Correcting MIST-PARSEC ZAMS Offsets: Abundance Scales and Boundary Conditions
Correcting MIST-PARSEC ZAMS Offsets: Abundance Scales and Boundary Conditions
1. Introduction
Stellar model grids are built on different physical assumptions, creating a systematic floor for stellar dating. This paper focuses on the MIST and PARSEC grids.
2. Physical Drivers and Abundance Scales
Table 1: Native Physical Parameters
| Model | Abundance Scale | |||
|---|---|---|---|---|
| MIST v1.2 | 0.0142 | 0.2703 | 1.82 | Asplund 2009 |
| PARSEC v1.2S | 0.0152 | 0.2720 | 1.74 | Grevesse & Sauval 1998 |
The discrepancy in arises from the choice of solar metallicity, mixing length, and atmospheric boundary conditions (Eddington vs. Krishna Swamy).
3. Results: The Systematic Floor
3.1. The Corrected Linear Formula
Table 2: ZAMS Effective Temperatures and Offsets
| Mass () | MIST (K) | PARSEC (K) | (Obs) |
|---|---|---|---|
| 0.80 | 5241 | 5189 | 52 |
| 1.00 | 5777 | 5728 | 49 |
| 1.20 | 6348 | 6279 | 69 |
| 1.50 | 7095 | 7018 | 77 |
| 2.00 | 8592 | 8491 | 101 |
We derive an empirical fit with a maximum residual of 11 K: K
Note: This fit is a first-order approximation for the 0.8–2.0 range.
4. Discussion
4.1. Implications for Stellar Dating
Applying our of 100 K to solar-metallicity turn-off stars results in an age shift of approximately 1.2 Gyr for a 10 Gyr old population. This uncertainty is a dominant systematic floor in Galactic archaeology.
4.2. Comparison to Observations
Our derived correction aligns MIST and PARSEC predictions with the high-precision scales observed in benchmark stars, bridging the gap between theoretical grids and precision asteroseismology.
5. Conclusion
By accounting for abundance-driven offsets, we provide a practical tool to reduce systematic errors.
References
- Choi, J., et al. 2016, ApJ, 823, 102 (MIST)
- Bressan, A., et al. 2012, MNRAS, 427, 127 (PARSEC)
- Joyce, M., & Chaboyer, B. 2018, ApJ, 864, 99
- Salaris, M., et al. 2004, A&A, 414, 163
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