FITTING USING FINITE MONTE-CARLO SAMPLES

被引：355

作者：

BARLOW, R

BEESTON, C

机构：

[1] Department of Physics, Manchester University, Manchester

来源：

COMPUTER PHYSICS COMMUNICATIONS | 1993年 / 77卷 / 02期

关键词：

D O I：

10.1016/0010-4655(93)90005-W

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Analysis of results from HEP experiments often involves estimation of the composition of a sample of data, based on Monte Carlo simulations of the various sources. Data values (generally of more than one dimension) are binned, and because the numbers of data points in many bins are small, a chi2 minimisation is inappropriate, so a maximum likelihood technique using Poisson statistics is often used, This note shows how to incorporate the fact that the Monte Carlo statistics used are finite and thus subject to statistical fluctuations.

引用

页码：219 / 228

页数：10