A configurable calorimeter simulation for AI (COCOA) applications is presented, based on the \textsc{Geant4} toolkit and interfaced with the \textsc{Pythia} event generator. This open-source project is aimed to support the development of machine learning algorithms in high energy physics that rely on realistic particle shower descriptions, such as reconstruction, fast simulation, and low-level analysis. Specifications such as the granularity and material of its nearly hermetic geometry are user-configurable. The tool is supplemented with simple event processing including topological clustering, jet algorithms, and a nearest-neighbors graph construction. Formatting is also provided to visualise events using the Phoenix event display software.

翻译：根据\ textsc{Geant4}工具包和与\ textsc{Pythia}事件生成器接口,介绍了AI(COCOAA)应用的可配置热量模拟。这个开放源码项目旨在支持开发高能物理的机器学习算法,该算法依赖于现实的粒子阵列描述,如重建、快速模拟和低水平分析。其近乎 hermetic的几何形状的颗粒度和材料等规格是用户可配置的。该工具还得到了简单事件处理的补充,包括地形群集、喷气算法和近邻图的构造。还提供格式,用于使用凤凰事件显示软件进行可视化活动。</s>