,0.6609,0.51979,0.5486,0.48874,0.46628,0.52368,0.48902,0.48467,0.58469,0.516,0.62386,0.5989,0.5698,0.53401,0.25148,0.47093,0.54432,0.53512
54.0,0.54781,0.6607,0.51911,0.5485,0.48871,0.46618,0.52335,0.4891,0.48474,0.58492,0.5158,0.62375,0.59875,0.56983,0.53376,0.25133,0.47087,0.54422,0.53502
55.0,0.54769,0.66053,0.51848,0.5484,0.48868,0.46609,0.52306,0.48918,0.4848,0.58515,0.51562,0.62366,0.59861,0.56985,0.53354,0.2512,0.47083,0.54415,0.53495
56.0,0.54758,0.66037,0.51791,0.54831,0.48866,0.46601,0.52281,0.48925,0.48485,0.58538,0.51546,0.62358,0.59849,0.56988,0.53334,0.25109,0.47079,0.54408,0.53488
57.0,0.54749,0.66023,0.51737,0.54823,0.48863,0.46595,0.52259,0.48932,0.48489,0.5856,0.51533,0.62352,0.59839,0.5699,0.53318,0.251,0.47075,0.54403,0.53483
58.0,0.5474,0.6601,0.51688,0.54815,0.48861,0.46589,0.52239,0.48939,0.48491,0.58581,0.51521,0.62346,0.5983,0.56992,0.53303,0.25092,0.47073,0.54399,0.53479
59.0,0.54733,0.65999,0.51643,0.54808,0.48858,0.46585,0.52222,0.48945,0.48494,0.58602,0.51511,0.62342,0.59822,0.56994,0.53291,0.25085,0.47071,0.54395,0.53476
60.0,0.54727,0.6599,0.51601,0.54801,0.48856,0.4658,0.52208,0.4895,0.48495,0.58622,0.51502,0.62338,0.59816,0.56996,0.53281,0.25079,0.4707,0.54392,0.53473
61.0,0.54721,0.65981,0.51563,0.54795,0.48854,0.46577,0.52195,0.48955,0.48497,0.58641,0.51494,0.62335,0.5981,0.56997,0.53272,0.25074,0.47068,0.5439,0.53471
62.0,0.54716,0.65974,0.51529,0.54789,0.48852,0.46574,0.52184,0.4896,0.48497,0.5866,0.51488,0.62333,0.59806,0.56999,0.53264,0.2507,0.47068,0.54389,0.5347
63.0,0.54712,0.65967,0.51497,0.54784,0.4885,0.46572,0.52175,0.48965,0.48498,0.58678,0.51482,0.62331,0.59802,0.57,0.53257,0.25067,0.47067,0.54388,0.53469
64.0,0.54708,0.65962,0.51468,0.54779,0.48849,0.4657,0.52167,0.48969,0.48498,0.58695,0.51477,0.62329,0.59799,0.57001,0.53252,0.25064,0.47067,0.54388,0.53469
65.0,0.54705,0.65957,0.51442,0.54775,0.48847,0.46568,0.5216,0.48973,0.48498,0.58711,0.51473,0.62328,0.59796,0.57002,0.53248,0.25062,0.47067,0.54387,0.53469
66.0,0.54702,0.65953,0.51418,0.54771,0.48846,0.46567,0.52154,0.48976,0.48498,0.58727,0.5147,0.62327,0.59795,0.57003,0.53244,0.2506,0.47067,0.54387,0.53469
67.0,0.547,0.65949,0.51396,0.54768,0.48845,0.46566,0.52149,0.48979,0.48498,0.58742,0.51467,0.62326,0.59794,0.57004,0.53241,0.25059,0.47067,0.54388,0.53469
68.0,0.54698,0.65946,0.51376,0.54765,0.48844,0.46565,0.52145,0.48982,0.48497,0.58756,0.51465,0.62326,0.59793,0.57005,0.53238,0.25058,0.47067,0.54388,0.5347
69.0,0.54696,0.65943,0.51358,0.54762,0.48843,0.46564,0.52142,0.48984,0.48497,0.5877,0.51463,0.62326,0.59792,0.57006,0.53236,0.25057,0.47067,0.54389,0.5347
70.0,0.54695,0.65941,0.51342,0.5476,0.48842,0.46563,0.52139,0.48987,0.48496,0.58783,0.51461,0.62326,0.59792,0.57006,0.53235,0.25056,0.47068,0.54389,0.53471
71.0,0.54694,0.65939,0.51327,0.54757,0.48841,0.46563,0.52137,0.48989,0.48496,0.58795,0.5146,0.62325,0.59793,0.57007,0.53234,0.25056,0.47068,0.5439,0.53472
72.0,0.54693,0.65938,0.51314,0.54756,0.4884,0.46563,0.52135,0.48991,0.48495,0.58806,0.51459,0.62326,0.59793,0.57007,0.53233,0.25056,0.47069,0.54391,0.53473
73.0,0.54692,0.65936,0.51302,0.54754,0.4884,0.46562,0.52134,0.48992,0.48495,0.58817,0.51458,0.62326,0.59794,0.57008,0.53232,0.25056,0.47069,0.54392,0.53474
74.0,0.54691,0.65935,0.51291,0.54753,0.48839,0.46562,0.52133,0.48994,0.48494,0.58827,0.51457,0.62326,0.59795,0.57008,0.53232,0.25056,0.47069,0.54393,0.53475
75.0,0.5469,0.65934,0.51281,0.54751,0.48839,0.46562,0.52132,0.48995,0.48494,0.58837,0.51457,0.62326,0.59796,0.57008,0.53231,0.25056,0.4707,0.54394,0.53476
76.0,0.5469,0.65933,0.51272,0.5475,0.48839,0.46562,0.52131,0.48996,0.48493,0.58846,0.51457,0.62326,0.59797,0.57009,0.53231,0.25056,0.4707,0.54395,0.53477
77.0,0.5469,0.65933,0.51264,0.54749,0.48839,0.46562,0.52131,0.48998,0.48493,0.58854,0.51456,0.62327,0.59798,0.57009,0.53231,0.25056,0.47071,0.54395,0.53478
78.0,0.54689,0.65932,0.51257,0.54749,0.48838,0.46562,0.5213,0.48998,0.48492,0.58862,0.51456,0.62327,0.59799,0.57009,0.53231,0.25057,0.47071,0.54396,0.53479
79.0,0.54689,0.65932,0.5125,0.54748,0.48838,0.46562,0.5213,0.48999,0.48492,0.58869,0.51456,0.62327,0.598,0.57009,0.53232,0.25057,0.47071,0.54397,0.5348
80.0,0.54689,0.65932,0.51245,0.54747,0.48838,0.46562,0.5213,0.49,0.48492,0.58876,0.51456,0.62327,0.59802,0.57009,0.53232,0.25057,0.47072,0.54398,0.53481
81.0,0.54689,0.65932,0.5124,0.54747,0.48838,0.46562,0.5213,0.49001,0.48491,0.58883,0.51456,0.62328,0.59803,0.5701,0.53232,0.25057,0.47072,0.54399,0.53481
82.0,0.54688,0.65931,0.51235,0.54747,0.48838,0.46563,0.5213,0.49001,0.48491,0.58889,0.51456,0.62328,0.59804,0.5701,0.53232,0.25058,0.47072,0.54399,0.53482
83.0,0.54688,0.65931,0.51231,0.54746,0.48838,0.46563,0.5213,0.49002,0.48491,0.58895,0.51456,0.62328,0.59806,0.5701,0.53233,0.25058,0.47072,0.544,0.53483
84.0,0.54688,0.65931,0.51227,0.54746,0.48838,0.46563,0.5213,0.49002,0.4849,0.589,0.51456,0.62328,0.59807,0.5701,0.53233,0.25058,0.47073,0.54401,0.53484
85.0,0.54688,0.65931,0.51224,0.54746,0.48838,0.46563,0.5213,0.49003,0.4849,0.58905,0.51456,0.62328,0.59808,0.5701,0.53233,0.25058,0.47073,0.54402,0.53484
86.0,0.54688,0.65931,0.51221,0.54746,0.48839,0.46563,0.52131,0.49003,0.4849,0.58909,0.51456,0.62329,0.5981,0.5701,0.53234,0.25059,0.47073,0.54402,0.53485
87.0,0.54688,0.65931,0.51218,0.54745,0.48839,0.46563,0.52131,0.49003,0.4849,0.58914,0.51456,0.62329,0.59811,0.5701,0.53234,0.25059,0.47073,0.54403,0.53486
88.0,0.54688,0.65931,0.51216,0.54745,0.48839,0.46563,0.52131,0.49003,0.4849,0.58918,0.51456,0.62329,0.59812,0.5701,0.53234,0.25059,0.47073,0.54403,0.53486
89.0,0.54688,0.65931,0.51214,0.54745,0.48839,0.46563,0.52131,0.49004,0.48489,0.58921,0.51457,0.62329,0.59813,0.5701,0.53234,0.25059,0.47073,0.54404,0.53487
90.0,0.54688,0.65931,0.51212,0.54745,0.48839,0.46563,0.52131,0.49004,0.48489,0.58925,0.51457,0.62329,0.59814,0.5701,0.53235,0.25059,0.47074,0.54404,0.53487
91.0,0.54688,0.65931,0.5121,0.54745,0.48839,0.46563,0.52131,0.49004,0.48489,0.58928,0.51457,0.62329,0.59815,0.5701,0.53235,0.2506,0.47074,0.54405,0.53488
92.0,0.54688,0.65932,0.51208,0.54745,0.48839,0.46564,0.52132,0.49004,0.48489,0.58931,0.51457,0.62329,0.59816,0.5701,0.53235,0.2506,0.47074,0.54405,0.53488
93.0,0.54688,0.65932,0.51207,0.54745,0.4884,0.46564,0.52132,0.49004,0.48489,0.58934,0.51457,0.62329,0.59817,0.5701,0.53236,0.2506,0.47074,0.54405,0.53488
94.0,0.54688,0.65932,0.51206,0.54745,0.4884,0.46564,0.52132,0.49004,0.48489,0.58936,0.51457,0.6233,0.59818,0.5701,0.53236,0.2506,0.47074,0.54406,0.53489
95.0,0.54688,0.65932,0.51205,0.54745,0.4884,0.46564,0.52132,0.49004,0.48489,0.58939,0.51457,0.6233,0.59819,0.5701,0.53236,0.2506,0.47074,0.54406,0.53489
96.0,0.54688,0.65932,0.51204,0.54745,0.4884,0.46564,0.52132,0.49004,0.48489,0.58941,0.51457,0.6233,0.5982,0.5701,0.53236,0.2506,0.47074,0.54406,0.53489
97.0,0.54688,0.65932,0.51203,0.54745,0.4884,0.46564,0.52132,0.49004,0.48489,0.58943,0.51457,0.6233,0.5982,0.5701,0.53236,0.2506,0.47074,0.54407,0.5349
98.0,0.54688,0.65932,0.51202,0.54745,0.4884,0.46564,0.52133,0.49004,0.48489,0.58945,0.51457,0.6233,0.59821,0.5701,0.53236,0.25061,0.47074,0.54407,0.5349
99.0,0.54688,0.65932,0.51202,0.54745,0.48841,0.46564,0.52133,0.49004,0.48489,0.58947,0.51457,0.6233,0.59822,0.5701,0.53237,0.25061,0.47074,0.54407,0.5349
100.0,0.54688,0.65932,0.51201,0.54745,0.48841,0.46564,0.52133,0.49004,0.48489,0.58948,0.51458,0.6233,0.59822,0.5701,0.53237,0.25061,0.47074,0.54407,0.5349
1 t H X Kp Ko F G N Q P E S A Ystar B V Vsel sigma VFAC VFAC01
2 0.0 0.5 0.4 0.5 0.05 0.4 0.5 0.5 0.5 0.4 0.5 0.5 0.5 0.37123 0.69904 0.33894 0.16648 0.49119 0.49774 0.49746
3 1.0 0.51342 0.43236 0.49531 0.0766 0.40625 0.50511 0.50642 0.50266 0.38791 0.51383 0.51255 0.5316 0.38276 0.69215 0.37041 0.18567 0.50125 0.51266 0.51034
4 2.0 0.52565 0.46242 0.49318 0.10449 0.41211 0.50987 0.51529 0.50575 0.37835 0.52635 0.52415 0.55922 0.39622 0.68492 0.40121 0.20458 0.50992 0.52629 0.52231
5 3.0 0.53662 0.49026 0.49333 0.13339 0.41765 0.51417 0.52582 0.50907 0.37124 0.53757 0.5347 0.58312 0.41126 0.67743 0.43099 0.22293 0.51725 0.53863 0.53331
6 4.0 0.54629 0.51593 0.49544 0.16298 0.42293 0.51789 0.53731 0.51244 0.36644 0.54753 0.54414 0.60356 0.42745 0.66975 0.45937 0.24038 0.52328 0.54965 0.54325
7 5.0 0.55466 0.53947 0.49917 0.19291 0.42799 0.52095 0.54907 0.51571 0.36377 0.55626 0.55242 0.62081 0.44435 0.662 0.48596 0.25662 0.52806 0.55932 0.55207
8 6.0 0.56177 0.56091 0.50416 0.2228 0.43284 0.52331 0.56052 0.51877 0.36304 0.5638 0.55952 0.63513 0.4615 0.65425 0.51042 0.27136 0.53164 0.56764 0.55973
9 7.0 0.56768 0.58028 0.51004 0.25227 0.4375 0.52495 0.57121 0.52139 0.36402 0.57021 0.56545 0.64678 0.47848 0.64661 0.53241 0.28434 0.53406 0.57462 0.56619
10 8.0 0.57246 0.59762 0.51647 0.28097 0.44195 0.52588 0.58077 0.52286 0.36647 0.57556 0.57024 0.65602 0.49489 0.63917 0.55147 0.29518 0.53526 0.58021 0.57137
11 9.0 0.57619 0.61297 0.52309 0.30852 0.44621 0.52612 0.58893 0.52322 0.37014 0.57993 0.57394 0.66312 0.5104 0.63203 0.56747 0.30379 0.53534 0.58448 0.57533
12 10.0 0.57899 0.62639 0.52964 0.33465 0.45024 0.52572 0.59558 0.52268 0.3748 0.58342 0.57661 0.66833 0.52478 0.62526 0.58046 0.31024 0.53447 0.58754 0.57815
13 11.0 0.58095 0.63797 0.53587 0.35912 0.45404 0.52475 0.60066 0.52141 0.3802 0.58611 0.57832 0.6719 0.53785 0.61892 0.59059 0.31469 0.53284 0.58951 0.57995
14 12.0 0.58218 0.64782 0.54161 0.38179 0.45761 0.52328 0.60423 0.5196 0.38612 0.58811 0.57916 0.67408 0.54956 0.61304 0.59808 0.31733 0.53059 0.59053 0.58084
15 13.0 0.58278 0.65609 0.54676 0.40258 0.46093 0.52138 0.60637 0.5174 0.39237 0.58951 0.57922 0.67508 0.5599 0.60765 0.60322 0.31842 0.52787 0.59073 0.58096
16 14.0 0.58285 0.6629 0.55123 0.42148 0.46401 0.51915 0.60723 0.51498 0.39877 0.59041 0.57861 0.67511 0.56889 0.60275 0.60632 0.31821 0.52483 0.59026 0.58043
17 15.0 0.58248 0.66842 0.555 0.43851 0.46684 0.51665 0.60697 0.51243 0.4052 0.59088 0.57741 0.67436 0.57662 0.59834 0.60768 0.31696 0.52158 0.58923 0.57938
18 16.0 0.58175 0.67278 0.55808 0.45375 0.46944 0.51396 0.60576 0.50987 0.41153 0.59101 0.57572 0.67299 0.58319 0.59439 0.60763 0.31488 0.51821 0.58777 0.5779
19 17.0 0.58073 0.67614 0.56047 0.4673 0.4718 0.51115 0.60375 0.50736 0.41767 0.59087 0.57364 0.67114 0.58871 0.59087 0.60644 0.3122 0.51481 0.58596 0.57611
20 18.0 0.5795 0.67863 0.56222 0.47928 0.47394 0.50827 0.6011 0.50496 0.42356 0.59052 0.57124 0.66894 0.59328 0.58777 0.60435 0.30909 0.51145 0.58392 0.57408
21 19.0 0.5781 0.68038 0.56339 0.4898 0.47587 0.50538 0.59797 0.50271 0.42915 0.59003 0.5686 0.6665 0.59702 0.58504 0.6016 0.30571 0.50816 0.58171 0.5719
22 20.0 0.57659 0.6815 0.56402 0.49899 0.4776 0.50251 0.59447 0.50063 0.43442 0.58942 0.5658 0.66391 0.60004 0.58266 0.59837 0.30217 0.50499 0.5794 0.56962
23 21.0 0.575 0.6821 0.56417 0.50699 0.47914 0.49971 0.59071 0.49873 0.43934 0.58874 0.56289 0.66123 0.60243 0.58059 0.59482 0.29858 0.50197 0.57704 0.5673
24 22.0 0.57337 0.68228 0.56391 0.51392 0.48052 0.497 0.5868 0.49702 0.44391 0.58804 0.55993 0.65853 0.60428 0.57879 0.59108 0.29501 0.4991 0.57469 0.56499
25 23.0 0.57173 0.68211 0.56329 0.51989 0.48174 0.4944 0.58281 0.4955 0.44813 0.58732 0.55696 0.65586 0.60568 0.57724 0.58724 0.29152 0.49642 0.57236 0.5627
26 24.0 0.57009 0.68167 0.56236 0.52501 0.48282 0.49192 0.57881 0.49417 0.45201 0.58661 0.55402 0.65325 0.60669 0.57592 0.5834 0.28815 0.49391 0.5701 0.56048
27 25.0 0.56849 0.68101 0.56117 0.52939 0.48376 0.48958 0.57485 0.493 0.45556 0.58593 0.55114 0.65073 0.60738 0.57478 0.57961 0.28492 0.49158 0.56792 0.55834
28 26.0 0.56693 0.68019 0.55976 0.53311 0.48459 0.48739 0.57097 0.49199 0.4588 0.58529 0.54835 0.64832 0.60779 0.57382 0.57593 0.28187 0.48943 0.56583 0.55629
29 27.0 0.56542 0.67925 0.55819 0.53625 0.48531 0.48534 0.56722 0.49113 0.46174 0.5847 0.54567 0.64604 0.60799 0.573 0.57238 0.27901 0.48745 0.56386 0.55435
30 28.0 0.56398 0.67823 0.55649 0.5389 0.48594 0.48344 0.56361 0.4904 0.4644 0.58417 0.5431 0.64389 0.608 0.57232 0.569 0.27632 0.48563 0.56199 0.55252
31 29.0 0.5626 0.67716 0.55468 0.54111 0.48648 0.48167 0.56017 0.48979 0.4668 0.58369 0.54067 0.64188 0.60787 0.57174 0.56579 0.27383 0.48398 0.56025 0.5508
32 30.0 0.5613 0.67606 0.55281 0.54295 0.48694 0.48005 0.5569 0.48929 0.46896 0.58328 0.53837 0.64001 0.60763 0.57127 0.56277 0.27153 0.48248 0.55862 0.54921
33 31.0 0.56007 0.67495 0.55089 0.54446 0.48733 0.47856 0.55381 0.48889 0.4709 0.58292 0.53622 0.63828 0.60729 0.57088 0.55995 0.2694 0.48111 0.55712 0.54773
34 32.0 0.55891 0.67386 0.54895 0.5457 0.48766 0.4772 0.55092 0.48856 0.47264 0.58263 0.5342 0.63669 0.60689 0.57056 0.55732 0.26745 0.47988 0.55573 0.54636
35 33.0 0.55783 0.67279 0.54701 0.54669 0.48794 0.47596 0.54821 0.48831 0.47419 0.5824 0.53233 0.63523 0.60644 0.5703 0.55489 0.26567 0.47877 0.55445 0.5451
36 34.0 0.55683 0.67175 0.54508 0.54749 0.48818 0.47483 0.54569 0.48813 0.47557 0.58222 0.5306 0.6339 0.60596 0.57009 0.55264 0.26404 0.47778 0.55328 0.54395
37 35.0 0.55589 0.67075 0.54318 0.54812 0.48837 0.47381 0.54335 0.48799 0.4768 0.58209 0.52899 0.63269 0.60545 0.56993 0.55056 0.26256 0.47689 0.55221 0.5429
38 36.0 0.55503 0.6698 0.54132 0.5486 0.48852 0.47288 0.54118 0.48791 0.47789 0.58201 0.52752 0.63159 0.60494 0.5698 0.54866 0.26121 0.47609 0.55124 0.54194
39 37.0 0.55423 0.6689 0.53951 0.54897 0.48865 0.47205 0.53919 0.48786 0.47885 0.58198 0.52617 0.6306 0.60443 0.56971 0.54693 0.26 0.47538 0.55036 0.54108
40 38.0 0.5535 0.66805 0.53775 0.54923 0.48874 0.4713 0.53736 0.48785 0.4797 0.58199 0.52494 0.62971 0.60392 0.56964 0.54534 0.2589 0.47475 0.54957 0.5403
41 39.0 0.55283 0.66725 0.53606 0.54941 0.48882 0.47062 0.53568 0.48786 0.48044 0.58203 0.52381 0.62891 0.60342 0.56959 0.5439 0.25791 0.47419 0.54885 0.53959
42 40.0 0.55221 0.66651 0.53444 0.54952 0.48887 0.47002 0.53415 0.4879 0.4811 0.58211 0.52279 0.62819 0.60295 0.56956 0.5426 0.25703 0.4737 0.54821 0.53896
43 41.0 0.55165 0.66582 0.53288 0.54957 0.48891 0.46948 0.53276 0.48795 0.48167 0.58222 0.52187 0.62756 0.60249 0.56955 0.54142 0.25623 0.47327 0.54764 0.53839
44 42.0 0.55114 0.66518 0.5314 0.54958 0.48893 0.469 0.53149 0.48802 0.48217 0.58235 0.52103 0.62699 0.60205 0.56955 0.54035 0.25553 0.47289 0.54713 0.53789
45 43.0 0.55068 0.66459 0.52999 0.54956 0.48894 0.46857 0.53034 0.48809 0.48261 0.58251 0.52027 0.62648 0.60164 0.56955 0.53939 0.25489 0.47255 0.54667 0.53744
46 44.0 0.55026 0.66404 0.52866 0.54951 0.48894 0.46819 0.52931 0.48818 0.48298 0.58269 0.5196 0.62604 0.60125 0.56957 0.53853 0.25433 0.47226 0.54627 0.53704
47 45.0 0.54988 0.66355 0.5274 0.54944 0.48894 0.46786 0.52837 0.48827 0.48331 0.58288 0.51899 0.62565 0.60089 0.56959 0.53776 0.25383 0.47201 0.54592 0.53669
48 46.0 0.54954 0.66309 0.52621 0.54935 0.48892 0.46756 0.52753 0.48837 0.48359 0.58308 0.51845 0.6253 0.60056 0.56961 0.53708 0.25339 0.47179 0.54561 0.53639
49 47.0 0.54923 0.66268 0.5251 0.54925 0.4889 0.4673 0.52678 0.48846 0.48383 0.5833 0.51796 0.625 0.60025 0.56963 0.53646 0.253 0.4716 0.54533 0.53612
50 48.0 0.54895 0.6623 0.52405 0.54914 0.48888 0.46707 0.5261 0.48856 0.48403 0.58352 0.51753 0.62474 0.59997 0.56966 0.53592 0.25265 0.47144 0.5451 0.53588
51 49.0 0.5487 0.66196 0.52308 0.54903 0.48886 0.46686 0.5255 0.48866 0.48421 0.58375 0.51714 0.62451 0.59971 0.56969 0.53544 0.25235 0.4713 0.54489 0.53568
52 50.0 0.54848 0.66165 0.52216 0.54892 0.48883 0.46669 0.52496 0.48875 0.48436 0.58398 0.5168 0.62431 0.59947 0.56972 0.53501 0.25209 0.47119 0.54471 0.53551
53 51.0 0.54829 0.66138 0.52131 0.54881 0.4888 0.46653 0.52448 0.48884 0.48448 0.58422 0.5165 0.62414 0.59926 0.56975 0.53463 0.25186 0.47109 0.54456 0.53535
54 52.0 0.54811 0.66113 0.52052 0.5487 0.48877 0.4664 0.52406 0.48893 0.48459 0.58445 0.51624 0.62399 0.59907 0.56978 0.5343 0.25166 0.471 0.54443 0.53523
55 53.0 0.54795 0.6609 0.51979 0.5486 0.48874 0.46628 0.52368 0.48902 0.48467 0.58469 0.516 0.62386 0.5989 0.5698 0.53401 0.25148 0.47093 0.54432 0.53512
56 54.0 0.54781 0.6607 0.51911 0.5485 0.48871 0.46618 0.52335 0.4891 0.48474 0.58492 0.5158 0.62375 0.59875 0.56983 0.53376 0.25133 0.47087 0.54422 0.53502
57 55.0 0.54769 0.66053 0.51848 0.5484 0.48868 0.46609 0.52306 0.48918 0.4848 0.58515 0.51562 0.62366 0.59861 0.56985 0.53354 0.2512 0.47083 0.54415 0.53495
58 56.0 0.54758 0.66037 0.51791 0.54831 0.48866 0.46601 0.52281 0.48925 0.48485 0.58538 0.51546 0.62358 0.59849 0.56988 0.53334 0.25109 0.47079 0.54408 0.53488
59 57.0 0.54749 0.66023 0.51737 0.54823 0.48863 0.46595 0.52259 0.48932 0.48489 0.5856 0.51533 0.62352 0.59839 0.5699 0.53318 0.251 0.47075 0.54403 0.53483
60 58.0 0.5474 0.6601 0.51688 0.54815 0.48861 0.46589 0.52239 0.48939 0.48491 0.58581 0.51521 0.62346 0.5983 0.56992 0.53303 0.25092 0.47073 0.54399 0.53479
61 59.0 0.54733 0.65999 0.51643 0.54808 0.48858 0.46585 0.52222 0.48945 0.48494 0.58602 0.51511 0.62342 0.59822 0.56994 0.53291 0.25085 0.47071 0.54395 0.53476
62 60.0 0.54727 0.6599 0.51601 0.54801 0.48856 0.4658 0.52208 0.4895 0.48495 0.58622 0.51502 0.62338 0.59816 0.56996 0.53281 0.25079 0.4707 0.54392 0.53473
63 61.0 0.54721 0.65981 0.51563 0.54795 0.48854 0.46577 0.52195 0.48955 0.48497 0.58641 0.51494 0.62335 0.5981 0.56997 0.53272 0.25074 0.47068 0.5439 0.53471
64 62.0 0.54716 0.65974 0.51529 0.54789 0.48852 0.46574 0.52184 0.4896 0.48497 0.5866 0.51488 0.62333 0.59806 0.56999 0.53264 0.2507 0.47068 0.54389 0.5347
65 63.0 0.54712 0.65967 0.51497 0.54784 0.4885 0.46572 0.52175 0.48965 0.48498 0.58678 0.51482 0.62331 0.59802 0.57 0.53257 0.25067 0.47067 0.54388 0.53469
66 64.0 0.54708 0.65962 0.51468 0.54779 0.48849 0.4657 0.52167 0.48969 0.48498 0.58695 0.51477 0.62329 0.59799 0.57001 0.53252 0.25064 0.47067 0.54388 0.53469
67 65.0 0.54705 0.65957 0.51442 0.54775 0.48847 0.46568 0.5216 0.48973 0.48498 0.58711 0.51473 0.62328 0.59796 0.57002 0.53248 0.25062 0.47067 0.54387 0.53469
68 66.0 0.54702 0.65953 0.51418 0.54771 0.48846 0.46567 0.52154 0.48976 0.48498 0.58727 0.5147 0.62327 0.59795 0.57003 0.53244 0.2506 0.47067 0.54387 0.53469
69 67.0 0.547 0.65949 0.51396 0.54768 0.48845 0.46566 0.52149 0.48979 0.48498 0.58742 0.51467 0.62326 0.59794 0.57004 0.53241 0.25059 0.47067 0.54388 0.53469
70 68.0 0.54698 0.65946 0.51376 0.54765 0.48844 0.46565 0.52145 0.48982 0.48497 0.58756 0.51465 0.62326 0.59793 0.57005 0.53238 0.25058 0.47067 0.54388 0.5347
71 69.0 0.54696 0.65943 0.51358 0.54762 0.48843 0.46564 0.52142 0.48984 0.48497 0.5877 0.51463 0.62326 0.59792 0.57006 0.53236 0.25057 0.47067 0.54389 0.5347
72 70.0 0.54695 0.65941 0.51342 0.5476 0.48842 0.46563 0.52139 0.48987 0.48496 0.58783 0.51461 0.62326 0.59792 0.57006 0.53235 0.25056 0.47068 0.54389 0.53471
73 71.0 0.54694 0.65939 0.51327 0.54757 0.48841 0.46563 0.52137 0.48989 0.48496 0.58795 0.5146 0.62325 0.59793 0.57007 0.53234 0.25056 0.47068 0.5439 0.53472
74 72.0 0.54693 0.65938 0.51314 0.54756 0.4884 0.46563 0.52135 0.48991 0.48495 0.58806 0.51459 0.62326 0.59793 0.57007 0.53233 0.25056 0.47069 0.54391 0.53473
75 73.0 0.54692 0.65936 0.51302 0.54754 0.4884 0.46562 0.52134 0.48992 0.48495 0.58817 0.51458 0.62326 0.59794 0.57008 0.53232 0.25056 0.47069 0.54392 0.53474
76 74.0 0.54691 0.65935 0.51291 0.54753 0.48839 0.46562 0.52133 0.48994 0.48494 0.58827 0.51457 0.62326 0.59795 0.57008 0.53232 0.25056 0.47069 0.54393 0.53475
77 75.0 0.5469 0.65934 0.51281 0.54751 0.48839 0.46562 0.52132 0.48995 0.48494 0.58837 0.51457 0.62326 0.59796 0.57008 0.53231 0.25056 0.4707 0.54394 0.53476
78 76.0 0.5469 0.65933 0.51272 0.5475 0.48839 0.46562 0.52131 0.48996 0.48493 0.58846 0.51457 0.62326 0.59797 0.57009 0.53231 0.25056 0.4707 0.54395 0.53477
79 77.0 0.5469 0.65933 0.51264 0.54749 0.48839 0.46562 0.52131 0.48998 0.48493 0.58854 0.51456 0.62327 0.59798 0.57009 0.53231 0.25056 0.47071 0.54395 0.53478
80 78.0 0.54689 0.65932 0.51257 0.54749 0.48838 0.46562 0.5213 0.48998 0.48492 0.58862 0.51456 0.62327 0.59799 0.57009 0.53231 0.25057 0.47071 0.54396 0.53479
81 79.0 0.54689 0.65932 0.5125 0.54748 0.48838 0.46562 0.5213 0.48999 0.48492 0.58869 0.51456 0.62327 0.598 0.57009 0.53232 0.25057 0.47071 0.54397 0.5348
82 80.0 0.54689 0.65932 0.51245 0.54747 0.48838 0.46562 0.5213 0.49 0.48492 0.58876 0.51456 0.62327 0.59802 0.57009 0.53232 0.25057 0.47072 0.54398 0.53481
83 81.0 0.54689 0.65932 0.5124 0.54747 0.48838 0.46562 0.5213 0.49001 0.48491 0.58883 0.51456 0.62328 0.59803 0.5701 0.53232 0.25057 0.47072 0.54399 0.53481
84 82.0 0.54688 0.65931 0.51235 0.54747 0.48838 0.46563 0.5213 0.49001 0.48491 0.58889 0.51456 0.62328 0.59804 0.5701 0.53232 0.25058 0.47072 0.54399 0.53482
85 83.0 0.54688 0.65931 0.51231 0.54746 0.48838 0.46563 0.5213 0.49002 0.48491 0.58895 0.51456 0.62328 0.59806 0.5701 0.53233 0.25058 0.47072 0.544 0.53483
86 84.0 0.54688 0.65931 0.51227 0.54746 0.48838 0.46563 0.5213 0.49002 0.4849 0.589 0.51456 0.62328 0.59807 0.5701 0.53233 0.25058 0.47073 0.54401 0.53484
87 85.0 0.54688 0.65931 0.51224 0.54746 0.48838 0.46563 0.5213 0.49003 0.4849 0.58905 0.51456 0.62328 0.59808 0.5701 0.53233 0.25058 0.47073 0.54402 0.53484
88 86.0 0.54688 0.65931 0.51221 0.54746 0.48839 0.46563 0.52131 0.49003 0.4849 0.58909 0.51456 0.62329 0.5981 0.5701 0.53234 0.25059 0.47073 0.54402 0.53485
89 87.0 0.54688 0.65931 0.51218 0.54745 0.48839 0.46563 0.52131 0.49003 0.4849 0.58914 0.51456 0.62329 0.59811 0.5701 0.53234 0.25059 0.47073 0.54403 0.53486
90 88.0 0.54688 0.65931 0.51216 0.54745 0.48839 0.46563 0.52131 0.49003 0.4849 0.58918 0.51456 0.62329 0.59812 0.5701 0.53234 0.25059 0.47073 0.54403 0.53486
91 89.0 0.54688 0.65931 0.51214 0.54745 0.48839 0.46563 0.52131 0.49004 0.48489 0.58921 0.51457 0.62329 0.59813 0.5701 0.53234 0.25059 0.47073 0.54404 0.53487
92 90.0 0.54688 0.65931 0.51212 0.54745 0.48839 0.46563 0.52131 0.49004 0.48489 0.58925 0.51457 0.62329 0.59814 0.5701 0.53235 0.25059 0.47074 0.54404 0.53487
93 91.0 0.54688 0.65931 0.5121 0.54745 0.48839 0.46563 0.52131 0.49004 0.48489 0.58928 0.51457 0.62329 0.59815 0.5701 0.53235 0.2506 0.47074 0.54405 0.53488
94 92.0 0.54688 0.65932 0.51208 0.54745 0.48839 0.46564 0.52132 0.49004 0.48489 0.58931 0.51457 0.62329 0.59816 0.5701 0.53235 0.2506 0.47074 0.54405 0.53488
95 93.0 0.54688 0.65932 0.51207 0.54745 0.4884 0.46564 0.52132 0.49004 0.48489 0.58934 0.51457 0.62329 0.59817 0.5701 0.53236 0.2506 0.47074 0.54405 0.53488
96 94.0 0.54688 0.65932 0.51206 0.54745 0.4884 0.46564 0.52132 0.49004 0.48489 0.58936 0.51457 0.6233 0.59818 0.5701 0.53236 0.2506 0.47074 0.54406 0.53489
97 95.0 0.54688 0.65932 0.51205 0.54745 0.4884 0.46564 0.52132 0.49004 0.48489 0.58939 0.51457 0.6233 0.59819 0.5701 0.53236 0.2506 0.47074 0.54406 0.53489
98 96.0 0.54688 0.65932 0.51204 0.54745 0.4884 0.46564 0.52132 0.49004 0.48489 0.58941 0.51457 0.6233 0.5982 0.5701 0.53236 0.2506 0.47074 0.54406 0.53489
99 97.0 0.54688 0.65932 0.51203 0.54745 0.4884 0.46564 0.52132 0.49004 0.48489 0.58943 0.51457 0.6233 0.5982 0.5701 0.53236 0.2506 0.47074 0.54407 0.5349
100 98.0 0.54688 0.65932 0.51202 0.54745 0.4884 0.46564 0.52133 0.49004 0.48489 0.58945 0.51457 0.6233 0.59821 0.5701 0.53236 0.25061 0.47074 0.54407 0.5349
101 99.0 0.54688 0.65932 0.51202 0.54745 0.48841 0.46564 0.52133 0.49004 0.48489 0.58947 0.51457 0.6233 0.59822 0.5701 0.53237 0.25061 0.47074 0.54407 0.5349
102 100.0 0.54688 0.65932 0.51201 0.54745 0.48841 0.46564 0.52133 0.49004 0.48489 0.58948 0.51458 0.6233 0.59822 0.5701 0.53237 0.25061 0.47074 0.54407 0.5349

