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arXiv 2001.04016hep-ex
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TopoAna:高能物理实验中包含蒙特卡罗样本事件类型分析的通用工具

TopoAna: A generic tool for the event type analysis of inclusive Monte-Carlo samples in high energy physics experiments

Xingyu Zhou, Shuxian Du, Gang Li, Chengping Shen

摘要:

在许多高能物理实验中,包含性蒙特卡罗样本对于信号选择和背景抑制是必不可少的。清楚地了解样品中涉及的物理过程,包括过程的类型和每种类型中的过程数量,对研究信号和背景有很大帮助。为了帮助分析人员从样品的真值信息中获取物理过程信息,我们用C++、ROOT和LaTeX开发了一个物理过程分析程序TopoAna。该程序采用多种精细的、可定制的分类匹配算法,实现了成分分析和信号识别的功能。它在输出根文件中准确地标记单个事件中的物理过程,并将样本级别的物理过程信息清楚地导出到输出纯文本、tex源和pdf文件。独立于特定的软件框架,该程序适用于许多实验。目前,它已在三个$e^+e^-$碰撞实验中使用:BESIII,Belle和Belle II实验。该程序在其他类似实验中的应用也是有前景的。

英文摘要:

Inclusive Monte-Carlo samples are indispensable for signal selection and background suppression in many high energy physics experiments. A clear knowledge of the physics processes involved in the samples, including the types of processes and the number of processes in each type, is a great help to investigating signals and backgrounds. To help analysts obtain the physics process information from the truth information of the samples, we develop a physics process analysis program, TopoAna, with C++, ROOT, and LaTeX. The program implements the functionalities of component analysis and signal identification with many kinds of fine, customizable classification and matching algorithms. It tags physics processes in individual events accurately in the output root files, and exports the physics process information at the sample level clearly to the output plain text, tex source, and pdf files. 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 similar experiments is also prospective.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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