OpTHyLiC: an Optimised Tool for Hybrid Limits Computation

Emmanuel Busato (1) , David Calvet (1) , Timothée Theveneaux-Pelzer (1, 2)

1 LPC - Laboratoire de Physique de Clermont
2 CPPM - Centre de Physique des Particules de Marseille

A software tool, computing observed and expected upper limits on Poissonian process rates using a hybrid frequentist-Bayesian CLs  method, is presented. This tool can be used for simple counting experiments where only signal, background and observed yields are provided or for multi-bin experiments where binned distributions of discriminating variables are provided. It allows the combination of several channels and takes into account statistical and systematic uncertainties, as well as correlations of systematic uncertainties between channels. It has been validated against other software tools and analytical calculations, for several realistic cases.

Mots clés: Statistical methods; Data analysis; Upper limit; CLs; model: statistical; programming; hybrid; statistical analysis: Bayesian; confidence limit; correlation; data analysis method; numerical methods; numerical calculations: interpretation of experiments

Domaines: Physique des Hautes Energies - Expérience [hep-ex]

Emmanuel Busato, David Calvet, Timothée Theveneaux-Pelzer. OpTHyLiC: an Optimised Tool for Hybrid Limits Computation. Comput.Phys.Commun., 2018, 226, pp.136-150. ⟨10.1016/j.cpc.2018.01.009⟩. ⟨hal-01730099⟩