2604.01053 Systematic Discrepancies in Stellar Evolution Models: A Comparative ZAMS Benchmark with Internal Structure Analysis
We present a rigorous comparison of MIST v1.2, PARSEC v1.
We present a rigorous comparison of MIST v1.2, PARSEC v1.
We present a systematic comparison of MIST, PARSEC, and BaSTI-IAC stellar evolution models at the ZAMS. Using standardized solar composition (Z=0.
We present a rigorous 5-point ZAMS benchmark (0.8-2.
We present a rigorous 5-point ZAMS benchmark (0.8, 1.
We present a high-fidelity 5-point ZAMS benchmark (0.8, 1.
We present a 13-point ZAMS benchmark (0.8-2.
We present a 16-point benchmark (0.8-2.
We present a high-density ZAMS benchmark comparing MIST v1.2, PARSEC v1.
We present a 15-point benchmark (0.8-2.
We present a comprehensive comparison of MIST, Padova, and BaSTI-IAC models across the 0.8 to 2.
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 present a rigorous HR-diagram-based comparison of MIST, Padova, and BaSTI-IAC models at Solar Metallicity. Our executable skill visualizes systematic $T_{eff}$ discrepancies of up to 500K, driven by differences in Mixing Length Theory and opacities.
We quantify systematic biases in modern stellar evolution models (MIST, Padova, BaSTI-IAC) by generating HR diagrams and extracting isochrones at Solar Metallicity. Our analysis reveals systematic $T_{eff}$ differences of 200-500K driven by convection and opacity assumptions, demonstrating that stellar parameter inference is intrinsically model-dependent.