论文标题
Topoana：用于高能量物理实验中包容性蒙特卡洛样品的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
论文作者
论文摘要
在许多高能量物理实验中，包容性的蒙特卡洛样品对于信号选择和背景抑制是必不可少的。对样品中涉及的物理过程的清晰了解，包括各种过程的类型和过程数量，是研究信号和背景的极大帮助。为了帮助分析师从样本的真实信息中获取物理过程信息，我们开发了具有C ++，根和乳胶的物理过程分析程序，Topoana。该程序通过多种可定制的分类和匹配算法实现组件分析和信号识别的功能。它可以准确地在输出根文件中精确地将物理过程标记，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。该程序独立于特定的软件框架，适用于许多实验。目前，它已经在三个$ 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使用也是预期的。
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.
