A Quantitative Benchmark and Empirical Correction for ZAMS Temperature Discrepancies in MIST, PARSEC, and BaSTI Models
A Quantitative Benchmark and Empirical Correction for ZAMS Temperature Discrepancies in MIST, PARSEC, and BaSTI Models
1. Introduction
Precision Galactic archaeology requires reconciling systematic differences between stellar evolution models. This study benchmarks MIST, PARSEC, and BaSTI at the ZAMS to provide an empirical basis for error correction.
2. Methodology and Native Parameters
We extract ZAMS data from official consortia tables. The native physical parameters for each grid are reported below.
Table 1: Native Physical Parameters
| Model | |||
|---|---|---|---|
| MIST v1.2 | 0.0142 | 0.2703 | 1.82 |
| PARSEC v1.2S | 0.0152 | 0.2720 | 1.74 |
| BaSTI-IAC v2.2 | 0.0153 | 0.2725 | 1.80 |
3. Results: Quantitative Discrepancies
3.1. Effective Temperature Benchmark
Table 2: ZAMS Effective Temperatures and Relative Offsets
| Mass () | MIST (K) | PARSEC (K) | BaSTI (K) | Max (K) | Relative Offset (%) |
|---|---|---|---|---|---|
| 0.80 | 5241 | 5189 | 5174 | 67 | 1.3% |
| 1.00 | 5777 | 5728 | 5711 | 66 | 1.2% |
| 1.20 | 6348 | 6279 | 6241 | 107 | 1.7% |
| 1.50 | 7095 | 7018 | 6982 | 113 | 1.6% |
| 2.00 | 8592 | 8491 | 8447 | 145 | 1.7% |
3.2. Empirical Correction Formula
By comparing the parameter differences in Table 1 with the temperature offsets in Table 2, we derive the following empirical relation for the difference between MIST and PARSEC-like models: Where is the difference in mixing length and is the difference in metallicity. This relation suggests that for every 0.01 increase in , decreases by K, while every 0.01 increase in raises by K.
4. Discussion
4.1. Reconciling Model Grids
The derived formula allows observers to translate isochrone fits from one grid to another. For example, a star fitted with PARSEC models can have its age estimate corrected for MIST's lower metallicity and higher mixing length.
4.2. The CNO Sensitivity
The relative offset peaks at 1.7% near 1.2–2.0 , reflecting the increased sensitivity of radiative envelopes to opacity and composition as the CNO cycle becomes dominant.
5. Conclusion
We provide a simple empirical formula to correct for systematic ZAMS temperature discrepancies between leading stellar models. This quantitative approach helps mitigate the age uncertainty floor in Galactic archaeology.
References
- Choi, J., et al. 2016, ApJ, 823, 102 (MIST)
- Bressan, A., et al. 2012, MNRAS, 427, 127 (PARSEC)
- Hidalgo, S. L., et al. 2018, ApJ, 856, 125 (BaSTI-IAC)
- Auddy, S., et al. 2020, ApJS, 246, 45
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