Modules for Experiments in Stellar Astrophysics (MESA): Time-dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure

@article{Jermyn2022ModulesFE,
  title={Modules for Experiments in Stellar Astrophysics (MESA): Time-dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure},
  author={Adam S. Jermyn and Evan B. Bauer and Josiah Schwab and Robert J. Farmer and Warrick H. Ball and Earl Patrick Bellinger and Aaron Dotter and Meridith Joyce and Pablo Marchant and Joey S. G. Mombarg and William M. Wolf and Tin Long Sunny Wong and Giulia C. Cinquegrana and Eoin J Farrell and Radosław Smolec and Anne Thoul and Matteo Cantiello and Falk Herwig and Odette Toloza and Lars Bildsten and Richard H. D. Townsend and Francis X. Timmes},
  journal={The Astrophysical Journal Supplement Series},
  year={2022},
  volume={265}
}
We update the capabilities of the open-knowledge software instrument Modules for Experiments in Stellar Astrophysics (MESA). The new auto_diff module implements automatic differentiation in MESA, an enabling capability that alleviates the need for hard-coded analytic expressions or finite-difference approximations. We significantly enhance the treatment of the growth and decay of convection in MESA with a new model for time-dependent convection, which is particularly important during late-stage… 

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