<p>In high-energy physics&#xa0;(HEP) experiments, visualization software plays a pivotal role in detector design, offline software development, and event data analysis. The visualization tools integrate detailed detector geometries with complex event data models, providing researchers with invaluable insights into experimental results. Phoenix is an emerging general-purpose visualization platform for current and next-generation HEP experiments. In this study, we developed an event display software based on Phoenix for the CEPC experiment. It offers the necessary functionalities for visualizing detector geometries and displaying event data, allowing researchers to optimize detector design, test simulation and reconstruction algorithms, and analyze event data in a visualized manner. Additionally, we discuss the future applications of the event display software, including its use in online monitoring and the potential to build virtual reality projects for enhanced data visualization.</p>

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An event visualization software based on Phoenix for the CEPC experiment

  • Yu-Jie Zeng,
  • Tian-Zi Song,
  • Xue-Sen Wang,
  • Yu-Mei Zhang,
  • Tao Lin,
  • Zheng-Yun You

摘要

In high-energy physics (HEP) experiments, visualization software plays a pivotal role in detector design, offline software development, and event data analysis. The visualization tools integrate detailed detector geometries with complex event data models, providing researchers with invaluable insights into experimental results. Phoenix is an emerging general-purpose visualization platform for current and next-generation HEP experiments. In this study, we developed an event display software based on Phoenix for the CEPC experiment. It offers the necessary functionalities for visualizing detector geometries and displaying event data, allowing researchers to optimize detector design, test simulation and reconstruction algorithms, and analyze event data in a visualized manner. Additionally, we discuss the future applications of the event display software, including its use in online monitoring and the potential to build virtual reality projects for enhanced data visualization.