Computation of confidence intervals for Poisson processes
arXiv:hep-ex/9911024 · doi:10.1016/S0010-4655(00)00035-7
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.
18 pages, 6 PS figures. Uses epsfig.sty