pynucastro: A Python Library for Nuclear Astrophysics

Alexander Smith Clark; Brendan Boyd; Christopher J. DeGrendele; Donald E. Willcox; Eric T. Johnson; Kiran Eiden; Lyra Cao; Michael Zingale; Zhi Chen

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pynucastro: A Python Library for Nuclear Astrophysics

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arxiv 2210.09965 v1 pith:QOV7I6MV submitted 2022-10-18 astro-ph.IM nucl-ex

Alexander Smith Clark , Eric T. Johnson , Zhi Chen , Kiran Eiden , Donald E. Willcox , Brendan Boyd , Lyra Cao , Christopher J. DeGrendele

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Michael Zingale

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classification astro-ph.IMnucl-ex

keywords networkslibrarypynucastrodemonstratenuclearratesapplicationappropriate

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We describe pynucastro 2.0, an open source library for interactively creating and exploring astrophysical nuclear reaction networks. We demonstrate new methods for approximating rates and using detailed balance to create reverse rates, show how to build networks and determine whether they are appropriate for a particular science application, and discuss the changes made to the library over the past few years. Finally, we demonstrate the validity of the networks produced and share how we use pynucastro networks in simulation codes.

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