View file

@ -0,0 +1,102 @@
t,H,X,Kp,Ko,F,G,N,Q,P,E,S,A,Ystar,B,V,Vsel,sigma,VFAC,VFAC01
0.0,0.5,0.4,0.5,0.05,0.4,0.5,0.5,0.5,0.4,0.5,0.5,0.5,0.37123,0.8286,0.33894,0.17012,0.50193,0.49774,0.49746
1.0,0.51519,0.39531,0.49739,0.11778,0.40867,0.50927,0.50264,0.50205,0.38724,0.51263,0.5163,0.53452,0.39851,0.81315,0.36471,0.18589,0.50968,0.5084,0.50522
2.0,0.52753,0.39133,0.49674,0.18357,0.41712,0.51613,0.50601,0.50328,0.37958,0.52342,0.5311,0.56305,0.42622,0.79815,0.38742,0.19946,0.51484,0.51691,0.51142
3.0,0.53726,0.38784,0.49758,0.24607,0.42532,0.52078,0.50941,0.50369,0.3764,0.53246,0.54409,0.58614,0.4533,0.7839,0.40673,0.21061,0.5178,0.52341,0.51606
4.0,0.54465,0.38465,0.49944,0.30425,0.43324,0.52345,0.51227,0.50332,0.37701,0.53989,0.55509,0.6044,0.47888,0.77063,0.42245,0.21923,0.51894,0.52802,0.51918
5.0,0.55,0.38162,0.5019,0.35738,0.44082,0.52439,0.51417,0.50221,0.38069,0.54588,0.56406,0.61843,0.50234,0.75852,0.43456,0.22535,0.51858,0.53092,0.52089
6.0,0.5536,0.3786,0.50459,0.40508,0.44801,0.52387,0.51485,0.50047,0.38672,0.55058,0.57103,0.62885,0.52332,0.74764,0.4432,0.22915,0.51703,0.53229,0.52131
7.0,0.55573,0.3755,0.50723,0.44724,0.45477,0.52215,0.51416,0.49818,0.39446,0.55417,0.57612,0.63625,0.54165,0.73803,0.44866,0.23087,0.51457,0.53234,0.5206
8.0,0.55668,0.37225,0.50958,0.484,0.46106,0.5195,0.51209,0.49545,0.40334,0.55683,0.57948,0.64117,0.55738,0.72965,0.4513,0.2308,0.51141,0.53127,0.51893
9.0,0.55667,0.36882,0.51149,0.51568,0.46689,0.51616,0.50872,0.49238,0.41287,0.55872,0.58132,0.6441,0.57062,0.72243,0.45153,0.22928,0.50778,0.52929,0.51646
10.0,0.55593,0.36519,0.51286,0.54268,0.47224,0.51233,0.50418,0.48908,0.42268,0.55998,0.58182,0.64546,0.58161,0.71627,0.44978,0.22661,0.50382,0.5266,0.51337
11.0,0.55462,0.36136,0.51364,0.56546,0.47711,0.5082,0.49863,0.48563,0.43246,0.56076,0.58121,0.64564,0.59058,0.71107,0.44646,0.22308,0.49967,0.52335,0.5098
12.0,0.55291,0.35738,0.51382,0.58453,0.48154,0.50392,0.49226,0.48211,0.44199,0.56117,0.57967,0.64493,0.5978,0.70673,0.44194,0.21896,0.49545,0.51972,0.50588
13.0,0.55091,0.35325,0.51341,0.60034,0.48553,0.4996,0.48524,0.47857,0.45112,0.5613,0.5774,0.64358,0.6035,0.70312,0.43655,0.21445,0.49124,0.51582,0.50174
14.0,0.54873,0.34903,0.51243,0.61336,0.48912,0.49536,0.47774,0.47508,0.45975,0.56125,0.57457,0.6418,0.60794,0.70015,0.43056,0.20973,0.48711,0.51176,0.49748
15.0,0.54644,0.34475,0.51094,0.62397,0.49233,0.49125,0.46993,0.47166,0.46781,0.56107,0.57132,0.63976,0.6113,0.69774,0.42419,0.20493,0.48311,0.50764,0.49317
16.0,0.54411,0.34046,0.50899,0.63254,0.49519,0.48732,0.46192,0.46835,0.47528,0.56082,0.56779,0.63758,0.61376,0.69578,0.41764,0.20016,0.47927,0.50352,0.48888
17.0,0.54178,0.33618,0.50662,0.6394,0.49773,0.48362,0.45385,0.46517,0.48216,0.56056,0.5641,0.63535,0.6155,0.69422,0.41105,0.1955,0.47561,0.49947,0.48467
18.0,0.5395,0.33195,0.5039,0.64481,0.49998,0.48016,0.44581,0.46214,0.48845,0.5603,0.56032,0.63315,0.61663,0.69298,0.40452,0.191,0.47217,0.49553,0.48058
19.0,0.53728,0.3278,0.50087,0.64901,0.50196,0.47695,0.43788,0.45927,0.49417,0.56007,0.55655,0.63102,0.61728,0.69202,0.39814,0.1867,0.46893,0.49173,0.47663
20.0,0.53515,0.32375,0.4976,0.65222,0.5037,0.474,0.43012,0.45655,0.49936,0.55991,0.55283,0.62902,0.61753,0.69129,0.39197,0.18262,0.46591,0.48808,0.47285
21.0,0.53313,0.31983,0.49412,0.65459,0.50522,0.4713,0.42259,0.454,0.50405,0.5598,0.54923,0.62714,0.61746,0.69075,0.38605,0.17878,0.46311,0.48462,0.46925
22.0,0.53121,0.31605,0.49048,0.65629,0.50655,0.46884,0.41532,0.4516,0.50827,0.55977,0.54576,0.62542,0.61715,0.69037,0.3804,0.17518,0.46051,0.48135,0.46585
23.0,0.52942,0.31242,0.48672,0.65743,0.5077,0.46661,0.40834,0.44937,0.51206,0.55982,0.54247,0.62386,0.61665,0.69011,0.37506,0.17182,0.45812,0.47826,0.46263
24.0,0.52773,0.30895,0.48289,0.65811,0.5087,0.46459,0.40168,0.44728,0.51546,0.55995,0.53935,0.62246,0.616,0.68995,0.37001,0.1687,0.45592,0.47537,0.45962
25.0,0.52617,0.30565,0.479,0.65843,0.50957,0.46278,0.39533,0.44534,0.5185,0.56016,0.53644,0.62121,0.61525,0.68988,0.36527,0.1658,0.45391,0.47267,0.4568
26.0,0.52473,0.30252,0.47509,0.65845,0.5103,0.46115,0.38932,0.44354,0.52121,0.56045,0.53372,0.62011,0.61442,0.68987,0.36083,0.16312,0.45208,0.47016,0.45417
27.0,0.52339,0.29955,0.47118,0.65825,0.51094,0.4597,0.38363,0.44187,0.52362,0.56081,0.53121,0.61915,0.61353,0.68992,0.35669,0.16065,0.4504,0.46783,0.45173
28.0,0.52217,0.29676,0.4673,0.65786,0.51147,0.4584,0.37828,0.44033,0.52576,0.56124,0.52889,0.61833,0.61262,0.69001,0.35282,0.15838,0.44888,0.46568,0.44946
29.0,0.52105,0.29413,0.46347,0.65733,0.51192,0.45724,0.37324,0.4389,0.52766,0.56174,0.52676,0.61762,0.6117,0.69013,0.34923,0.15628,0.44751,0.46369,0.44737
30.0,0.52003,0.29166,0.45969,0.65671,0.5123,0.45622,0.36852,0.43759,0.52934,0.56229,0.52482,0.61703,0.61077,0.69027,0.3459,0.15436,0.44626,0.46186,0.44543
31.0,0.5191,0.28935,0.45599,0.65601,0.51262,0.4553,0.3641,0.43638,0.53083,0.56289,0.52305,0.61653,0.60986,0.69043,0.34282,0.1526,0.44513,0.46018,0.44365
32.0,0.51825,0.28719,0.45238,0.65526,0.51288,0.4545,0.35998,0.43526,0.53214,0.56354,0.52145,0.61613,0.60897,0.6906,0.33996,0.15098,0.44412,0.45863,0.44202
33.0,0.51749,0.28517,0.44886,0.65447,0.51308,0.45378,0.35614,0.43424,0.53329,0.56423,0.52001,0.61581,0.60811,0.69078,0.33733,0.14951,0.44321,0.45722,0.44052
34.0,0.51681,0.2833,0.44544,0.65368,0.51325,0.45316,0.35256,0.43329,0.53429,0.56496,0.5187,0.61556,0.60728,0.69096,0.3349,0.14816,0.44239,0.45594,0.43915
35.0,0.51619,0.28155,0.44213,0.65288,0.51338,0.4526,0.34924,0.43243,0.53518,0.56571,0.51753,0.61537,0.60649,0.69114,0.33267,0.14692,0.44165,0.45477,0.43789
36.0,0.51564,0.27993,0.43894,0.65208,0.51348,0.45212,0.34617,0.43164,0.53595,0.56649,0.51649,0.61524,0.60573,0.69132,0.33061,0.1458,0.441,0.4537,0.43675
37.0,0.51515,0.27843,0.43586,0.65131,0.51356,0.45169,0.34332,0.43091,0.53662,0.56728,0.51556,0.61516,0.60502,0.6915,0.32872,0.14477,0.44041,0.45273,0.43571
38.0,0.51472,0.27705,0.4329,0.65055,0.51361,0.45132,0.34068,0.43025,0.5372,0.56809,0.51473,0.61511,0.60436,0.69167,0.32699,0.14384,0.43989,0.45186,0.43477
39.0,0.51433,0.27577,0.43006,0.64982,0.51364,0.45099,0.33825,0.42964,0.53771,0.56891,0.51399,0.61511,0.60373,0.69184,0.3254,0.14299,0.43942,0.45107,0.43391
40.0,0.51399,0.27458,0.42734,0.64912,0.51366,0.45071,0.33601,0.42909,0.53814,0.56974,0.51334,0.61513,0.60315,0.692,0.32395,0.14222,0.43901,0.45035,0.43314
41.0,0.51369,0.27349,0.42474,0.64846,0.51366,0.45046,0.33394,0.42858,0.53852,0.57057,0.51277,0.61517,0.6026,0.69215,0.32262,0.14152,0.43864,0.44971,0.43244
42.0,0.51343,0.27249,0.42226,0.64782,0.51366,0.45025,0.33205,0.42812,0.53884,0.57139,0.51226,0.61524,0.6021,0.6923,0.32141,0.14088,0.43832,0.44913,0.43181
43.0,0.5132,0.27157,0.4199,0.64722,0.51364,0.45006,0.3303,0.4277,0.53911,0.57222,0.51182,0.61532,0.60164,0.69243,0.3203,0.1403,0.43803,0.44861,0.43124
44.0,0.513,0.27072,0.41765,0.64666,0.51362,0.4499,0.3287,0.42731,0.53934,0.57303,0.51143,0.61542,0.60122,0.69256,0.31929,0.13978,0.43778,0.44815,0.43073
45.0,0.51282,0.26994,0.41551,0.64612,0.5136,0.44976,0.32724,0.42696,0.53953,0.57384,0.5111,0.61552,0.60084,0.69268,0.31837,0.13931,0.43756,0.44774,0.43027
46.0,0.51267,0.26923,0.41348,0.64563,0.51356,0.44964,0.3259,0.42665,0.53969,0.57463,0.51081,0.61564,0.60049,0.6928,0.31754,0.13888,0.43736,0.44737,0.42987
47.0,0.51255,0.26857,0.41156,0.64516,0.51353,0.44954,0.32467,0.42636,0.53983,0.57541,0.51056,0.61575,0.60017,0.6929,0.31678,0.13849,0.43719,0.44704,0.4295
48.0,0.51244,0.26798,0.40974,0.64473,0.5135,0.44945,0.32355,0.4261,0.53994,0.57617,0.51034,0.61587,0.59988,0.693,0.31609,0.13814,0.43704,0.44675,0.42918
49.0,0.51235,0.26743,0.40802,0.64432,0.51346,0.44938,0.32253,0.42586,0.54003,0.57692,0.51015,0.616,0.59962,0.69309,0.31546,0.13783,0.43691,0.4465,0.42889
50.0,0.51227,0.26693,0.40639,0.64395,0.51343,0.44932,0.3216,0.42565,0.5401,0.57765,0.51,0.61612,0.5994,0.69318,0.31489,0.13755,0.4368,0.44627,0.42864
51.0,0.5122,0.26648,0.40486,0.6436,0.51339,0.44927,0.32076,0.42545,0.54016,0.57836,0.50986,0.61624,0.59919,0.69326,0.31438,0.13729,0.4367,0.44607,0.42841
52.0,0.51215,0.26606,0.40341,0.64328,0.51336,0.44922,0.31999,0.42528,0.5402,0.57905,0.50975,0.61636,0.59901,0.69333,0.31392,0.13706,0.43662,0.4459,0.42821
53.0,0.51211,0.26569,0.40206,0.64299,0.51333,0.44919,0.31929,0.42512,0.54023,0.57972,0.50966,0.61648,0.59885,0.6934,0.3135,0.13686,0.43654,0.44575,0.42804
54.0,0.51208,0.26534,0.40078,0.64272,0.51329,0.44916,0.31866,0.42497,0.54026,0.58037,0.50958,0.61659,0.59872,0.69346,0.31312,0.13667,0.43648,0.44562,0.42789
55.0,0.51205,0.26503,0.39957,0.64247,0.51326,0.44913,0.31808,0.42484,0.54027,0.58099,0.50952,0.6167,0.5986,0.69352,0.31278,0.13651,0.43643,0.4455,0.42776
56.0,0.51203,0.26475,0.39845,0.64224,0.51324,0.44911,0.31756,0.42473,0.54028,0.5816,0.50947,0.61681,0.5985,0.69357,0.31247,0.13636,0.43638,0.44541,0.42764
57.0,0.51202,0.26449,0.39739,0.64203,0.51321,0.4491,0.31709,0.42462,0.54028,0.58218,0.50943,0.61691,0.59841,0.69362,0.3122,0.13622,0.43634,0.44532,0.42755
58.0,0.51201,0.26426,0.3964,0.64183,0.51319,0.44909,0.31667,0.42453,0.54028,0.58274,0.50939,0.61701,0.59834,0.69366,0.31195,0.13611,0.43631,0.44525,0.42746
59.0,0.512,0.26405,0.39547,0.64166,0.51316,0.44908,0.31629,0.42444,0.54028,0.58328,0.50937,0.6171,0.59828,0.6937,0.31173,0.136,0.43628,0.44519,0.42739
60.0,0.512,0.26386,0.3946,0.6415,0.51314,0.44907,0.31594,0.42437,0.54027,0.5838,0.50935,0.61719,0.59824,0.69374,0.31153,0.13591,0.43626,0.44515,0.42733
61.0,0.512,0.26369,0.39379,0.64135,0.51313,0.44907,0.31563,0.4243,0.54026,0.5843,0.50934,0.61727,0.5982,0.69377,0.31135,0.13582,0.43624,0.44511,0.42728
62.0,0.51201,0.26354,0.39303,0.64122,0.51311,0.44907,0.31535,0.42424,0.54024,0.58477,0.50933,0.61735,0.59818,0.6938,0.31119,0.13575,0.43622,0.44507,0.42724
63.0,0.51201,0.2634,0.39232,0.6411,0.5131,0.44906,0.3151,0.42418,0.54023,0.58523,0.50933,0.61742,0.59816,0.69383,0.31105,0.13568,0.43621,0.44505,0.4272
64.0,0.51202,0.26327,0.39166,0.64099,0.51309,0.44907,0.31488,0.42413,0.54022,0.58567,0.50933,0.61749,0.59815,0.69385,0.31092,0.13563,0.4362,0.44503,0.42717
65.0,0.51203,0.26316,0.39104,0.64089,0.51308,0.44907,0.31468,0.42409,0.5402,0.58608,0.50933,0.61756,0.59815,0.69388,0.31081,0.13557,0.4362,0.44501,0.42715
66.0,0.51203,0.26306,0.39047,0.6408,0.51307,0.44907,0.3145,0.42405,0.54018,0.58648,0.50934,0.61762,0.59815,0.6939,0.31071,0.13553,0.43619,0.445,0.42714
67.0,0.51204,0.26296,0.38993,0.64072,0.51306,0.44907,0.31433,0.42401,0.54017,0.58686,0.50935,0.61767,0.59816,0.69392,0.31062,0.13549,0.43619,0.44499,0.42712
68.0,0.51205,0.26288,0.38943,0.64065,0.51305,0.44908,0.31419,0.42398,0.54015,0.58722,0.50935,0.61772,0.59817,0.69393,0.31054,0.13545,0.43618,0.44499,0.42712
69.0,0.51206,0.26281,0.38897,0.64058,0.51305,0.44908,0.31406,0.42395,0.54014,0.58756,0.50936,0.61777,0.59818,0.69395,0.31047,0.13542,0.43618,0.44499,0.42711
70.0,0.51207,0.26274,0.38854,0.64052,0.51305,0.44908,0.31395,0.42393,0.54012,0.58789,0.50937,0.61782,0.5982,0.69396,0.31041,0.1354,0.43618,0.44499,0.42711
71.0,0.51208,0.26268,0.38814,0.64047,0.51304,0.44909,0.31385,0.42391,0.54011,0.58819,0.50938,0.61786,0.59822,0.69397,0.31036,0.13537,0.43618,0.445,0.42711
72.0,0.51209,0.26263,0.38777,0.64042,0.51304,0.44909,0.31376,0.42389,0.54009,0.58849,0.50939,0.6179,0.59825,0.69398,0.31031,0.13535,0.43618,0.445,0.42711
73.0,0.5121,0.26258,0.38742,0.64038,0.51304,0.4491,0.31368,0.42387,0.54008,0.58877,0.5094,0.61793,0.59827,0.69399,0.31027,0.13533,0.43618,0.44501,0.42712
74.0,0.51211,0.26254,0.3871,0.64034,0.51305,0.4491,0.31361,0.42385,0.54007,0.58903,0.50941,0.61797,0.5983,0.694,0.31023,0.13532,0.43619,0.44502,0.42712
75.0,0.51212,0.2625,0.3868,0.64031,0.51305,0.44911,0.31355,0.42384,0.54006,0.58928,0.50942,0.618,0.59833,0.69401,0.3102,0.1353,0.43619,0.44502,0.42713
76.0,0.51213,0.26247,0.38653,0.64027,0.51305,0.44911,0.31349,0.42383,0.54004,0.58952,0.50943,0.61802,0.59836,0.69402,0.31017,0.13529,0.43619,0.44503,0.42714
77.0,0.51214,0.26244,0.38627,0.64025,0.51305,0.44912,0.31344,0.42382,0.54003,0.58974,0.50944,0.61805,0.59839,0.69402,0.31015,0.13528,0.43619,0.44504,0.42714
78.0,0.51215,0.26242,0.38604,0.64022,0.51306,0.44912,0.3134,0.42381,0.54002,0.58995,0.50945,0.61807,0.59842,0.69403,0.31013,0.13527,0.43619,0.44505,0.42715
79.0,0.51216,0.26239,0.38582,0.6402,0.51306,0.44912,0.31336,0.4238,0.54001,0.59015,0.50946,0.61809,0.59845,0.69403,0.31011,0.13527,0.4362,0.44506,0.42716
80.0,0.51216,0.26237,0.38562,0.64018,0.51307,0.44913,0.31333,0.42379,0.54001,0.59034,0.50947,0.61811,0.59848,0.69404,0.31009,0.13526,0.4362,0.44507,0.42717
81.0,0.51217,0.26236,0.38543,0.64016,0.51307,0.44913,0.3133,0.42378,0.54,0.59052,0.50948,0.61813,0.59851,0.69404,0.31008,0.13526,0.4362,0.44508,0.42718
82.0,0.51218,0.26234,0.38526,0.64015,0.51308,0.44914,0.31328,0.42378,0.53999,0.59068,0.50949,0.61815,0.59854,0.69405,0.31007,0.13525,0.4362,0.4451,0.42719
83.0,0.51218,0.26233,0.3851,0.64014,0.51308,0.44914,0.31326,0.42377,0.53998,0.59084,0.5095,0.61816,0.59857,0.69405,0.31006,0.13525,0.43621,0.44511,0.4272
84.0,0.51219,0.26231,0.38495,0.64012,0.51309,0.44914,0.31324,0.42377,0.53998,0.59099,0.5095,0.61818,0.5986,0.69405,0.31005,0.13525,0.43621,0.44512,0.42721
85.0,0.51219,0.2623,0.38481,0.64011,0.51309,0.44915,0.31322,0.42377,0.53997,0.59113,0.50951,0.61819,0.59863,0.69405,0.31004,0.13524,0.43621,0.44513,0.42722
86.0,0.5122,0.26229,0.38469,0.6401,0.5131,0.44915,0.31321,0.42376,0.53996,0.59126,0.50952,0.6182,0.59865,0.69406,0.31004,0.13524,0.43621,0.44514,0.42723
87.0,0.5122,0.26229,0.38457,0.6401,0.5131,0.44915,0.3132,0.42376,0.53996,0.59138,0.50952,0.61821,0.59868,0.69406,0.31003,0.13524,0.43622,0.44514,0.42724
88.0,0.51221,0.26228,0.38446,0.64009,0.51311,0.44915,0.31319,0.42376,0.53995,0.5915,0.50953,0.61822,0.59871,0.69406,0.31003,0.13524,0.43622,0.44515,0.42725
89.0,0.51221,0.26227,0.38436,0.64008,0.51312,0.44916,0.31318,0.42376,0.53995,0.59161,0.50953,0.61823,0.59873,0.69406,0.31003,0.13524,0.43622,0.44516,0.42726
90.0,0.51222,0.26227,0.38427,0.64008,0.51312,0.44916,0.31317,0.42375,0.53995,0.59171,0.50954,0.61823,0.59876,0.69406,0.31002,0.13524,0.43622,0.44517,0.42727
91.0,0.51222,0.26226,0.38419,0.64007,0.51313,0.44916,0.31317,0.42375,0.53994,0.59181,0.50954,0.61824,0.59878,0.69406,0.31002,0.13524,0.43622,0.44518,0.42727
92.0,0.51222,0.26226,0.38411,0.64007,0.51313,0.44916,0.31316,0.42375,0.53994,0.5919,0.50955,0.61825,0.5988,0.69406,0.31002,0.13524,0.43623,0.44519,0.42728
93.0,0.51223,0.26225,0.38404,0.64007,0.51314,0.44917,0.31316,0.42375,0.53994,0.59198,0.50955,0.61825,0.59882,0.69407,0.31002,0.13524,0.43623,0.44519,0.42729
94.0,0.51223,0.26225,0.38398,0.64006,0.51314,0.44917,0.31315,0.42375,0.53993,0.59206,0.50956,0.61826,0.59884,0.69407,0.31002,0.13524,0.43623,0.4452,0.4273
95.0,0.51223,0.26225,0.38391,0.64006,0.51315,0.44917,0.31315,0.42375,0.53993,0.59214,0.50956,0.61826,0.59886,0.69407,0.31002,0.13524,0.43623,0.44521,0.4273
96.0,0.51223,0.26225,0.38386,0.64006,0.51315,0.44917,0.31315,0.42375,0.53993,0.59221,0.50956,0.61826,0.59888,0.69407,0.31002,0.13524,0.43623,0.44521,0.42731
97.0,0.51223,0.26225,0.38381,0.64006,0.51316,0.44917,0.31315,0.42375,0.53993,0.59227,0.50957,0.61827,0.5989,0.69407,0.31002,0.13524,0.43623,0.44522,0.42732
98.0,0.51224,0.26224,0.38376,0.64005,0.51316,0.44918,0.31315,0.42375,0.53992,0.59233,0.50957,0.61827,0.59892,0.69407,0.31002,0.13524,0.43623,0.44523,0.42732
99.0,0.51224,0.26224,0.38372,0.64005,0.51317,0.44918,0.31314,0.42375,0.53992,0.59239,0.50957,0.61827,0.59893,0.69407,0.31002,0.13524,0.43623,0.44523,0.42733
100.0,0.51224,0.26224,0.38368,0.64005,0.51317,0.44918,0.31314,0.42375,0.53992,0.59244,0.50957,0.61828,0.59895,0.69407,0.31002,0.13524,0.43623,0.44524,0.42733
1 t H X Kp Ko F G N Q P E S A Ystar B V Vsel sigma VFAC VFAC01
2 0.0 0.5 0.4 0.5 0.05 0.4 0.5 0.5 0.5 0.4 0.5 0.5 0.5 0.37123 0.8286 0.33894 0.17012 0.50193 0.49774 0.49746
3 1.0 0.51519 0.39531 0.49739 0.11778 0.40867 0.50927 0.50264 0.50205 0.38724 0.51263 0.5163 0.53452 0.39851 0.81315 0.36471 0.18589 0.50968 0.5084 0.50522
4 2.0 0.52753 0.39133 0.49674 0.18357 0.41712 0.51613 0.50601 0.50328 0.37958 0.52342 0.5311 0.56305 0.42622 0.79815 0.38742 0.19946 0.51484 0.51691 0.51142
5 3.0 0.53726 0.38784 0.49758 0.24607 0.42532 0.52078 0.50941 0.50369 0.3764 0.53246 0.54409 0.58614 0.4533 0.7839 0.40673 0.21061 0.5178 0.52341 0.51606
6 4.0 0.54465 0.38465 0.49944 0.30425 0.43324 0.52345 0.51227 0.50332 0.37701 0.53989 0.55509 0.6044 0.47888 0.77063 0.42245 0.21923 0.51894 0.52802 0.51918
7 5.0 0.55 0.38162 0.5019 0.35738 0.44082 0.52439 0.51417 0.50221 0.38069 0.54588 0.56406 0.61843 0.50234 0.75852 0.43456 0.22535 0.51858 0.53092 0.52089
8 6.0 0.5536 0.3786 0.50459 0.40508 0.44801 0.52387 0.51485 0.50047 0.38672 0.55058 0.57103 0.62885 0.52332 0.74764 0.4432 0.22915 0.51703 0.53229 0.52131
9 7.0 0.55573 0.3755 0.50723 0.44724 0.45477 0.52215 0.51416 0.49818 0.39446 0.55417 0.57612 0.63625 0.54165 0.73803 0.44866 0.23087 0.51457 0.53234 0.5206
10 8.0 0.55668 0.37225 0.50958 0.484 0.46106 0.5195 0.51209 0.49545 0.40334 0.55683 0.57948 0.64117 0.55738 0.72965 0.4513 0.2308 0.51141 0.53127 0.51893
11 9.0 0.55667 0.36882 0.51149 0.51568 0.46689 0.51616 0.50872 0.49238 0.41287 0.55872 0.58132 0.6441 0.57062 0.72243 0.45153 0.22928 0.50778 0.52929 0.51646
12 10.0 0.55593 0.36519 0.51286 0.54268 0.47224 0.51233 0.50418 0.48908 0.42268 0.55998 0.58182 0.64546 0.58161 0.71627 0.44978 0.22661 0.50382 0.5266 0.51337
13 11.0 0.55462 0.36136 0.51364 0.56546 0.47711 0.5082 0.49863 0.48563 0.43246 0.56076 0.58121 0.64564 0.59058 0.71107 0.44646 0.22308 0.49967 0.52335 0.5098
14 12.0 0.55291 0.35738 0.51382 0.58453 0.48154 0.50392 0.49226 0.48211 0.44199 0.56117 0.57967 0.64493 0.5978 0.70673 0.44194 0.21896 0.49545 0.51972 0.50588
15 13.0 0.55091 0.35325 0.51341 0.60034 0.48553 0.4996 0.48524 0.47857 0.45112 0.5613 0.5774 0.64358 0.6035 0.70312 0.43655 0.21445 0.49124 0.51582 0.50174
16 14.0 0.54873 0.34903 0.51243 0.61336 0.48912 0.49536 0.47774 0.47508 0.45975 0.56125 0.57457 0.6418 0.60794 0.70015 0.43056 0.20973 0.48711 0.51176 0.49748
17 15.0 0.54644 0.34475 0.51094 0.62397 0.49233 0.49125 0.46993 0.47166 0.46781 0.56107 0.57132 0.63976 0.6113 0.69774 0.42419 0.20493 0.48311 0.50764 0.49317
18 16.0 0.54411 0.34046 0.50899 0.63254 0.49519 0.48732 0.46192 0.46835 0.47528 0.56082 0.56779 0.63758 0.61376 0.69578 0.41764 0.20016 0.47927 0.50352 0.48888
19 17.0 0.54178 0.33618 0.50662 0.6394 0.49773 0.48362 0.45385 0.46517 0.48216 0.56056 0.5641 0.63535 0.6155 0.69422 0.41105 0.1955 0.47561 0.49947 0.48467
20 18.0 0.5395 0.33195 0.5039 0.64481 0.49998 0.48016 0.44581 0.46214 0.48845 0.5603 0.56032 0.63315 0.61663 0.69298 0.40452 0.191 0.47217 0.49553 0.48058
21 19.0 0.53728 0.3278 0.50087 0.64901 0.50196 0.47695 0.43788 0.45927 0.49417 0.56007 0.55655 0.63102 0.61728 0.69202 0.39814 0.1867 0.46893 0.49173 0.47663
22 20.0 0.53515 0.32375 0.4976 0.65222 0.5037 0.474 0.43012 0.45655 0.49936 0.55991 0.55283 0.62902 0.61753 0.69129 0.39197 0.18262 0.46591 0.48808 0.47285
23 21.0 0.53313 0.31983 0.49412 0.65459 0.50522 0.4713 0.42259 0.454 0.50405 0.5598 0.54923 0.62714 0.61746 0.69075 0.38605 0.17878 0.46311 0.48462 0.46925
24 22.0 0.53121 0.31605 0.49048 0.65629 0.50655 0.46884 0.41532 0.4516 0.50827 0.55977 0.54576 0.62542 0.61715 0.69037 0.3804 0.17518 0.46051 0.48135 0.46585
25 23.0 0.52942 0.31242 0.48672 0.65743 0.5077 0.46661 0.40834 0.44937 0.51206 0.55982 0.54247 0.62386 0.61665 0.69011 0.37506 0.17182 0.45812 0.47826 0.46263
26 24.0 0.52773 0.30895 0.48289 0.65811 0.5087 0.46459 0.40168 0.44728 0.51546 0.55995 0.53935 0.62246 0.616 0.68995 0.37001 0.1687 0.45592 0.47537 0.45962
27 25.0 0.52617 0.30565 0.479 0.65843 0.50957 0.46278 0.39533 0.44534 0.5185 0.56016 0.53644 0.62121 0.61525 0.68988 0.36527 0.1658 0.45391 0.47267 0.4568
28 26.0 0.52473 0.30252 0.47509 0.65845 0.5103 0.46115 0.38932 0.44354 0.52121 0.56045 0.53372 0.62011 0.61442 0.68987 0.36083 0.16312 0.45208 0.47016 0.45417
29 27.0 0.52339 0.29955 0.47118 0.65825 0.51094 0.4597 0.38363 0.44187 0.52362 0.56081 0.53121 0.61915 0.61353 0.68992 0.35669 0.16065 0.4504 0.46783 0.45173
30 28.0 0.52217 0.29676 0.4673 0.65786 0.51147 0.4584 0.37828 0.44033 0.52576 0.56124 0.52889 0.61833 0.61262 0.69001 0.35282 0.15838 0.44888 0.46568 0.44946
31 29.0 0.52105 0.29413 0.46347 0.65733 0.51192 0.45724 0.37324 0.4389 0.52766 0.56174 0.52676 0.61762 0.6117 0.69013 0.34923 0.15628 0.44751 0.46369 0.44737
32 30.0 0.52003 0.29166 0.45969 0.65671 0.5123 0.45622 0.36852 0.43759 0.52934 0.56229 0.52482 0.61703 0.61077 0.69027 0.3459 0.15436 0.44626 0.46186 0.44543
33 31.0 0.5191 0.28935 0.45599 0.65601 0.51262 0.4553 0.3641 0.43638 0.53083 0.56289 0.52305 0.61653 0.60986 0.69043 0.34282 0.1526 0.44513 0.46018 0.44365
34 32.0 0.51825 0.28719 0.45238 0.65526 0.51288 0.4545 0.35998 0.43526 0.53214 0.56354 0.52145 0.61613 0.60897 0.6906 0.33996 0.15098 0.44412 0.45863 0.44202
35 33.0 0.51749 0.28517 0.44886 0.65447 0.51308 0.45378 0.35614 0.43424 0.53329 0.56423 0.52001 0.61581 0.60811 0.69078 0.33733 0.14951 0.44321 0.45722 0.44052
36 34.0 0.51681 0.2833 0.44544 0.65368 0.51325 0.45316 0.35256 0.43329 0.53429 0.56496 0.5187 0.61556 0.60728 0.69096 0.3349 0.14816 0.44239 0.45594 0.43915
37 35.0 0.51619 0.28155 0.44213 0.65288 0.51338 0.4526 0.34924 0.43243 0.53518 0.56571 0.51753 0.61537 0.60649 0.69114 0.33267 0.14692 0.44165 0.45477 0.43789
38 36.0 0.51564 0.27993 0.43894 0.65208 0.51348 0.45212 0.34617 0.43164 0.53595 0.56649 0.51649 0.61524 0.60573 0.69132 0.33061 0.1458 0.441 0.4537 0.43675
39 37.0 0.51515 0.27843 0.43586 0.65131 0.51356 0.45169 0.34332 0.43091 0.53662 0.56728 0.51556 0.61516 0.60502 0.6915 0.32872 0.14477 0.44041 0.45273 0.43571
40 38.0 0.51472 0.27705 0.4329 0.65055 0.51361 0.45132 0.34068 0.43025 0.5372 0.56809 0.51473 0.61511 0.60436 0.69167 0.32699 0.14384 0.43989 0.45186 0.43477
41 39.0 0.51433 0.27577 0.43006 0.64982 0.51364 0.45099 0.33825 0.42964 0.53771 0.56891 0.51399 0.61511 0.60373 0.69184 0.3254 0.14299 0.43942 0.45107 0.43391
42 40.0 0.51399 0.27458 0.42734 0.64912 0.51366 0.45071 0.33601 0.42909 0.53814 0.56974 0.51334 0.61513 0.60315 0.692 0.32395 0.14222 0.43901 0.45035 0.43314
43 41.0 0.51369 0.27349 0.42474 0.64846 0.51366 0.45046 0.33394 0.42858 0.53852 0.57057 0.51277 0.61517 0.6026 0.69215 0.32262 0.14152 0.43864 0.44971 0.43244
44 42.0 0.51343 0.27249 0.42226 0.64782 0.51366 0.45025 0.33205 0.42812 0.53884 0.57139 0.51226 0.61524 0.6021 0.6923 0.32141 0.14088 0.43832 0.44913 0.43181
45 43.0 0.5132 0.27157 0.4199 0.64722 0.51364 0.45006 0.3303 0.4277 0.53911 0.57222 0.51182 0.61532 0.60164 0.69243 0.3203 0.1403 0.43803 0.44861 0.43124
46 44.0 0.513 0.27072 0.41765 0.64666 0.51362 0.4499 0.3287 0.42731 0.53934 0.57303 0.51143 0.61542 0.60122 0.69256 0.31929 0.13978 0.43778 0.44815 0.43073
47 45.0 0.51282 0.26994 0.41551 0.64612 0.5136 0.44976 0.32724 0.42696 0.53953 0.57384 0.5111 0.61552 0.60084 0.69268 0.31837 0.13931 0.43756 0.44774 0.43027
48 46.0 0.51267 0.26923 0.41348 0.64563 0.51356 0.44964 0.3259 0.42665 0.53969 0.57463 0.51081 0.61564 0.60049 0.6928 0.31754 0.13888 0.43736 0.44737 0.42987
49 47.0 0.51255 0.26857 0.41156 0.64516 0.51353 0.44954 0.32467 0.42636 0.53983 0.57541 0.51056 0.61575 0.60017 0.6929 0.31678 0.13849 0.43719 0.44704 0.4295
50 48.0 0.51244 0.26798 0.40974 0.64473 0.5135 0.44945 0.32355 0.4261 0.53994 0.57617 0.51034 0.61587 0.59988 0.693 0.31609 0.13814 0.43704 0.44675 0.42918
51 49.0 0.51235 0.26743 0.40802 0.64432 0.51346 0.44938 0.32253 0.42586 0.54003 0.57692 0.51015 0.616 0.59962 0.69309 0.31546 0.13783 0.43691 0.4465 0.42889
52 50.0 0.51227 0.26693 0.40639 0.64395 0.51343 0.44932 0.3216 0.42565 0.5401 0.57765 0.51 0.61612 0.5994 0.69318 0.31489 0.13755 0.4368 0.44627 0.42864
53 51.0 0.5122 0.26648 0.40486 0.6436 0.51339 0.44927 0.32076 0.42545 0.54016 0.57836 0.50986 0.61624 0.59919 0.69326 0.31438 0.13729 0.4367 0.44607 0.42841
54 52.0 0.51215 0.26606 0.40341 0.64328 0.51336 0.44922 0.31999 0.42528 0.5402 0.57905 0.50975 0.61636 0.59901 0.69333 0.31392 0.13706 0.43662 0.4459 0.42821
55 53.0 0.51211 0.26569 0.40206 0.64299 0.51333 0.44919 0.31929 0.42512 0.54023 0.57972 0.50966 0.61648 0.59885 0.6934 0.3135 0.13686 0.43654 0.44575 0.42804
56 54.0 0.51208 0.26534 0.40078 0.64272 0.51329 0.44916 0.31866 0.42497 0.54026 0.58037 0.50958 0.61659 0.59872 0.69346 0.31312 0.13667 0.43648 0.44562 0.42789
57 55.0 0.51205 0.26503 0.39957 0.64247 0.51326 0.44913 0.31808 0.42484 0.54027 0.58099 0.50952 0.6167 0.5986 0.69352 0.31278 0.13651 0.43643 0.4455 0.42776
58 56.0 0.51203 0.26475 0.39845 0.64224 0.51324 0.44911 0.31756 0.42473 0.54028 0.5816 0.50947 0.61681 0.5985 0.69357 0.31247 0.13636 0.43638 0.44541 0.42764
59 57.0 0.51202 0.26449 0.39739 0.64203 0.51321 0.4491 0.31709 0.42462 0.54028 0.58218 0.50943 0.61691 0.59841 0.69362 0.3122 0.13622 0.43634 0.44532 0.42755
60 58.0 0.51201 0.26426 0.3964 0.64183 0.51319 0.44909 0.31667 0.42453 0.54028 0.58274 0.50939 0.61701 0.59834 0.69366 0.31195 0.13611 0.43631 0.44525 0.42746
61 59.0 0.512 0.26405 0.39547 0.64166 0.51316 0.44908 0.31629 0.42444 0.54028 0.58328 0.50937 0.6171 0.59828 0.6937 0.31173 0.136 0.43628 0.44519 0.42739
62 60.0 0.512 0.26386 0.3946 0.6415 0.51314 0.44907 0.31594 0.42437 0.54027 0.5838 0.50935 0.61719 0.59824 0.69374 0.31153 0.13591 0.43626 0.44515 0.42733
63 61.0 0.512 0.26369 0.39379 0.64135 0.51313 0.44907 0.31563 0.4243 0.54026 0.5843 0.50934 0.61727 0.5982 0.69377 0.31135 0.13582 0.43624 0.44511 0.42728
64 62.0 0.51201 0.26354 0.39303 0.64122 0.51311 0.44907 0.31535 0.42424 0.54024 0.58477 0.50933 0.61735 0.59818 0.6938 0.31119 0.13575 0.43622 0.44507 0.42724
65 63.0 0.51201 0.2634 0.39232 0.6411 0.5131 0.44906 0.3151 0.42418 0.54023 0.58523 0.50933 0.61742 0.59816 0.69383 0.31105 0.13568 0.43621 0.44505 0.4272
66 64.0 0.51202 0.26327 0.39166 0.64099 0.51309 0.44907 0.31488 0.42413 0.54022 0.58567 0.50933 0.61749 0.59815 0.69385 0.31092 0.13563 0.4362 0.44503 0.42717
67 65.0 0.51203 0.26316 0.39104 0.64089 0.51308 0.44907 0.31468 0.42409 0.5402 0.58608 0.50933 0.61756 0.59815 0.69388 0.31081 0.13557 0.4362 0.44501 0.42715
68 66.0 0.51203 0.26306 0.39047 0.6408 0.51307 0.44907 0.3145 0.42405 0.54018 0.58648 0.50934 0.61762 0.59815 0.6939 0.31071 0.13553 0.43619 0.445 0.42714
69 67.0 0.51204 0.26296 0.38993 0.64072 0.51306 0.44907 0.31433 0.42401 0.54017 0.58686 0.50935 0.61767 0.59816 0.69392 0.31062 0.13549 0.43619 0.44499 0.42712
70 68.0 0.51205 0.26288 0.38943 0.64065 0.51305 0.44908 0.31419 0.42398 0.54015 0.58722 0.50935 0.61772 0.59817 0.69393 0.31054 0.13545 0.43618 0.44499 0.42712
71 69.0 0.51206 0.26281 0.38897 0.64058 0.51305 0.44908 0.31406 0.42395 0.54014 0.58756 0.50936 0.61777 0.59818 0.69395 0.31047 0.13542 0.43618 0.44499 0.42711
72 70.0 0.51207 0.26274 0.38854 0.64052 0.51305 0.44908 0.31395 0.42393 0.54012 0.58789 0.50937 0.61782 0.5982 0.69396 0.31041 0.1354 0.43618 0.44499 0.42711
73 71.0 0.51208 0.26268 0.38814 0.64047 0.51304 0.44909 0.31385 0.42391 0.54011 0.58819 0.50938 0.61786 0.59822 0.69397 0.31036 0.13537 0.43618 0.445 0.42711
74 72.0 0.51209 0.26263 0.38777 0.64042 0.51304 0.44909 0.31376 0.42389 0.54009 0.58849 0.50939 0.6179 0.59825 0.69398 0.31031 0.13535 0.43618 0.445 0.42711
75 73.0 0.5121 0.26258 0.38742 0.64038 0.51304 0.4491 0.31368 0.42387 0.54008 0.58877 0.5094 0.61793 0.59827 0.69399 0.31027 0.13533 0.43618 0.44501 0.42712
76 74.0 0.51211 0.26254 0.3871 0.64034 0.51305 0.4491 0.31361 0.42385 0.54007 0.58903 0.50941 0.61797 0.5983 0.694 0.31023 0.13532 0.43619 0.44502 0.42712
77 75.0 0.51212 0.2625 0.3868 0.64031 0.51305 0.44911 0.31355 0.42384 0.54006 0.58928 0.50942 0.618 0.59833 0.69401 0.3102 0.1353 0.43619 0.44502 0.42713
78 76.0 0.51213 0.26247 0.38653 0.64027 0.51305 0.44911 0.31349 0.42383 0.54004 0.58952 0.50943 0.61802 0.59836 0.69402 0.31017 0.13529 0.43619 0.44503 0.42714
79 77.0 0.51214 0.26244 0.38627 0.64025 0.51305 0.44912 0.31344 0.42382 0.54003 0.58974 0.50944 0.61805 0.59839 0.69402 0.31015 0.13528 0.43619 0.44504 0.42714
80 78.0 0.51215 0.26242 0.38604 0.64022 0.51306 0.44912 0.3134 0.42381 0.54002 0.58995 0.50945 0.61807 0.59842 0.69403 0.31013 0.13527 0.43619 0.44505 0.42715
81 79.0 0.51216 0.26239 0.38582 0.6402 0.51306 0.44912 0.31336 0.4238 0.54001 0.59015 0.50946 0.61809 0.59845 0.69403 0.31011 0.13527 0.4362 0.44506 0.42716
82 80.0 0.51216 0.26237 0.38562 0.64018 0.51307 0.44913 0.31333 0.42379 0.54001 0.59034 0.50947 0.61811 0.59848 0.69404 0.31009 0.13526 0.4362 0.44507 0.42717
83 81.0 0.51217 0.26236 0.38543 0.64016 0.51307 0.44913 0.3133 0.42378 0.54 0.59052 0.50948 0.61813 0.59851 0.69404 0.31008 0.13526 0.4362 0.44508 0.42718
84 82.0 0.51218 0.26234 0.38526 0.64015 0.51308 0.44914 0.31328 0.42378 0.53999 0.59068 0.50949 0.61815 0.59854 0.69405 0.31007 0.13525 0.4362 0.4451 0.42719
85 83.0 0.51218 0.26233 0.3851 0.64014 0.51308 0.44914 0.31326 0.42377 0.53998 0.59084 0.5095 0.61816 0.59857 0.69405 0.31006 0.13525 0.43621 0.44511 0.4272
86 84.0 0.51219 0.26231 0.38495 0.64012 0.51309 0.44914 0.31324 0.42377 0.53998 0.59099 0.5095 0.61818 0.5986 0.69405 0.31005 0.13525 0.43621 0.44512 0.42721
87 85.0 0.51219 0.2623 0.38481 0.64011 0.51309 0.44915 0.31322 0.42377 0.53997 0.59113 0.50951 0.61819 0.59863 0.69405 0.31004 0.13524 0.43621 0.44513 0.42722
88 86.0 0.5122 0.26229 0.38469 0.6401 0.5131 0.44915 0.31321 0.42376 0.53996 0.59126 0.50952 0.6182 0.59865 0.69406 0.31004 0.13524 0.43621 0.44514 0.42723
89 87.0 0.5122 0.26229 0.38457 0.6401 0.5131 0.44915 0.3132 0.42376 0.53996 0.59138 0.50952 0.61821 0.59868 0.69406 0.31003 0.13524 0.43622 0.44514 0.42724
90 88.0 0.51221 0.26228 0.38446 0.64009 0.51311 0.44915 0.31319 0.42376 0.53995 0.5915 0.50953 0.61822 0.59871 0.69406 0.31003 0.13524 0.43622 0.44515 0.42725
91 89.0 0.51221 0.26227 0.38436 0.64008 0.51312 0.44916 0.31318 0.42376 0.53995 0.59161 0.50953 0.61823 0.59873 0.69406 0.31003 0.13524 0.43622 0.44516 0.42726
92 90.0 0.51222 0.26227 0.38427 0.64008 0.51312 0.44916 0.31317 0.42375 0.53995 0.59171 0.50954 0.61823 0.59876 0.69406 0.31002 0.13524 0.43622 0.44517 0.42727
93 91.0 0.51222 0.26226 0.38419 0.64007 0.51313 0.44916 0.31317 0.42375 0.53994 0.59181 0.50954 0.61824 0.59878 0.69406 0.31002 0.13524 0.43622 0.44518 0.42727
94 92.0 0.51222 0.26226 0.38411 0.64007 0.51313 0.44916 0.31316 0.42375 0.53994 0.5919 0.50955 0.61825 0.5988 0.69406 0.31002 0.13524 0.43623 0.44519 0.42728
95 93.0 0.51223 0.26225 0.38404 0.64007 0.51314 0.44917 0.31316 0.42375 0.53994 0.59198 0.50955 0.61825 0.59882 0.69407 0.31002 0.13524 0.43623 0.44519 0.42729
96 94.0 0.51223 0.26225 0.38398 0.64006 0.51314 0.44917 0.31315 0.42375 0.53993 0.59206 0.50956 0.61826 0.59884 0.69407 0.31002 0.13524 0.43623 0.4452 0.4273
97 95.0 0.51223 0.26225 0.38391 0.64006 0.51315 0.44917 0.31315 0.42375 0.53993 0.59214 0.50956 0.61826 0.59886 0.69407 0.31002 0.13524 0.43623 0.44521 0.4273
98 96.0 0.51223 0.26225 0.38386 0.64006 0.51315 0.44917 0.31315 0.42375 0.53993 0.59221 0.50956 0.61826 0.59888 0.69407 0.31002 0.13524 0.43623 0.44521 0.42731
99 97.0 0.51223 0.26225 0.38381 0.64006 0.51316 0.44917 0.31315 0.42375 0.53993 0.59227 0.50957 0.61827 0.5989 0.69407 0.31002 0.13524 0.43623 0.44522 0.42732
100 98.0 0.51224 0.26224 0.38376 0.64005 0.51316 0.44918 0.31315 0.42375 0.53992 0.59233 0.50957 0.61827 0.59892 0.69407 0.31002 0.13524 0.43623 0.44523 0.42732
101 99.0 0.51224 0.26224 0.38372 0.64005 0.51317 0.44918 0.31314 0.42375 0.53992 0.59239 0.50957 0.61827 0.59893 0.69407 0.31002 0.13524 0.43623 0.44523 0.42733
102 100.0 0.51224 0.26224 0.38368 0.64005 0.51317 0.44918 0.31314 0.42375 0.53992 0.59244 0.50957 0.61828 0.59895 0.69407 0.31002 0.13524 0.43623 0.44524 0.42733

