Explaining the differences in massive star models from various simulations
Poojan Agrawal, Dorottya Sz\'ecsi, Simon Stevenson, Jan J. Eldridge,, Jarrod Hurley

TL;DR
This paper compares five different massive star evolution models to understand how variations in physical assumptions affect key stellar properties and their implications for astrophysical observations.
Contribution
It provides a detailed comparison of five stellar model sets, highlighting differences in physical inputs and their impact on stellar evolution predictions.
Findings
Ionizing radiation can vary by up to 18% between models.
Maximum stellar radius can differ by 100-1600 R$_\odot$.
Remnant mass predictions can differ by up to 20 M$_\odot$.
Abstract
The evolution of massive stars is the basis of several astrophysical investigations, from predicting gravitational-wave event rates to studying star-formation and stellar populations in clusters. However, uncertainties in massive star evolution present a significant challenge when accounting for these models' behaviour in stellar population studies. In this work, we present a comparison between five published sets of stellar models from the BPASS, BoOST, Geneva, MIST, and PARSEC simulations at near-solar metallicity. The different sets of stellar models have been computed using slightly different physical inputs in terms of mass-loss rates and internal mixing properties. Moreover, these models also employ various pragmatic methods to overcome the numerical difficulties that arise due to the presence of density inversions in the outer layers of stars more massive than 40 M. These…
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