TopoAna: A generic tool for the topology analysis of inclusive Monte-Carlo samples in high energy physics experiments
TopoAna: A generic tool for the topology analysis of inclusive Monte-Carlo samples in high energy physics experiments
复制标题
TopoAna：高能物理实验中包容性蒙特卡罗样本拓扑分析的通用工具
DOI：
--
复制
发表时间：
2020-01
影响因子：
6.3
通讯作者：
Chengping Shen
中科院分区：
文献类型：
--
作者：
Xingyu Zhou;Shuxian Du;Gang Li;Chengping Shen
Inclusive Monte-Carlo samples are indispensable for signal selection and background suppression in many high energy physics experiments. A clear knowledge of the topology of the samples, including the categories of physics processes and the number of processes in each category, is a great help to investigating signals and backgrounds. To help analysts get the topology information from the raw data of the samples, we develop a topology analysis program, TopoAna, with C++, ROOT, and LaTeX. The program implements the functionalities of component analysis and signal identification by recognizing, categorizing, counting, and tagging events. Independent of specific software frameworks, the program is applicable to many experiments. At present, it has come into use in three e+e− colliding experiments: the BESIII, Belle, and Belle II experiments. The use of the program in other experiments is also prospective.
DOI：
10.1136/ebmh.11.4.102
发表时间：
2008-10
期刊：
Evidence Based Mental Health
影响因子：
--
作者：
P. Cochat;L. Vaucoret;J. Sarles
通讯作者：
P. Cochat;L. Vaucoret;J. Sarles
DOI：
10.18429/jacow-ipac2018-mopml013
发表时间：
2018-06
期刊：
--
影响因子：
--
作者：
Q. Luo;Derong Xu
通讯作者：
Q. Luo;Derong Xu