Computation of confidence intervals for Poisson processes

Published: 1 January 2000| Version 1 | DOI: 10.17632/6m67x8sm6x.1
J.A. Aguilar-Saavedra


Abstract We present an algorithm which allows a fast numerical computation of Feldman–Cousins confidence intervals for Poisson processes, even when the number of background events is relatively large. This algorithm incorporates an appropriate treatment of the singularities that arise as a consequence of the discreteness of the variable. Title of program: PCI Catalogue Id: ADMA_v1_0 Nature of problem Determination of confidence intervals for Poisson processes with background. Versions of this program held in the CPC repository in Mendeley Data ADMA_v1_0; PCI; 10.1016/S0010-4655(00)00035-7 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)



Computational Physics, Computational Method