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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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摘要

摘要

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.
Keyword:
WEAK INTERACTION RATES
NETWORK GENERATOR
HYDRODYNAMICS
COMPILATION
SUPERNOVAE
REDUCTION
EVOLUTION
BRUSLIB
CAPTURE
DENSITY

期刊

Astrophysical Journal 封面图
Astrophysical Journal
IF:
5.4
论文数:
8.3W
被引数:
32.0W

机构

S
stony brook university
学者数:
1.4W
论文数: 1.0W
被引数: 20
U
University of California Berkeley
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3.5W
论文数: 2.8W
被引数: 11.3W
S
state university of new york (suny) system
学者数:
6.5W
论文数: 5.8W
被引数: 65
U
united states department of energy (doe)
学者数:
11.3W
论文数: 9.6W
被引数: 246
University of California System 封面图
University of California System
学者数:
37.7W
论文数: 33.8W
被引数: 6.6K
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