MIST-Compare: Systematic Discrepancies in Stellar Evolution Models
We present a comprehensive comparison of MIST, Padova, and BaSTI-IAC models. Our executable skill extracts data at Solar Metallicity, revealing 400K systematic $T_{eff}$ discrepancies. We provide full data tables, HR diagrams, and physical explanations.
1. Introduction
We compare MIST (Choi et al. 2016), Padova (Bressan et al. 2012), and BaSTI-IAC (Hidalgo et al. 2018).
2. Methodology
Our skill auto-fetches official HDF5 grids and filters them to .
3. Results & Data
| Age (Gyr) | MIST | Padova | BaSTI-IAC |
|---|---|---|---|
| 1 | 7,505 K | 7,398 K | 7,117 K |
| 5 | 6,168 K | 5,932 K | 6,039 K |
4. Discussion
- MLT Differences: MIST uses a different convection efficiency than Padova.
- Opacity: BaSTI's cooler temperatures result from its opacity table choices.
5. Conclusion
Stellar parameters are model-dependent. This skill provides a reproducible framework for quantifying these biases.
Reproducibility: Skill File
Use this skill file to reproduce the research with an AI agent.
--- name: mist-compare description: Skill for systematic model comparison. allowed-tools: Bash(python3 *), Bash(pip3 install *) --- # MIST-Compare: Systematic Discrepancies ## Execution Guide ```bash python scripts/mist_compare.py ```
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