OpTHyLiC: An Optimised Tool for Hybrid Limits Computation

Published: 28 February 2018| Version 1 | DOI: 10.17632/2jv8ytrhcg.1
Contributors:
Emmanuel Busato,
David Calvet,
Timothée Theveneaux-Pelzer

Description

A software tool, computing observed and expected upper limits on Poissonian process rates using a hybrid frequentist-Bayesian CL_s 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.

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Categories

Computational Physics, Data Analysis, Statistical Method

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