Mixing MC events in a reactor neutrino experiment  

作　　者：张一纯 陈晓苏 何苗 黄性涛 王萌 李卫东 张子平 

机构地区：[1]University of Science and Technology of China [2]Institute of High Energy Physics, Chinese Academy of Sciences [3]Shandong University

出　　处：《Chinese Physics C》2013年第1期86-90,共5页中国物理C（英文版）

基　　金：Supported by Chinese Academy of Sciences;National Natural Science Foundation of China(10225524, 10475086, 10535050, 10575056 and Y2118M005C);Ministry of Science and Technology of China

摘　　要：In reactor neutrino experiments, the analysis of time correlations between different physical events is an important task. Such analysis can help to understand the physical mechanisms of the signal and background events as well as the details of event selection and background estimation. This study investigates a ＂sampling and mixing＂ method used for producing large MC data samples for the Daya Bay reactor neutrino experiment. We designed a simple, generic mixing algorithm and generated large MC data samples for physics analysis from several samples according to their respective event rates. Basic plots based on the mixed data are shown.In reactor neutrino experiments, the analysis of time correlations between different physical events is an important task. Such analysis can help to understand the physical mechanisms of the signal and background events as well as the details of event selection and background estimation. This study investigates a ＂sampling and mixing＂ method used for producing large MC data samples for the Daya Bay reactor neutrino experiment. We designed a simple, generic mixing algorithm and generated large MC data samples for physics analysis from several samples according to their respective event rates. Basic plots based on the mixed data are shown.

关 键 词：reactor physics experiments time correlation sampling and mixing event rates 

分 类 号：O572.321[理学—粒子物理与原子核物理]