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arXiv 0904.0128hep-ph
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LHC反问题的随机解

Stochastic resolution of the LHC inverse problem

Csaba Balázs, Dilani Kahawala

摘要:

在这项工作中,LHC逆问题是量化的贝叶斯上下文中,通过澄清从理论参数空间到实验签名空间的映射和逆映射之间的关系。我们证明,补充现有的天体物理,对撞机和低能量测量的LHC数据后,一个简单的可能性分析是能够显着减少逆问题。所提出的方法提供了一个强大的,经济的,和可扩展的方式来提取理论参数从大型强子对撞机,和其他实验,数据。

英文摘要:

In this work the LHC inverse problem is quantified in the Bayesian context by clarifying the relation between the mapping from the theory parameter space to experimental signature space and the inverse map. We demonstrate that, after complementing the LHC data by existing astrophysical, collider, and low energy measurements, a simple likelihood analysis is able to significantly reduce the inverse problem. The presented approach offers a robust, economic, and extendable way to extract theoretical parameters from the LHC, and other experimental, 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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