A program for confidence interval calculations for a Poisson process with background including systematic uncertainties: POLE 1.0

Published: 1 April 2004| Version 1 | DOI: 10.17632/crn4529fkn.1
Jan Conrad


Abstract A Fortran 77 routine has been developed to calculate confidence intervals with and without systematic uncertainties using a frequentist confidence interval construction with a Bayesian treatment of the systematic uncertainties. The routine can account for systematic uncertainties in the background prediction and signal/background efficiencies. The uncertainties may be separately parametrized by a Gauss, log-normal or flat probability density function (PDF), though since a Monte Carlo approach... Title of program: pole version 1.0 Catalogue Id: ADTA_v1_0 Nature of problem The problem is to calculate a frequentist confidence interval on the parameter of a Poisson process with known background in the presence of systematic uncertainties in experimental parameters such as signal efficiency or background prediction. Versions of this program held in the CPC repository in Mendeley Data ADTA_v1_0; pole version 1.0; 10.1016/j.cpc.2003.12.002 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)



Computational Physics, Computational Method