View file

@ -0,0 +1,102 @@
t,H,X,Kp,Ko,F,G,N,Q,P,E,S,A,Ystar,B,V,Vsel,sigma,VFAC,VFAC01
0.0,0.5,0.4,0.5,0.05,0.4,0.5,0.5,0.5,0.4,0.5,0.5,0.5,0.37123,0.85002,0.33894,0.16983,0.50106,0.49774,0.49746
1.0,0.51688,0.41987,0.49805,0.11876,0.42581,0.51218,0.50762,0.50441,0.39162,0.51246,0.5168,0.5285,0.39921,0.83631,0.38149,0.19261,0.50489,0.51214,0.51013
2.0,0.53192,0.43955,0.49902,0.18681,0.44887,0.52358,0.51818,0.51001,0.38526,0.52303,0.5321,0.5496,0.42858,0.82273,0.42409,0.21499,0.50695,0.52523,0.52226
3.0,0.54516,0.45892,0.50253,0.25283,0.4695,0.53413,0.53096,0.51653,0.38071,0.53176,0.54583,0.56401,0.45817,0.80956,0.46625,0.23671,0.50769,0.53703,0.53375
4.0,0.55667,0.47783,0.50816,0.31568,0.48796,0.54378,0.54525,0.52369,0.37772,0.53875,0.55797,0.57254,0.48695,0.79702,0.50745,0.2575,0.50744,0.54754,0.5445
5.0,0.56655,0.49612,0.51549,0.37443,0.50445,0.55251,0.56037,0.53109,0.37606,0.54413,0.56857,0.57611,0.51408,0.7853,0.54706,0.27707,0.50647,0.55675,0.55438
6.0,0.57494,0.51361,0.52407,0.42837,0.51914,0.56032,0.57568,0.53733,0.37551,0.54805,0.57767,0.57563,0.5389,0.77454,0.58402,0.29476,0.50471,0.56454,0.56317
7.0,0.58198,0.53009,0.53343,0.47699,0.53218,0.56726,0.59064,0.54222,0.37586,0.55066,0.58537,0.57198,0.56099,0.76484,0.61773,0.31031,0.50234,0.57097,0.57084
8.0,0.58783,0.54539,0.54317,0.5201,0.54372,0.57335,0.60479,0.54589,0.37691,0.55214,0.59178,0.566,0.58016,0.75624,0.64787,0.32365,0.49956,0.57613,0.5774
9.0,0.59262,0.55938,0.55294,0.55772,0.5539,0.57864,0.61783,0.54849,0.37848,0.55266,0.59702,0.55843,0.59642,0.74873,0.67433,0.33483,0.49653,0.58014,0.58291
10.0,0.5965,0.57199,0.56246,0.59012,0.56283,0.5832,0.62957,0.55018,0.3804,0.55239,0.60121,0.54989,0.60994,0.74227,0.69715,0.34396,0.49338,0.58315,0.58745
11.0,0.5996,0.5832,0.57153,0.61769,0.57064,0.5871,0.63992,0.55113,0.38254,0.55149,0.6045,0.54088,0.62097,0.73677,0.71652,0.35125,0.49022,0.5853,0.5911
12.0,0.60205,0.59303,0.58001,0.64091,0.57744,0.59039,0.64889,0.5515,0.38479,0.55009,0.60699,0.5318,0.62982,0.73214,0.73272,0.35692,0.48711,0.58673,0.59399
13.0,0.60395,0.60155,0.5878,0.66028,0.58335,0.59316,0.65652,0.55144,0.38706,0.54832,0.60882,0.52293,0.63679,0.72827,0.74607,0.36119,0.48413,0.58758,0.5962
14.0,0.60539,0.60885,0.59487,0.67633,0.58847,0.59546,0.66293,0.55106,0.38928,0.54628,0.61008,0.51449,0.64219,0.72507,0.75692,0.3643,0.4813,0.58795,0.59785
15.0,0.60645,0.61504,0.60121,0.68952,0.59288,0.59736,0.66823,0.55046,0.39141,0.54408,0.61088,0.50661,0.64629,0.72244,0.76563,0.36647,0.47866,0.58797,0.59902
16.0,0.60721,0.62022,0.60683,0.7003,0.59668,0.59891,0.67256,0.54974,0.39341,0.54178,0.61131,0.49935,0.64932,0.72029,0.77253,0.36789,0.47621,0.58772,0.59981
17.0,0.60772,0.62452,0.61176,0.70907,0.59994,0.60016,0.67604,0.54895,0.39528,0.53943,0.61144,0.49276,0.6515,0.71854,0.77791,0.36871,0.47398,0.58727,0.60029
18.0,0.60803,0.62805,0.61607,0.71616,0.60273,0.60117,0.6788,0.54814,0.39699,0.5371,0.61134,0.48684,0.653,0.71713,0.78204,0.36908,0.47195,0.58668,0.60052
19.0,0.60819,0.63092,0.61979,0.72186,0.60511,0.60196,0.68096,0.54735,0.39855,0.53481,0.61106,0.48156,0.65397,0.71599,0.78515,0.36911,0.47012,0.586,0.60056
20.0,0.60822,0.63322,0.62298,0.72642,0.60714,0.60258,0.68261,0.54659,0.39996,0.53259,0.61066,0.4769,0.65451,0.71508,0.78743,0.3689,0.46848,0.58528,0.60046
21.0,0.60816,0.63504,0.6257,0.73006,0.60886,0.60306,0.68385,0.54589,0.40123,0.53046,0.61017,0.4728,0.65474,0.71435,0.78907,0.36851,0.46702,0.58453,0.60024
22.0,0.60803,0.63647,0.628,0.73295,0.61032,0.60342,0.68475,0.54524,0.40236,0.52844,0.60962,0.46922,0.65472,0.71378,0.79018,0.36801,0.46573,0.58379,0.59995
23.0,0.60785,0.63757,0.62993,0.73522,0.61155,0.60369,0.68537,0.54466,0.40336,0.52654,0.60904,0.4661,0.65453,0.71332,0.79089,0.36744,0.46459,0.58307,0.59962
24.0,0.60764,0.63839,0.63154,0.737,0.61259,0.60387,0.68578,0.54415,0.40425,0.52475,0.60845,0.46341,0.6542,0.71297,0.79129,0.36683,0.46359,0.58237,0.59924
25.0,0.6074,0.639,0.63287,0.73838,0.61347,0.604,0.68602,0.5437,0.40504,0.52308,0.60786,0.4611,0.65378,0.71269,0.79145,0.36621,0.46272,0.58171,0.59886
26.0,0.60715,0.63943,0.63396,0.73945,0.6142,0.60407,0.68613,0.54332,0.40573,0.52153,0.60729,0.45911,0.6533,0.71248,0.79143,0.3656,0.46195,0.58109,0.59846
27.0,0.60689,0.63971,0.63485,0.74026,0.61481,0.60411,0.68614,0.54298,0.40634,0.5201,0.60674,0.45741,0.65278,0.71232,0.79128,0.36501,0.46129,0.58052,0.59807
28.0,0.60664,0.63988,0.63556,0.74088,0.61532,0.60412,0.68607,0.5427,0.40687,0.51878,0.60621,0.45596,0.65225,0.71219,0.79105,0.36445,0.46072,0.57999,0.5977
29.0,0.60638,0.63997,0.63612,0.74134,0.61574,0.60411,0.68595,0.54247,0.40733,0.51757,0.60572,0.45473,0.65171,0.7121,0.79075,0.36392,0.46022,0.5795,0.59734
30.0,0.60614,0.63999,0.63655,0.74167,0.61609,0.60408,0.68579,0.54227,0.40774,0.51646,0.60526,0.45369,0.65118,0.71204,0.79041,0.36343,0.45979,0.57906,0.59699
31.0,0.60591,0.63996,0.63689,0.74191,0.61637,0.60404,0.6856,0.54211,0.40809,0.51545,0.60484,0.45281,0.65067,0.71199,0.79006,0.36297,0.45943,0.57866,0.59667
32.0,0.60568,0.63989,0.63713,0.74207,0.6166,0.604,0.6854,0.54199,0.4084,0.51453,0.60445,0.45207,0.65017,0.71196,0.7897,0.36256,0.45911,0.57829,0.59637
33.0,0.60548,0.6398,0.63731,0.74218,0.61679,0.60394,0.6852,0.54188,0.40866,0.51369,0.6041,0.45145,0.6497,0.71194,0.78934,0.36218,0.45884,0.57796,0.59609
34.0,0.60528,0.63969,0.63743,0.74224,0.61694,0.60389,0.68499,0.54181,0.4089,0.51292,0.60378,0.45093,0.64926,0.71192,0.78899,0.36184,0.45861,0.57767,0.59583
35.0,0.6051,0.63957,0.6375,0.74227,0.61706,0.60383,0.68479,0.54175,0.40909,0.51223,0.60349,0.45049,0.64884,0.71192,0.78866,0.36153,0.45842,0.5774,0.5956
36.0,0.60493,0.63944,0.63753,0.74228,0.61715,0.60378,0.68459,0.54171,0.40927,0.51161,0.60322,0.45013,0.64845,0.71192,0.78834,0.36126,0.45825,0.57717,0.59539
37.0,0.60478,0.63931,0.63753,0.74227,0.61722,0.60372,0.6844,0.54168,0.40942,0.51104,0.60299,0.44983,0.64809,0.71192,0.78805,0.36101,0.45811,0.57696,0.59519
38.0,0.60464,0.63919,0.63752,0.74225,0.61728,0.60367,0.68423,0.54166,0.40954,0.51053,0.60278,0.44958,0.64776,0.71192,0.78777,0.3608,0.458,0.57677,0.59501
39.0,0.60451,0.63907,0.63748,0.74222,0.61732,0.60362,0.68406,0.54165,0.40965,0.51007,0.60259,0.44938,0.64745,0.71193,0.78752,0.3606,0.4579,0.5766,0.59485
40.0,0.60439,0.63895,0.63743,0.74219,0.61735,0.60357,0.68391,0.54165,0.40975,0.50966,0.60242,0.44921,0.64717,0.71193,0.78729,0.36043,0.45781,0.57646,0.59471
41.0,0.60428,0.63884,0.63737,0.74215,0.61736,0.60353,0.68377,0.54166,0.40983,0.50929,0.60227,0.44907,0.64692,0.71194,0.78709,0.36028,0.45774,0.57633,0.59458
42.0,0.60419,0.63874,0.63731,0.74211,0.61738,0.60349,0.68364,0.54166,0.4099,0.50895,0.60214,0.44896,0.64668,0.71195,0.7869,0.36015,0.45768,0.57621,0.59447
43.0,0.6041,0.63864,0.63724,0.74208,0.61738,0.60345,0.68352,0.54168,0.40996,0.50865,0.60203,0.44887,0.64647,0.71196,0.78673,0.36003,0.45763,0.57611,0.59436
44.0,0.60402,0.63856,0.63717,0.74204,0.61738,0.60342,0.68341,0.54169,0.41001,0.50838,0.60192,0.44879,0.64628,0.71196,0.78658,0.35993,0.45759,0.57602,0.59427
45.0,0.60395,0.63848,0.6371,0.74201,0.61738,0.60338,0.68332,0.54171,0.41006,0.50814,0.60183,0.44873,0.6461,0.71197,0.78644,0.35984,0.45756,0.57594,0.59419
46.0,0.60388,0.6384,0.63703,0.74198,0.61737,0.60336,0.68323,0.54173,0.41009,0.50793,0.60175,0.44869,0.64594,0.71197,0.78632,0.35977,0.45753,0.57587,0.59412
47.0,0.60383,0.63834,0.63696,0.74195,0.61736,0.60333,0.68315,0.54174,0.41013,0.50773,0.60168,0.44865,0.6458,0.71198,0.78621,0.3597,0.45751,0.57581,0.59405
48.0,0.60378,0.63828,0.6369,0.74193,0.61736,0.60331,0.68308,0.54176,0.41015,0.50756,0.60162,0.44862,0.64567,0.71199,0.78611,0.35964,0.45749,0.57575,0.59399
49.0,0.60373,0.63822,0.63684,0.7419,0.61734,0.60328,0.68302,0.54178,0.41018,0.50741,0.60157,0.44859,0.64556,0.71199,0.78603,0.35959,0.45748,0.57571,0.59394
50.0,0.60369,0.63818,0.63678,0.74188,0.61733,0.60327,0.68296,0.5418,0.4102,0.50727,0.60152,0.44857,0.64545,0.71199,0.78595,0.35955,0.45746,0.57566,0.5939
51.0,0.60365,0.63813,0.63673,0.74186,0.61732,0.60325,0.68291,0.54182,0.41021,0.50714,0.60148,0.44856,0.64536,0.712,0.78589,0.35951,0.45745,0.57563,0.59386
52.0,0.60362,0.6381,0.63667,0.74185,0.61731,0.60323,0.68287,0.54183,0.41023,0.50703,0.60144,0.44855,0.64528,0.712,0.78583,0.35947,0.45744,0.5756,0.59382
53.0,0.60359,0.63806,0.63663,0.74183,0.6173,0.60322,0.68283,0.54185,0.41024,0.50694,0.60141,0.44854,0.6452,0.712,0.78578,0.35945,0.45744,0.57557,0.59379
54.0,0.60357,0.63803,0.63658,0.74182,0.61729,0.60321,0.6828,0.54186,0.41025,0.50685,0.60139,0.44853,0.64513,0.71201,0.78574,0.35942,0.45743,0.57554,0.59376
55.0,0.60355,0.63801,0.63654,0.74181,0.61728,0.6032,0.68277,0.54188,0.41026,0.50677,0.60136,0.44853,0.64507,0.71201,0.7857,0.3594,0.45743,0.57552,0.59374
56.0,0.60353,0.63798,0.63651,0.7418,0.61727,0.60319,0.68274,0.54189,0.41026,0.5067,0.60134,0.44852,0.64502,0.71201,0.78566,0.35938,0.45743,0.5755,0.59372
57.0,0.60351,0.63796,0.63647,0.74179,0.61726,0.60318,0.68272,0.5419,0.41027,0.50664,0.60132,0.44852,0.64497,0.71201,0.78563,0.35937,0.45742,0.57549,0.5937
58.0,0.60349,0.63794,0.63644,0.74178,0.61725,0.60317,0.6827,0.54191,0.41027,0.50658,0.60131,0.44852,0.64493,0.71201,0.78561,0.35935,0.45742,0.57547,0.59368
59.0,0.60348,0.63793,0.63641,0.74178,0.61724,0.60316,0.68268,0.54192,0.41028,0.50653,0.6013,0.44852,0.64489,0.71202,0.78559,0.35934,0.45742,0.57546,0.59367
60.0,0.60347,0.63792,0.63639,0.74177,0.61723,0.60316,0.68267,0.54193,0.41028,0.50649,0.60128,0.44852,0.64486,0.71202,0.78557,0.35933,0.45742,0.57545,0.59366
61.0,0.60346,0.6379,0.63637,0.74177,0.61722,0.60315,0.68265,0.54194,0.41029,0.50645,0.60127,0.44852,0.64483,0.71202,0.78555,0.35933,0.45742,0.57544,0.59365
62.0,0.60345,0.63789,0.63634,0.74176,0.61722,0.60315,0.68264,0.54195,0.41029,0.50641,0.60127,0.44852,0.6448,0.71202,0.78554,0.35932,0.45742,0.57543,0.59364
63.0,0.60344,0.63788,0.63633,0.74176,0.61721,0.60314,0.68263,0.54195,0.41029,0.50638,0.60126,0.44852,0.64477,0.71202,0.78552,0.35931,0.45742,0.57543,0.59363
64.0,0.60343,0.63788,0.63631,0.74176,0.6172,0.60314,0.68262,0.54196,0.41029,0.50635,0.60125,0.44852,0.64475,0.71202,0.78551,0.35931,0.45742,0.57542,0.59362
65.0,0.60342,0.63787,0.63629,0.74175,0.6172,0.60314,0.68262,0.54197,0.41029,0.50633,0.60125,0.44852,0.64473,0.71202,0.7855,0.3593,0.45742,0.57541,0.59361
66.0,0.60342,0.63786,0.63628,0.74175,0.61719,0.60313,0.68261,0.54197,0.41029,0.50631,0.60124,0.44852,0.64472,0.71202,0.7855,0.3593,0.45742,0.57541,0.59361
67.0,0.60341,0.63786,0.63627,0.74175,0.61719,0.60313,0.6826,0.54198,0.41029,0.50629,0.60124,0.44852,0.6447,0.71202,0.78549,0.3593,0.45742,0.5754,0.5936
68.0,0.60341,0.63785,0.63626,0.74175,0.61718,0.60313,0.6826,0.54198,0.4103,0.50627,0.60123,0.44852,0.64469,0.71202,0.78548,0.35929,0.45742,0.5754,0.5936
69.0,0.6034,0.63785,0.63625,0.74175,0.61718,0.60313,0.68259,0.54199,0.4103,0.50625,0.60123,0.44852,0.64467,0.71202,0.78548,0.35929,0.45742,0.5754,0.5936
70.0,0.6034,0.63785,0.63624,0.74175,0.61718,0.60312,0.68259,0.54199,0.4103,0.50624,0.60123,0.44852,0.64466,0.71202,0.78547,0.35929,0.45742,0.57539,0.59359
71.0,0.6034,0.63784,0.63623,0.74175,0.61717,0.60312,0.68259,0.54199,0.4103,0.50623,0.60123,0.44852,0.64465,0.71202,0.78547,0.35929,0.45742,0.57539,0.59359
72.0,0.6034,0.63784,0.63622,0.74175,0.61717,0.60312,0.68259,0.54199,0.4103,0.50621,0.60122,0.44852,0.64465,0.71202,0.78547,0.35929,0.45742,0.57539,0.59359
73.0,0.60339,0.63784,0.63622,0.74175,0.61717,0.60312,0.68258,0.542,0.4103,0.5062,0.60122,0.44852,0.64464,0.71202,0.78547,0.35929,0.45742,0.57539,0.59358
74.0,0.60339,0.63784,0.63621,0.74175,0.61716,0.60312,0.68258,0.542,0.4103,0.5062,0.60122,0.44852,0.64463,0.71202,0.78546,0.35929,0.45742,0.57539,0.59358
75.0,0.60339,0.63784,0.63621,0.74175,0.61716,0.60312,0.68258,0.542,0.4103,0.50619,0.60122,0.44852,0.64463,0.71202,0.78546,0.35929,0.45742,0.57538,0.59358
76.0,0.60339,0.63784,0.6362,0.74175,0.61716,0.60312,0.68258,0.542,0.4103,0.50618,0.60122,0.44852,0.64462,0.71202,0.78546,0.35928,0.45742,0.57538,0.59358
77.0,0.60339,0.63783,0.6362,0.74174,0.61716,0.60312,0.68258,0.542,0.4103,0.50617,0.60122,0.44852,0.64462,0.71202,0.78546,0.35928,0.45742,0.57538,0.59358
78.0,0.60339,0.63783,0.6362,0.74174,0.61716,0.60312,0.68258,0.54201,0.4103,0.50617,0.60122,0.44852,0.64461,0.71202,0.78546,0.35928,0.45742,0.57538,0.59358
79.0,0.60338,0.63783,0.63619,0.74174,0.61716,0.60312,0.68257,0.54201,0.4103,0.50616,0.60121,0.44852,0.64461,0.71202,0.78546,0.35928,0.45742,0.57538,0.59358
80.0,0.60338,0.63783,0.63619,0.74174,0.61715,0.60312,0.68257,0.54201,0.4103,0.50616,0.60121,0.44852,0.6446,0.71202,0.78546,0.35928,0.45742,0.57538,0.59358
81.0,0.60338,0.63783,0.63619,0.74174,0.61715,0.60312,0.68257,0.54201,0.4103,0.50616,0.60121,0.44852,0.6446,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
82.0,0.60338,0.63783,0.63619,0.74174,0.61715,0.60312,0.68257,0.54201,0.4103,0.50615,0.60121,0.44852,0.6446,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
83.0,0.60338,0.63783,0.63619,0.74174,0.61715,0.60312,0.68257,0.54201,0.4103,0.50615,0.60121,0.44852,0.6446,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
84.0,0.60338,0.63783,0.63618,0.74174,0.61715,0.60311,0.68257,0.54201,0.4103,0.50615,0.60121,0.44852,0.64459,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
85.0,0.60338,0.63783,0.63618,0.74174,0.61715,0.60311,0.68257,0.54201,0.4103,0.50614,0.60121,0.44852,0.64459,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
86.0,0.60338,0.63783,0.63618,0.74174,0.61715,0.60311,0.68257,0.54201,0.4103,0.50614,0.60121,0.44852,0.64459,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
87.0,0.60338,0.63783,0.63618,0.74174,0.61715,0.60311,0.68257,0.54201,0.4103,0.50614,0.60121,0.44852,0.64459,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
88.0,0.60338,0.63783,0.63618,0.74174,0.61715,0.60311,0.68257,0.54201,0.4103,0.50614,0.60121,0.44852,0.64459,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
89.0,0.60338,0.63783,0.63618,0.74174,0.61715,0.60311,0.68257,0.54201,0.4103,0.50614,0.60121,0.44852,0.64459,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
90.0,0.60338,0.63783,0.63618,0.74174,0.61715,0.60311,0.68257,0.54201,0.4103,0.50613,0.60121,0.44852,0.64459,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
91.0,0.60338,0.63783,0.63618,0.74174,0.61715,0.60311,0.68257,0.54202,0.4103,0.50613,0.60121,0.44852,0.64458,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
92.0,0.60338,0.63783,0.63618,0.74174,0.61715,0.60311,0.68257,0.54202,0.4103,0.50613,0.60121,0.44852,0.64458,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
93.0,0.60338,0.63783,0.63618,0.74174,0.61715,0.60311,0.68257,0.54202,0.4103,0.50613,0.60121,0.44852,0.64458,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
94.0,0.60338,0.63783,0.63618,0.74175,0.61714,0.60311,0.68257,0.54202,0.4103,0.50613,0.60121,0.44852,0.64458,0.71202,0.78545,0.35928,0.45742,0.57538,0.59357
95.0,0.60338,0.63783,0.63618,0.74175,0.61714,0.60311,0.68257,0.54202,0.4103,0.50613,0.60121,0.44852,0.64458,0.71202,0.78545,0.35928,0.45742,0.57537,0.59357
96.0,0.60338,0.63783,0.63618,0.74175,0.61714,0.60311,0.68257,0.54202,0.4103,0.50613,0.60121,0.44852,0.64458,0.71202,0.78545,0.35928,0.45742,0.57537,0.59357
97.0,0.60338,0.63783,0.63617,0.74175,0.61714,0.60311,0.68257,0.54202,0.4103,0.50613,0.60121,0.44852,0.64458,0.71202,0.78545,0.35928,0.45742,0.57537,0.59357
98.0,0.60338,0.63783,0.63617,0.74175,0.61714,0.60311,0.68257,0.54202,0.4103,0.50613,0.60121,0.44852,0.64458,0.71202,0.78545,0.35928,0.45742,0.57537,0.59357
99.0,0.60338,0.63783,0.63617,0.74175,0.61714,0.60311,0.68257,0.54202,0.4103,0.50613,0.60121,0.44852,0.64458,0.71202,0.78545,0.35928,0.45742,0.57537,0.59357
100.0,0.60338,0.63783,0.63617,0.74175,0.61714,0.60311,0.68257,0.54202,0.4103,0.50613,0.60121,0.44852,0.64458,0.71202,0.78545,0.35928,0.45742,0.57537,0.59357
1 t H X Kp Ko F G N Q P E S A Ystar B V Vsel sigma VFAC VFAC01
2 0.0 0.5 0.4 0.5 0.05 0.4 0.5 0.5 0.5 0.4 0.5 0.5 0.5 0.37123 0.85002 0.33894 0.16983 0.50106 0.49774 0.49746
3 1.0 0.51688 0.41987 0.49805 0.11876 0.42581 0.51218 0.50762 0.50441 0.39162 0.51246 0.5168 0.5285 0.39921 0.83631 0.38149 0.19261 0.50489 0.51214 0.51013
4 2.0 0.53192 0.43955 0.49902 0.18681 0.44887 0.52358 0.51818 0.51001 0.38526 0.52303 0.5321 0.5496 0.42858 0.82273 0.42409 0.21499 0.50695 0.52523 0.52226
5 3.0 0.54516 0.45892 0.50253 0.25283 0.4695 0.53413 0.53096 0.51653 0.38071 0.53176 0.54583 0.56401 0.45817 0.80956 0.46625 0.23671 0.50769 0.53703 0.53375
6 4.0 0.55667 0.47783 0.50816 0.31568 0.48796 0.54378 0.54525 0.52369 0.37772 0.53875 0.55797 0.57254 0.48695 0.79702 0.50745 0.2575 0.50744 0.54754 0.5445
7 5.0 0.56655 0.49612 0.51549 0.37443 0.50445 0.55251 0.56037 0.53109 0.37606 0.54413 0.56857 0.57611 0.51408 0.7853 0.54706 0.27707 0.50647 0.55675 0.55438
8 6.0 0.57494 0.51361 0.52407 0.42837 0.51914 0.56032 0.57568 0.53733 0.37551 0.54805 0.57767 0.57563 0.5389 0.77454 0.58402 0.29476 0.50471 0.56454 0.56317
9 7.0 0.58198 0.53009 0.53343 0.47699 0.53218 0.56726 0.59064 0.54222 0.37586 0.55066 0.58537 0.57198 0.56099 0.76484 0.61773 0.31031 0.50234 0.57097 0.57084
10 8.0 0.58783 0.54539 0.54317 0.5201 0.54372 0.57335 0.60479 0.54589 0.37691 0.55214 0.59178 0.566 0.58016 0.75624 0.64787 0.32365 0.49956 0.57613 0.5774
11 9.0 0.59262 0.55938 0.55294 0.55772 0.5539 0.57864 0.61783 0.54849 0.37848 0.55266 0.59702 0.55843 0.59642 0.74873 0.67433 0.33483 0.49653 0.58014 0.58291
12 10.0 0.5965 0.57199 0.56246 0.59012 0.56283 0.5832 0.62957 0.55018 0.3804 0.55239 0.60121 0.54989 0.60994 0.74227 0.69715 0.34396 0.49338 0.58315 0.58745
13 11.0 0.5996 0.5832 0.57153 0.61769 0.57064 0.5871 0.63992 0.55113 0.38254 0.55149 0.6045 0.54088 0.62097 0.73677 0.71652 0.35125 0.49022 0.5853 0.5911
14 12.0 0.60205 0.59303 0.58001 0.64091 0.57744 0.59039 0.64889 0.5515 0.38479 0.55009 0.60699 0.5318 0.62982 0.73214 0.73272 0.35692 0.48711 0.58673 0.59399
15 13.0 0.60395 0.60155 0.5878 0.66028 0.58335 0.59316 0.65652 0.55144 0.38706 0.54832 0.60882 0.52293 0.63679 0.72827 0.74607 0.36119 0.48413 0.58758 0.5962
16 14.0 0.60539 0.60885 0.59487 0.67633 0.58847 0.59546 0.66293 0.55106 0.38928 0.54628 0.61008 0.51449 0.64219 0.72507 0.75692 0.3643 0.4813 0.58795 0.59785
17 15.0 0.60645 0.61504 0.60121 0.68952 0.59288 0.59736 0.66823 0.55046 0.39141 0.54408 0.61088 0.50661 0.64629 0.72244 0.76563 0.36647 0.47866 0.58797 0.59902
18 16.0 0.60721 0.62022 0.60683 0.7003 0.59668 0.59891 0.67256 0.54974 0.39341 0.54178 0.61131 0.49935 0.64932 0.72029 0.77253 0.36789 0.47621 0.58772 0.59981
19 17.0 0.60772 0.62452 0.61176 0.70907 0.59994 0.60016 0.67604 0.54895 0.39528 0.53943 0.61144 0.49276 0.6515 0.71854 0.77791 0.36871 0.47398 0.58727 0.60029
20 18.0 0.60803 0.62805 0.61607 0.71616 0.60273 0.60117 0.6788 0.54814 0.39699 0.5371 0.61134 0.48684 0.653 0.71713 0.78204 0.36908 0.47195 0.58668 0.60052
21 19.0 0.60819 0.63092 0.61979 0.72186 0.60511 0.60196 0.68096 0.54735 0.39855 0.53481 0.61106 0.48156 0.65397 0.71599 0.78515 0.36911 0.47012 0.586 0.60056
22 20.0 0.60822 0.63322 0.62298 0.72642 0.60714 0.60258 0.68261 0.54659 0.39996 0.53259 0.61066 0.4769 0.65451 0.71508 0.78743 0.3689 0.46848 0.58528 0.60046
23 21.0 0.60816 0.63504 0.6257 0.73006 0.60886 0.60306 0.68385 0.54589 0.40123 0.53046 0.61017 0.4728 0.65474 0.71435 0.78907 0.36851 0.46702 0.58453 0.60024
24 22.0 0.60803 0.63647 0.628 0.73295 0.61032 0.60342 0.68475 0.54524 0.40236 0.52844 0.60962 0.46922 0.65472 0.71378 0.79018 0.36801 0.46573 0.58379 0.59995
25 23.0 0.60785 0.63757 0.62993 0.73522 0.61155 0.60369 0.68537 0.54466 0.40336 0.52654 0.60904 0.4661 0.65453 0.71332 0.79089 0.36744 0.46459 0.58307 0.59962
26 24.0 0.60764 0.63839 0.63154 0.737 0.61259 0.60387 0.68578 0.54415 0.40425 0.52475 0.60845 0.46341 0.6542 0.71297 0.79129 0.36683 0.46359 0.58237 0.59924
27 25.0 0.6074 0.639 0.63287 0.73838 0.61347 0.604 0.68602 0.5437 0.40504 0.52308 0.60786 0.4611 0.65378 0.71269 0.79145 0.36621 0.46272 0.58171 0.59886
28 26.0 0.60715 0.63943 0.63396 0.73945 0.6142 0.60407 0.68613 0.54332 0.40573 0.52153 0.60729 0.45911 0.6533 0.71248 0.79143 0.3656 0.46195 0.58109 0.59846
29 27.0 0.60689 0.63971 0.63485 0.74026 0.61481 0.60411 0.68614 0.54298 0.40634 0.5201 0.60674 0.45741 0.65278 0.71232 0.79128 0.36501 0.46129 0.58052 0.59807
30 28.0 0.60664 0.63988 0.63556 0.74088 0.61532 0.60412 0.68607 0.5427 0.40687 0.51878 0.60621 0.45596 0.65225 0.71219 0.79105 0.36445 0.46072 0.57999 0.5977
31 29.0 0.60638 0.63997 0.63612 0.74134 0.61574 0.60411 0.68595 0.54247 0.40733 0.51757 0.60572 0.45473 0.65171 0.7121 0.79075 0.36392 0.46022 0.5795 0.59734
32 30.0 0.60614 0.63999 0.63655 0.74167 0.61609 0.60408 0.68579 0.54227 0.40774 0.51646 0.60526 0.45369 0.65118 0.71204 0.79041 0.36343 0.45979 0.57906 0.59699
33 31.0 0.60591 0.63996 0.63689 0.74191 0.61637 0.60404 0.6856 0.54211 0.40809 0.51545 0.60484 0.45281 0.65067 0.71199 0.79006 0.36297 0.45943 0.57866 0.59667
34 32.0 0.60568 0.63989 0.63713 0.74207 0.6166 0.604 0.6854 0.54199 0.4084 0.51453 0.60445 0.45207 0.65017 0.71196 0.7897 0.36256 0.45911 0.57829 0.59637
35 33.0 0.60548 0.6398 0.63731 0.74218 0.61679 0.60394 0.6852 0.54188 0.40866 0.51369 0.6041 0.45145 0.6497 0.71194 0.78934 0.36218 0.45884 0.57796 0.59609
36 34.0 0.60528 0.63969 0.63743 0.74224 0.61694 0.60389 0.68499 0.54181 0.4089 0.51292 0.60378 0.45093 0.64926 0.71192 0.78899 0.36184 0.45861 0.57767 0.59583
37 35.0 0.6051 0.63957 0.6375 0.74227 0.61706 0.60383 0.68479 0.54175 0.40909 0.51223 0.60349 0.45049 0.64884 0.71192 0.78866 0.36153 0.45842 0.5774 0.5956
38 36.0 0.60493 0.63944 0.63753 0.74228 0.61715 0.60378 0.68459 0.54171 0.40927 0.51161 0.60322 0.45013 0.64845 0.71192 0.78834 0.36126 0.45825 0.57717 0.59539
39 37.0 0.60478 0.63931 0.63753 0.74227 0.61722 0.60372 0.6844 0.54168 0.40942 0.51104 0.60299 0.44983 0.64809 0.71192 0.78805 0.36101 0.45811 0.57696 0.59519
40 38.0 0.60464 0.63919 0.63752 0.74225 0.61728 0.60367 0.68423 0.54166 0.40954 0.51053 0.60278 0.44958 0.64776 0.71192 0.78777 0.3608 0.458 0.57677 0.59501
41 39.0 0.60451 0.63907 0.63748 0.74222 0.61732 0.60362 0.68406 0.54165 0.40965 0.51007 0.60259 0.44938 0.64745 0.71193 0.78752 0.3606 0.4579 0.5766 0.59485
42 40.0 0.60439 0.63895 0.63743 0.74219 0.61735 0.60357 0.68391 0.54165 0.40975 0.50966 0.60242 0.44921 0.64717 0.71193 0.78729 0.36043 0.45781 0.57646 0.59471
43 41.0 0.60428 0.63884 0.63737 0.74215 0.61736 0.60353 0.68377 0.54166 0.40983 0.50929 0.60227 0.44907 0.64692 0.71194 0.78709 0.36028 0.45774 0.57633 0.59458
44 42.0 0.60419 0.63874 0.63731 0.74211 0.61738 0.60349 0.68364 0.54166 0.4099 0.50895 0.60214 0.44896 0.64668 0.71195 0.7869 0.36015 0.45768 0.57621 0.59447
45 43.0 0.6041 0.63864 0.63724 0.74208 0.61738 0.60345 0.68352 0.54168 0.40996 0.50865 0.60203 0.44887 0.64647 0.71196 0.78673 0.36003 0.45763 0.57611 0.59436
46 44.0 0.60402 0.63856 0.63717 0.74204 0.61738 0.60342 0.68341 0.54169 0.41001 0.50838 0.60192 0.44879 0.64628 0.71196 0.78658 0.35993 0.45759 0.57602 0.59427
47 45.0 0.60395 0.63848 0.6371 0.74201 0.61738 0.60338 0.68332 0.54171 0.41006 0.50814 0.60183 0.44873 0.6461 0.71197 0.78644 0.35984 0.45756 0.57594 0.59419
48 46.0 0.60388 0.6384 0.63703 0.74198 0.61737 0.60336 0.68323 0.54173 0.41009 0.50793 0.60175 0.44869 0.64594 0.71197 0.78632 0.35977 0.45753 0.57587 0.59412
49 47.0 0.60383 0.63834 0.63696 0.74195 0.61736 0.60333 0.68315 0.54174 0.41013 0.50773 0.60168 0.44865 0.6458 0.71198 0.78621 0.3597 0.45751 0.57581 0.59405
50 48.0 0.60378 0.63828 0.6369 0.74193 0.61736 0.60331 0.68308 0.54176 0.41015 0.50756 0.60162 0.44862 0.64567 0.71199 0.78611 0.35964 0.45749 0.57575 0.59399
51 49.0 0.60373 0.63822 0.63684 0.7419 0.61734 0.60328 0.68302 0.54178 0.41018 0.50741 0.60157 0.44859 0.64556 0.71199 0.78603 0.35959 0.45748 0.57571 0.59394
52 50.0 0.60369 0.63818 0.63678 0.74188 0.61733 0.60327 0.68296 0.5418 0.4102 0.50727 0.60152 0.44857 0.64545 0.71199 0.78595 0.35955 0.45746 0.57566 0.5939
53 51.0 0.60365 0.63813 0.63673 0.74186 0.61732 0.60325 0.68291 0.54182 0.41021 0.50714 0.60148 0.44856 0.64536 0.712 0.78589 0.35951 0.45745 0.57563 0.59386
54 52.0 0.60362 0.6381 0.63667 0.74185 0.61731 0.60323 0.68287 0.54183 0.41023 0.50703 0.60144 0.44855 0.64528 0.712 0.78583 0.35947 0.45744 0.5756 0.59382
55 53.0 0.60359 0.63806 0.63663 0.74183 0.6173 0.60322 0.68283 0.54185 0.41024 0.50694 0.60141 0.44854 0.6452 0.712 0.78578 0.35945 0.45744 0.57557 0.59379
56 54.0 0.60357 0.63803 0.63658 0.74182 0.61729 0.60321 0.6828 0.54186 0.41025 0.50685 0.60139 0.44853 0.64513 0.71201 0.78574 0.35942 0.45743 0.57554 0.59376
57 55.0 0.60355 0.63801 0.63654 0.74181 0.61728 0.6032 0.68277 0.54188 0.41026 0.50677 0.60136 0.44853 0.64507 0.71201 0.7857 0.3594 0.45743 0.57552 0.59374
58 56.0 0.60353 0.63798 0.63651 0.7418 0.61727 0.60319 0.68274 0.54189 0.41026 0.5067 0.60134 0.44852 0.64502 0.71201 0.78566 0.35938 0.45743 0.5755 0.59372
59 57.0 0.60351 0.63796 0.63647 0.74179 0.61726 0.60318 0.68272 0.5419 0.41027 0.50664 0.60132 0.44852 0.64497 0.71201 0.78563 0.35937 0.45742 0.57549 0.5937
60 58.0 0.60349 0.63794 0.63644 0.74178 0.61725 0.60317 0.6827 0.54191 0.41027 0.50658 0.60131 0.44852 0.64493 0.71201 0.78561 0.35935 0.45742 0.57547 0.59368
61 59.0 0.60348 0.63793 0.63641 0.74178 0.61724 0.60316 0.68268 0.54192 0.41028 0.50653 0.6013 0.44852 0.64489 0.71202 0.78559 0.35934 0.45742 0.57546 0.59367
62 60.0 0.60347 0.63792 0.63639 0.74177 0.61723 0.60316 0.68267 0.54193 0.41028 0.50649 0.60128 0.44852 0.64486 0.71202 0.78557 0.35933 0.45742 0.57545 0.59366
63 61.0 0.60346 0.6379 0.63637 0.74177 0.61722 0.60315 0.68265 0.54194 0.41029 0.50645 0.60127 0.44852 0.64483 0.71202 0.78555 0.35933 0.45742 0.57544 0.59365
64 62.0 0.60345 0.63789 0.63634 0.74176 0.61722 0.60315 0.68264 0.54195 0.41029 0.50641 0.60127 0.44852 0.6448 0.71202 0.78554 0.35932 0.45742 0.57543 0.59364
65 63.0 0.60344 0.63788 0.63633 0.74176 0.61721 0.60314 0.68263 0.54195 0.41029 0.50638 0.60126 0.44852 0.64477 0.71202 0.78552 0.35931 0.45742 0.57543 0.59363
66 64.0 0.60343 0.63788 0.63631 0.74176 0.6172 0.60314 0.68262 0.54196 0.41029 0.50635 0.60125 0.44852 0.64475 0.71202 0.78551 0.35931 0.45742 0.57542 0.59362
67 65.0 0.60342 0.63787 0.63629 0.74175 0.6172 0.60314 0.68262 0.54197 0.41029 0.50633 0.60125 0.44852 0.64473 0.71202 0.7855 0.3593 0.45742 0.57541 0.59361
68 66.0 0.60342 0.63786 0.63628 0.74175 0.61719 0.60313 0.68261 0.54197 0.41029 0.50631 0.60124 0.44852 0.64472 0.71202 0.7855 0.3593 0.45742 0.57541 0.59361
69 67.0 0.60341 0.63786 0.63627 0.74175 0.61719 0.60313 0.6826 0.54198 0.41029 0.50629 0.60124 0.44852 0.6447 0.71202 0.78549 0.3593 0.45742 0.5754 0.5936
70 68.0 0.60341 0.63785 0.63626 0.74175 0.61718 0.60313 0.6826 0.54198 0.4103 0.50627 0.60123 0.44852 0.64469 0.71202 0.78548 0.35929 0.45742 0.5754 0.5936
71 69.0 0.6034 0.63785 0.63625 0.74175 0.61718 0.60313 0.68259 0.54199 0.4103 0.50625 0.60123 0.44852 0.64467 0.71202 0.78548 0.35929 0.45742 0.5754 0.5936
72 70.0 0.6034 0.63785 0.63624 0.74175 0.61718 0.60312 0.68259 0.54199 0.4103 0.50624 0.60123 0.44852 0.64466 0.71202 0.78547 0.35929 0.45742 0.57539 0.59359
73 71.0 0.6034 0.63784 0.63623 0.74175 0.61717 0.60312 0.68259 0.54199 0.4103 0.50623 0.60123 0.44852 0.64465 0.71202 0.78547 0.35929 0.45742 0.57539 0.59359
74 72.0 0.6034 0.63784 0.63622 0.74175 0.61717 0.60312 0.68259 0.54199 0.4103 0.50621 0.60122 0.44852 0.64465 0.71202 0.78547 0.35929 0.45742 0.57539 0.59359
75 73.0 0.60339 0.63784 0.63622 0.74175 0.61717 0.60312 0.68258 0.542 0.4103 0.5062 0.60122 0.44852 0.64464 0.71202 0.78547 0.35929 0.45742 0.57539 0.59358
76 74.0 0.60339 0.63784 0.63621 0.74175 0.61716 0.60312 0.68258 0.542 0.4103 0.5062 0.60122 0.44852 0.64463 0.71202 0.78546 0.35929 0.45742 0.57539 0.59358
77 75.0 0.60339 0.63784 0.63621 0.74175 0.61716 0.60312 0.68258 0.542 0.4103 0.50619 0.60122 0.44852 0.64463 0.71202 0.78546 0.35929 0.45742 0.57538 0.59358
78 76.0 0.60339 0.63784 0.6362 0.74175 0.61716 0.60312 0.68258 0.542 0.4103 0.50618 0.60122 0.44852 0.64462 0.71202 0.78546 0.35928 0.45742 0.57538 0.59358
79 77.0 0.60339 0.63783 0.6362 0.74174 0.61716 0.60312 0.68258 0.542 0.4103 0.50617 0.60122 0.44852 0.64462 0.71202 0.78546 0.35928 0.45742 0.57538 0.59358
80 78.0 0.60339 0.63783 0.6362 0.74174 0.61716 0.60312 0.68258 0.54201 0.4103 0.50617 0.60122 0.44852 0.64461 0.71202 0.78546 0.35928 0.45742 0.57538 0.59358
81 79.0 0.60338 0.63783 0.63619 0.74174 0.61716 0.60312 0.68257 0.54201 0.4103 0.50616 0.60121 0.44852 0.64461 0.71202 0.78546 0.35928 0.45742 0.57538 0.59358
82 80.0 0.60338 0.63783 0.63619 0.74174 0.61715 0.60312 0.68257 0.54201 0.4103 0.50616 0.60121 0.44852 0.6446 0.71202 0.78546 0.35928 0.45742 0.57538 0.59358
83 81.0 0.60338 0.63783 0.63619 0.74174 0.61715 0.60312 0.68257 0.54201 0.4103 0.50616 0.60121 0.44852 0.6446 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
84 82.0 0.60338 0.63783 0.63619 0.74174 0.61715 0.60312 0.68257 0.54201 0.4103 0.50615 0.60121 0.44852 0.6446 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
85 83.0 0.60338 0.63783 0.63619 0.74174 0.61715 0.60312 0.68257 0.54201 0.4103 0.50615 0.60121 0.44852 0.6446 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
86 84.0 0.60338 0.63783 0.63618 0.74174 0.61715 0.60311 0.68257 0.54201 0.4103 0.50615 0.60121 0.44852 0.64459 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
87 85.0 0.60338 0.63783 0.63618 0.74174 0.61715 0.60311 0.68257 0.54201 0.4103 0.50614 0.60121 0.44852 0.64459 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
88 86.0 0.60338 0.63783 0.63618 0.74174 0.61715 0.60311 0.68257 0.54201 0.4103 0.50614 0.60121 0.44852 0.64459 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
89 87.0 0.60338 0.63783 0.63618 0.74174 0.61715 0.60311 0.68257 0.54201 0.4103 0.50614 0.60121 0.44852 0.64459 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
90 88.0 0.60338 0.63783 0.63618 0.74174 0.61715 0.60311 0.68257 0.54201 0.4103 0.50614 0.60121 0.44852 0.64459 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
91 89.0 0.60338 0.63783 0.63618 0.74174 0.61715 0.60311 0.68257 0.54201 0.4103 0.50614 0.60121 0.44852 0.64459 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
92 90.0 0.60338 0.63783 0.63618 0.74174 0.61715 0.60311 0.68257 0.54201 0.4103 0.50613 0.60121 0.44852 0.64459 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
93 91.0 0.60338 0.63783 0.63618 0.74174 0.61715 0.60311 0.68257 0.54202 0.4103 0.50613 0.60121 0.44852 0.64458 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
94 92.0 0.60338 0.63783 0.63618 0.74174 0.61715 0.60311 0.68257 0.54202 0.4103 0.50613 0.60121 0.44852 0.64458 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
95 93.0 0.60338 0.63783 0.63618 0.74174 0.61715 0.60311 0.68257 0.54202 0.4103 0.50613 0.60121 0.44852 0.64458 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
96 94.0 0.60338 0.63783 0.63618 0.74175 0.61714 0.60311 0.68257 0.54202 0.4103 0.50613 0.60121 0.44852 0.64458 0.71202 0.78545 0.35928 0.45742 0.57538 0.59357
97 95.0 0.60338 0.63783 0.63618 0.74175 0.61714 0.60311 0.68257 0.54202 0.4103 0.50613 0.60121 0.44852 0.64458 0.71202 0.78545 0.35928 0.45742 0.57537 0.59357
98 96.0 0.60338 0.63783 0.63618 0.74175 0.61714 0.60311 0.68257 0.54202 0.4103 0.50613 0.60121 0.44852 0.64458 0.71202 0.78545 0.35928 0.45742 0.57537 0.59357
99 97.0 0.60338 0.63783 0.63617 0.74175 0.61714 0.60311 0.68257 0.54202 0.4103 0.50613 0.60121 0.44852 0.64458 0.71202 0.78545 0.35928 0.45742 0.57537 0.59357
100 98.0 0.60338 0.63783 0.63617 0.74175 0.61714 0.60311 0.68257 0.54202 0.4103 0.50613 0.60121 0.44852 0.64458 0.71202 0.78545 0.35928 0.45742 0.57537 0.59357
101 99.0 0.60338 0.63783 0.63617 0.74175 0.61714 0.60311 0.68257 0.54202 0.4103 0.50613 0.60121 0.44852 0.64458 0.71202 0.78545 0.35928 0.45742 0.57537 0.59357
102 100.0 0.60338 0.63783 0.63617 0.74175 0.61714 0.60311 0.68257 0.54202 0.4103 0.50613 0.60121 0.44852 0.64458 0.71202 0.78545 0.35928 0.45742 0.57537 0.59357

