arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1210.4495astro-ph.IM
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蒙特卡罗核合成取样的建议(研究报告)

Recommendations for Monte Carlo nucleosynthesis sampling (Research Note)

Richard Longland

摘要:

背景:最近的反应速率评价包括以统计学上有意义的方式确定的反应速率不确定性。此外,反应速率概率密度分布已被确定和公布的对数正态参数的形式,追求蒙特卡罗核合成研究的具体目标。目的:测试和评估在反应速率概率密度范围内随机取样的不同方法,并确定估算元素丰度不确定性的最准确方法。研究方法:首先计算了22 Ne +alpha、20 Ne(p,g)21 Na、25 Mg(p,g)26 Al和18 F(p,alpha)15 O反应的实验MonteCarlo反应速率,并将其用于计算大质量恒星和经典新星中受核合成影响的16个核的参考核合成产额。五种不同的方法随机抽样这些反应速率概率分布,然后开发,测试,并与参考核合成产率进行比较。结果如下:考虑到反应速率概率密度分布可以用对数正态分布精确描述,由反应速率变化的参数化估计产生的Monte Carlo核合成变化与从真实速率样本获得的变化非常一致。最重要的是,最简单的参数化同意在几个百分点,这意味着蒙特卡罗核合成研究可以可靠地进行使用对数正态参数化的反应速率概率密度函数。

英文摘要:

Context: Recent reaction rate evaluations include reaction rate uncertainties that have been determined in a statistically meaningful manner. Furthermore, reaction rate probability density distributions have been determined and published in the form of lognormal parameters with the specific goal of pursuing Monte Carlo nucleosynthesis studies. Aims: To test and assess different methods of randomly sampling over reaction rate probability densities and to determine the most accurate method for estimating elemental abundance uncertainties. Methods: Experimental Monte Carlo reaction rates are first computed for the 22Ne+alpha, 20Ne(p,g)21Na, 25Mg(p,g)26Al, and 18F(p,alpha)15O reactions, which are used to calculate reference nucleosynthesis yields for 16 nuclei affected by nucleosynthesis in massive stars and classical novae. Five different methods of randomly sampling over these reaction rate probability distributions are then developed, tested, and compared with the reference nucleosynthesis yields. Results: Given that the reaction rate probability density distributions can be described accurately with a lognormal distribution, Monte Carlo nucleosynthesis variations arising from the parametrised estimates for the reaction rate variations agree remarkably well with those obtained from the true rate samples. Most significantly, the most simple parametrisation agrees within just a few percent, meaning that Monte Carlo nucleosynthesis studies can be performed reliably using lognormal parametrisations of reaction rate probability density functions.

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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