English

A Statistical Analysis of the COHERENT Data and Applications to New Physics

High Energy Physics - Phenomenology 2021-05-05 v3 High Energy Physics - Experiment

Abstract

The observation of coherent elastic neutrino nucleus scattering (CEν\nuNS) by the COHERENT collaboration in 2017 has opened a new window to both test Standard Model predictions at relatively low energies and probe new physics scenarios. Our investigations show, however, that a careful treatment of the statistical methods used to analyze the data is essential to derive correct constraints and bounds on new physics parameters. In this manuscript we perform a detailed analysis of the publicly available COHERENT CsI data making use of all available background data. We point out that Wilks' theorem is not fulfilled in general and a calculation of the confidence regions via Monte Carlo simulations following a Feldman-Cousins procedure is necessary. As an example for the necessity of this approach to test new physics scenarios we quantify the allowed ranges for several scenarios with neutrino non-standard interactions. Furthermore, we provide accompanying code to enable an easy implementation of other new physics scenarios as well as data files of our results.

Keywords

Cite

@article{arxiv.2008.06062,
  title  = {A Statistical Analysis of the COHERENT Data and Applications to New Physics},
  author = {Peter B. Denton and Julia Gehrlein},
  journal= {arXiv preprint arXiv:2008.06062},
  year   = {2021}
}

Comments

20 pages, 7 figures, matches published version in JHEP