View file

@ -0,0 +1,102 @@
t,H,X,Kp,Ko,F,G,N,Q,P,E,S,A,Ystar,B,V,Vsel,sigma,VFAC,VFAC01
0.0,0.5,0.4,0.5,0.05,0.4,0.5,0.5,0.5,0.4,0.5,0.5,0.5,0.37123,0.85002,0.33894,0.1713,0.50539,0.49774,0.49746
1.0,0.51555,0.41832,0.49851,0.11936,0.42581,0.5102,0.50607,0.50459,0.37813,0.51246,0.5172,0.54014,0.39971,0.83619,0.38358,0.19901,0.51881,0.51394,0.51075
2.0,0.52839,0.43542,0.50048,0.18866,0.4489,0.51851,0.51446,0.51064,0.36297,0.52298,0.53345,0.57529,0.43008,0.82236,0.42609,0.22594,0.53025,0.52827,0.52267
3.0,0.53864,0.45103,0.50538,0.2563,0.46959,0.52485,0.52402,0.5177,0.35398,0.53163,0.54829,0.60589,0.46092,0.80887,0.46553,0.25134,0.53991,0.54065,0.533
4.0,0.54652,0.46494,0.51261,0.32084,0.48813,0.52923,0.53366,0.52535,0.35042,0.53847,0.56138,0.63236,0.49091,0.79599,0.50103,0.27453,0.54794,0.551,0.5416
5.0,0.55229,0.47702,0.52151,0.38109,0.5047,0.53175,0.54246,0.53322,0.35143,0.54366,0.57254,0.65512,0.51898,0.78397,0.53194,0.29495,0.55449,0.55934,0.5484
6.0,0.55623,0.4872,0.53144,0.43614,0.51947,0.53256,0.54976,0.54058,0.35607,0.54734,0.58169,0.67458,0.54436,0.77299,0.55772,0.31208,0.55957,0.56569,0.55337
7.0,0.55864,0.49545,0.54176,0.4854,0.53259,0.53189,0.55513,0.5468,0.36343,0.54969,0.58885,0.69116,0.56658,0.76316,0.57806,0.32557,0.56322,0.57013,0.55657
8.0,0.55982,0.50185,0.55198,0.52864,0.54418,0.53,0.55839,0.55199,0.37266,0.55092,0.59414,0.70521,0.58549,0.75454,0.59326,0.33557,0.56564,0.57288,0.55819
9.0,0.56001,0.50652,0.56168,0.56596,0.55439,0.52715,0.55957,0.5563,0.38299,0.55122,0.59769,0.71709,0.60119,0.74709,0.60385,0.34244,0.56709,0.5742,0.55847
10.0,0.55948,0.50965,0.5706,0.59768,0.56332,0.52359,0.55887,0.55988,0.39383,0.55077,0.59971,0.72712,0.61393,0.74076,0.61051,0.34663,0.56777,0.57435,0.55766
11.0,0.55841,0.51143,0.57857,0.62431,0.57112,0.51956,0.55655,0.56287,0.4047,0.54975,0.60041,0.73558,0.62406,0.73545,0.61396,0.34864,0.56786,0.57357,0.55601
12.0,0.55698,0.5121,0.58553,0.64641,0.57789,0.51525,0.55291,0.56539,0.41523,0.54831,0.6,0.74272,0.63196,0.73104,0.61489,0.34897,0.56753,0.57209,0.55373
13.0,0.55532,0.51187,0.59145,0.66459,0.58375,0.51083,0.54827,0.56754,0.42521,0.54658,0.5987,0.74874,0.638,0.72741,0.61392,0.34803,0.5669,0.57012,0.55102
14.0,0.55353,0.51092,0.59639,0.67941,0.58881,0.50644,0.54291,0.56942,0.43447,0.54467,0.59671,0.75382,0.64252,0.72446,0.61159,0.34621,0.56607,0.56781,0.54804
15.0,0.55169,0.50944,0.6004,0.69141,0.59316,0.50218,0.53708,0.57108,0.44296,0.54266,0.59419,0.75814,0.64582,0.72206,0.60833,0.34379,0.56514,0.56529,0.54493
16.0,0.54986,0.50758,0.60358,0.70106,0.5969,0.49811,0.531,0.57257,0.45064,0.54062,0.59131,0.7618,0.64814,0.72014,0.6045,0.34102,0.56414,0.56269,0.54178
17.0,0.54808,0.50546,0.60602,0.70876,0.60009,0.4943,0.52483,0.57394,0.45753,0.53861,0.5882,0.76491,0.64969,0.7186,0.60036,0.33808,0.56314,0.56007,0.53867
18.0,0.54637,0.5032,0.60781,0.71488,0.60282,0.49075,0.51873,0.5752,0.46366,0.53667,0.58497,0.76758,0.65066,0.71738,0.5961,0.3351,0.56216,0.55751,0.53566
19.0,0.54475,0.50087,0.60904,0.71969,0.60514,0.4875,0.51278,0.57639,0.46908,0.53482,0.5817,0.76987,0.65117,0.71642,0.59187,0.33217,0.56122,0.55504,0.53279
20.0,0.54324,0.49854,0.60979,0.72346,0.60711,0.48454,0.50708,0.5775,0.47386,0.53308,0.57847,0.77184,0.65134,0.71567,0.58779,0.32936,0.56034,0.55269,0.53009
21.0,0.54184,0.49626,0.61016,0.72638,0.60878,0.48186,0.50166,0.57856,0.47804,0.53146,0.57534,0.77354,0.65125,0.71509,0.5839,0.32671,0.55952,0.55049,0.52758
22.0,0.54055,0.49406,0.61019,0.72863,0.61019,0.47946,0.49658,0.57956,0.4817,0.52998,0.57233,0.77503,0.65099,0.71464,0.58026,0.32424,0.55878,0.54845,0.52525
23.0,0.53937,0.49197,0.60996,0.73034,0.61138,0.47731,0.49184,0.58043,0.48488,0.52862,0.56949,0.77632,0.65059,0.7143,0.57685,0.32193,0.55809,0.54657,0.52311
24.0,0.5383,0.49,0.60952,0.73161,0.61238,0.4754,0.48745,0.58106,0.48764,0.5274,0.56682,0.77745,0.65011,0.71404,0.57361,0.31972,0.55739,0.54482,0.52113
25.0,0.53733,0.48815,0.6089,0.73253,0.61322,0.47372,0.4834,0.58147,0.49004,0.5263,0.56434,0.77845,0.64957,0.71386,0.57055,0.31763,0.5567,0.54321,0.51932
26.0,0.53645,0.48642,0.60813,0.73317,0.61393,0.47222,0.47968,0.58172,0.49213,0.52532,0.56206,0.77933,0.649,0.71373,0.56768,0.31565,0.55604,0.54173,0.51765
27.0,0.53565,0.48482,0.60725,0.73358,0.61451,0.47091,0.47628,0.58184,0.49393,0.52445,0.55996,0.78011,0.64842,0.71365,0.56502,0.31381,0.5554,0.54038,0.51614
28.0,0.53495,0.48334,0.6063,0.73381,0.615,0.46977,0.47317,0.58186,0.49549,0.5237,0.55805,0.7808,0.64783,0.7136,0.56255,0.3121,0.5548,0.53916,0.51477
29.0,0.53431,0.48198,0.60528,0.73391,0.6154,0.46876,0.47034,0.5818,0.49684,0.52304,0.55631,0.78143,0.64725,0.71359,0.56028,0.31053,0.55424,0.53805,0.51353
30.0,0.53375,0.48073,0.60422,0.73389,0.61574,0.46788,0.46777,0.58169,0.49801,0.52247,0.55475,0.78199,0.64669,0.71359,0.55819,0.30908,0.55372,0.53705,0.51241
31.0,0.53325,0.47958,0.60315,0.7338,0.61601,0.46712,0.46545,0.58153,0.49902,0.52199,0.55334,0.78249,0.64616,0.71361,0.55628,0.30776,0.55324,0.53616,0.51141
32.0,0.53281,0.47853,0.60207,0.73364,0.61623,0.46646,0.46335,0.58135,0.49989,0.52158,0.55208,0.78295,0.64566,0.71364,0.55454,0.30655,0.5528,0.53535,0.51051
33.0,0.53242,0.47758,0.60099,0.73344,0.61641,0.46589,0.46145,0.58115,0.50063,0.52124,0.55095,0.78336,0.64519,0.71368,0.55296,0.30545,0.55239,0.53464,0.50971
34.0,0.53208,0.47672,0.59994,0.73322,0.61656,0.46539,0.45975,0.58093,0.50128,0.52097,0.54995,0.78374,0.64475,0.71372,0.55154,0.30446,0.55203,0.534,0.50899
35.0,0.53178,0.47594,0.5989,0.73297,0.61667,0.46496,0.45822,0.58072,0.50183,0.52075,0.54906,0.78408,0.64434,0.71377,0.55024,0.30357,0.55169,0.53343,0.50836
36.0,0.53152,0.47523,0.5979,0.73272,0.61677,0.46459,0.45685,0.5805,0.5023,0.52058,0.54828,0.7844,0.64397,0.71382,0.54908,0.30276,0.55139,0.53293,0.5078
37.0,0.53129,0.47459,0.59694,0.73246,0.61684,0.46428,0.45562,0.58029,0.5027,0.52045,0.54759,0.78468,0.64363,0.71387,0.54803,0.30204,0.55113,0.53249,0.5073
38.0,0.5311,0.47402,0.59602,0.73221,0.6169,0.464,0.45452,0.58009,0.50305,0.52036,0.54698,0.78495,0.64332,0.71392,0.5471,0.30139,0.55089,0.5321,0.50686
39.0,0.53093,0.4735,0.59514,0.73197,0.61694,0.46377,0.45355,0.57989,0.50334,0.52031,0.54644,0.78519,0.64305,0.71397,0.54626,0.30081,0.55067,0.53176,0.50648
40.0,0.53078,0.47304,0.59431,0.73173,0.61697,0.46357,0.45268,0.5797,0.50359,0.52028,0.54598,0.78541,0.6428,0.71402,0.54551,0.30029,0.55048,0.53147,0.50614
41.0,0.53066,0.47263,0.59352,0.7315,0.617,0.4634,0.45191,0.57953,0.5038,0.52028,0.54557,0.78562,0.64258,0.71407,0.54484,0.29983,0.55031,0.53121,0.50585
42.0,0.53055,0.47226,0.59278,0.73129,0.61701,0.46326,0.45122,0.57937,0.50398,0.5203,0.54522,0.78581,0.64239,0.71411,0.54424,0.29942,0.55016,0.53098,0.50559
43.0,0.53046,0.47194,0.59209,0.73109,0.61702,0.46313,0.45061,0.57922,0.50413,0.52033,0.54491,0.78598,0.64221,0.71415,0.54372,0.29906,0.55003,0.53079,0.50537
44.0,0.53039,0.47165,0.59144,0.7309,0.61703,0.46303,0.45008,0.57908,0.50426,0.52038,0.54464,0.78615,0.64207,0.71418,0.54325,0.29874,0.54992,0.53062,0.50517
45.0,0.53032,0.47139,0.59083,0.73073,0.61703,0.46294,0.4496,0.57895,0.50437,0.52044,0.54441,0.78629,0.64194,0.71422,0.54284,0.29846,0.54982,0.53047,0.50501
46.0,0.53027,0.47116,0.59027,0.73057,0.61704,0.46287,0.44919,0.57883,0.50446,0.52052,0.54422,0.78643,0.64182,0.71425,0.54247,0.29821,0.54973,0.53035,0.50486
47.0,0.53023,0.47096,0.58975,0.73043,0.61704,0.46281,0.44882,0.57872,0.50453,0.5206,0.54405,0.78656,0.64173,0.71428,0.54215,0.29799,0.54965,0.53024,0.50474
48.0,0.53019,0.47078,0.58926,0.73029,0.61703,0.46275,0.44849,0.57862,0.50459,0.52068,0.5439,0.78668,0.64165,0.71431,0.54187,0.2978,0.54959,0.53015,0.50463
49.0,0.53016,0.47062,0.58882,0.73017,0.61703,0.46271,0.44821,0.57853,0.50464,0.52077,0.54378,0.78678,0.64158,0.71433,0.54162,0.29764,0.54953,0.53008,0.50454
50.0,0.53014,0.47048,0.58841,0.73006,0.61703,0.46267,0.44796,0.57845,0.50468,0.52086,0.54367,0.78688,0.64152,0.71435,0.5414,0.29749,0.54948,0.53001,0.50447
51.0,0.53012,0.47036,0.58803,0.72997,0.61703,0.46264,0.44775,0.57838,0.50472,0.52096,0.54358,0.78697,0.64148,0.71437,0.54121,0.29736,0.54944,0.52996,0.5044
52.0,0.53011,0.47025,0.58769,0.72988,0.61702,0.46262,0.44756,0.57832,0.50474,0.52105,0.5435,0.78706,0.64144,0.71439,0.54105,0.29725,0.5494,0.52991,0.50435
53.0,0.5301,0.47016,0.58737,0.7298,0.61702,0.4626,0.44739,0.57826,0.50476,0.52114,0.54344,0.78713,0.64141,0.71441,0.54091,0.29716,0.54937,0.52988,0.5043
54.0,0.53009,0.47008,0.58708,0.72972,0.61702,0.46258,0.44725,0.5782,0.50478,0.52124,0.54339,0.78721,0.64139,0.71442,0.54078,0.29707,0.54934,0.52985,0.50427
55.0,0.53008,0.47001,0.58682,0.72966,0.61701,0.46257,0.44713,0.57816,0.5048,0.52133,0.54334,0.78727,0.64138,0.71443,0.54067,0.297,0.54932,0.52983,0.50424
56.0,0.53008,0.46995,0.58658,0.7296,0.61701,0.46256,0.44702,0.57812,0.50481,0.52142,0.5433,0.78733,0.64137,0.71444,0.54058,0.29694,0.5493,0.52981,0.50421
57.0,0.53008,0.46989,0.58636,0.72955,0.61701,0.46255,0.44693,0.57808,0.50481,0.5215,0.54327,0.78739,0.64137,0.71445,0.5405,0.29689,0.54929,0.52979,0.50419
58.0,0.53008,0.46985,0.58616,0.72951,0.61701,0.46254,0.44684,0.57805,0.50482,0.52159,0.54325,0.78744,0.64136,0.71446,0.54043,0.29684,0.54927,0.52978,0.50418
59.0,0.53008,0.46981,0.58598,0.72947,0.61701,0.46254,0.44678,0.57802,0.50482,0.52167,0.54323,0.78748,0.64137,0.71447,0.54037,0.2968,0.54926,0.52977,0.50416
60.0,0.53008,0.46977,0.58582,0.72943,0.61701,0.46254,0.44672,0.57799,0.50483,0.52174,0.54321,0.78753,0.64137,0.71448,0.54032,0.29677,0.54925,0.52977,0.50415
61.0,0.53009,0.46974,0.58567,0.7294,0.61701,0.46253,0.44667,0.57797,0.50483,0.52182,0.5432,0.78757,0.64138,0.71448,0.54027,0.29674,0.54925,0.52977,0.50415
62.0,0.53009,0.46972,0.58554,0.72937,0.61701,0.46253,0.44662,0.57795,0.50483,0.52189,0.54319,0.7876,0.64139,0.71449,0.54024,0.29672,0.54924,0.52976,0.50414
63.0,0.53009,0.46969,0.58542,0.72935,0.61701,0.46253,0.44658,0.57793,0.50483,0.52195,0.54318,0.78763,0.6414,0.71449,0.54021,0.2967,0.54924,0.52976,0.50414
64.0,0.53009,0.46968,0.58531,0.72933,0.61701,0.46253,0.44655,0.57791,0.50483,0.52202,0.54317,0.78766,0.64141,0.7145,0.54018,0.29668,0.54923,0.52976,0.50414
65.0,0.5301,0.46966,0.58521,0.72931,0.61701,0.46253,0.44653,0.5779,0.50483,0.52208,0.54317,0.78769,0.64142,0.7145,0.54016,0.29667,0.54923,0.52977,0.50414
66.0,0.5301,0.46965,0.58513,0.72929,0.61701,0.46253,0.4465,0.57789,0.50483,0.52213,0.54316,0.78772,0.64144,0.71451,0.54014,0.29666,0.54923,0.52977,0.50414
67.0,0.53011,0.46964,0.58505,0.72928,0.61701,0.46253,0.44648,0.57788,0.50483,0.52219,0.54316,0.78774,0.64145,0.71451,0.54012,0.29665,0.54923,0.52977,0.50414
68.0,0.53011,0.46963,0.58498,0.72927,0.61701,0.46253,0.44647,0.57787,0.50483,0.52224,0.54316,0.78776,0.64146,0.71451,0.54011,0.29664,0.54923,0.52978,0.50414
69.0,0.53011,0.46962,0.58492,0.72926,0.61701,0.46253,0.44646,0.57786,0.50482,0.52228,0.54316,0.78778,0.64148,0.71451,0.5401,0.29664,0.54923,0.52978,0.50415
70.0,0.53012,0.46961,0.58486,0.72925,0.61702,0.46253,0.44644,0.57786,0.50482,0.52233,0.54316,0.78779,0.64149,0.71451,0.54009,0.29663,0.54923,0.52978,0.50415
71.0,0.53012,0.46961,0.58481,0.72924,0.61702,0.46253,0.44644,0.57785,0.50482,0.52237,0.54316,0.78781,0.6415,0.71452,0.54009,0.29663,0.54923,0.52979,0.50415
72.0,0.53012,0.4696,0.58477,0.72924,0.61702,0.46253,0.44643,0.57784,0.50482,0.52241,0.54316,0.78782,0.64152,0.71452,0.54008,0.29663,0.54923,0.52979,0.50415
73.0,0.53012,0.4696,0.58473,0.72923,0.61702,0.46253,0.44642,0.57784,0.50482,0.52244,0.54316,0.78784,0.64153,0.71452,0.54008,0.29662,0.54923,0.52979,0.50416
74.0,0.53013,0.46959,0.58469,0.72923,0.61702,0.46253,0.44642,0.57784,0.50482,0.52248,0.54316,0.78785,0.64154,0.71452,0.54007,0.29662,0.54923,0.5298,0.50416
75.0,0.53013,0.46959,0.58466,0.72922,0.61702,0.46254,0.44641,0.57783,0.50482,0.52251,0.54316,0.78786,0.64155,0.71452,0.54007,0.29662,0.54923,0.5298,0.50416
76.0,0.53013,0.46959,0.58463,0.72922,0.61703,0.46254,0.44641,0.57783,0.50482,0.52254,0.54316,0.78787,0.64156,0.71452,0.54007,0.29662,0.54923,0.52981,0.50417
77.0,0.53014,0.46959,0.58461,0.72921,0.61703,0.46254,0.44641,0.57783,0.50481,0.52256,0.54317,0.78788,0.64157,0.71452,0.54007,0.29662,0.54923,0.52981,0.50417
78.0,0.53014,0.46959,0.58459,0.72921,0.61703,0.46254,0.4464,0.57783,0.50481,0.52259,0.54317,0.78789,0.64158,0.71452,0.54007,0.29662,0.54923,0.52981,0.50417
79.0,0.53014,0.46959,0.58457,0.72921,0.61703,0.46254,0.4464,0.57782,0.50481,0.52261,0.54317,0.78789,0.64159,0.71452,0.54007,0.29662,0.54923,0.52982,0.50418
80.0,0.53014,0.46959,0.58455,0.72921,0.61703,0.46254,0.4464,0.57782,0.50481,0.52263,0.54317,0.7879,0.6416,0.71452,0.54007,0.29662,0.54923,0.52982,0.50418
81.0,0.53014,0.46959,0.58454,0.72921,0.61703,0.46254,0.4464,0.57782,0.50481,0.52265,0.54317,0.78791,0.64161,0.71452,0.54007,0.29662,0.54923,0.52982,0.50418
82.0,0.53014,0.46959,0.58452,0.72921,0.61704,0.46254,0.4464,0.57782,0.50481,0.52267,0.54317,0.78791,0.64162,0.71452,0.54007,0.29662,0.54923,0.52982,0.50418
83.0,0.53015,0.46959,0.58451,0.72921,0.61704,0.46254,0.4464,0.57782,0.50481,0.52269,0.54317,0.78792,0.64163,0.71452,0.54007,0.29662,0.54923,0.52983,0.50419
84.0,0.53015,0.46959,0.5845,0.7292,0.61704,0.46254,0.4464,0.57782,0.50481,0.5227,0.54317,0.78792,0.64164,0.71452,0.54007,0.29662,0.54923,0.52983,0.50419
85.0,0.53015,0.46959,0.58449,0.7292,0.61704,0.46254,0.4464,0.57782,0.50481,0.52272,0.54318,0.78792,0.64164,0.71452,0.54007,0.29662,0.54923,0.52983,0.50419
86.0,0.53015,0.46959,0.58448,0.7292,0.61704,0.46254,0.4464,0.57782,0.50481,0.52273,0.54318,0.78793,0.64165,0.71452,0.54007,0.29662,0.54924,0.52983,0.50419
87.0,0.53015,0.46959,0.58448,0.7292,0.61704,0.46254,0.4464,0.57782,0.50481,0.52274,0.54318,0.78793,0.64165,0.71452,0.54007,0.29663,0.54924,0.52984,0.50419
88.0,0.53015,0.46959,0.58447,0.7292,0.61704,0.46254,0.4464,0.57782,0.50481,0.52275,0.54318,0.78793,0.64166,0.71452,0.54007,0.29663,0.54924,0.52984,0.5042
89.0,0.53015,0.46959,0.58447,0.7292,0.61704,0.46254,0.4464,0.57782,0.50481,0.52276,0.54318,0.78794,0.64167,0.71452,0.54007,0.29663,0.54924,0.52984,0.5042
90.0,0.53015,0.46959,0.58446,0.7292,0.61705,0.46254,0.4464,0.57782,0.50481,0.52277,0.54318,0.78794,0.64167,0.71452,0.54007,0.29663,0.54924,0.52984,0.5042
91.0,0.53015,0.46959,0.58446,0.7292,0.61705,0.46254,0.4464,0.57782,0.50481,0.52278,0.54318,0.78794,0.64167,0.71452,0.54007,0.29663,0.54924,0.52984,0.5042
92.0,0.53015,0.46959,0.58445,0.7292,0.61705,0.46254,0.4464,0.57782,0.50481,0.52279,0.54318,0.78794,0.64168,0.71452,0.54007,0.29663,0.54924,0.52984,0.5042
93.0,0.53015,0.46959,0.58445,0.7292,0.61705,0.46254,0.4464,0.57782,0.50481,0.5228,0.54318,0.78794,0.64168,0.71452,0.54007,0.29663,0.54924,0.52984,0.5042
94.0,0.53015,0.46959,0.58445,0.7292,0.61705,0.46255,0.4464,0.57782,0.50481,0.5228,0.54318,0.78795,0.64169,0.71452,0.54007,0.29663,0.54924,0.52985,0.5042
95.0,0.53016,0.46959,0.58445,0.7292,0.61705,0.46255,0.4464,0.57782,0.50481,0.52281,0.54318,0.78795,0.64169,0.71452,0.54007,0.29663,0.54924,0.52985,0.5042
96.0,0.53016,0.46959,0.58444,0.7292,0.61705,0.46255,0.4464,0.57782,0.50481,0.52281,0.54318,0.78795,0.64169,0.71452,0.54007,0.29663,0.54924,0.52985,0.50421
97.0,0.53016,0.46959,0.58444,0.7292,0.61705,0.46255,0.4464,0.57782,0.50481,0.52282,0.54318,0.78795,0.64169,0.71452,0.54008,0.29663,0.54924,0.52985,0.50421
98.0,0.53016,0.46959,0.58444,0.7292,0.61705,0.46255,0.44641,0.57782,0.50481,0.52282,0.54318,0.78795,0.6417,0.71452,0.54008,0.29663,0.54924,0.52985,0.50421
99.0,0.53016,0.46959,0.58444,0.7292,0.61705,0.46255,0.44641,0.57782,0.50481,0.52283,0.54318,0.78795,0.6417,0.71452,0.54008,0.29663,0.54924,0.52985,0.50421
100.0,0.53016,0.46959,0.58444,0.7292,0.61705,0.46255,0.44641,0.57782,0.50481,0.52283,0.54318,0.78795,0.6417,0.71452,0.54008,0.29663,0.54924,0.52985,0.50421
1 t H X Kp Ko F G N Q P E S A Ystar B V Vsel sigma VFAC VFAC01
2 0.0 0.5 0.4 0.5 0.05 0.4 0.5 0.5 0.5 0.4 0.5 0.5 0.5 0.37123 0.85002 0.33894 0.1713 0.50539 0.49774 0.49746
3 1.0 0.51555 0.41832 0.49851 0.11936 0.42581 0.5102 0.50607 0.50459 0.37813 0.51246 0.5172 0.54014 0.39971 0.83619 0.38358 0.19901 0.51881 0.51394 0.51075
4 2.0 0.52839 0.43542 0.50048 0.18866 0.4489 0.51851 0.51446 0.51064 0.36297 0.52298 0.53345 0.57529 0.43008 0.82236 0.42609 0.22594 0.53025 0.52827 0.52267
5 3.0 0.53864 0.45103 0.50538 0.2563 0.46959 0.52485 0.52402 0.5177 0.35398 0.53163 0.54829 0.60589 0.46092 0.80887 0.46553 0.25134 0.53991 0.54065 0.533
6 4.0 0.54652 0.46494 0.51261 0.32084 0.48813 0.52923 0.53366 0.52535 0.35042 0.53847 0.56138 0.63236 0.49091 0.79599 0.50103 0.27453 0.54794 0.551 0.5416
7 5.0 0.55229 0.47702 0.52151 0.38109 0.5047 0.53175 0.54246 0.53322 0.35143 0.54366 0.57254 0.65512 0.51898 0.78397 0.53194 0.29495 0.55449 0.55934 0.5484
8 6.0 0.55623 0.4872 0.53144 0.43614 0.51947 0.53256 0.54976 0.54058 0.35607 0.54734 0.58169 0.67458 0.54436 0.77299 0.55772 0.31208 0.55957 0.56569 0.55337
9 7.0 0.55864 0.49545 0.54176 0.4854 0.53259 0.53189 0.55513 0.5468 0.36343 0.54969 0.58885 0.69116 0.56658 0.76316 0.57806 0.32557 0.56322 0.57013 0.55657
10 8.0 0.55982 0.50185 0.55198 0.52864 0.54418 0.53 0.55839 0.55199 0.37266 0.55092 0.59414 0.70521 0.58549 0.75454 0.59326 0.33557 0.56564 0.57288 0.55819
11 9.0 0.56001 0.50652 0.56168 0.56596 0.55439 0.52715 0.55957 0.5563 0.38299 0.55122 0.59769 0.71709 0.60119 0.74709 0.60385 0.34244 0.56709 0.5742 0.55847
12 10.0 0.55948 0.50965 0.5706 0.59768 0.56332 0.52359 0.55887 0.55988 0.39383 0.55077 0.59971 0.72712 0.61393 0.74076 0.61051 0.34663 0.56777 0.57435 0.55766
13 11.0 0.55841 0.51143 0.57857 0.62431 0.57112 0.51956 0.55655 0.56287 0.4047 0.54975 0.60041 0.73558 0.62406 0.73545 0.61396 0.34864 0.56786 0.57357 0.55601
14 12.0 0.55698 0.5121 0.58553 0.64641 0.57789 0.51525 0.55291 0.56539 0.41523 0.54831 0.6 0.74272 0.63196 0.73104 0.61489 0.34897 0.56753 0.57209 0.55373
15 13.0 0.55532 0.51187 0.59145 0.66459 0.58375 0.51083 0.54827 0.56754 0.42521 0.54658 0.5987 0.74874 0.638 0.72741 0.61392 0.34803 0.5669 0.57012 0.55102
16 14.0 0.55353 0.51092 0.59639 0.67941 0.58881 0.50644 0.54291 0.56942 0.43447 0.54467 0.59671 0.75382 0.64252 0.72446 0.61159 0.34621 0.56607 0.56781 0.54804
17 15.0 0.55169 0.50944 0.6004 0.69141 0.59316 0.50218 0.53708 0.57108 0.44296 0.54266 0.59419 0.75814 0.64582 0.72206 0.60833 0.34379 0.56514 0.56529 0.54493
18 16.0 0.54986 0.50758 0.60358 0.70106 0.5969 0.49811 0.531 0.57257 0.45064 0.54062 0.59131 0.7618 0.64814 0.72014 0.6045 0.34102 0.56414 0.56269 0.54178
19 17.0 0.54808 0.50546 0.60602 0.70876 0.60009 0.4943 0.52483 0.57394 0.45753 0.53861 0.5882 0.76491 0.64969 0.7186 0.60036 0.33808 0.56314 0.56007 0.53867
20 18.0 0.54637 0.5032 0.60781 0.71488 0.60282 0.49075 0.51873 0.5752 0.46366 0.53667 0.58497 0.76758 0.65066 0.71738 0.5961 0.3351 0.56216 0.55751 0.53566
21 19.0 0.54475 0.50087 0.60904 0.71969 0.60514 0.4875 0.51278 0.57639 0.46908 0.53482 0.5817 0.76987 0.65117 0.71642 0.59187 0.33217 0.56122 0.55504 0.53279
22 20.0 0.54324 0.49854 0.60979 0.72346 0.60711 0.48454 0.50708 0.5775 0.47386 0.53308 0.57847 0.77184 0.65134 0.71567 0.58779 0.32936 0.56034 0.55269 0.53009
23 21.0 0.54184 0.49626 0.61016 0.72638 0.60878 0.48186 0.50166 0.57856 0.47804 0.53146 0.57534 0.77354 0.65125 0.71509 0.5839 0.32671 0.55952 0.55049 0.52758
24 22.0 0.54055 0.49406 0.61019 0.72863 0.61019 0.47946 0.49658 0.57956 0.4817 0.52998 0.57233 0.77503 0.65099 0.71464 0.58026 0.32424 0.55878 0.54845 0.52525
25 23.0 0.53937 0.49197 0.60996 0.73034 0.61138 0.47731 0.49184 0.58043 0.48488 0.52862 0.56949 0.77632 0.65059 0.7143 0.57685 0.32193 0.55809 0.54657 0.52311
26 24.0 0.5383 0.49 0.60952 0.73161 0.61238 0.4754 0.48745 0.58106 0.48764 0.5274 0.56682 0.77745 0.65011 0.71404 0.57361 0.31972 0.55739 0.54482 0.52113
27 25.0 0.53733 0.48815 0.6089 0.73253 0.61322 0.47372 0.4834 0.58147 0.49004 0.5263 0.56434 0.77845 0.64957 0.71386 0.57055 0.31763 0.5567 0.54321 0.51932
28 26.0 0.53645 0.48642 0.60813 0.73317 0.61393 0.47222 0.47968 0.58172 0.49213 0.52532 0.56206 0.77933 0.649 0.71373 0.56768 0.31565 0.55604 0.54173 0.51765
29 27.0 0.53565 0.48482 0.60725 0.73358 0.61451 0.47091 0.47628 0.58184 0.49393 0.52445 0.55996 0.78011 0.64842 0.71365 0.56502 0.31381 0.5554 0.54038 0.51614
30 28.0 0.53495 0.48334 0.6063 0.73381 0.615 0.46977 0.47317 0.58186 0.49549 0.5237 0.55805 0.7808 0.64783 0.7136 0.56255 0.3121 0.5548 0.53916 0.51477
31 29.0 0.53431 0.48198 0.60528 0.73391 0.6154 0.46876 0.47034 0.5818 0.49684 0.52304 0.55631 0.78143 0.64725 0.71359 0.56028 0.31053 0.55424 0.53805 0.51353
32 30.0 0.53375 0.48073 0.60422 0.73389 0.61574 0.46788 0.46777 0.58169 0.49801 0.52247 0.55475 0.78199 0.64669 0.71359 0.55819 0.30908 0.55372 0.53705 0.51241
33 31.0 0.53325 0.47958 0.60315 0.7338 0.61601 0.46712 0.46545 0.58153 0.49902 0.52199 0.55334 0.78249 0.64616 0.71361 0.55628 0.30776 0.55324 0.53616 0.51141
34 32.0 0.53281 0.47853 0.60207 0.73364 0.61623 0.46646 0.46335 0.58135 0.49989 0.52158 0.55208 0.78295 0.64566 0.71364 0.55454 0.30655 0.5528 0.53535 0.51051
35 33.0 0.53242 0.47758 0.60099 0.73344 0.61641 0.46589 0.46145 0.58115 0.50063 0.52124 0.55095 0.78336 0.64519 0.71368 0.55296 0.30545 0.55239 0.53464 0.50971
36 34.0 0.53208 0.47672 0.59994 0.73322 0.61656 0.46539 0.45975 0.58093 0.50128 0.52097 0.54995 0.78374 0.64475 0.71372 0.55154 0.30446 0.55203 0.534 0.50899
37 35.0 0.53178 0.47594 0.5989 0.73297 0.61667 0.46496 0.45822 0.58072 0.50183 0.52075 0.54906 0.78408 0.64434 0.71377 0.55024 0.30357 0.55169 0.53343 0.50836
38 36.0 0.53152 0.47523 0.5979 0.73272 0.61677 0.46459 0.45685 0.5805 0.5023 0.52058 0.54828 0.7844 0.64397 0.71382 0.54908 0.30276 0.55139 0.53293 0.5078
39 37.0 0.53129 0.47459 0.59694 0.73246 0.61684 0.46428 0.45562 0.58029 0.5027 0.52045 0.54759 0.78468 0.64363 0.71387 0.54803 0.30204 0.55113 0.53249 0.5073
40 38.0 0.5311 0.47402 0.59602 0.73221 0.6169 0.464 0.45452 0.58009 0.50305 0.52036 0.54698 0.78495 0.64332 0.71392 0.5471 0.30139 0.55089 0.5321 0.50686
41 39.0 0.53093 0.4735 0.59514 0.73197 0.61694 0.46377 0.45355 0.57989 0.50334 0.52031 0.54644 0.78519 0.64305 0.71397 0.54626 0.30081 0.55067 0.53176 0.50648
42 40.0 0.53078 0.47304 0.59431 0.73173 0.61697 0.46357 0.45268 0.5797 0.50359 0.52028 0.54598 0.78541 0.6428 0.71402 0.54551 0.30029 0.55048 0.53147 0.50614
43 41.0 0.53066 0.47263 0.59352 0.7315 0.617 0.4634 0.45191 0.57953 0.5038 0.52028 0.54557 0.78562 0.64258 0.71407 0.54484 0.29983 0.55031 0.53121 0.50585
44 42.0 0.53055 0.47226 0.59278 0.73129 0.61701 0.46326 0.45122 0.57937 0.50398 0.5203 0.54522 0.78581 0.64239 0.71411 0.54424 0.29942 0.55016 0.53098 0.50559
45 43.0 0.53046 0.47194 0.59209 0.73109 0.61702 0.46313 0.45061 0.57922 0.50413 0.52033 0.54491 0.78598 0.64221 0.71415 0.54372 0.29906 0.55003 0.53079 0.50537
46 44.0 0.53039 0.47165 0.59144 0.7309 0.61703 0.46303 0.45008 0.57908 0.50426 0.52038 0.54464 0.78615 0.64207 0.71418 0.54325 0.29874 0.54992 0.53062 0.50517
47 45.0 0.53032 0.47139 0.59083 0.73073 0.61703 0.46294 0.4496 0.57895 0.50437 0.52044 0.54441 0.78629 0.64194 0.71422 0.54284 0.29846 0.54982 0.53047 0.50501
48 46.0 0.53027 0.47116 0.59027 0.73057 0.61704 0.46287 0.44919 0.57883 0.50446 0.52052 0.54422 0.78643 0.64182 0.71425 0.54247 0.29821 0.54973 0.53035 0.50486
49 47.0 0.53023 0.47096 0.58975 0.73043 0.61704 0.46281 0.44882 0.57872 0.50453 0.5206 0.54405 0.78656 0.64173 0.71428 0.54215 0.29799 0.54965 0.53024 0.50474
50 48.0 0.53019 0.47078 0.58926 0.73029 0.61703 0.46275 0.44849 0.57862 0.50459 0.52068 0.5439 0.78668 0.64165 0.71431 0.54187 0.2978 0.54959 0.53015 0.50463
51 49.0 0.53016 0.47062 0.58882 0.73017 0.61703 0.46271 0.44821 0.57853 0.50464 0.52077 0.54378 0.78678 0.64158 0.71433 0.54162 0.29764 0.54953 0.53008 0.50454
52 50.0 0.53014 0.47048 0.58841 0.73006 0.61703 0.46267 0.44796 0.57845 0.50468 0.52086 0.54367 0.78688 0.64152 0.71435 0.5414 0.29749 0.54948 0.53001 0.50447
53 51.0 0.53012 0.47036 0.58803 0.72997 0.61703 0.46264 0.44775 0.57838 0.50472 0.52096 0.54358 0.78697 0.64148 0.71437 0.54121 0.29736 0.54944 0.52996 0.5044
54 52.0 0.53011 0.47025 0.58769 0.72988 0.61702 0.46262 0.44756 0.57832 0.50474 0.52105 0.5435 0.78706 0.64144 0.71439 0.54105 0.29725 0.5494 0.52991 0.50435
55 53.0 0.5301 0.47016 0.58737 0.7298 0.61702 0.4626 0.44739 0.57826 0.50476 0.52114 0.54344 0.78713 0.64141 0.71441 0.54091 0.29716 0.54937 0.52988 0.5043
56 54.0 0.53009 0.47008 0.58708 0.72972 0.61702 0.46258 0.44725 0.5782 0.50478 0.52124 0.54339 0.78721 0.64139 0.71442 0.54078 0.29707 0.54934 0.52985 0.50427
57 55.0 0.53008 0.47001 0.58682 0.72966 0.61701 0.46257 0.44713 0.57816 0.5048 0.52133 0.54334 0.78727 0.64138 0.71443 0.54067 0.297 0.54932 0.52983 0.50424
58 56.0 0.53008 0.46995 0.58658 0.7296 0.61701 0.46256 0.44702 0.57812 0.50481 0.52142 0.5433 0.78733 0.64137 0.71444 0.54058 0.29694 0.5493 0.52981 0.50421
59 57.0 0.53008 0.46989 0.58636 0.72955 0.61701 0.46255 0.44693 0.57808 0.50481 0.5215 0.54327 0.78739 0.64137 0.71445 0.5405 0.29689 0.54929 0.52979 0.50419
60 58.0 0.53008 0.46985 0.58616 0.72951 0.61701 0.46254 0.44684 0.57805 0.50482 0.52159 0.54325 0.78744 0.64136 0.71446 0.54043 0.29684 0.54927 0.52978 0.50418
61 59.0 0.53008 0.46981 0.58598 0.72947 0.61701 0.46254 0.44678 0.57802 0.50482 0.52167 0.54323 0.78748 0.64137 0.71447 0.54037 0.2968 0.54926 0.52977 0.50416
62 60.0 0.53008 0.46977 0.58582 0.72943 0.61701 0.46254 0.44672 0.57799 0.50483 0.52174 0.54321 0.78753 0.64137 0.71448 0.54032 0.29677 0.54925 0.52977 0.50415
63 61.0 0.53009 0.46974 0.58567 0.7294 0.61701 0.46253 0.44667 0.57797 0.50483 0.52182 0.5432 0.78757 0.64138 0.71448 0.54027 0.29674 0.54925 0.52977 0.50415
64 62.0 0.53009 0.46972 0.58554 0.72937 0.61701 0.46253 0.44662 0.57795 0.50483 0.52189 0.54319 0.7876 0.64139 0.71449 0.54024 0.29672 0.54924 0.52976 0.50414
65 63.0 0.53009 0.46969 0.58542 0.72935 0.61701 0.46253 0.44658 0.57793 0.50483 0.52195 0.54318 0.78763 0.6414 0.71449 0.54021 0.2967 0.54924 0.52976 0.50414
66 64.0 0.53009 0.46968 0.58531 0.72933 0.61701 0.46253 0.44655 0.57791 0.50483 0.52202 0.54317 0.78766 0.64141 0.7145 0.54018 0.29668 0.54923 0.52976 0.50414
67 65.0 0.5301 0.46966 0.58521 0.72931 0.61701 0.46253 0.44653 0.5779 0.50483 0.52208 0.54317 0.78769 0.64142 0.7145 0.54016 0.29667 0.54923 0.52977 0.50414
68 66.0 0.5301 0.46965 0.58513 0.72929 0.61701 0.46253 0.4465 0.57789 0.50483 0.52213 0.54316 0.78772 0.64144 0.71451 0.54014 0.29666 0.54923 0.52977 0.50414
69 67.0 0.53011 0.46964 0.58505 0.72928 0.61701 0.46253 0.44648 0.57788 0.50483 0.52219 0.54316 0.78774 0.64145 0.71451 0.54012 0.29665 0.54923 0.52977 0.50414
70 68.0 0.53011 0.46963 0.58498 0.72927 0.61701 0.46253 0.44647 0.57787 0.50483 0.52224 0.54316 0.78776 0.64146 0.71451 0.54011 0.29664 0.54923 0.52978 0.50414
71 69.0 0.53011 0.46962 0.58492 0.72926 0.61701 0.46253 0.44646 0.57786 0.50482 0.52228 0.54316 0.78778 0.64148 0.71451 0.5401 0.29664 0.54923 0.52978 0.50415
72 70.0 0.53012 0.46961 0.58486 0.72925 0.61702 0.46253 0.44644 0.57786 0.50482 0.52233 0.54316 0.78779 0.64149 0.71451 0.54009 0.29663 0.54923 0.52978 0.50415
73 71.0 0.53012 0.46961 0.58481 0.72924 0.61702 0.46253 0.44644 0.57785 0.50482 0.52237 0.54316 0.78781 0.6415 0.71452 0.54009 0.29663 0.54923 0.52979 0.50415
74 72.0 0.53012 0.4696 0.58477 0.72924 0.61702 0.46253 0.44643 0.57784 0.50482 0.52241 0.54316 0.78782 0.64152 0.71452 0.54008 0.29663 0.54923 0.52979 0.50415
75 73.0 0.53012 0.4696 0.58473 0.72923 0.61702 0.46253 0.44642 0.57784 0.50482 0.52244 0.54316 0.78784 0.64153 0.71452 0.54008 0.29662 0.54923 0.52979 0.50416
76 74.0 0.53013 0.46959 0.58469 0.72923 0.61702 0.46253 0.44642 0.57784 0.50482 0.52248 0.54316 0.78785 0.64154 0.71452 0.54007 0.29662 0.54923 0.5298 0.50416
77 75.0 0.53013 0.46959 0.58466 0.72922 0.61702 0.46254 0.44641 0.57783 0.50482 0.52251 0.54316 0.78786 0.64155 0.71452 0.54007 0.29662 0.54923 0.5298 0.50416
78 76.0 0.53013 0.46959 0.58463 0.72922 0.61703 0.46254 0.44641 0.57783 0.50482 0.52254 0.54316 0.78787 0.64156 0.71452 0.54007 0.29662 0.54923 0.52981 0.50417
79 77.0 0.53014 0.46959 0.58461 0.72921 0.61703 0.46254 0.44641 0.57783 0.50481 0.52256 0.54317 0.78788 0.64157 0.71452 0.54007 0.29662 0.54923 0.52981 0.50417
80 78.0 0.53014 0.46959 0.58459 0.72921 0.61703 0.46254 0.4464 0.57783 0.50481 0.52259 0.54317 0.78789 0.64158 0.71452 0.54007 0.29662 0.54923 0.52981 0.50417
81 79.0 0.53014 0.46959 0.58457 0.72921 0.61703 0.46254 0.4464 0.57782 0.50481 0.52261 0.54317 0.78789 0.64159 0.71452 0.54007 0.29662 0.54923 0.52982 0.50418
82 80.0 0.53014 0.46959 0.58455 0.72921 0.61703 0.46254 0.4464 0.57782 0.50481 0.52263 0.54317 0.7879 0.6416 0.71452 0.54007 0.29662 0.54923 0.52982 0.50418
83 81.0 0.53014 0.46959 0.58454 0.72921 0.61703 0.46254 0.4464 0.57782 0.50481 0.52265 0.54317 0.78791 0.64161 0.71452 0.54007 0.29662 0.54923 0.52982 0.50418
84 82.0 0.53014 0.46959 0.58452 0.72921 0.61704 0.46254 0.4464 0.57782 0.50481 0.52267 0.54317 0.78791 0.64162 0.71452 0.54007 0.29662 0.54923 0.52982 0.50418
85 83.0 0.53015 0.46959 0.58451 0.72921 0.61704 0.46254 0.4464 0.57782 0.50481 0.52269 0.54317 0.78792 0.64163 0.71452 0.54007 0.29662 0.54923 0.52983 0.50419
86 84.0 0.53015 0.46959 0.5845 0.7292 0.61704 0.46254 0.4464 0.57782 0.50481 0.5227 0.54317 0.78792 0.64164 0.71452 0.54007 0.29662 0.54923 0.52983 0.50419
87 85.0 0.53015 0.46959 0.58449 0.7292 0.61704 0.46254 0.4464 0.57782 0.50481 0.52272 0.54318 0.78792 0.64164 0.71452 0.54007 0.29662 0.54923 0.52983 0.50419
88 86.0 0.53015 0.46959 0.58448 0.7292 0.61704 0.46254 0.4464 0.57782 0.50481 0.52273 0.54318 0.78793 0.64165 0.71452 0.54007 0.29662 0.54924 0.52983 0.50419
89 87.0 0.53015 0.46959 0.58448 0.7292 0.61704 0.46254 0.4464 0.57782 0.50481 0.52274 0.54318 0.78793 0.64165 0.71452 0.54007 0.29663 0.54924 0.52984 0.50419
90 88.0 0.53015 0.46959 0.58447 0.7292 0.61704 0.46254 0.4464 0.57782 0.50481 0.52275 0.54318 0.78793 0.64166 0.71452 0.54007 0.29663 0.54924 0.52984 0.5042
91 89.0 0.53015 0.46959 0.58447 0.7292 0.61704 0.46254 0.4464 0.57782 0.50481 0.52276 0.54318 0.78794 0.64167 0.71452 0.54007 0.29663 0.54924 0.52984 0.5042
92 90.0 0.53015 0.46959 0.58446 0.7292 0.61705 0.46254 0.4464 0.57782 0.50481 0.52277 0.54318 0.78794 0.64167 0.71452 0.54007 0.29663 0.54924 0.52984 0.5042
93 91.0 0.53015 0.46959 0.58446 0.7292 0.61705 0.46254 0.4464 0.57782 0.50481 0.52278 0.54318 0.78794 0.64167 0.71452 0.54007 0.29663 0.54924 0.52984 0.5042
94 92.0 0.53015 0.46959 0.58445 0.7292 0.61705 0.46254 0.4464 0.57782 0.50481 0.52279 0.54318 0.78794 0.64168 0.71452 0.54007 0.29663 0.54924 0.52984 0.5042
95 93.0 0.53015 0.46959 0.58445 0.7292 0.61705 0.46254 0.4464 0.57782 0.50481 0.5228 0.54318 0.78794 0.64168 0.71452 0.54007 0.29663 0.54924 0.52984 0.5042
96 94.0 0.53015 0.46959 0.58445 0.7292 0.61705 0.46255 0.4464 0.57782 0.50481 0.5228 0.54318 0.78795 0.64169 0.71452 0.54007 0.29663 0.54924 0.52985 0.5042
97 95.0 0.53016 0.46959 0.58445 0.7292 0.61705 0.46255 0.4464 0.57782 0.50481 0.52281 0.54318 0.78795 0.64169 0.71452 0.54007 0.29663 0.54924 0.52985 0.5042
98 96.0 0.53016 0.46959 0.58444 0.7292 0.61705 0.46255 0.4464 0.57782 0.50481 0.52281 0.54318 0.78795 0.64169 0.71452 0.54007 0.29663 0.54924 0.52985 0.50421
99 97.0 0.53016 0.46959 0.58444 0.7292 0.61705 0.46255 0.4464 0.57782 0.50481 0.52282 0.54318 0.78795 0.64169 0.71452 0.54008 0.29663 0.54924 0.52985 0.50421
100 98.0 0.53016 0.46959 0.58444 0.7292 0.61705 0.46255 0.44641 0.57782 0.50481 0.52282 0.54318 0.78795 0.6417 0.71452 0.54008 0.29663 0.54924 0.52985 0.50421
101 99.0 0.53016 0.46959 0.58444 0.7292 0.61705 0.46255 0.44641 0.57782 0.50481 0.52283 0.54318 0.78795 0.6417 0.71452 0.54008 0.29663 0.54924 0.52985 0.50421
102 100.0 0.53016 0.46959 0.58444 0.7292 0.61705 0.46255 0.44641 0.57782 0.50481 0.52283 0.54318 0.78795 0.6417 0.71452 0.54008 0.29663 0.54924 0.52985 0.50421

