论文标题

Pynucastro:核天体物理学的Python图书馆

pynucastro: A Python Library for Nuclear Astrophysics

论文作者

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

论文摘要

我们描述了Pynucastro 2.0,这是一个开源库,用于交互创建和探索天体物理核反应网络。我们展示了用于近似速率并使用详细平衡来创建反向利率的新方法,展示如何构建网络并确定它们是否适合特定的科学应用程序,并讨论过去几年中对图书馆所做的更改。最后,我们演示了产生的网络的有效性,并分享了如何在模拟代码中使用pynucastro网络。

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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