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arXiv 1409.5541nucl-exastro-ph.SR
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热核反应速率和核合成模拟的统计方法

Statistical Methods for Thermonuclear Reaction Rates and Nucleosynthesis Simulations

Christian Iliadis, Richard Longland, Alain Coc, F. X. Timmes, Art E. Champagne

摘要:

估算热核反应速率和核合成的严格统计方法在核天体物理学中正日益得到确立。面临的主要挑战是实验反应速率是从大量不同的测量核参数(例如,天体物理S因子、共振能量和强度、粒子和伽马射线部分宽度)。我们讨论的应用程序的Monte Carlo方法两个不同的,但相关的问题。首先,给定一组测量的核参数,如何才能最好地估计由此产生的热核反应速率和相关的不确定性?第二,给定一组适当的反应速率,如何才能最好地估计来自核合成的丰度(即,反应网络)计算?这里描述的技术提供了概率密度函数,其可用于导出任何期望覆盖概率的统计上有意义的反应速率和最终丰度。例子给出了应用程序的s-过程中子源,核心坍缩超新星,经典新星,大爆炸核合成。

英文摘要:

Rigorous statistical methods for estimating thermonuclear reaction rates and nucleosynthesis are becoming increasingly established in nuclear astrophysics. The main challenge being faced is that experimental reaction rates are highly complex quantities derived from a multitude of different measured nuclear parameters (e.g., astrophysical S-factors, resonance energies and strengths, particle and gamma-ray partial widths). We discuss the application of the Monte Carlo method to two distinct, but related, questions. First, given a set of measured nuclear parameters, how can one best estimate the resulting thermonuclear reaction rates and associated uncertainties? Second, given a set of appropriate reaction rates, how can one best estimate the abundances from nucleosynthesis (i.e., reaction network) calculations? The techniques described here provide probability density functions that can be used to derive statistically meaningful reaction rates and final abundances for any desired coverage probability. Examples are given for applications to s-process neutron sources, core-collapse supernovae, classical novae, and big bang nucleosynthesis.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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