View file

@ -0,0 +1,102 @@
t,H,X,Kp,Ko,F,G,N,Q,P,E,S,A,Ystar,B,V,Vsel,sigma,VFAC,VFAC01
0.0,0.5,0.4,0.5,0.05,0.4,0.5,0.5,0.5,0.4,0.5,0.5,0.5,0.37123,0.85002,0.33894,0.1713,0.50539,0.49774,0.49746
1.0,0.51698,0.42046,0.49861,0.11949,0.42581,0.51257,0.50849,0.50465,0.37441,0.51246,0.51736,0.54014,0.39982,0.83616,0.38731,0.20118,0.51943,0.51529,0.51226
2.0,0.53235,0.44177,0.50107,0.18939,0.44891,0.5251,0.52177,0.51098,0.35257,0.52297,0.53429,0.57528,0.43069,0.82222,0.4375,0.23282,0.53216,0.53222,0.52707
3.0,0.54616,0.46385,0.50715,0.25838,0.46963,0.53737,0.53898,0.51865,0.33427,0.53156,0.55052,0.60586,0.4626,0.80845,0.48913,0.266,0.54383,0.54848,0.5417
4.0,0.55849,0.48653,0.51652,0.32521,0.48822,0.54919,0.55912,0.52725,0.31925,0.5383,0.56585,0.63227,0.49432,0.79512,0.54155,0.30033,0.55458,0.56392,0.55592
5.0,0.56942,0.50958,0.5287,0.38865,0.50489,0.56039,0.58113,0.53491,0.30728,0.54326,0.58012,0.65493,0.52469,0.78247,0.59326,0.33462,0.56404,0.57824,0.56931
6.0,0.57906,0.53261,0.54307,0.44756,0.5198,0.57086,0.6039,0.54095,0.29806,0.54658,0.59327,0.67424,0.55269,0.77071,0.64292,0.36781,0.57209,0.59123,0.5816
7.0,0.58754,0.55518,0.55896,0.5011,0.53307,0.58052,0.62642,0.5454,0.29129,0.54841,0.60524,0.69059,0.5776,0.76003,0.68948,0.39907,0.5788,0.6028,0.59265
8.0,0.59497,0.57687,0.57569,0.54873,0.54485,0.58932,0.64784,0.54837,0.28663,0.54893,0.61603,0.70435,0.59903,0.75053,0.7321,0.42775,0.58428,0.61293,0.60237
9.0,0.60146,0.59728,0.59262,0.59029,0.55523,0.59722,0.66754,0.55003,0.28373,0.54833,0.62567,0.71589,0.6169,0.74224,0.77023,0.45337,0.58862,0.62161,0.61074
10.0,0.60714,0.6161,0.60923,0.62592,0.56434,0.60423,0.68515,0.55058,0.28225,0.5468,0.6342,0.72552,0.63137,0.73513,0.80362,0.47572,0.59197,0.62893,0.6178
11.0,0.61209,0.63313,0.62509,0.65599,0.57229,0.61039,0.70049,0.55026,0.28188,0.54454,0.64169,0.73355,0.64276,0.72913,0.83226,0.49477,0.59448,0.63498,0.62363
12.0,0.61642,0.64825,0.6399,0.68102,0.5792,0.61572,0.71354,0.54928,0.28233,0.54172,0.64821,0.74023,0.65147,0.72414,0.8564,0.51066,0.59629,0.6399,0.62835
13.0,0.6202,0.66146,0.65348,0.70161,0.58518,0.6203,0.72444,0.54784,0.28337,0.5385,0.65385,0.74578,0.65795,0.72003,0.8764,0.52367,0.59753,0.64382,0.63209
14.0,0.6235,0.67284,0.66572,0.71839,0.59032,0.62419,0.73338,0.5461,0.2848,0.535,0.65869,0.75041,0.66258,0.71668,0.89273,0.53414,0.59833,0.64688,0.63499
15.0,0.62639,0.6825,0.67662,0.73194,0.59473,0.62745,0.74059,0.54421,0.28646,0.53135,0.66281,0.75426,0.66575,0.71398,0.90587,0.54242,0.59879,0.64923,0.63717
16.0,0.62891,0.69062,0.68621,0.7428,0.5985,0.63017,0.74632,0.54226,0.28824,0.52765,0.6663,0.75748,0.66777,0.71181,0.91632,0.54887,0.599,0.65098,0.63877
17.0,0.63111,0.69735,0.69456,0.75146,0.60171,0.6324,0.75081,0.54035,0.29004,0.52395,0.66924,0.76018,0.6689,0.71008,0.92452,0.55381,0.59903,0.65226,0.63989
18.0,0.63303,0.70289,0.70177,0.75831,0.60443,0.63422,0.75428,0.53852,0.2918,0.52034,0.67169,0.76246,0.66935,0.70872,0.93087,0.55753,0.59893,0.65315,0.64064
19.0,0.63471,0.7074,0.70796,0.76372,0.60673,0.63569,0.75691,0.5368,0.29348,0.51683,0.67372,0.76437,0.6693,0.70764,0.93573,0.56028,0.59876,0.65373,0.64108
20.0,0.63617,0.71104,0.71322,0.76795,0.60867,0.63686,0.75887,0.53523,0.29505,0.51348,0.6754,0.766,0.66889,0.70679,0.9394,0.56226,0.59853,0.65408,0.64129
21.0,0.63744,0.71395,0.71769,0.77126,0.6103,0.63778,0.7603,0.5338,0.2965,0.5103,0.67676,0.76739,0.66822,0.70613,0.94212,0.56365,0.59828,0.65425,0.64133
22.0,0.63855,0.71625,0.72144,0.77383,0.61166,0.63849,0.76132,0.53252,0.29781,0.5073,0.67787,0.76858,0.66738,0.70562,0.94409,0.56458,0.59802,0.65428,0.64124
23.0,0.63951,0.71806,0.7246,0.77582,0.61279,0.63903,0.76201,0.53139,0.299,0.5045,0.67876,0.7696,0.66643,0.70522,0.94549,0.56517,0.59776,0.65421,0.64106
24.0,0.64035,0.71947,0.72723,0.77735,0.61374,0.63944,0.76246,0.53039,0.30007,0.50188,0.67947,0.77048,0.66541,0.70492,0.94644,0.56551,0.59751,0.65407,0.64082
25.0,0.64107,0.72055,0.72941,0.77851,0.61451,0.63973,0.76272,0.52952,0.30101,0.49946,0.68002,0.77125,0.66437,0.70469,0.94706,0.56565,0.59727,0.65388,0.64053
26.0,0.6417,0.72138,0.73122,0.7794,0.61515,0.63994,0.76284,0.52877,0.30184,0.49722,0.68045,0.77192,0.66333,0.70451,0.94742,0.56566,0.59706,0.65367,0.64022
27.0,0.64224,0.72199,0.73271,0.78006,0.61567,0.64007,0.76286,0.52812,0.30258,0.49516,0.68078,0.7725,0.66231,0.70438,0.94759,0.56558,0.59686,0.65343,0.6399
28.0,0.64271,0.72244,0.73393,0.78056,0.61609,0.64016,0.76281,0.52756,0.30322,0.49327,0.68102,0.77302,0.66132,0.70428,0.94763,0.56543,0.59668,0.65318,0.63958
29.0,0.64312,0.72276,0.73492,0.78092,0.61643,0.6402,0.76271,0.52709,0.30378,0.49154,0.6812,0.77347,0.66038,0.70421,0.94757,0.56525,0.59652,0.65294,0.63926
30.0,0.64347,0.72298,0.73573,0.78118,0.6167,0.6402,0.76258,0.52668,0.30427,0.48995,0.68132,0.77387,0.65949,0.70415,0.94744,0.56504,0.59638,0.6527,0.63895
31.0,0.64377,0.72312,0.73639,0.78137,0.61691,0.64019,0.76244,0.52634,0.30469,0.48851,0.6814,0.77423,0.65866,0.70412,0.94727,0.56482,0.59626,0.65247,0.63866
32.0,0.64403,0.7232,0.73691,0.78149,0.61708,0.64016,0.76228,0.52605,0.30506,0.4872,0.68145,0.77454,0.65788,0.70409,0.94707,0.5646,0.59616,0.65225,0.63839
33.0,0.64425,0.72325,0.73733,0.78158,0.6172,0.64011,0.76212,0.52581,0.30537,0.48602,0.68147,0.77483,0.65715,0.70408,0.94687,0.56439,0.59606,0.65205,0.63813
34.0,0.64445,0.72326,0.73767,0.78163,0.61729,0.64006,0.76196,0.52561,0.30564,0.48494,0.68147,0.77508,0.65648,0.70406,0.94665,0.56419,0.59598,0.65185,0.6379
35.0,0.64461,0.72324,0.73793,0.78166,0.61736,0.64,0.76181,0.52544,0.30588,0.48396,0.68145,0.77531,0.65586,0.70406,0.94645,0.564,0.59591,0.65168,0.63768
36.0,0.64475,0.72321,0.73813,0.78167,0.6174,0.63995,0.76167,0.5253,0.30608,0.48308,0.68143,0.77551,0.6553,0.70406,0.94624,0.56383,0.59586,0.65151,0.63748
37.0,0.64487,0.72318,0.73829,0.78167,0.61743,0.63989,0.76153,0.52519,0.30625,0.48228,0.6814,0.77569,0.65478,0.70406,0.94605,0.56367,0.59581,0.65137,0.6373
38.0,0.64498,0.72313,0.73841,0.78165,0.61744,0.63983,0.76141,0.5251,0.30639,0.48156,0.68136,0.77586,0.65431,0.70406,0.94588,0.56352,0.59577,0.65123,0.63713
39.0,0.64507,0.72308,0.73851,0.78164,0.61744,0.63978,0.7613,0.52502,0.30652,0.48091,0.68133,0.77601,0.65388,0.70406,0.94571,0.56339,0.59573,0.65111,0.63698
40.0,0.64514,0.72303,0.73857,0.78162,0.61743,0.63973,0.7612,0.52496,0.30663,0.48032,0.68129,0.77614,0.65349,0.70407,0.94556,0.56328,0.5957,0.651,0.63684
41.0,0.64521,0.72298,0.73862,0.7816,0.61742,0.63968,0.76111,0.52491,0.30672,0.47979,0.68125,0.77626,0.65313,0.70407,0.94543,0.56317,0.59568,0.6509,0.63672
42.0,0.64526,0.72294,0.73865,0.78158,0.6174,0.63963,0.76103,0.52487,0.30679,0.47932,0.68121,0.77637,0.65281,0.70407,0.9453,0.56308,0.59566,0.6508,0.63661
43.0,0.64531,0.72289,0.73867,0.78156,0.61738,0.63959,0.76095,0.52484,0.30686,0.47889,0.68117,0.77647,0.65252,0.70408,0.94519,0.563,0.59565,0.65072,0.63651
44.0,0.64535,0.72285,0.73869,0.78154,0.61736,0.63955,0.76089,0.52482,0.30692,0.47851,0.68114,0.77656,0.65225,0.70408,0.94509,0.56293,0.59563,0.65065,0.63642
45.0,0.64539,0.72281,0.73869,0.78152,0.61733,0.63952,0.76083,0.5248,0.30696,0.47816,0.68111,0.77664,0.65201,0.70409,0.945,0.56287,0.59562,0.65059,0.63634
46.0,0.64542,0.72278,0.73869,0.7815,0.61731,0.63949,0.76078,0.52478,0.307,0.47785,0.68108,0.77671,0.6518,0.70409,0.94493,0.56281,0.59562,0.65053,0.63627
47.0,0.64544,0.72275,0.73869,0.78149,0.61728,0.63946,0.76074,0.52477,0.30704,0.47757,0.68105,0.77677,0.65161,0.70409,0.94486,0.56277,0.59561,0.65048,0.63621
48.0,0.64546,0.72272,0.73869,0.78147,0.61725,0.63943,0.7607,0.52477,0.30707,0.47732,0.68102,0.77683,0.65143,0.7041,0.9448,0.56273,0.59561,0.65043,0.63615
49.0,0.64548,0.72269,0.73868,0.78146,0.61723,0.63941,0.76066,0.52476,0.30709,0.4771,0.681,0.77689,0.65128,0.7041,0.94474,0.56269,0.5956,0.65039,0.6361
50.0,0.6455,0.72267,0.73867,0.78145,0.6172,0.63939,0.76063,0.52476,0.30711,0.47689,0.68098,0.77694,0.65113,0.7041,0.94469,0.56266,0.5956,0.65035,0.63605
51.0,0.64551,0.72265,0.73866,0.78144,0.61718,0.63937,0.76061,0.52476,0.30713,0.47671,0.68096,0.77698,0.65101,0.7041,0.94465,0.56264,0.5956,0.65032,0.63601
52.0,0.64553,0.72263,0.73866,0.78143,0.61716,0.63936,0.76058,0.52476,0.30715,0.47655,0.68094,0.77702,0.65089,0.7041,0.94462,0.56261,0.5956,0.65029,0.63598
53.0,0.64554,0.72262,0.73865,0.78142,0.61713,0.63934,0.76056,0.52476,0.30716,0.4764,0.68093,0.77705,0.65079,0.70411,0.94458,0.56259,0.5956,0.65027,0.63595
54.0,0.64555,0.7226,0.73864,0.78141,0.61711,0.63933,0.76055,0.52476,0.30717,0.47627,0.68091,0.77709,0.6507,0.70411,0.94456,0.56258,0.5956,0.65024,0.63592
55.0,0.64555,0.72259,0.73863,0.78141,0.61709,0.63932,0.76053,0.52476,0.30718,0.47616,0.6809,0.77712,0.65062,0.70411,0.94453,0.56256,0.5956,0.65022,0.63589
56.0,0.64556,0.72258,0.73862,0.7814,0.61708,0.63931,0.76052,0.52476,0.30718,0.47605,0.68089,0.77714,0.65054,0.70411,0.94451,0.56255,0.5956,0.65021,0.63587
57.0,0.64557,0.72257,0.73862,0.7814,0.61706,0.6393,0.76051,0.52476,0.30719,0.47596,0.68088,0.77717,0.65048,0.70411,0.94449,0.56254,0.5956,0.65019,0.63585
58.0,0.64557,0.72257,0.73861,0.7814,0.61704,0.63929,0.7605,0.52477,0.3072,0.47587,0.68087,0.77719,0.65042,0.70411,0.94448,0.56253,0.59561,0.65018,0.63583
59.0,0.64557,0.72256,0.7386,0.78139,0.61703,0.63928,0.76049,0.52477,0.3072,0.4758,0.68087,0.77721,0.65036,0.70411,0.94446,0.56253,0.59561,0.65016,0.63582
60.0,0.64558,0.72255,0.7386,0.78139,0.61702,0.63928,0.76048,0.52477,0.3072,0.47573,0.68086,0.77722,0.65032,0.70411,0.94445,0.56252,0.59561,0.65015,0.6358
61.0,0.64558,0.72255,0.73859,0.78139,0.617,0.63927,0.76048,0.52477,0.30721,0.47567,0.68086,0.77724,0.65027,0.70411,0.94444,0.56252,0.59561,0.65014,0.63579
62.0,0.64558,0.72254,0.73859,0.78139,0.61699,0.63926,0.76047,0.52477,0.30721,0.47561,0.68085,0.77725,0.65023,0.70411,0.94443,0.56251,0.59561,0.65013,0.63578
63.0,0.64559,0.72254,0.73859,0.78138,0.61698,0.63926,0.76047,0.52478,0.30721,0.47556,0.68085,0.77727,0.6502,0.70411,0.94442,0.56251,0.59561,0.65013,0.63577
64.0,0.64559,0.72254,0.73858,0.78138,0.61697,0.63926,0.76046,0.52478,0.30721,0.47552,0.68084,0.77728,0.65017,0.70411,0.94442,0.56251,0.59561,0.65012,0.63576
65.0,0.64559,0.72253,0.73858,0.78138,0.61696,0.63925,0.76046,0.52478,0.30722,0.47548,0.68084,0.77729,0.65014,0.70411,0.94441,0.5625,0.59561,0.65011,0.63575
66.0,0.64559,0.72253,0.73858,0.78138,0.61696,0.63925,0.76046,0.52478,0.30722,0.47544,0.68084,0.7773,0.65012,0.70411,0.9444,0.5625,0.59562,0.65011,0.63575
67.0,0.64559,0.72253,0.73858,0.78138,0.61695,0.63925,0.76046,0.52478,0.30722,0.47541,0.68083,0.77731,0.65009,0.70411,0.9444,0.5625,0.59562,0.6501,0.63574
68.0,0.6456,0.72253,0.73857,0.78138,0.61694,0.63925,0.76045,0.52479,0.30722,0.47538,0.68083,0.77731,0.65007,0.70412,0.9444,0.5625,0.59562,0.6501,0.63574
69.0,0.6456,0.72253,0.73857,0.78138,0.61694,0.63924,0.76045,0.52479,0.30722,0.47536,0.68083,0.77732,0.65006,0.70412,0.94439,0.5625,0.59562,0.65009,0.63573
70.0,0.6456,0.72253,0.73857,0.78138,0.61693,0.63924,0.76045,0.52479,0.30722,0.47533,0.68083,0.77733,0.65004,0.70412,0.94439,0.5625,0.59562,0.65009,0.63573
71.0,0.6456,0.72253,0.73857,0.78138,0.61693,0.63924,0.76045,0.52479,0.30722,0.47531,0.68083,0.77733,0.65002,0.70412,0.94439,0.5625,0.59562,0.65009,0.63572
72.0,0.6456,0.72252,0.73857,0.78138,0.61692,0.63924,0.76045,0.52479,0.30722,0.47529,0.68083,0.77734,0.65001,0.70412,0.94439,0.5625,0.59562,0.65009,0.63572
73.0,0.6456,0.72252,0.73857,0.78138,0.61692,0.63924,0.76045,0.52479,0.30722,0.47528,0.68083,0.77734,0.65,0.70412,0.94438,0.5625,0.59562,0.65008,0.63572
74.0,0.6456,0.72252,0.73857,0.78138,0.61691,0.63924,0.76045,0.52479,0.30722,0.47526,0.68083,0.77735,0.64999,0.70412,0.94438,0.5625,0.59562,0.65008,0.63571
75.0,0.6456,0.72252,0.73857,0.78138,0.61691,0.63924,0.76044,0.52479,0.30722,0.47525,0.68082,0.77735,0.64998,0.70412,0.94438,0.5625,0.59562,0.65008,0.63571
76.0,0.6456,0.72252,0.73856,0.78138,0.61691,0.63924,0.76044,0.52479,0.30722,0.47524,0.68082,0.77735,0.64997,0.70412,0.94438,0.5625,0.59562,0.65008,0.63571
77.0,0.6456,0.72252,0.73856,0.78138,0.6169,0.63923,0.76044,0.52479,0.30722,0.47523,0.68082,0.77736,0.64996,0.70412,0.94438,0.5625,0.59562,0.65008,0.63571
78.0,0.6456,0.72252,0.73856,0.78138,0.6169,0.63923,0.76044,0.52479,0.30722,0.47522,0.68082,0.77736,0.64996,0.70412,0.94438,0.5625,0.59563,0.65008,0.63571
79.0,0.6456,0.72252,0.73856,0.78138,0.6169,0.63923,0.76044,0.5248,0.30722,0.47521,0.68082,0.77736,0.64995,0.70412,0.94438,0.5625,0.59563,0.65007,0.6357
80.0,0.6456,0.72252,0.73856,0.78138,0.6169,0.63923,0.76044,0.5248,0.30722,0.4752,0.68082,0.77736,0.64995,0.70412,0.94438,0.5625,0.59563,0.65007,0.6357
81.0,0.64561,0.72252,0.73856,0.78138,0.6169,0.63923,0.76044,0.5248,0.30722,0.47519,0.68082,0.77736,0.64994,0.70412,0.94438,0.5625,0.59563,0.65007,0.6357
82.0,0.64561,0.72252,0.73856,0.78138,0.61689,0.63923,0.76044,0.5248,0.30722,0.47519,0.68082,0.77737,0.64994,0.70412,0.94438,0.5625,0.59563,0.65007,0.6357
83.0,0.64561,0.72252,0.73856,0.78138,0.61689,0.63923,0.76044,0.5248,0.30722,0.47518,0.68082,0.77737,0.64993,0.70412,0.94437,0.5625,0.59563,0.65007,0.6357
84.0,0.64561,0.72252,0.73856,0.78138,0.61689,0.63923,0.76044,0.5248,0.30722,0.47517,0.68082,0.77737,0.64993,0.70412,0.94437,0.5625,0.59563,0.65007,0.6357
85.0,0.64561,0.72252,0.73856,0.78138,0.61689,0.63923,0.76044,0.5248,0.30722,0.47517,0.68082,0.77737,0.64993,0.70412,0.94437,0.5625,0.59563,0.65007,0.6357
86.0,0.64561,0.72252,0.73856,0.78138,0.61689,0.63923,0.76044,0.5248,0.30722,0.47517,0.68082,0.77737,0.64992,0.70412,0.94437,0.5625,0.59563,0.65007,0.6357
87.0,0.64561,0.72252,0.73856,0.78138,0.61689,0.63923,0.76044,0.5248,0.30722,0.47516,0.68082,0.77737,0.64992,0.70412,0.94437,0.5625,0.59563,0.65007,0.6357
88.0,0.64561,0.72252,0.73856,0.78138,0.61689,0.63923,0.76044,0.5248,0.30722,0.47516,0.68082,0.77737,0.64992,0.70412,0.94437,0.5625,0.59563,0.65007,0.6357
89.0,0.64561,0.72252,0.73856,0.78138,0.61689,0.63923,0.76044,0.5248,0.30722,0.47516,0.68082,0.77737,0.64992,0.70412,0.94437,0.5625,0.59563,0.65007,0.6357
90.0,0.64561,0.72252,0.73856,0.78138,0.61689,0.63923,0.76044,0.5248,0.30722,0.47515,0.68082,0.77737,0.64991,0.70412,0.94437,0.5625,0.59563,0.65007,0.6357
91.0,0.64561,0.72252,0.73856,0.78138,0.61688,0.63923,0.76044,0.5248,0.30722,0.47515,0.68082,0.77738,0.64991,0.70412,0.94437,0.5625,0.59563,0.65007,0.6357
92.0,0.64561,0.72252,0.73856,0.78138,0.61688,0.63923,0.76044,0.5248,0.30722,0.47515,0.68082,0.77738,0.64991,0.70412,0.94437,0.5625,0.59563,0.65007,0.63569
93.0,0.64561,0.72252,0.73856,0.78138,0.61688,0.63923,0.76044,0.5248,0.30722,0.47515,0.68082,0.77738,0.64991,0.70412,0.94437,0.5625,0.59563,0.65007,0.63569
94.0,0.64561,0.72252,0.73856,0.78138,0.61688,0.63923,0.76044,0.5248,0.30722,0.47514,0.68082,0.77738,0.64991,0.70412,0.94437,0.5625,0.59563,0.65007,0.63569
95.0,0.64561,0.72252,0.73856,0.78138,0.61688,0.63923,0.76044,0.5248,0.30722,0.47514,0.68082,0.77738,0.64991,0.70412,0.94437,0.5625,0.59563,0.65007,0.63569
96.0,0.64561,0.72252,0.73856,0.78138,0.61688,0.63923,0.76044,0.5248,0.30722,0.47514,0.68082,0.77738,0.64991,0.70412,0.94437,0.5625,0.59563,0.65007,0.63569
97.0,0.64561,0.72252,0.73856,0.78138,0.61688,0.63923,0.76044,0.5248,0.30722,0.47514,0.68082,0.77738,0.64991,0.70412,0.94437,0.5625,0.59563,0.65007,0.63569
98.0,0.64561,0.72252,0.73856,0.78138,0.61688,0.63923,0.76044,0.5248,0.30722,0.47514,0.68082,0.77738,0.6499,0.70412,0.94437,0.5625,0.59563,0.65007,0.63569
99.0,0.64561,0.72252,0.73856,0.78138,0.61688,0.63923,0.76044,0.5248,0.30722,0.47514,0.68082,0.77738,0.6499,0.70412,0.94437,0.5625,0.59563,0.65007,0.63569
100.0,0.64561,0.72252,0.73856,0.78138,0.61688,0.63923,0.76044,0.5248,0.30722,0.47514,0.68082,0.77738,0.6499,0.70412,0.94437,0.5625,0.59563,0.65007,0.63569
1 t H X Kp Ko F G N Q P E S A Ystar B V Vsel sigma VFAC VFAC01
2 0.0 0.5 0.4 0.5 0.05 0.4 0.5 0.5 0.5 0.4 0.5 0.5 0.5 0.37123 0.85002 0.33894 0.1713 0.50539 0.49774 0.49746
3 1.0 0.51698 0.42046 0.49861 0.11949 0.42581 0.51257 0.50849 0.50465 0.37441 0.51246 0.51736 0.54014 0.39982 0.83616 0.38731 0.20118 0.51943 0.51529 0.51226
4 2.0 0.53235 0.44177 0.50107 0.18939 0.44891 0.5251 0.52177 0.51098 0.35257 0.52297 0.53429 0.57528 0.43069 0.82222 0.4375 0.23282 0.53216 0.53222 0.52707
5 3.0 0.54616 0.46385 0.50715 0.25838 0.46963 0.53737 0.53898 0.51865 0.33427 0.53156 0.55052 0.60586 0.4626 0.80845 0.48913 0.266 0.54383 0.54848 0.5417
6 4.0 0.55849 0.48653 0.51652 0.32521 0.48822 0.54919 0.55912 0.52725 0.31925 0.5383 0.56585 0.63227 0.49432 0.79512 0.54155 0.30033 0.55458 0.56392 0.55592
7 5.0 0.56942 0.50958 0.5287 0.38865 0.50489 0.56039 0.58113 0.53491 0.30728 0.54326 0.58012 0.65493 0.52469 0.78247 0.59326 0.33462 0.56404 0.57824 0.56931
8 6.0 0.57906 0.53261 0.54307 0.44756 0.5198 0.57086 0.6039 0.54095 0.29806 0.54658 0.59327 0.67424 0.55269 0.77071 0.64292 0.36781 0.57209 0.59123 0.5816
9 7.0 0.58754 0.55518 0.55896 0.5011 0.53307 0.58052 0.62642 0.5454 0.29129 0.54841 0.60524 0.69059 0.5776 0.76003 0.68948 0.39907 0.5788 0.6028 0.59265
10 8.0 0.59497 0.57687 0.57569 0.54873 0.54485 0.58932 0.64784 0.54837 0.28663 0.54893 0.61603 0.70435 0.59903 0.75053 0.7321 0.42775 0.58428 0.61293 0.60237
11 9.0 0.60146 0.59728 0.59262 0.59029 0.55523 0.59722 0.66754 0.55003 0.28373 0.54833 0.62567 0.71589 0.6169 0.74224 0.77023 0.45337 0.58862 0.62161 0.61074
12 10.0 0.60714 0.6161 0.60923 0.62592 0.56434 0.60423 0.68515 0.55058 0.28225 0.5468 0.6342 0.72552 0.63137 0.73513 0.80362 0.47572 0.59197 0.62893 0.6178
13 11.0 0.61209 0.63313 0.62509 0.65599 0.57229 0.61039 0.70049 0.55026 0.28188 0.54454 0.64169 0.73355 0.64276 0.72913 0.83226 0.49477 0.59448 0.63498 0.62363
14 12.0 0.61642 0.64825 0.6399 0.68102 0.5792 0.61572 0.71354 0.54928 0.28233 0.54172 0.64821 0.74023 0.65147 0.72414 0.8564 0.51066 0.59629 0.6399 0.62835
15 13.0 0.6202 0.66146 0.65348 0.70161 0.58518 0.6203 0.72444 0.54784 0.28337 0.5385 0.65385 0.74578 0.65795 0.72003 0.8764 0.52367 0.59753 0.64382 0.63209
16 14.0 0.6235 0.67284 0.66572 0.71839 0.59032 0.62419 0.73338 0.5461 0.2848 0.535 0.65869 0.75041 0.66258 0.71668 0.89273 0.53414 0.59833 0.64688 0.63499
17 15.0 0.62639 0.6825 0.67662 0.73194 0.59473 0.62745 0.74059 0.54421 0.28646 0.53135 0.66281 0.75426 0.66575 0.71398 0.90587 0.54242 0.59879 0.64923 0.63717
18 16.0 0.62891 0.69062 0.68621 0.7428 0.5985 0.63017 0.74632 0.54226 0.28824 0.52765 0.6663 0.75748 0.66777 0.71181 0.91632 0.54887 0.599 0.65098 0.63877
19 17.0 0.63111 0.69735 0.69456 0.75146 0.60171 0.6324 0.75081 0.54035 0.29004 0.52395 0.66924 0.76018 0.6689 0.71008 0.92452 0.55381 0.59903 0.65226 0.63989
20 18.0 0.63303 0.70289 0.70177 0.75831 0.60443 0.63422 0.75428 0.53852 0.2918 0.52034 0.67169 0.76246 0.66935 0.70872 0.93087 0.55753 0.59893 0.65315 0.64064
21 19.0 0.63471 0.7074 0.70796 0.76372 0.60673 0.63569 0.75691 0.5368 0.29348 0.51683 0.67372 0.76437 0.6693 0.70764 0.93573 0.56028 0.59876 0.65373 0.64108
22 20.0 0.63617 0.71104 0.71322 0.76795 0.60867 0.63686 0.75887 0.53523 0.29505 0.51348 0.6754 0.766 0.66889 0.70679 0.9394 0.56226 0.59853 0.65408 0.64129
23 21.0 0.63744 0.71395 0.71769 0.77126 0.6103 0.63778 0.7603 0.5338 0.2965 0.5103 0.67676 0.76739 0.66822 0.70613 0.94212 0.56365 0.59828 0.65425 0.64133
24 22.0 0.63855 0.71625 0.72144 0.77383 0.61166 0.63849 0.76132 0.53252 0.29781 0.5073 0.67787 0.76858 0.66738 0.70562 0.94409 0.56458 0.59802 0.65428 0.64124
25 23.0 0.63951 0.71806 0.7246 0.77582 0.61279 0.63903 0.76201 0.53139 0.299 0.5045 0.67876 0.7696 0.66643 0.70522 0.94549 0.56517 0.59776 0.65421 0.64106
26 24.0 0.64035 0.71947 0.72723 0.77735 0.61374 0.63944 0.76246 0.53039 0.30007 0.50188 0.67947 0.77048 0.66541 0.70492 0.94644 0.56551 0.59751 0.65407 0.64082
27 25.0 0.64107 0.72055 0.72941 0.77851 0.61451 0.63973 0.76272 0.52952 0.30101 0.49946 0.68002 0.77125 0.66437 0.70469 0.94706 0.56565 0.59727 0.65388 0.64053
28 26.0 0.6417 0.72138 0.73122 0.7794 0.61515 0.63994 0.76284 0.52877 0.30184 0.49722 0.68045 0.77192 0.66333 0.70451 0.94742 0.56566 0.59706 0.65367 0.64022
29 27.0 0.64224 0.72199 0.73271 0.78006 0.61567 0.64007 0.76286 0.52812 0.30258 0.49516 0.68078 0.7725 0.66231 0.70438 0.94759 0.56558 0.59686 0.65343 0.6399
30 28.0 0.64271 0.72244 0.73393 0.78056 0.61609 0.64016 0.76281 0.52756 0.30322 0.49327 0.68102 0.77302 0.66132 0.70428 0.94763 0.56543 0.59668 0.65318 0.63958
31 29.0 0.64312 0.72276 0.73492 0.78092 0.61643 0.6402 0.76271 0.52709 0.30378 0.49154 0.6812 0.77347 0.66038 0.70421 0.94757 0.56525 0.59652 0.65294 0.63926
32 30.0 0.64347 0.72298 0.73573 0.78118 0.6167 0.6402 0.76258 0.52668 0.30427 0.48995 0.68132 0.77387 0.65949 0.70415 0.94744 0.56504 0.59638 0.6527 0.63895
33 31.0 0.64377 0.72312 0.73639 0.78137 0.61691 0.64019 0.76244 0.52634 0.30469 0.48851 0.6814 0.77423 0.65866 0.70412 0.94727 0.56482 0.59626 0.65247 0.63866
34 32.0 0.64403 0.7232 0.73691 0.78149 0.61708 0.64016 0.76228 0.52605 0.30506 0.4872 0.68145 0.77454 0.65788 0.70409 0.94707 0.5646 0.59616 0.65225 0.63839
35 33.0 0.64425 0.72325 0.73733 0.78158 0.6172 0.64011 0.76212 0.52581 0.30537 0.48602 0.68147 0.77483 0.65715 0.70408 0.94687 0.56439 0.59606 0.65205 0.63813
36 34.0 0.64445 0.72326 0.73767 0.78163 0.61729 0.64006 0.76196 0.52561 0.30564 0.48494 0.68147 0.77508 0.65648 0.70406 0.94665 0.56419 0.59598 0.65185 0.6379
37 35.0 0.64461 0.72324 0.73793 0.78166 0.61736 0.64 0.76181 0.52544 0.30588 0.48396 0.68145 0.77531 0.65586 0.70406 0.94645 0.564 0.59591 0.65168 0.63768
38 36.0 0.64475 0.72321 0.73813 0.78167 0.6174 0.63995 0.76167 0.5253 0.30608 0.48308 0.68143 0.77551 0.6553 0.70406 0.94624 0.56383 0.59586 0.65151 0.63748
39 37.0 0.64487 0.72318 0.73829 0.78167 0.61743 0.63989 0.76153 0.52519 0.30625 0.48228 0.6814 0.77569 0.65478 0.70406 0.94605 0.56367 0.59581 0.65137 0.6373
40 38.0 0.64498 0.72313 0.73841 0.78165 0.61744 0.63983 0.76141 0.5251 0.30639 0.48156 0.68136 0.77586 0.65431 0.70406 0.94588 0.56352 0.59577 0.65123 0.63713
41 39.0 0.64507 0.72308 0.73851 0.78164 0.61744 0.63978 0.7613 0.52502 0.30652 0.48091 0.68133 0.77601 0.65388 0.70406 0.94571 0.56339 0.59573 0.65111 0.63698
42 40.0 0.64514 0.72303 0.73857 0.78162 0.61743 0.63973 0.7612 0.52496 0.30663 0.48032 0.68129 0.77614 0.65349 0.70407 0.94556 0.56328 0.5957 0.651 0.63684
43 41.0 0.64521 0.72298 0.73862 0.7816 0.61742 0.63968 0.76111 0.52491 0.30672 0.47979 0.68125 0.77626 0.65313 0.70407 0.94543 0.56317 0.59568 0.6509 0.63672
44 42.0 0.64526 0.72294 0.73865 0.78158 0.6174 0.63963 0.76103 0.52487 0.30679 0.47932 0.68121 0.77637 0.65281 0.70407 0.9453 0.56308 0.59566 0.6508 0.63661
45 43.0 0.64531 0.72289 0.73867 0.78156 0.61738 0.63959 0.76095 0.52484 0.30686 0.47889 0.68117 0.77647 0.65252 0.70408 0.94519 0.563 0.59565 0.65072 0.63651
46 44.0 0.64535 0.72285 0.73869 0.78154 0.61736 0.63955 0.76089 0.52482 0.30692 0.47851 0.68114 0.77656 0.65225 0.70408 0.94509 0.56293 0.59563 0.65065 0.63642
47 45.0 0.64539 0.72281 0.73869 0.78152 0.61733 0.63952 0.76083 0.5248 0.30696 0.47816 0.68111 0.77664 0.65201 0.70409 0.945 0.56287 0.59562 0.65059 0.63634
48 46.0 0.64542 0.72278 0.73869 0.7815 0.61731 0.63949 0.76078 0.52478 0.307 0.47785 0.68108 0.77671 0.6518 0.70409 0.94493 0.56281 0.59562 0.65053 0.63627
49 47.0 0.64544 0.72275 0.73869 0.78149 0.61728 0.63946 0.76074 0.52477 0.30704 0.47757 0.68105 0.77677 0.65161 0.70409 0.94486 0.56277 0.59561 0.65048 0.63621
50 48.0 0.64546 0.72272 0.73869 0.78147 0.61725 0.63943 0.7607 0.52477 0.30707 0.47732 0.68102 0.77683 0.65143 0.7041 0.9448 0.56273 0.59561 0.65043 0.63615
51 49.0 0.64548 0.72269 0.73868 0.78146 0.61723 0.63941 0.76066 0.52476 0.30709 0.4771 0.681 0.77689 0.65128 0.7041 0.94474 0.56269 0.5956 0.65039 0.6361
52 50.0 0.6455 0.72267 0.73867 0.78145 0.6172 0.63939 0.76063 0.52476 0.30711 0.47689 0.68098 0.77694 0.65113 0.7041 0.94469 0.56266 0.5956 0.65035 0.63605
53 51.0 0.64551 0.72265 0.73866 0.78144 0.61718 0.63937 0.76061 0.52476 0.30713 0.47671 0.68096 0.77698 0.65101 0.7041 0.94465 0.56264 0.5956 0.65032 0.63601
54 52.0 0.64553 0.72263 0.73866 0.78143 0.61716 0.63936 0.76058 0.52476 0.30715 0.47655 0.68094 0.77702 0.65089 0.7041 0.94462 0.56261 0.5956 0.65029 0.63598
55 53.0 0.64554 0.72262 0.73865 0.78142 0.61713 0.63934 0.76056 0.52476 0.30716 0.4764 0.68093 0.77705 0.65079 0.70411 0.94458 0.56259 0.5956 0.65027 0.63595
56 54.0 0.64555 0.7226 0.73864 0.78141 0.61711 0.63933 0.76055 0.52476 0.30717 0.47627 0.68091 0.77709 0.6507 0.70411 0.94456 0.56258 0.5956 0.65024 0.63592
57 55.0 0.64555 0.72259 0.73863 0.78141 0.61709 0.63932 0.76053 0.52476 0.30718 0.47616 0.6809 0.77712 0.65062 0.70411 0.94453 0.56256 0.5956 0.65022 0.63589
58 56.0 0.64556 0.72258 0.73862 0.7814 0.61708 0.63931 0.76052 0.52476 0.30718 0.47605 0.68089 0.77714 0.65054 0.70411 0.94451 0.56255 0.5956 0.65021 0.63587
59 57.0 0.64557 0.72257 0.73862 0.7814 0.61706 0.6393 0.76051 0.52476 0.30719 0.47596 0.68088 0.77717 0.65048 0.70411 0.94449 0.56254 0.5956 0.65019 0.63585
60 58.0 0.64557 0.72257 0.73861 0.7814 0.61704 0.63929 0.7605 0.52477 0.3072 0.47587 0.68087 0.77719 0.65042 0.70411 0.94448 0.56253 0.59561 0.65018 0.63583
61 59.0 0.64557 0.72256 0.7386 0.78139 0.61703 0.63928 0.76049 0.52477 0.3072 0.4758 0.68087 0.77721 0.65036 0.70411 0.94446 0.56253 0.59561 0.65016 0.63582
62 60.0 0.64558 0.72255 0.7386 0.78139 0.61702 0.63928 0.76048 0.52477 0.3072 0.47573 0.68086 0.77722 0.65032 0.70411 0.94445 0.56252 0.59561 0.65015 0.6358
63 61.0 0.64558 0.72255 0.73859 0.78139 0.617 0.63927 0.76048 0.52477 0.30721 0.47567 0.68086 0.77724 0.65027 0.70411 0.94444 0.56252 0.59561 0.65014 0.63579
64 62.0 0.64558 0.72254 0.73859 0.78139 0.61699 0.63926 0.76047 0.52477 0.30721 0.47561 0.68085 0.77725 0.65023 0.70411 0.94443 0.56251 0.59561 0.65013 0.63578
65 63.0 0.64559 0.72254 0.73859 0.78138 0.61698 0.63926 0.76047 0.52478 0.30721 0.47556 0.68085 0.77727 0.6502 0.70411 0.94442 0.56251 0.59561 0.65013 0.63577
66 64.0 0.64559 0.72254 0.73858 0.78138 0.61697 0.63926 0.76046 0.52478 0.30721 0.47552 0.68084 0.77728 0.65017 0.70411 0.94442 0.56251 0.59561 0.65012 0.63576
67 65.0 0.64559 0.72253 0.73858 0.78138 0.61696 0.63925 0.76046 0.52478 0.30722 0.47548 0.68084 0.77729 0.65014 0.70411 0.94441 0.5625 0.59561 0.65011 0.63575
68 66.0 0.64559 0.72253 0.73858 0.78138 0.61696 0.63925 0.76046 0.52478 0.30722 0.47544 0.68084 0.7773 0.65012 0.70411 0.9444 0.5625 0.59562 0.65011 0.63575
69 67.0 0.64559 0.72253 0.73858 0.78138 0.61695 0.63925 0.76046 0.52478 0.30722 0.47541 0.68083 0.77731 0.65009 0.70411 0.9444 0.5625 0.59562 0.6501 0.63574
70 68.0 0.6456 0.72253 0.73857 0.78138 0.61694 0.63925 0.76045 0.52479 0.30722 0.47538 0.68083 0.77731 0.65007 0.70412 0.9444 0.5625 0.59562 0.6501 0.63574
71 69.0 0.6456 0.72253 0.73857 0.78138 0.61694 0.63924 0.76045 0.52479 0.30722 0.47536 0.68083 0.77732 0.65006 0.70412 0.94439 0.5625 0.59562 0.65009 0.63573
72 70.0 0.6456 0.72253 0.73857 0.78138 0.61693 0.63924 0.76045 0.52479 0.30722 0.47533 0.68083 0.77733 0.65004 0.70412 0.94439 0.5625 0.59562 0.65009 0.63573
73 71.0 0.6456 0.72253 0.73857 0.78138 0.61693 0.63924 0.76045 0.52479 0.30722 0.47531 0.68083 0.77733 0.65002 0.70412 0.94439 0.5625 0.59562 0.65009 0.63572
74 72.0 0.6456 0.72252 0.73857 0.78138 0.61692 0.63924 0.76045 0.52479 0.30722 0.47529 0.68083 0.77734 0.65001 0.70412 0.94439 0.5625 0.59562 0.65009 0.63572
75 73.0 0.6456 0.72252 0.73857 0.78138 0.61692 0.63924 0.76045 0.52479 0.30722 0.47528 0.68083 0.77734 0.65 0.70412 0.94438 0.5625 0.59562 0.65008 0.63572
76 74.0 0.6456 0.72252 0.73857 0.78138 0.61691 0.63924 0.76045 0.52479 0.30722 0.47526 0.68083 0.77735 0.64999 0.70412 0.94438 0.5625 0.59562 0.65008 0.63571
77 75.0 0.6456 0.72252 0.73857 0.78138 0.61691 0.63924 0.76044 0.52479 0.30722 0.47525 0.68082 0.77735 0.64998 0.70412 0.94438 0.5625 0.59562 0.65008 0.63571
78 76.0 0.6456 0.72252 0.73856 0.78138 0.61691 0.63924 0.76044 0.52479 0.30722 0.47524 0.68082 0.77735 0.64997 0.70412 0.94438 0.5625 0.59562 0.65008 0.63571
79 77.0 0.6456 0.72252 0.73856 0.78138 0.6169 0.63923 0.76044 0.52479 0.30722 0.47523 0.68082 0.77736 0.64996 0.70412 0.94438 0.5625 0.59562 0.65008 0.63571
80 78.0 0.6456 0.72252 0.73856 0.78138 0.6169 0.63923 0.76044 0.52479 0.30722 0.47522 0.68082 0.77736 0.64996 0.70412 0.94438 0.5625 0.59563 0.65008 0.63571
81 79.0 0.6456 0.72252 0.73856 0.78138 0.6169 0.63923 0.76044 0.5248 0.30722 0.47521 0.68082 0.77736 0.64995 0.70412 0.94438 0.5625 0.59563 0.65007 0.6357
82 80.0 0.6456 0.72252 0.73856 0.78138 0.6169 0.63923 0.76044 0.5248 0.30722 0.4752 0.68082 0.77736 0.64995 0.70412 0.94438 0.5625 0.59563 0.65007 0.6357
83 81.0 0.64561 0.72252 0.73856 0.78138 0.6169 0.63923 0.76044 0.5248 0.30722 0.47519 0.68082 0.77736 0.64994 0.70412 0.94438 0.5625 0.59563 0.65007 0.6357
84 82.0 0.64561 0.72252 0.73856 0.78138 0.61689 0.63923 0.76044 0.5248 0.30722 0.47519 0.68082 0.77737 0.64994 0.70412 0.94438 0.5625 0.59563 0.65007 0.6357
85 83.0 0.64561 0.72252 0.73856 0.78138 0.61689 0.63923 0.76044 0.5248 0.30722 0.47518 0.68082 0.77737 0.64993 0.70412 0.94437 0.5625 0.59563 0.65007 0.6357
86 84.0 0.64561 0.72252 0.73856 0.78138 0.61689 0.63923 0.76044 0.5248 0.30722 0.47517 0.68082 0.77737 0.64993 0.70412 0.94437 0.5625 0.59563 0.65007 0.6357
87 85.0 0.64561 0.72252 0.73856 0.78138 0.61689 0.63923 0.76044 0.5248 0.30722 0.47517 0.68082 0.77737 0.64993 0.70412 0.94437 0.5625 0.59563 0.65007 0.6357
88 86.0 0.64561 0.72252 0.73856 0.78138 0.61689 0.63923 0.76044 0.5248 0.30722 0.47517 0.68082 0.77737 0.64992 0.70412 0.94437 0.5625 0.59563 0.65007 0.6357
89 87.0 0.64561 0.72252 0.73856 0.78138 0.61689 0.63923 0.76044 0.5248 0.30722 0.47516 0.68082 0.77737 0.64992 0.70412 0.94437 0.5625 0.59563 0.65007 0.6357
90 88.0 0.64561 0.72252 0.73856 0.78138 0.61689 0.63923 0.76044 0.5248 0.30722 0.47516 0.68082 0.77737 0.64992 0.70412 0.94437 0.5625 0.59563 0.65007 0.6357
91 89.0 0.64561 0.72252 0.73856 0.78138 0.61689 0.63923 0.76044 0.5248 0.30722 0.47516 0.68082 0.77737 0.64992 0.70412 0.94437 0.5625 0.59563 0.65007 0.6357
92 90.0 0.64561 0.72252 0.73856 0.78138 0.61689 0.63923 0.76044 0.5248 0.30722 0.47515 0.68082 0.77737 0.64991 0.70412 0.94437 0.5625 0.59563 0.65007 0.6357
93 91.0 0.64561 0.72252 0.73856 0.78138 0.61688 0.63923 0.76044 0.5248 0.30722 0.47515 0.68082 0.77738 0.64991 0.70412 0.94437 0.5625 0.59563 0.65007 0.6357
94 92.0 0.64561 0.72252 0.73856 0.78138 0.61688 0.63923 0.76044 0.5248 0.30722 0.47515 0.68082 0.77738 0.64991 0.70412 0.94437 0.5625 0.59563 0.65007 0.63569
95 93.0 0.64561 0.72252 0.73856 0.78138 0.61688 0.63923 0.76044 0.5248 0.30722 0.47515 0.68082 0.77738 0.64991 0.70412 0.94437 0.5625 0.59563 0.65007 0.63569
96 94.0 0.64561 0.72252 0.73856 0.78138 0.61688 0.63923 0.76044 0.5248 0.30722 0.47514 0.68082 0.77738 0.64991 0.70412 0.94437 0.5625 0.59563 0.65007 0.63569
97 95.0 0.64561 0.72252 0.73856 0.78138 0.61688 0.63923 0.76044 0.5248 0.30722 0.47514 0.68082 0.77738 0.64991 0.70412 0.94437 0.5625 0.59563 0.65007 0.63569
98 96.0 0.64561 0.72252 0.73856 0.78138 0.61688 0.63923 0.76044 0.5248 0.30722 0.47514 0.68082 0.77738 0.64991 0.70412 0.94437 0.5625 0.59563 0.65007 0.63569
99 97.0 0.64561 0.72252 0.73856 0.78138 0.61688 0.63923 0.76044 0.5248 0.30722 0.47514 0.68082 0.77738 0.64991 0.70412 0.94437 0.5625 0.59563 0.65007 0.63569
100 98.0 0.64561 0.72252 0.73856 0.78138 0.61688 0.63923 0.76044 0.5248 0.30722 0.47514 0.68082 0.77738 0.6499 0.70412 0.94437 0.5625 0.59563 0.65007 0.63569
101 99.0 0.64561 0.72252 0.73856 0.78138 0.61688 0.63923 0.76044 0.5248 0.30722 0.47514 0.68082 0.77738 0.6499 0.70412 0.94437 0.5625 0.59563 0.65007 0.63569
102 100.0 0.64561 0.72252 0.73856 0.78138 0.61688 0.63923 0.76044 0.5248 0.30722 0.47514 0.68082 0.77738 0.6499 0.70412 0.94437 0.5625 0.59563 0.65007 0.63569

