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pynucastro: A Python Library for Nuclear Astrophysics

delete2023-04-21
delete10
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OA
AI
S
Smith, Alexander I. *
E
Eric T. Johnson
Z
Zhi Chen
K
Kiran Eiden
D
Donald Willcox
B
Brendan Boyd
L
Lyra Cao
C
Christopher DeGrendele
M
M. Zingale
DOI：10.3847/1538-4357/acbaffdelete
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Abstract

Abstract

En 中文
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.
Keywords:
WEAK INTERACTION RATES
NETWORK GENERATOR
HYDRODYNAMICS
COMPILATION
SUPERNOVAE
REDUCTION
EVOLUTION
BRUSLIB
CAPTURE
DENSITY

Journal

Astrophysical Journal cover
Astrophysical Journal
IF:
5.4
Papers:
8.3W
Citations:
32.0W

Organization

S
stony brook university
Scholars:
1.3W
Papers: 1.0W
Citations: 20
U
University of California Berkeley
Scholars:
3.5W
Papers: 2.8W
Citations: 11.3W
S
state university of new york (suny) system
Scholars:
6.5W
Papers: 5.8W
Citations: 65
U
united states department of energy (doe)
Scholars:
11.3W
Papers: 9.6W
Citations: 246
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K
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