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

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)摘要 现已开发一款Fortran 77语言程序，可采用结合系统不确定性贝叶斯处理的频率学派置信区间构建方法，计算包含与不包含系统不确定性的置信区间。该程序可处理本底预估以及信号/本底效率中的系统不确定性。上述不确定性可分别通过高斯（Gauss）、对数正态（log-normal）或均匀概率密度函数（PDF）进行参数化，不过由于采用蒙特卡洛（Monte Carlo）方法…… 程序名称：pole 1.0版 目录编号：ADTA_v1_0 问题描述 本程序需解决的问题为：针对存在实验参数（如信号效率或本底预估）系统不确定性的已知本底泊松（Poisson）过程，计算其参数的频率学派置信区间。 该程序在Mendeley数据的CPC程序库中的版本：ADTA_v1_0；pole 1.0版；DOI: 10.1016/j.cpc.2003.12.002 本程序源自贝尔法斯特女王大学托管的CPC程序库（1969-2018年）