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# GADM-0.2 sensitivity (one-at-a-time, ±20%)
Generated by `simulations/gadm02/sensitivity.py`. ΔVFAC is the change in
final VFAC (t = 100) when one parameter moves down or up by 20 %, all others
fixed. Levers in [0, 1] are capped at 1. Zero-valued parameters are tested at
0.05. One-at-a-time analysis misses interactions.
## Baseline (current trends) (VFAC = 0.461)
| Rank | Parameter | ΔVFAC at −20 % | ΔVFAC at +20 % |
|---|---|---|---|
| 1 | `dO` | -0.0202 | +0.0172 |
| 2 | `ell` | +0.0112 | -0.0104 |
| 3 | `p7` | -0.0109 | +0.0092 |
| 4 | `wL0` | -0.0093 | +0.0083 |
| 5 | `IX` | -0.0082 | +0.0068 |
| 6 | `n1` | -0.0073 | +0.0058 |
| 7 | `p2` | +0.0064 | -0.0061 |
| 8 | `disc` | +0.0063 | -0.0061 |
| 9 | `g1` | -0.0063 | +0.0053 |
| 10 | `p5` | -0.0063 | +0.0059 |
| 11 | `dX` | +0.0058 | -0.0053 |
| 12 | `arec` | -0.0054 | +0.0040 |
| 13 | `aX` | -0.0053 | +0.0051 |
| 14 | `p3` | +0.0053 | -0.0050 |
| 15 | `p4` | +0.0053 | -0.0050 |
Reuse coefficient `rho0` ranks 20 of 80.
## Generative regime (VFAC = 0.650)
| Rank | Parameter | ΔVFAC at −20 % | ΔVFAC at +20 % |
|---|---|---|---|
| 1 | `m` | -0.0151 | +0.0159 |
| 2 | `L` | -0.0100 | +0.0102 |
| 3 | `ereg` | -0.0088 | +0.0066 |
| 4 | `expl` | -0.0067 | +0.0065 |
| 5 | `v0` | +0.0064 | -0.0025 |
| 6 | `dshare` | -0.0050 | +0.0050 |
| 7 | `e1` | +0.0045 | -0.0042 |
| 8 | `thr` | +0.0045 | -0.0042 |
| 9 | `arec` | -0.0045 | +0.0032 |
| 10 | `aX` | -0.0043 | +0.0034 |
| 11 | `lin_open` | -0.0043 | +0.0041 |
| 12 | `p7` | -0.0043 | +0.0038 |
| 13 | `aext` | +0.0038 | -0.0036 |
| 14 | `x_att` | +0.0038 | -0.0036 |
| 15 | `auto` | +0.0038 | -0.0010 |
Reuse coefficient `rho0` ranks 31 of 80.

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# GADM-0.2 scenario results
Generated by `simulations/gadm02/run_scenarios.py`. Values at t = 100 unless noted.
Stocks are normalized to [0, 1]. VFAC is the geometric mean with attention (A);
VFAC01 omits A, as in GADM-0.1. Floor violations are the share of recorded
periods outside G ≥ 0.2, E ≥ 0.2, P ≤ 0.7 and A ≥ 0.2.
| Scenario | VFAC t25 | VFAC | VFAC01 | H | X | Kp | Ko | F | G | N | Q | P | E | S | A | Ystar | B | min G | max P | floor violations |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline (current trends) | 0.504 | 0.461 | 0.442 | 0.53 | 0.27 | 0.36 | 0.47 | 0.48 | 0.44 | 0.34 | 0.44 | 0.52 | 0.65 | 0.50 | 0.65 | 0.53 | 0.59 | 0.44 | 0.52 | none |
| Automated capitalism | 0.370 | 0.317 | 0.294 | 0.41 | 0.18 | 0.13 | 0.53 | 0.42 | 0.28 | 0.12 | 0.38 | 0.73 | 0.72 | 0.31 | 0.58 | 0.50 | 0.33 | 0.28 | 0.73 | P 69% |
| Dividend abundance | 0.473 | 0.445 | 0.427 | 0.51 | 0.26 | 0.38 | 0.64 | 0.51 | 0.45 | 0.31 | 0.42 | 0.54 | 0.59 | 0.51 | 0.62 | 0.60 | 0.69 | 0.45 | 0.54 | none |
| Universal venture access | 0.524 | 0.487 | 0.471 | 0.53 | 0.30 | 0.43 | 0.50 | 0.76 | 0.57 | 0.38 | 0.44 | 0.52 | 0.62 | 0.55 | 0.64 | 0.56 | 0.58 | 0.50 | 0.53 | none |
| Commons-rich economy | 0.568 | 0.544 | 0.535 | 0.55 | 0.66 | 0.51 | 0.55 | 0.49 | 0.47 | 0.52 | 0.49 | 0.48 | 0.59 | 0.51 | 0.62 | 0.60 | 0.57 | 0.47 | 0.48 | none |
| Attention oligopoly | 0.415 | 0.372 | 0.355 | 0.49 | 0.21 | 0.21 | 0.39 | 0.46 | 0.38 | 0.17 | 0.40 | 0.69 | 0.72 | 0.41 | 0.55 | 0.44 | 0.61 | 0.38 | 0.69 | none |
| Generative regime | 0.654 | 0.650 | 0.636 | 0.65 | 0.72 | 0.74 | 0.78 | 0.62 | 0.64 | 0.76 | 0.52 | 0.31 | 0.48 | 0.68 | 0.78 | 0.65 | 0.70 | 0.50 | 0.40 | none |
| Generative regime, concentrated lineages | 0.543 | 0.530 | 0.504 | 0.53 | 0.47 | 0.58 | 0.73 | 0.62 | 0.46 | 0.45 | 0.58 | 0.50 | 0.52 | 0.54 | 0.79 | 0.64 | 0.71 | 0.46 | 0.50 | none |
| Generative regime, attention extraction | 0.582 | 0.575 | 0.594 | 0.60 | 0.64 | 0.64 | 0.74 | 0.62 | 0.60 | 0.68 | 0.54 | 0.41 | 0.51 | 0.60 | 0.45 | 0.64 | 0.71 | 0.50 | 0.41 | none |

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@ -0,0 +1,102 @@
t,H,X,Kp,Ko,F,G,N,Q,P,E,S,A,Ystar,B,V,Vsel,sigma,VFAC,VFAC01
0.0,0.5,0.4,0.5,0.05,0.4,0.5,0.5,0.5,0.4,0.5,0.5,0.5,0.37123,0.69904,0.33894,0.16648,0.49119,0.49774,0.49746
1.0,0.51318,0.39535,0.49524,0.07654,0.45175,0.51688,0.50313,0.50222,0.39039,0.51383,0.51295,0.5316,0.38269,0.69216,0.36749,0.184,0.50068,0.50826,0.50541
2.0,0.52475,0.39193,0.49281,0.10418,0.49625,0.53268,0.50806,0.50402,0.38342,0.52635,0.52568,0.55922,0.39587,0.685,0.39367,0.20025,0.50867,0.51781,0.51286
3.0,0.53477,0.38952,0.49237,0.13258,0.53457,0.54703,0.51414,0.50538,0.3789,0.53758,0.53789,0.58314,0.41035,0.67764,0.41754,0.21513,0.51523,0.52635,0.51965
4.0,0.54331,0.38789,0.49355,0.16137,0.56758,0.55972,0.52075,0.50631,0.3766,0.54757,0.54931,0.60363,0.42569,0.67017,0.43904,0.22849,0.52043,0.53382,0.52568
5.0,0.55048,0.38686,0.49603,0.19018,0.59604,0.57065,0.52737,0.50679,0.3763,0.55634,0.55975,0.62096,0.44147,0.6627,0.45811,0.2402,0.52432,0.5402,0.53087
6.0,0.55636,0.38625,0.49943,0.21866,0.62057,0.57981,0.53359,0.50685,0.37776,0.56396,0.56908,0.6354,0.45726,0.65532,0.47467,0.25016,0.52701,0.54548,0.53518
7.0,0.56106,0.38589,0.50346,0.24645,0.64171,0.58728,0.53907,0.50649,0.38073,0.57049,0.57722,0.64723,0.4727,0.64812,0.48869,0.25832,0.5286,0.54969,0.53858
8.0,0.5647,0.38564,0.50782,0.27326,0.65992,0.59317,0.54358,0.50575,0.38496,0.57601,0.58412,0.65671,0.48749,0.64117,0.50019,0.2647,0.52919,0.55287,0.5411
9.0,0.56737,0.38538,0.51225,0.29884,0.67559,0.59762,0.54696,0.5046,0.3902,0.5806,0.58981,0.6641,0.50139,0.63454,0.50923,0.26933,0.5289,0.55507,0.54276
10.0,0.5692,0.38501,0.51655,0.32298,0.68907,0.60079,0.54915,0.50278,0.39624,0.58436,0.59432,0.66967,0.51423,0.62828,0.5158,0.27222,0.52777,0.55632,0.54358
11.0,0.57029,0.38445,0.52054,0.34551,0.70063,0.60285,0.5501,0.50038,0.40286,0.58737,0.59771,0.67364,0.5259,0.62244,0.52008,0.27352,0.52592,0.55673,0.54362
12.0,0.57073,0.38364,0.52409,0.36633,0.71055,0.60397,0.54987,0.49756,0.40987,0.58973,0.60007,0.67626,0.53635,0.61705,0.52228,0.27342,0.52352,0.55639,0.54298
13.0,0.57064,0.38254,0.5271,0.38539,0.71905,0.6043,0.54853,0.49447,0.4171,0.59153,0.60149,0.67774,0.54557,0.61211,0.52269,0.27216,0.52068,0.5554,0.54176
14.0,0.57009,0.38114,0.52953,0.40269,0.72631,0.60399,0.54617,0.49124,0.42442,0.59284,0.60209,0.67826,0.55359,0.60762,0.52156,0.26993,0.51755,0.55389,0.54004
15.0,0.56917,0.37944,0.53135,0.41828,0.73251,0.60317,0.54291,0.48797,0.43169,0.59376,0.60196,0.67801,0.56049,0.60358,0.51915,0.26695,0.51422,0.55193,0.53792
16.0,0.56796,0.37746,0.53258,0.43222,0.73779,0.60196,0.53888,0.48474,0.43883,0.59436,0.60122,0.67715,0.56634,0.59997,0.51571,0.26341,0.51077,0.54963,0.53548
17.0,0.56651,0.37522,0.53322,0.44461,0.74229,0.60046,0.53421,0.48161,0.44575,0.5947,0.59996,0.6758,0.57124,0.59676,0.51147,0.25947,0.5073,0.54706,0.5328
18.0,0.56488,0.37276,0.53331,0.45555,0.7461,0.59875,0.52902,0.47863,0.4524,0.59483,0.59828,0.6741,0.57529,0.59392,0.50663,0.25526,0.50385,0.54431,0.52995
19.0,0.56313,0.3701,0.53289,0.46515,0.74934,0.59692,0.52343,0.47583,0.45873,0.59482,0.59628,0.67213,0.57856,0.59143,0.50136,0.25091,0.50046,0.54143,0.52699
20.0,0.56129,0.36728,0.53201,0.47353,0.75207,0.59502,0.51754,0.47323,0.46472,0.5947,0.59402,0.66999,0.58117,0.58926,0.49581,0.24651,0.49719,0.53847,0.52396
21.0,0.5594,0.36435,0.53072,0.48081,0.75438,0.59309,0.51145,0.47084,0.47036,0.59451,0.59158,0.66775,0.58318,0.58737,0.49011,0.24214,0.49405,0.5355,0.52092
22.0,0.55749,0.36133,0.52906,0.48709,0.75632,0.59117,0.50525,0.46866,0.47562,0.59428,0.58902,0.66546,0.58469,0.58575,0.48435,0.23785,0.49106,0.53253,0.5179
23.0,0.55559,0.35827,0.52709,0.49248,0.75794,0.5893,0.499,0.46669,0.48052,0.59403,0.5864,0.66317,0.58575,0.58435,0.47863,0.23368,0.48824,0.52961,0.51493
24.0,0.55371,0.35518,0.52485,0.49708,0.75931,0.5875,0.49276,0.46492,0.48506,0.59379,0.58375,0.66092,0.58644,0.58316,0.47299,0.22968,0.48559,0.52676,0.51203
25.0,0.55187,0.35211,0.52239,0.50097,0.76044,0.58577,0.4866,0.46335,0.48925,0.59357,0.58113,0.65874,0.58681,0.58215,0.46751,0.22586,0.48311,0.524,0.50922
26.0,0.55008,0.34906,0.51975,0.50425,0.76138,0.58413,0.48056,0.46196,0.49311,0.59338,0.57855,0.65665,0.58691,0.5813,0.4622,0.22223,0.48081,0.52134,0.50652
27.0,0.54836,0.34607,0.51695,0.50698,0.76216,0.5826,0.47466,0.46067,0.49664,0.59324,0.57604,0.65466,0.58679,0.58059,0.45708,0.21878,0.47866,0.51879,0.50393
28.0,0.54671,0.34314,0.51404,0.50923,0.76279,0.58116,0.46894,0.45938,0.49986,0.59314,0.57363,0.65279,0.58648,0.58001,0.45211,0.21549,0.47663,0.51635,0.50143
29.0,0.54514,0.3403,0.51105,0.51105,0.76331,0.57983,0.46342,0.45811,0.50281,0.5931,0.57132,0.65104,0.58601,0.57954,0.44732,0.21235,0.47473,0.51401,0.49905
30.0,0.54364,0.33753,0.50798,0.51249,0.76373,0.5786,0.4581,0.45687,0.50548,0.59311,0.56913,0.64941,0.58541,0.57916,0.44272,0.20938,0.47294,0.51179,0.49677
31.0,0.54223,0.33486,0.50487,0.5136,0.76406,0.57746,0.453,0.45565,0.50792,0.59317,0.56706,0.64791,0.5847,0.57888,0.43832,0.20657,0.47128,0.50968,0.49462
32.0,0.54091,0.3323,0.50174,0.51442,0.76432,0.57642,0.44812,0.45448,0.51012,0.5933,0.56511,0.64654,0.5839,0.57866,0.43413,0.20393,0.46974,0.50769,0.49258
33.0,0.53967,0.32983,0.49861,0.51499,0.76452,0.57547,0.44347,0.45336,0.51211,0.59348,0.56329,0.64529,0.58303,0.57851,0.43016,0.20145,0.46831,0.50582,0.49065
34.0,0.53851,0.32748,0.49548,0.51534,0.76467,0.57461,0.43904,0.45228,0.51391,0.59371,0.5616,0.64416,0.58212,0.57842,0.42639,0.19912,0.467,0.50407,0.48885
35.0,0.53744,0.32523,0.49238,0.5155,0.76478,0.57383,0.43485,0.45125,0.51552,0.594,0.56004,0.64315,0.58116,0.57838,0.42284,0.19695,0.46578,0.50243,0.48715
36.0,0.53644,0.32309,0.48932,0.5155,0.76485,0.57313,0.43088,0.45028,0.51697,0.59433,0.55859,0.64225,0.58018,0.57838,0.41949,0.19493,0.46467,0.5009,0.48557
37.0,0.53552,0.32106,0.48631,0.51537,0.76489,0.57249,0.42713,0.44935,0.51826,0.59471,0.55727,0.64144,0.57919,0.57842,0.41635,0.19304,0.46366,0.49948,0.4841
38.0,0.53468,0.31914,0.48336,0.51512,0.76491,0.57193,0.4236,0.44848,0.51941,0.59513,0.55606,0.64074,0.57819,0.57848,0.4134,0.19129,0.46273,0.49816,0.48273
39.0,0.53391,0.31733,0.48048,0.51478,0.76491,0.57142,0.42029,0.44767,0.52043,0.59559,0.55495,0.64013,0.5772,0.57857,0.41065,0.18967,0.46189,0.49694,0.48146
40.0,0.5332,0.31562,0.47767,0.51436,0.76489,0.57097,0.41718,0.4469,0.52134,0.59608,0.55395,0.6396,0.57622,0.57868,0.40807,0.18817,0.46113,0.49582,0.48029
41.0,0.53256,0.31401,0.47494,0.51387,0.76486,0.57057,0.41426,0.44618,0.52213,0.5966,0.55304,0.63915,0.57525,0.5788,0.40568,0.18679,0.46044,0.49479,0.4792
42.0,0.53198,0.3125,0.4723,0.51334,0.76481,0.57022,0.41154,0.44551,0.52283,0.59715,0.55222,0.63877,0.57431,0.57894,0.40345,0.18552,0.45982,0.49384,0.47821
43.0,0.53146,0.31109,0.46975,0.51277,0.76476,0.56991,0.409,0.44489,0.52344,0.59773,0.55149,0.63845,0.57339,0.57909,0.40139,0.18434,0.45927,0.49298,0.4773
44.0,0.53099,0.30977,0.46728,0.51217,0.7647,0.56965,0.40664,0.44431,0.52396,0.59832,0.55084,0.6382,0.5725,0.57924,0.39947,0.18327,0.45877,0.49219,0.47646
45.0,0.53058,0.30854,0.46492,0.51156,0.76464,0.56941,0.40445,0.44377,0.52442,0.59893,0.55026,0.638,0.57164,0.5794,0.39771,0.18228,0.45833,0.49147,0.4757
46.0,0.5302,0.30739,0.46265,0.51093,0.76458,0.56921,0.40242,0.44328,0.5248,0.59956,0.54974,0.63785,0.57082,0.57957,0.39607,0.18138,0.45793,0.49082,0.47501
47.0,0.52988,0.30632,0.46047,0.5103,0.76451,0.56904,0.40054,0.44282,0.52513,0.60019,0.54929,0.63774,0.57003,0.57973,0.39457,0.18055,0.45759,0.49024,0.47438
48.0,0.52959,0.30533,0.45839,0.50967,0.76444,0.5689,0.3988,0.4424,0.5254,0.60083,0.5489,0.63767,0.56928,0.57989,0.39319,0.1798,0.45728,0.48971,0.47382
49.0,0.52933,0.30442,0.45641,0.50904,0.76437,0.56878,0.3972,0.44201,0.52562,0.60147,0.54855,0.63763,0.56857,0.58006,0.39193,0.17912,0.45702,0.48924,0.47331
50.0,0.52912,0.30357,0.45452,0.50843,0.7643,0.56868,0.39573,0.44165,0.5258,0.60212,0.54826,0.63762,0.56789,0.58022,0.39077,0.1785,0.45679,0.48882,0.47285
51.0,0.52893,0.30279,0.45272,0.50783,0.76424,0.5686,0.39438,0.44133,0.52595,0.60276,0.548,0.63764,0.56726,0.58037,0.38971,0.17794,0.45659,0.48845,0.47244
52.0,0.52877,0.30207,0.45102,0.50724,0.76417,0.56853,0.39314,0.44103,0.52606,0.6034,0.54779,0.63768,0.56666,0.58052,0.38875,0.17743,0.45642,0.48811,0.47208
53.0,0.52863,0.30141,0.4494,0.50667,0.76411,0.56848,0.39201,0.44076,0.52613,0.60404,0.54761,0.63774,0.56609,0.58067,0.38787,0.17698,0.45627,0.48782,0.47175
54.0,0.52852,0.3008,0.44788,0.50613,0.76405,0.56845,0.39098,0.44051,0.52619,0.60467,0.54746,0.63782,0.56557,0.58081,0.38708,0.17657,0.45615,0.48757,0.47147
55.0,0.52843,0.30024,0.44644,0.5056,0.76399,0.56842,0.39005,0.44029,0.52621,0.60529,0.54735,0.63791,0.56508,0.58095,0.38636,0.1762,0.45605,0.48735,0.47122
56.0,0.52836,0.29974,0.44508,0.50509,0.76393,0.56841,0.3892,0.44008,0.52622,0.6059,0.54725,0.63802,0.56462,0.58108,0.38571,0.17587,0.45597,0.48716,0.471
57.0,0.52831,0.29927,0.4438,0.50461,0.76388,0.5684,0.38843,0.4399,0.52622,0.6065,0.54718,0.63813,0.5642,0.5812,0.38512,0.17558,0.45591,0.487,0.47082
58.0,0.52826,0.29885,0.4426,0.50416,0.76383,0.56841,0.38774,0.43974,0.52619,0.60708,0.54713,0.63825,0.56381,0.58132,0.3846,0.17532,0.45586,0.48686,0.47066
59.0,0.52824,0.29847,0.44148,0.50372,0.76378,0.56841,0.38712,0.43959,0.52616,0.60766,0.5471,0.63837,0.56345,0.58144,0.38413,0.1751,0.45583,0.48674,0.47052
60.0,0.52822,0.29812,0.44043,0.50331,0.76374,0.56843,0.38656,0.43946,0.52611,0.60821,0.54708,0.6385,0.56312,0.58154,0.38371,0.1749,0.4558,0.48665,0.47041
61.0,0.52822,0.29781,0.43944,0.50292,0.7637,0.56845,0.38606,0.43934,0.52606,0.60876,0.54707,0.63863,0.56282,0.58164,0.38334,0.17472,0.45579,0.48658,0.47031
62.0,0.52822,0.29753,0.43852,0.50256,0.76366,0.56847,0.38562,0.43923,0.526,0.60928,0.54708,0.63876,0.56255,0.58174,0.38301,0.17457,0.45578,0.48652,0.47024
63.0,0.52823,0.29727,0.43766,0.50221,0.76362,0.56849,0.38522,0.43914,0.52593,0.60979,0.54709,0.63889,0.5623,0.58183,0.38273,0.17444,0.45578,0.48647,0.47018
64.0,0.52825,0.29705,0.43687,0.50189,0.76359,0.56852,0.38488,0.43906,0.52586,0.61029,0.54712,0.63903,0.56208,0.58191,0.38247,0.17433,0.45579,0.48644,0.47013
65.0,0.52827,0.29684,0.43613,0.50159,0.76356,0.56855,0.38457,0.43899,0.52579,0.61076,0.54715,0.63916,0.56188,0.58199,0.38225,0.17423,0.45581,0.48642,0.4701
66.0,0.52829,0.29666,0.43544,0.50131,0.76353,0.56858,0.38431,0.43892,0.52571,0.61122,0.54719,0.63928,0.5617,0.58206,0.38206,0.17415,0.45583,0.48642,0.47008
67.0,0.52833,0.2965,0.4348,0.50105,0.7635,0.56861,0.38408,0.43887,0.52563,0.61166,0.54723,0.63941,0.56154,0.58213,0.3819,0.17409,0.45585,0.48642,0.47007
68.0,0.52836,0.29636,0.43421,0.50081,0.76348,0.56865,0.38388,0.43882,0.52555,0.61209,0.54727,0.63953,0.56139,0.58219,0.38176,0.17403,0.45588,0.48642,0.47007
69.0,0.52839,0.29624,0.43367,0.50059,0.76346,0.56868,0.38371,0.43878,0.52548,0.61249,0.54732,0.63965,0.56127,0.58225,0.38164,0.17399,0.4559,0.48644,0.47007
70.0,0.52843,0.29613,0.43317,0.50038,0.76344,0.56871,0.38356,0.43875,0.5254,0.61288,0.54737,0.63976,0.56116,0.5823,0.38154,0.17396,0.45594,0.48646,0.47008
71.0,0.52847,0.29603,0.43271,0.50019,0.76342,0.56875,0.38344,0.43872,0.52532,0.61325,0.54742,0.63987,0.56107,0.58235,0.38146,0.17393,0.45597,0.48648,0.4701
72.0,0.52851,0.29595,0.43228,0.50002,0.76341,0.56878,0.38334,0.43869,0.52525,0.61361,0.54748,0.63997,0.56099,0.5824,0.3814,0.17392,0.456,0.48651,0.47012
73.0,0.52855,0.29588,0.4319,0.49986,0.76339,0.56881,0.38326,0.43868,0.52518,0.61395,0.54753,0.64007,0.56092,0.58244,0.38135,0.17391,0.45603,0.48655,0.47015
74.0,0.52859,0.29582,0.43154,0.49971,0.76338,0.56884,0.3832,0.43866,0.52511,0.61427,0.54758,0.64017,0.56086,0.58247,0.38131,0.1739,0.45607,0.48658,0.47018
75.0,0.52863,0.29577,0.43122,0.49958,0.76337,0.56887,0.38315,0.43865,0.52504,0.61458,0.54764,0.64026,0.56081,0.58251,0.38128,0.1739,0.4561,0.48662,0.47021
76.0,0.52867,0.29573,0.43092,0.49946,0.76336,0.5689,0.38311,0.43864,0.52497,0.61487,0.54769,0.64035,0.56078,0.58254,0.38126,0.17391,0.45614,0.48666,0.47024
77.0,0.52871,0.2957,0.43065,0.49935,0.76336,0.56893,0.38309,0.43863,0.52491,0.61515,0.54774,0.64043,0.56075,0.58257,0.38126,0.17392,0.45617,0.4867,0.47028
78.0,0.52875,0.29567,0.43041,0.49925,0.76335,0.56896,0.38307,0.43863,0.52485,0.61541,0.54779,0.6405,0.56073,0.5826,0.38125,0.17393,0.4562,0.48674,0.47032
79.0,0.52878,0.29565,0.43019,0.49916,0.76334,0.56898,0.38307,0.43863,0.5248,0.61566,0.54784,0.64058,0.56071,0.58262,0.38126,0.17394,0.45623,0.48678,0.47035
80.0,0.52882,0.29563,0.42999,0.49907,0.76334,0.56901,0.38307,0.43863,0.52474,0.61589,0.54788,0.64064,0.5607,0.58264,0.38127,0.17396,0.45626,0.48682,0.47039
81.0,0.52885,0.29562,0.42981,0.499,0.76334,0.56903,0.38308,0.43863,0.52469,0.61612,0.54793,0.64071,0.5607,0.58266,0.38128,0.17398,0.45629,0.48686,0.47043
82.0,0.52889,0.29561,0.42964,0.49894,0.76333,0.56905,0.38309,0.43863,0.52464,0.61632,0.54797,0.64077,0.5607,0.58268,0.3813,0.17399,0.45632,0.4869,0.47047
83.0,0.52892,0.29561,0.4295,0.49888,0.76333,0.56907,0.38311,0.43863,0.5246,0.61652,0.54801,0.64082,0.56071,0.58269,0.38132,0.17401,0.45635,0.48694,0.4705
84.0,0.52895,0.29561,0.42937,0.49883,0.76333,0.56909,0.38314,0.43864,0.52456,0.61671,0.54805,0.64087,0.56072,0.5827,0.38134,0.17404,0.45638,0.48697,0.47054
85.0,0.52898,0.29561,0.42925,0.49878,0.76333,0.56911,0.38316,0.43864,0.52452,0.61688,0.54809,0.64092,0.56073,0.58272,0.38137,0.17406,0.4564,0.48701,0.47058
86.0,0.529,0.29562,0.42915,0.49874,0.76333,0.56913,0.38319,0.43865,0.52448,0.61704,0.54812,0.64096,0.56075,0.58273,0.38139,0.17408,0.45642,0.48705,0.47061
87.0,0.52903,0.29562,0.42905,0.49871,0.76333,0.56914,0.38322,0.43866,0.52444,0.6172,0.54815,0.64101,0.56077,0.58273,0.38142,0.1741,0.45645,0.48708,0.47064
88.0,0.52905,0.29563,0.42897,0.49868,0.76333,0.56916,0.38325,0.43866,0.52441,0.61734,0.54819,0.64104,0.56079,0.58274,0.38145,0.17412,0.45647,0.48711,0.47068
