STARLIB：下一代核天体物理反应速率库
STARLIB: A Next-Generation Reaction-Rate Library for Nuclear Astrophysics
摘要：
STARLIB是下一代通用核反应速率库。该库首次提供了所有温度网格点的速率概率密度，便于在恒星现象模型中实现。建议的费率及其相关的不确定性也包括在内。目前，所有其他费率图书馆都没有不确定性，而且，虽然在以前的评价和汇编中曾试图作出估计，但这些估计一般都没有严格的统计定义为基础。显然有必要为得出不确定性制定一个共同标准。STARLIB是解决这一缺陷的第一步，它提供了一个表格式的最新数据库，不仅提供了比率及其不确定性，而且还提供了其分布。由于大多数速率是对数正态分布的，因此可以从STARLIB的列中构造速率概率密度。这种结构是基于最近提出的蒙特卡罗方法来计算反应速率，其中严格定义的不确定性。在STARLIB中，实验速率补充有：（i）对于没有实验输入的反应，理论的TTRIS速率，以及（ii）实验室和理论的弱速率。STARLIB包括了所有类型的对Z = 83的天体物理学感兴趣的反应，例如（p，g）、（p，a）、（a，n）和相应的反向速率。强速率占热目标激发。在这里，我们总结了我们的Monte Carlo形式主义，介绍了图书馆，比较恒星环境的校正率的方法，并讨论如何实现我们的图书馆在Monte Carlo核合成研究。我们还提出了一种方法，用于访问STARLIB在互联网上，并概述了更新的蒙特卡洛为基础的利率。
英文摘要：
STARLIB is a next-generation, all-purpose nuclear reaction-rate library. For the first time, this library provides the rate probability density at all temperature grid points for convenient implementation in models of stellar phenomena. The recommended rate and its associated uncertainties are also included. Currently, uncertainties are absent from all other rate libraries, and, although estimates have been attempted in previous evaluations and compilations, these are generally not based on rigorous statistical definitions. A common standard for deriving uncertainties is clearly warranted. STARLIB represents a first step in addressing this deficiency by providing a tabular, up-to-date database that supplies not only the rate and its uncertainty but also its distribution. Because a majority of rates are lognormally distributed, this allows the construction of rate probability densities from the columns of STARLIB. This structure is based on a recently suggested Monte Carlo method to calculate reaction rates, where uncertainties are rigorously defined. In STARLIB, experimental rates are supplemented with: (i) theoretical TALYS rates for reactions for which no experimental input is available, and (ii) laboratory and theoretical weak rates. STARLIB includes all types of reactions of astrophysical interest to Z = 83, such as (p,g), (p,a), (a,n), and corresponding reverse rates. Strong rates account for thermal target excitations. Here, we summarize our Monte Carlo formalism, introduce the library, compare methods of correcting rates for stellar environments, and discuss how to implement our library in Monte Carlo nucleosynthesis studies. We also present a method for accessing STARLIB on the Internet and outline updated Monte Carlo-based rates.
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