Statistical Analyses of Higgs- and Z-Portal Dark Matter Models

Abstract

I present results from 1711.09912 of frequentist and Bayesian statistical analyses of Higgs- and Z-portal models of dark matter particles with spin 0, 12 and 1. Our analyses incorporate data from direct detection and indirect detection experiments, as well as LHC searches for monojet and monophoton events. We find acceptable regions of the parameter spaces for Higgs-portal models with real scalar, neutral vector, Majorana or Dirac fermion dark matter particles, and Z-portal models with Majorana or Dirac fermion dark matter particles.

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Seoul
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Andrew Fowlie
Junior Faculty

My research interests include particle physics and statistics.