89.0,0.52908,0.29564,0.4289,0.49865,0.76333,0.56917,0.38328,0.43867,0.52438,0.61748,0.54822,0.64108,0.56081,0.58275,0.38148,0.17414,0.45649,0.48714,0.47071
90.0,0.5291,0.29565,0.42884,0.49863,0.76334,0.56919,0.38332,0.43868,0.52435,0.6176,0.54824,0.64111,0.56083,0.58276,0.38151,0.17416,0.45651,0.48718,0.47074
91.0,0.52912,0.29566,0.42878,0.49861,0.76334,0.5692,0.38335,0.43868,0.52433,0.61772,0.54827,0.64114,0.56085,0.58276,0.38154,0.17418,0.45652,0.4872,0.47077
92.0,0.52914,0.29567,0.42873,0.4986,0.76334,0.56921,0.38339,0.43869,0.52431,0.61783,0.54829,0.64117,0.56088,0.58276,0.38156,0.1742,0.45654,0.48723,0.47079
93.0,0.52915,0.29568,0.42869,0.49858,0.76334,0.56922,0.38342,0.4387,0.52428,0.61793,0.54831,0.64119,0.5609,0.58277,0.38159,0.17422,0.45656,0.48726,0.47082
94.0,0.52917,0.29569,0.42866,0.49857,0.76335,0.56923,0.38345,0.4387,0.52426,0.61803,0.54834,0.64121,0.56093,0.58277,0.38162,0.17424,0.45657,0.48728,0.47085
95.0,0.52919,0.29571,0.42863,0.49856,0.76335,0.56924,0.38348,0.43871,0.52425,0.61811,0.54835,0.64123,0.56095,0.58277,0.38165,0.17425,0.45658,0.48731,0.47087
96.0,0.5292,0.29572,0.4286,0.49856,0.76335,0.56925,0.38351,0.43872,0.52423,0.6182,0.54837,0.64125,0.56098,0.58277,0.38167,0.17427,0.4566,0.48733,0.47089
97.0,0.52921,0.29573,0.42858,0.49855,0.76335,0.56926,0.38354,0.43872,0.52422,0.61827,0.54839,0.64127,0.561,0.58278,0.3817,0.17429,0.45661,0.48735,0.47091
98.0,0.52922,0.29574,0.42857,0.49855,0.76336,0.56926,0.38357,0.43873,0.5242,0.61834,0.5484,0.64128,0.56102,0.58278,0.38172,0.1743,0.45662,0.48737,0.47093
99.0,0.52924,0.29575,0.42855,0.49855,0.76336,0.56927,0.3836,0.43874,0.52419,0.61841,0.54842,0.64129,0.56105,0.58278,0.38174,0.17432,0.45663,0.48739,0.47095
100.0,0.52925,0.29577,0.42854,0.49855,0.76336,0.56928,0.38363,0.43874,0.52418,0.61847,0.54843,0.64131,0.56107,0.58278,0.38177,0.17433,0.45664,0.4874,0.47097
1 t H X Kp Ko F G N Q P E S A Ystar B V Vsel sigma VFAC VFAC01
2 0.0 0.5 0.4 0.5 0.05 0.4 0.5 0.5 0.5 0.4 0.5 0.5 0.5 0.37123 0.69904 0.33894 0.16648 0.49119 0.49774 0.49746
3 1.0 0.51318 0.39535 0.49524 0.07654 0.45175 0.51688 0.50313 0.50222 0.39039 0.51383 0.51295 0.5316 0.38269 0.69216 0.36749 0.184 0.50068 0.50826 0.50541
4 2.0 0.52475 0.39193 0.49281 0.10418 0.49625 0.53268 0.50806 0.50402 0.38342 0.52635 0.52568 0.55922 0.39587 0.685 0.39367 0.20025 0.50867 0.51781 0.51286
5 3.0 0.53477 0.38952 0.49237 0.13258 0.53457 0.54703 0.51414 0.50538 0.3789 0.53758 0.53789 0.58314 0.41035 0.67764 0.41754 0.21513 0.51523 0.52635 0.51965
6 4.0 0.54331 0.38789 0.49355 0.16137 0.56758 0.55972 0.52075 0.50631 0.3766 0.54757 0.54931 0.60363 0.42569 0.67017 0.43904 0.22849 0.52043 0.53382 0.52568
7 5.0 0.55048 0.38686 0.49603 0.19018 0.59604 0.57065 0.52737 0.50679 0.3763 0.55634 0.55975 0.62096 0.44147 0.6627 0.45811 0.2402 0.52432 0.5402 0.53087
8 6.0 0.55636 0.38625 0.49943 0.21866 0.62057 0.57981 0.53359 0.50685 0.37776 0.56396 0.56908 0.6354 0.45726 0.65532 0.47467 0.25016 0.52701 0.54548 0.53518
9 7.0 0.56106 0.38589 0.50346 0.24645 0.64171 0.58728 0.53907 0.50649 0.38073 0.57049 0.57722 0.64723 0.4727 0.64812 0.48869 0.25832 0.5286 0.54969 0.53858
10 8.0 0.5647 0.38564 0.50782 0.27326 0.65992 0.59317 0.54358 0.50575 0.38496 0.57601 0.58412 0.65671 0.48749 0.64117 0.50019 0.2647 0.52919 0.55287 0.5411
11 9.0 0.56737 0.38538 0.51225 0.29884 0.67559 0.59762 0.54696 0.5046 0.3902 0.5806 0.58981 0.6641 0.50139 0.63454 0.50923 0.26933 0.5289 0.55507 0.54276
12 10.0 0.5692 0.38501 0.51655 0.32298 0.68907 0.60079 0.54915 0.50278 0.39624 0.58436 0.59432 0.66967 0.51423 0.62828 0.5158 0.27222 0.52777 0.55632 0.54358
13 11.0 0.57029 0.38445 0.52054 0.34551 0.70063 0.60285 0.5501 0.50038 0.40286 0.58737 0.59771 0.67364 0.5259 0.62244 0.52008 0.27352 0.52592 0.55673 0.54362
14 12.0 0.57073 0.38364 0.52409 0.36633 0.71055 0.60397 0.54987 0.49756 0.40987 0.58973 0.60007 0.67626 0.53635 0.61705 0.52228 0.27342 0.52352 0.55639 0.54298
15 13.0 0.57064 0.38254 0.5271 0.38539 0.71905 0.6043 0.54853 0.49447 0.4171 0.59153 0.60149 0.67774 0.54557 0.61211 0.52269 0.27216 0.52068 0.5554 0.54176
16 14.0 0.57009 0.38114 0.52953 0.40269 0.72631 0.60399 0.54617 0.49124 0.42442 0.59284 0.60209 0.67826 0.55359 0.60762 0.52156 0.26993 0.51755 0.55389 0.54004
17 15.0 0.56917 0.37944 0.53135 0.41828 0.73251 0.60317 0.54291 0.48797 0.43169 0.59376 0.60196 0.67801 0.56049 0.60358 0.51915 0.26695 0.51422 0.55193 0.53792
18 16.0 0.56796 0.37746 0.53258 0.43222 0.73779 0.60196 0.53888 0.48474 0.43883 0.59436 0.60122 0.67715 0.56634 0.59997 0.51571 0.26341 0.51077 0.54963 0.53548
19 17.0 0.56651 0.37522 0.53322 0.44461 0.74229 0.60046 0.53421 0.48161 0.44575 0.5947 0.59996 0.6758 0.57124 0.59676 0.51147 0.25947 0.5073 0.54706 0.5328
20 18.0 0.56488 0.37276 0.53331 0.45555 0.7461 0.59875 0.52902 0.47863 0.4524 0.59483 0.59828 0.6741 0.57529 0.59392 0.50663 0.25526 0.50385 0.54431 0.52995
21 19.0 0.56313 0.3701 0.53289 0.46515 0.74934 0.59692 0.52343 0.47583 0.45873 0.59482 0.59628 0.67213 0.57856 0.59143 0.50136 0.25091 0.50046 0.54143 0.52699
22 20.0 0.56129 0.36728 0.53201 0.47353 0.75207 0.59502 0.51754 0.47323 0.46472 0.5947 0.59402 0.66999 0.58117 0.58926 0.49581 0.24651 0.49719 0.53847 0.52396
23 21.0 0.5594 0.36435 0.53072 0.48081 0.75438 0.59309 0.51145 0.47084 0.47036 0.59451 0.59158 0.66775 0.58318 0.58737 0.49011 0.24214 0.49405 0.5355 0.52092
24 22.0 0.55749 0.36133 0.52906 0.48709 0.75632 0.59117 0.50525 0.46866 0.47562 0.59428 0.58902 0.66546 0.58469 0.58575 0.48435 0.23785 0.49106 0.53253 0.5179
25 23.0 0.55559 0.35827 0.52709 0.49248 0.75794 0.5893 0.499 0.46669 0.48052 0.59403 0.5864 0.66317 0.58575 0.58435 0.47863 0.23368 0.48824 0.52961 0.51493
26 24.0 0.55371 0.35518 0.52485 0.49708 0.75931 0.5875 0.49276 0.46492 0.48506 0.59379 0.58375 0.66092 0.58644 0.58316 0.47299 0.22968 0.48559 0.52676 0.51203
27 25.0 0.55187 0.35211 0.52239 0.50097 0.76044 0.58577 0.4866 0.46335 0.48925 0.59357 0.58113 0.65874 0.58681 0.58215 0.46751 0.22586 0.48311 0.524 0.50922
28 26.0 0.55008 0.34906 0.51975 0.50425 0.76138 0.58413 0.48056 0.46196 0.49311 0.59338 0.57855 0.65665 0.58691 0.5813 0.4622 0.22223 0.48081 0.52134 0.50652
29 27.0 0.54836 0.34607 0.51695 0.50698 0.76216 0.5826 0.47466 0.46067 0.49664 0.59324 0.57604 0.65466 0.58679 0.58059 0.45708 0.21878 0.47866 0.51879 0.50393
30 28.0 0.54671 0.34314 0.51404 0.50923 0.76279 0.58116 0.46894 0.45938 0.49986 0.59314 0.57363 0.65279 0.58648 0.58001 0.45211 0.21549 0.47663 0.51635 0.50143
31 29.0 0.54514 0.3403 0.51105 0.51105 0.76331 0.57983 0.46342 0.45811 0.50281 0.5931 0.57132 0.65104 0.58601 0.57954 0.44732 0.21235 0.47473 0.51401 0.49905
32 30.0 0.54364 0.33753 0.50798 0.51249 0.76373 0.5786 0.4581 0.45687 0.50548 0.59311 0.56913 0.64941 0.58541 0.57916 0.44272 0.20938 0.47294 0.51179 0.49677
33 31.0 0.54223 0.33486 0.50487 0.5136 0.76406 0.57746 0.453 0.45565 0.50792 0.59317 0.56706 0.64791 0.5847 0.57888 0.43832 0.20657 0.47128 0.50968 0.49462
34 32.0 0.54091 0.3323 0.50174 0.51442 0.76432 0.57642 0.44812 0.45448 0.51012 0.5933 0.56511 0.64654 0.5839 0.57866 0.43413 0.20393 0.46974 0.50769 0.49258
35 33.0 0.53967 0.32983 0.49861 0.51499 0.76452 0.57547 0.44347 0.45336 0.51211 0.59348 0.56329 0.64529 0.58303 0.57851 0.43016 0.20145 0.46831 0.50582 0.49065
36 34.0 0.53851 0.32748 0.49548 0.51534 0.76467 0.57461 0.43904 0.45228 0.51391 0.59371 0.5616 0.64416 0.58212 0.57842 0.42639 0.19912 0.467 0.50407 0.48885
37 35.0 0.53744 0.32523 0.49238 0.5155 0.76478 0.57383 0.43485 0.45125 0.51552 0.594 0.56004 0.64315 0.58116 0.57838 0.42284 0.19695 0.46578 0.50243 0.48715
38 36.0 0.53644 0.32309 0.48932 0.5155 0.76485 0.57313 0.43088 0.45028 0.51697 0.59433 0.55859 0.64225 0.58018 0.57838 0.41949 0.19493 0.46467 0.5009 0.48557
39 37.0 0.53552 0.32106 0.48631 0.51537 0.76489 0.57249 0.42713 0.44935 0.51826 0.59471 0.55727 0.64144 0.57919 0.57842 0.41635 0.19304 0.46366 0.49948 0.4841
40 38.0 0.53468 0.31914 0.48336 0.51512 0.76491 0.57193 0.4236 0.44848 0.51941 0.59513 0.55606 0.64074 0.57819 0.57848 0.4134 0.19129 0.46273 0.49816 0.48273
41 39.0 0.53391 0.31733 0.48048 0.51478 0.76491 0.57142 0.42029 0.44767 0.52043 0.59559 0.55495 0.64013 0.5772 0.57857 0.41065 0.18967 0.46189 0.49694 0.48146
42 40.0 0.5332 0.31562 0.47767 0.51436 0.76489 0.57097 0.41718 0.4469 0.52134 0.59608 0.55395 0.6396 0.57622 0.57868 0.40807 0.18817 0.46113 0.49582 0.48029
43 41.0 0.53256 0.31401 0.47494 0.51387 0.76486 0.57057 0.41426 0.44618 0.52213 0.5966 0.55304 0.63915 0.57525 0.5788 0.40568 0.18679 0.46044 0.49479 0.4792
44 42.0 0.53198 0.3125 0.4723 0.51334 0.76481 0.57022 0.41154 0.44551 0.52283 0.59715 0.55222 0.63877 0.57431 0.57894 0.40345 0.18552 0.45982 0.49384 0.47821
45 43.0 0.53146 0.31109 0.46975 0.51277 0.76476 0.56991 0.409 0.44489 0.52344 0.59773 0.55149 0.63845 0.57339 0.57909 0.40139 0.18434 0.45927 0.49298 0.4773
46 44.0 0.53099 0.30977 0.46728 0.51217 0.7647 0.56965 0.40664 0.44431 0.52396 0.59832 0.55084 0.6382 0.5725 0.57924 0.39947 0.18327 0.45877 0.49219 0.47646
47 45.0 0.53058 0.30854 0.46492 0.51156 0.76464 0.56941 0.40445 0.44377 0.52442 0.59893 0.55026 0.638 0.57164 0.5794 0.39771 0.18228 0.45833 0.49147 0.4757
48 46.0 0.5302 0.30739 0.46265 0.51093 0.76458 0.56921 0.40242 0.44328 0.5248 0.59956 0.54974 0.63785 0.57082 0.57957 0.39607 0.18138 0.45793 0.49082 0.47501
49 47.0 0.52988 0.30632 0.46047 0.5103 0.76451 0.56904 0.40054 0.44282 0.52513 0.60019 0.54929 0.63774 0.57003 0.57973 0.39457 0.18055 0.45759 0.49024 0.47438
50 48.0 0.52959 0.30533 0.45839 0.50967 0.76444 0.5689 0.3988 0.4424 0.5254 0.60083 0.5489 0.63767 0.56928 0.57989 0.39319 0.1798 0.45728 0.48971 0.47382
51 49.0 0.52933 0.30442 0.45641 0.50904 0.76437 0.56878 0.3972 0.44201 0.52562 0.60147 0.54855 0.63763 0.56857 0.58006 0.39193 0.17912 0.45702 0.48924 0.47331
52 50.0 0.52912 0.30357 0.45452 0.50843 0.7643 0.56868 0.39573 0.44165 0.5258 0.60212 0.54826 0.63762 0.56789 0.58022 0.39077 0.1785 0.45679 0.48882 0.47285
53 51.0 0.52893 0.30279 0.45272 0.50783 0.76424 0.5686 0.39438 0.44133 0.52595 0.60276 0.548 0.63764 0.56726 0.58037 0.38971 0.17794 0.45659 0.48845 0.47244
54 52.0 0.52877 0.30207 0.45102 0.50724 0.76417 0.56853 0.39314 0.44103 0.52606 0.6034 0.54779 0.63768 0.56666 0.58052 0.38875 0.17743 0.45642 0.48811 0.47208
55 53.0 0.52863 0.30141 0.4494 0.50667 0.76411 0.56848 0.39201 0.44076 0.52613 0.60404 0.54761 0.63774 0.56609 0.58067 0.38787 0.17698 0.45627 0.48782 0.47175
56 54.0 0.52852 0.3008 0.44788 0.50613 0.76405 0.56845 0.39098 0.44051 0.52619 0.60467 0.54746 0.63782 0.56557 0.58081 0.38708 0.17657 0.45615 0.48757 0.47147
57 55.0 0.52843 0.30024 0.44644 0.5056 0.76399 0.56842 0.39005 0.44029 0.52621 0.60529 0.54735 0.63791 0.56508 0.58095 0.38636 0.1762 0.45605 0.48735 0.47122
58 56.0 0.52836 0.29974 0.44508 0.50509 0.76393 0.56841 0.3892 0.44008 0.52622 0.6059 0.54725 0.63802 0.56462 0.58108 0.38571 0.17587 0.45597 0.48716 0.471
59 57.0 0.52831 0.29927 0.4438 0.50461 0.76388 0.5684 0.38843 0.4399 0.52622 0.6065 0.54718 0.63813 0.5642 0.5812 0.38512 0.17558 0.45591 0.487 0.47082
60 58.0 0.52826 0.29885 0.4426 0.50416 0.76383 0.56841 0.38774 0.43974 0.52619 0.60708 0.54713 0.63825 0.56381 0.58132 0.3846 0.17532 0.45586 0.48686 0.47066
61 59.0 0.52824 0.29847 0.44148 0.50372 0.76378 0.56841 0.38712 0.43959 0.52616 0.60766 0.5471 0.63837 0.56345 0.58144 0.38413 0.1751 0.45583 0.48674 0.47052
62 60.0 0.52822 0.29812 0.44043 0.50331 0.76374 0.56843 0.38656 0.43946 0.52611 0.60821 0.54708 0.6385 0.56312 0.58154 0.38371 0.1749 0.4558 0.48665 0.47041
63 61.0 0.52822 0.29781 0.43944 0.50292 0.7637 0.56845 0.38606 0.43934 0.52606 0.60876 0.54707 0.63863 0.56282 0.58164 0.38334 0.17472 0.45579 0.48658 0.47031
64 62.0 0.52822 0.29753 0.43852 0.50256 0.76366 0.56847 0.38562 0.43923 0.526 0.60928 0.54708 0.63876 0.56255 0.58174 0.38301 0.17457 0.45578 0.48652 0.47024
65 63.0 0.52823 0.29727 0.43766 0.50221 0.76362 0.56849 0.38522 0.43914 0.52593 0.60979 0.54709 0.63889 0.5623 0.58183 0.38273 0.17444 0.45578 0.48647 0.47018
66 64.0 0.52825 0.29705 0.43687 0.50189 0.76359 0.56852 0.38488 0.43906 0.52586 0.61029 0.54712 0.63903 0.56208 0.58191 0.38247 0.17433 0.45579 0.48644 0.47013
67 65.0 0.52827 0.29684 0.43613 0.50159 0.76356 0.56855 0.38457 0.43899 0.52579 0.61076 0.54715 0.63916 0.56188 0.58199 0.38225 0.17423 0.45581 0.48642 0.4701
68 66.0 0.52829 0.29666 0.43544 0.50131 0.76353 0.56858 0.38431 0.43892 0.52571 0.61122 0.54719 0.63928 0.5617 0.58206 0.38206 0.17415 0.45583 0.48642 0.47008
69 67.0 0.52833 0.2965 0.4348 0.50105 0.7635 0.56861 0.38408 0.43887 0.52563 0.61166 0.54723 0.63941 0.56154 0.58213 0.3819 0.17409 0.45585 0.48642 0.47007
70 68.0 0.52836 0.29636 0.43421 0.50081 0.76348 0.56865 0.38388 0.43882 0.52555 0.61209 0.54727 0.63953 0.56139 0.58219 0.38176 0.17403 0.45588 0.48642 0.47007
71 69.0 0.52839 0.29624 0.43367 0.50059 0.76346 0.56868 0.38371 0.43878 0.52548 0.61249 0.54732 0.63965 0.56127 0.58225 0.38164 0.17399 0.4559 0.48644 0.47007
72 70.0 0.52843 0.29613 0.43317 0.50038 0.76344 0.56871 0.38356 0.43875 0.5254 0.61288 0.54737 0.63976 0.56116 0.5823 0.38154 0.17396 0.45594 0.48646 0.47008
73 71.0 0.52847 0.29603 0.43271 0.50019 0.76342 0.56875 0.38344 0.43872 0.52532 0.61325 0.54742 0.63987 0.56107 0.58235 0.38146 0.17393 0.45597 0.48648 0.4701
74 72.0 0.52851 0.29595 0.43228 0.50002 0.76341 0.56878 0.38334 0.43869 0.52525 0.61361 0.54748 0.63997 0.56099 0.5824 0.3814 0.17392 0.456 0.48651 0.47012
75 73.0 0.52855 0.29588 0.4319 0.49986 0.76339 0.56881 0.38326 0.43868 0.52518 0.61395 0.54753 0.64007 0.56092 0.58244 0.38135 0.17391 0.45603 0.48655 0.47015
76 74.0 0.52859 0.29582 0.43154 0.49971 0.76338 0.56884 0.3832 0.43866 0.52511 0.61427 0.54758 0.64017 0.56086 0.58247 0.38131 0.1739 0.45607 0.48658 0.47018
77 75.0 0.52863 0.29577 0.43122 0.49958 0.76337 0.56887 0.38315 0.43865 0.52504 0.61458 0.54764 0.64026 0.56081 0.58251 0.38128 0.1739 0.4561 0.48662 0.47021
78 76.0 0.52867 0.29573 0.43092 0.49946 0.76336 0.5689 0.38311 0.43864 0.52497 0.61487 0.54769 0.64035 0.56078 0.58254 0.38126 0.17391 0.45614 0.48666 0.47024
79 77.0 0.52871 0.2957 0.43065 0.49935 0.76336 0.56893 0.38309 0.43863 0.52491 0.61515 0.54774 0.64043 0.56075 0.58257 0.38126 0.17392 0.45617 0.4867 0.47028
80 78.0 0.52875 0.29567 0.43041 0.49925 0.76335 0.56896 0.38307 0.43863 0.52485 0.61541 0.54779 0.6405 0.56073 0.5826 0.38125 0.17393 0.4562 0.48674 0.47032
81 79.0 0.52878 0.29565 0.43019 0.49916 0.76334 0.56898 0.38307 0.43863 0.5248 0.61566 0.54784 0.64058 0.56071 0.58262 0.38126 0.17394 0.45623 0.48678 0.47035
82 80.0 0.52882 0.29563 0.42999 0.49907 0.76334 0.56901 0.38307 0.43863 0.52474 0.61589 0.54788 0.64064 0.5607 0.58264 0.38127 0.17396 0.45626 0.48682 0.47039
83 81.0 0.52885 0.29562 0.42981 0.499 0.76334 0.56903 0.38308 0.43863 0.52469 0.61612 0.54793 0.64071 0.5607 0.58266 0.38128 0.17398 0.45629 0.48686 0.47043
84 82.0 0.52889 0.29561 0.42964 0.49894 0.76333 0.56905 0.38309 0.43863 0.52464 0.61632 0.54797 0.64077 0.5607 0.58268 0.3813 0.17399 0.45632 0.4869 0.47047
85 83.0 0.52892 0.29561 0.4295 0.49888 0.76333 0.56907 0.38311 0.43863 0.5246 0.61652 0.54801 0.64082 0.56071 0.58269 0.38132 0.17401 0.45635 0.48694 0.4705
86 84.0 0.52895 0.29561 0.42937 0.49883 0.76333 0.56909 0.38314 0.43864 0.52456 0.61671 0.54805 0.64087 0.56072 0.5827 0.38134 0.17404 0.45638 0.48697 0.47054
87 85.0 0.52898 0.29561 0.42925 0.49878 0.76333 0.56911 0.38316 0.43864 0.52452 0.61688 0.54809 0.64092 0.56073 0.58272 0.38137 0.17406 0.4564 0.48701 0.47058
88 86.0 0.529 0.29562 0.42915 0.49874 0.76333 0.56913 0.38319 0.43865 0.52448 0.61704 0.54812 0.64096 0.56075 0.58273 0.38139 0.17408 0.45642 0.48705 0.47061
89 87.0 0.52903 0.29562 0.42905 0.49871 0.76333 0.56914 0.38322 0.43866 0.52444 0.6172 0.54815 0.64101 0.56077 0.58273 0.38142 0.1741 0.45645 0.48708 0.47064
90 88.0 0.52905 0.29563 0.42897 0.49868 0.76333 0.56916 0.38325 0.43866 0.52441 0.61734 0.54819 0.64104 0.56079 0.58274 0.38145 0.17412 0.45647 0.48711 0.47068
91 89.0 0.52908 0.29564 0.4289 0.49865 0.76333 0.56917 0.38328 0.43867 0.52438 0.61748 0.54822 0.64108 0.56081 0.58275 0.38148 0.17414 0.45649 0.48714 0.47071
92 90.0 0.5291 0.29565 0.42884 0.49863 0.76334 0.56919 0.38332 0.43868 0.52435 0.6176 0.54824 0.64111 0.56083 0.58276 0.38151 0.17416 0.45651 0.48718 0.47074
93 91.0 0.52912 0.29566 0.42878 0.49861 0.76334 0.5692 0.38335 0.43868 0.52433 0.61772 0.54827 0.64114 0.56085 0.58276 0.38154 0.17418 0.45652 0.4872 0.47077
94 92.0 0.52914 0.29567 0.42873 0.4986 0.76334 0.56921 0.38339 0.43869 0.52431 0.61783 0.54829 0.64117 0.56088 0.58276 0.38156 0.1742 0.45654 0.48723 0.47079
95 93.0 0.52915 0.29568 0.42869 0.49858 0.76334 0.56922 0.38342 0.4387 0.52428 0.61793 0.54831 0.64119 0.5609 0.58277 0.38159 0.17422 0.45656 0.48726 0.47082
96 94.0 0.52917 0.29569 0.42866 0.49857 0.76335 0.56923 0.38345 0.4387 0.52426 0.61803 0.54834 0.64121 0.56093 0.58277 0.38162 0.17424 0.45657 0.48728 0.47085
97 95.0 0.52919 0.29571 0.42863 0.49856 0.76335 0.56924 0.38348 0.43871 0.52425 0.61811 0.54835 0.64123 0.56095 0.58277 0.38165 0.17425 0.45658 0.48731 0.47087
98 96.0 0.5292 0.29572 0.4286 0.49856 0.76335 0.56925 0.38351 0.43872 0.52423 0.6182 0.54837 0.64125 0.56098 0.58277 0.38167 0.17427 0.4566 0.48733 0.47089
99 97.0 0.52921 0.29573 0.42858 0.49855 0.76335 0.56926 0.38354 0.43872 0.52422 0.61827 0.54839 0.64127 0.561 0.58278 0.3817 0.17429 0.45661 0.48735 0.47091
100 98.0 0.52922 0.29574 0.42857 0.49855 0.76336 0.56926 0.38357 0.43873 0.5242 0.61834 0.5484 0.64128 0.56102 0.58278 0.38172 0.1743 0.45662 0.48737 0.47093
101 99.0 0.52924 0.29575 0.42855 0.49855 0.76336 0.56927 0.3836 0.43874 0.52419 0.61841 0.54842 0.64129 0.56105 0.58278 0.38174 0.17432 0.45663 0.48739 0.47095
102 100.0 0.52925 0.29577 0.42854 0.49855 0.76336 0.56928 0.38363 0.43874 0.52418 0.61847 0.54843 0.64131 0.56107 0.58278 0.38177 0.17433 0.45664 0.4874 0.47097

