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arXiv 0909.3865nucl-th
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手性外推的贝叶斯方法

A Bayesian approach to chiral extrapolations

Matthias R. Schindler, Daniel R. Phillips

摘要:

从数据中确定低能常数是大多数有效场论程序的重要组成部分,包括手征微扰理论。我们提出了一种基于贝叶斯概率理论的新方法,它使我们能够解决参数提取的标准方法的几个缺点。使用一个玩具模型,我们认为贝叶斯方法是非常适合的应用在有效场论。我们还讨论了它在格点量子色动力学数据中的应用。

英文摘要:

The determination of low-energy constants from data is an important component of most effective field theory programs, including that of chiral perturbation theory. We propose a novel method based on Bayesian probability theory which allows us to address several shortcomings of the standard approach to parameter extraction. Using a toy-model we argue that the Bayesian approach is ideally suited for the application in effective field theories. We also discuss the application to lattice QCD data.

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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