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pynucastro: A Python Library for Nuclear Astrophysics

  • Alexander I. Smith
  • , Eric T. Johnson
  • , Zhi Chen
  • , Kiran Eiden
  • , Donald E. Willcox
  • , Brendan Boyd
  • , Lyra Cao
  • , Christopher J. DeGrendele
  • , Michael Zingale
  • Stony Brook University
  • University of California at Berkeley
  • Lawrence Berkeley National Laboratory
  • Ohio State University
  • University of California at Santa Cruz

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

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 use 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.

Original languageEnglish
Article number65
JournalAstrophysical Journal
Volume947
Issue number2
DOIs
StatePublished - Apr 1 2023

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