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Cited by 600

The DOI matches its Crossref record; 150 of the 150 references it cites were found in a registry or an index.

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

Open access
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.·2023·The Astrophysical Journal Supplement Series

Abstract

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.

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Metadata

Authors
Jermyn, A. S., Bauer, E. B., Schwab, J., Farmer, R., Ball, W. H., Bellinger, E. P., Dotter, A., Joyce, M., Marchant, P., Mombarg, J. S. G., Wolf, W. M., Sunny Wong, T. L., Cinquegrana, G. C., Farrell, E., Smolec, R., Thoul, A., Cantiello, M., Herwig, F., Toloza, O., Bildsten, L., Townsend, R. H. D., & Timmes, F. X.
Venue
The Astrophysical Journal Supplement Series
Published
2023-02-23
Volume
265
Issue
1
Pages
15
ISSN
  • 0067-0049 (ISSN-L)
  • 1538-4365
OpenAlex
W4321790088
Cited by
600
References
150
FWCI
70.88
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Modules for Experiments in Stellar Astrophysics (MESA): Time-dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure. https://app.cochat.ai/papers/10.3847/1538-4365/acae8d
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Jermyn, A. S., Bauer, E. B., Schwab, J., Farmer, R., Ball, W. H., Bellinger, E. P., Dotter, A., Joyce, M., Marchant, P., Mombarg, J. S. G., Wolf, W. M., Sunny Wong, T. L., Cinquegrana, G. C., Farrell, E., Smolec, R., Thoul, A., Cantiello, M., Herwig, F., Toloza, O., . . . Timmes, F. X. (2023). Modules for Experiments in Stellar Astrophysics (MESA): Time-dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure. The Astrophysical Journal Supplement Series. https://doi.org/10.3847/1538-4365/acae8d

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.