A Bayesian Search for the Higgs Particle

Shirin Golchi; Richard Lockhart

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arXiv · 1501.02226

A Bayesian Search for the Higgs Particle

Shirin Golchi·Richard Lockhart

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Abstract

The statistical procedure used in the search for the Higgs boson is investigated in this paper. A Bayesian hierarchical model is proposed that uses the information provided by the theory in the analysis of the data generated by the particle detectors. In addition, we develop a Bayesian decision making procedure that combines the two steps of the current method (discovery and exclusion) into one and can be calibrated to satisfy frequency theory error rate requirements. .

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Shirin Golchi, Richard Lockhart. 2016-05-09. A Bayesian Search for the Higgs Particle. https://arxiv.org/abs/1501.02226

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