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@ -0,0 +1,51 @@
"""Run all scenarios and write CSV trajectories plus a Markdown summary.
Usage: python3 simulations/gadm02/run_scenarios.py
"""
from __future__ import annotations
import csv
from pathlib import Path
import gadm02 as g
from scenarios import load_all
OUT = Path(__file__).resolve().parent / "results"
COLS = ["H", "X", "Kp", "Ko", "F", "G", "N", "Q", "P", "E", "S", "A", "Ystar", "B"]
def main() -> None:
OUT.mkdir(exist_ok=True)
lines = [
f"# {g.MODEL_VERSION} scenario results",
"",
"Generated by `simulations/gadm02/run_scenarios.py`. Values at t = 100 unless noted.",
"Stocks are normalized to [0, 1]. VFAC is the geometric mean with attention (A);",
"VFAC01 omits A, as in GADM-0.1. Floor violations are the share of recorded",
"periods outside G ≥ 0.2, E ≥ 0.2, P ≤ 0.7 and A ≥ 0.2.",
"",
"| Scenario | VFAC t25 | VFAC | VFAC01 | " + " | ".join(COLS) + " | min G | max P | floor violations |",
"|---|" + "---|" * (len(COLS) + 6),
]
for name, sc in load_all().items():
rows = g.simulate(sc["params"], sc["init"])
with open(OUT / f"{name}.csv", "w", newline="") as fh:
w = csv.DictWriter(fh, fieldnames=list(rows[0].keys()))
w.writeheader()
for r in rows:
w.writerow({k: (round(v, 5) if isinstance(v, float) else v) for k, v in r.items()})
last, t25 = rows[-1], next(r for r in rows if r["t"] >= 25)
viol = g.floor_violations(rows)
vtxt = ", ".join(f"{k} {v:.0%}" for k, v in viol.items() if v > 0) or "none"
lines.append(
f"| {sc['title']} | {t25['VFAC']:.3f} | {last['VFAC']:.3f} | {last['VFAC01']:.3f} | "
+ " | ".join(f"{last[c]:.2f}" for c in COLS)
+ f" | {min(r['G'] for r in rows):.2f} | {max(r['P'] for r in rows):.2f} | {vtxt} |"
)
(OUT / "summary.md").write_text("\n".join(lines) + "\n")
print("\n".join(lines))
if __name__ == "__main__":
main()

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@ -0,0 +1,29 @@
"""Load scenario definitions from scenarios/*.json (with single-level `extends`)."""
from __future__ import annotations
import json
from pathlib import Path
ROOT = Path(__file__).resolve().parents[2]
SCENARIO_DIR = ROOT / "scenarios"
ORDER = [
"baseline", "automated_capitalism", "dividend_abundance", "universal_venture_access",
"commons_rich", "attention_oligopoly", "generative_regime",
"generative_concentrated_lineages", "generative_attention_extraction",
]
def load_all() -> dict[str, dict]:
raw = {p.stem: json.loads(p.read_text()) for p in sorted(SCENARIO_DIR.glob("*.json"))}
out = {}
for name, sc in raw.items():
params, init = dict(sc.get("params", {})), dict(sc.get("init", {}))
if "extends" in sc:
base = raw[sc["extends"]]
params = {**base.get("params", {}), **params}
init = {**base.get("init", {}), **init}
out[name] = {**sc, "params": params, "init": init}
ordered = [n for n in ORDER if n in out] + sorted(set(out) - set(ORDER))
return {n: out[n] for n in ordered}

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@ -0,0 +1,60 @@
"""One-at-a-time sensitivity of final VFAC to every parameter (±20 %).
Usage: python3 simulations/gadm02/sensitivity.py
"""
from __future__ import annotations
from pathlib import Path
import gadm02 as g
from scenarios import load_all
OUT = Path(__file__).resolve().parent / "results"
LEVERS = {"m", "L", "lin_open", "std", "disc", "expl", "x_att", "auto", "dshare", "cp", "od"}
DELTA = 0.20
TOP = 15
def final_vfac(params: dict, init: dict) -> float:
return g.simulate(params, init)[-1]["VFAC"]
def analyse(sc: dict) -> list[tuple[str, float, float, float]]:
base_p = {**g.PARAMS, **sc["params"]}
v0 = final_vfac(base_p, sc["init"])
res = []
for k, val in base_p.items():
lo, hi = val * (1 - DELTA), val * (1 + DELTA)
if k in LEVERS:
hi = min(hi, 1.0)
if val == 0:
lo, hi = 0.0, 0.05
d_lo = final_vfac({**base_p, k: lo}, sc["init"]) - v0
d_hi = final_vfac({**base_p, k: hi}, sc["init"]) - v0
res.append((k, d_lo, d_hi, max(abs(d_lo), abs(d_hi))))
res.sort(key=lambda r: -r[3])
return v0, res
def main() -> None:
OUT.mkdir(exist_ok=True)
scs = load_all()
lines = [f"# {g.MODEL_VERSION} sensitivity (one-at-a-time, ±{DELTA:.0%})", "",
"Generated by `simulations/gadm02/sensitivity.py`. ΔVFAC is the change in",
"final VFAC (t = 100) when one parameter moves down or up by 20 %, all others",
"fixed. Levers in [0, 1] are capped at 1. Zero-valued parameters are tested at",
"0.05. One-at-a-time analysis misses interactions.", ""]
for name in ("baseline", "generative_regime"):
v0, res = analyse(scs[name])
rank = {r[0]: i + 1 for i, r in enumerate(res)}
lines += [f"## {scs[name]['title']} (VFAC = {v0:.3f})", "",
"| Rank | Parameter | ΔVFAC at −20 % | ΔVFAC at +20 % |", "|---|---|---|---|"]
lines += [f"| {i + 1} | `{k}` | {lo:+.4f} | {hi:+.4f} |" for i, (k, lo, hi, _) in enumerate(res[:TOP])]
lines += ["", f"Reuse coefficient `rho0` ranks {rank['rho0']} of {len(res)}.", ""]
(OUT / "sensitivity.md").write_text("\n".join(lines))
print("\n".join(lines))
if __name__ == "__main__":
main()

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@ -0,0 +1,50 @@
"""Sanity tests for the GADM-0.2 toy simulation.
Usage: python3 -m unittest discover -s simulations/gadm02
"""
import unittest
import gadm02 as g
from scenarios import load_all
class TestGADM02(unittest.TestCase):
def test_stocks_stay_bounded_in_all_scenarios(self):
for name, sc in load_all().items():
for row in g.simulate(sc["params"], sc["init"]):
for k in g.STOCKS:
self.assertGreaterEqual(row[k], 0.0, (name, k))
self.assertLessEqual(row[k], 1.0, (name, k))
def test_deterministic(self):
self.assertEqual(g.simulate(), g.simulate())
def test_unknown_parameter_rejected(self):
with self.assertRaises(KeyError):
g.simulate({"not_a_param": 1.0})
def test_vfac_is_geometric_mean(self):
s = {k: 0.5 for k in g.STOCKS}
self.assertAlmostEqual(g.vfac(s), 0.5)
s["E"] = 0.0
self.assertEqual(g.vfac(s), 0.0) # full collapse in one factor collapses VFAC
s["E"] = 0.01
# equal exponents damp near-collapse: (0.01/0.5)^(1/9) ≈ 0.65 of the level,
# which is why constitutional floors are checked separately from VFAC
self.assertAlmostEqual(g.vfac(s), 0.5 * (0.02 ** (1 / 9)), places=6)
def test_scenarios_only_use_known_parameters(self):
for name, sc in load_all().items():
self.assertFalse(set(sc["params"]) - set(g.PARAMS), name)
def test_floor_violations(self):
rows = [{"G": 0.1, "E": 0.5, "P": 0.8, "A": 0.5}, {"G": 0.5, "E": 0.5, "P": 0.5, "A": 0.5}]
v = g.floor_violations(rows)
self.assertEqual(v["G"], 0.5)
self.assertEqual(v["P"], 0.5)
self.assertEqual(v["E"], 0.0)
if __name__ == "__main__":
unittest.main()

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@ -4,7 +4,7 @@ type: workplan
title: "GADM-0.2: causal structure, first simulation and scenarios"
domain: communication
repo: assembly-economics
status: proposed
status: finished
flavor: implementation
depends_on: [ASSEMBLY-WP-0002, ASSEMBLY-WP-0003]
owner: claude-code
@ -26,7 +26,7 @@ extensions. The outputs are hypothesis generators, not predictions
```task
id: ASSEMBLY-WP-0004-T01
status: todo
status: done
priority: high
state_hub_task_id: "a238f7ca-247a-5e9c-8d83-fb377dd087bf"
```
@ -39,7 +39,7 @@ or text diagram) and identify the reinforcing and balancing loops.
```task
id: ASSEMBLY-WP-0004-T02
status: todo
status: done
priority: high
state_hub_task_id: "086b54e0-4bc1-5a7b-943a-a120a86eb9f1"
```
@ -51,7 +51,7 @@ confidence and source section, and flag links whose sign is contested.
```task
id: ASSEMBLY-WP-0004-T03
status: todo
status: done
priority: high
state_hub_task_id: "6dacf4f6-aed9-5264-850e-8cc512d9203f"
```
@ -66,7 +66,7 @@ the model.
```task
id: ASSEMBLY-WP-0004-T04
status: todo
status: done
priority: high
state_hub_task_id: "6d145fe9-098e-50ea-a7d2-e7009779dec4"
```
@ -79,7 +79,7 @@ runs. The simulation must name the model version it implements.
```task
id: ASSEMBLY-WP-0004-T05
status: todo
status: done
priority: medium
state_hub_task_id: "7ad27691-37f6-5423-9cc0-782af817104e"
```
@ -93,7 +93,7 @@ oligopoly, and the generative regime. Store scenario definitions in
```task
id: ASSEMBLY-WP-0004-T06
status: todo
status: done
priority: medium
state_hub_task_id: "477a9e29-353b-5def-973b-f9db03e8826a"
```
@ -106,7 +106,7 @@ coefficient ρ that GADM-0.1 flags as critical.
```task
id: ASSEMBLY-WP-0004-T07
status: todo
status: done
priority: medium
state_hub_task_id: "46f4213e-135f-5d90-86a8-1f4159b852cc"
```
@ -120,7 +120,7 @@ Goodhart risks. Include the attention-headroom risk from the mapping note
```task
id: ASSEMBLY-WP-0004-T08
status: todo
status: done
priority: low
state_hub_task_id: "89087ab4-054b-5828-881b-a54c00fe4696"
```
@ -133,7 +133,7 @@ control) as GADM-0.3 candidates.
```task
id: ASSEMBLY-WP-0004-T09
status: todo
status: done
priority: low
state_hub_task_id: "d7334ae6-e358-56ed-acb1-7d4b2ae9b3fd"
```
@ -141,3 +141,27 @@ state_hub_task_id: "d7334ae6-e358-56ed-acb1-7d4b2ae9b3fd"
INTENT next step 10. Compare the framework against economics, systems theory,
complexity science, institutional economics, political economy, development
theory, and Assembly Theory. Store the comparison in `references/`.
## Outcome
- T01/T02: `models/GADM-CLD.md` has the Mermaid causal-loop diagram, 14
loops, and a 49-link signed table with confidence ratings.
- T03: `models/GADM-0.2.md` § 1. Adopted: K split, attention headroom A,
organism selection channel O, membrane and lineage levers, participation
claims. Deferred: compute as a stock, and cohorts.
- T04: `simulations/gadm02/` holds the standard-library simulation and 6
unit tests.
- T05: nine scenarios in `scenarios/`: the six from GADM-0.1 plus a baseline
and two organism-axis variants. Results are in
`simulations/gadm02/results/summary.md`; readings in `GADM-0.2.md` § 4.
- T06: one-at-a-time sensitivity in `results/sensitivity.md`. Under baseline
governance, organism learning lowers VFAC. In the generative regime, the
membrane-control and lineage-diffusion levers dominate. ρ alone is not a top
driver; reuse works as a bundle.
- T07: `metrics/MetricsCatalog.md`.
- T08: `models/GADM-0.3-Candidates.md`.
- T09: `references/LiteratureComparison.md` (bibliographic details still
unverified).
Residual: ASSEMBLY-WP-0005 (GADM-0.3, proposed) carries the deferred items,
global sensitivity analysis, and literature verification.

View file

@ -0,0 +1,89 @@
---
id: ASSEMBLY-WP-0005
type: workplan
title: "GADM-0.3: global sensitivity, power channels, cohorts"
domain: communication
repo: assembly-economics
status: proposed
flavor: residual
depends_on: [ASSEMBLY-WP-0004]
owner: claude-code
topic_slug: coulomb-social
created: "2026-10-12"
updated: "2026-10-12"
---
# GADM-0.3: global sensitivity, power channels, cohorts
Residual of ASSEMBLY-WP-0004. Follows the suggested order in
`models/GADM-0.3-Candidates.md` § 4. Not to be started until it is promoted
to `ready`.
## Fix time unit and add global sensitivity analysis
```task
id: ASSEMBLY-WP-0005-T01
status: todo
priority: high
```
Set one period = one year. Add Morris screening, then Sobol indices for the
top parameters, to `simulations/`. Re-check the GADM-0.2 readings, especially
the "reuse as a bundle" interaction.
## Verify the literature comparison
```task
id: ASSEMBLY-WP-0005-T02
status: todo
priority: high
```
Verify every bibliographic detail in `references/LiteratureComparison.md`,
and search for prior macro models that treat AI systems as learning,
inheritable capital (§ 7, claim 2).
## Power channels as sub-stocks
```task
id: ASSEMBLY-WP-0005-T03
status: todo
priority: medium
```
Implement `GADM-0.3-Candidates.md` § 2.2: market, infrastructure, discovery,
membrane, lineage and political channels, aggregated as 1 − ∏(1 − P_k). Test
hypotheses P1 and P2.
## Separate wealth from power
```task
id: ASSEMBLY-WP-0005-T04
status: todo
priority: medium
```
Implement `GADM-0.3-Candidates.md` § 2.1: a wealth-concentration stock W_c,
with a check-dependent conversion into P. Test hypothesis P3.
## Strengthen attention dynamics and the full organism grid
```task
id: ASSEMBLY-WP-0005-T05
status: todo
priority: medium
```
Re-examine `aext` against time-use evidence, then run the full 2 × 2 × 2
organism scenario grid (lineage × membrane × attention regime).
## Life-cycle cohorts
```task
id: ASSEMBLY-WP-0005-T06
status: todo
priority: low
```
Implement `GADM-0.3-Candidates.md` § 1: four cohorts, intergenerational
transfer, and care demand on attention. Test hypotheses L1–L3.