pynucastro: A Python']Python Library for Nuclear Astrophysics

被引：11

作者：

Smith, Alexander I. ^{[1
]}

Johnson, Eric T. ^{[1
]}

Chen, Zhi ^{[1
]}

Eiden, Kiran ^{[2
]}

Willcox, Donald E. ^{[3
]}

Boyd, Brendan ^{[1
]}

Cao, Lyra ^{[4
]}

DeGrendele, Christopher J. ^{[5
]}

Zingale, Michael ^{[1
]}

机构：

[1] SUNY Stony Brook, Dept Phys & Astron, Stony Brook, NY 11794 USA

[2] Univ Calif Berkeley, Dept Astron, Berkeley, CA 94720 USA

[3] Lawrence Berkeley Natl Lab, Ctr Computat Sci & Engn, Berkeley, CA USA

[4] Ohio State Univ, Dept Astron, Columbus, OH 43210 USA

[5] Univ Calif Santa Cruz, Dept Appl Math, Santa Cruz, CA 95064 USA

来源：

ASTROPHYSICAL JOURNAL | 2023年 / 947卷 / 02期

关键词：

WEAK INTERACTION RATES; NETWORK GENERATOR; HYDRODYNAMICS; COMPILATION; SUPERNOVAE; REDUCTION; EVOLUTION; BRUSLIB; CAPTURE; DENSITY;

D O I：

10.3847/1538-4357/acbaff

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

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.

引用

页数：24

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