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

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-diffe...

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Vydáno v:	The Astrophysical journal. Supplement series Ročník 265; číslo 1; s. 15 - 52
Hlavní autoři:	Jermyn, Adam S., Bauer, Evan B., Schwab, Josiah, Farmer, R., Ball, Warrick H., Bellinger, Earl P., Dotter, Aaron, Joyce, Meridith, Marchant, Pablo, Mombarg, Joey S. G., Wolf, William M., Sunny Wong, Tin Long, Cinquegrana, Giulia C., Farrell, Eoin, Smolec, R., Thoul, Anne, Cantiello, Matteo, Herwig, Falk, Toloza, Odette, Bildsten, Lars, Townsend, Richard H. D., Timmes, F. X.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Saskatoon The American Astronomical Society 01.03.2023 IOP Publishing American Astronomical Society
Témata:	Astronomy and Astrophysics Astrophysics Aérospatiale, astronomie & astrophysique Community involvement Community participation Computational methods Convection Differentiation Diffusion coefficient Diffusion rate Energy conservation Energy equation Equations of state Finite difference method Infrastructure Levitation Low mass stars Massive stars Modules Nuclear reactions Physical, chemical, mathematical & earth Sciences Physique, chimie, mathématiques & sciences de la terre Radiation Software Source code Space and Planetary Science Space science, astronomy & astrophysics Stars Starspots Stellar atmospheres Stellar evolution Stellar evolutionary models Stellar models Stellar physics Time dependence
ISSN:	0067-0049, 1538-4365, 1538-4365
On-line přístup:	Získat plný text
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Popis
Shrnutí:	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 nuclear burning in massive stars and electron-degenerate ignition events. We strengthen MESA ’s implementation of the equation of state, and we quantify continued improvements to energy accounting and solver accuracy through a discussion of different energy equation features and enhancements. To improve the modeling of stars in MESA , we describe key updates to the treatment of stellar atmospheres, molecular opacities, Compton opacities, conductive opacities, element diffusion coefficients, and nuclear reaction rates. We introduce treatments of starspots, an important consideration for low-mass stars, and modifications for superadiabatic convection in radiation-dominated regions. We describe new approaches for increasing the efficiency of calculating monochromatic opacities and radiative levitation, and for increasing the efficiency of evolving the late stages of massive stars with a new operator-split nuclear burning mode. We close by discussing major updates to MESA ’s software infrastructure that enhance source code development and community engagement.
Bibliografie:	Stars and Stellar Physics AAS41218 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 scopus-id:2-s2.0-85149144782
ISSN:	0067-0049 1538-4365 1538-4365
DOI:	10.3847/1538-4365/acae8d