4.6 Article

Method for detector description transformation to Unity and application in BESIII

Journal

NUCLEAR SCIENCE AND TECHNIQUES
Volume 33, Issue 11, Pages -

Publisher

SPRINGER SINGAPORE PTE LTD
DOI: 10.1007/s41365-022-01133-8

Keywords

Detector description; Visualization; Unity; GDML; BESIII

Funding

  1. National Natural Science Foundation of China [11975021, 12175321, 11675275, U1832204, U1932101]
  2. National Key Research and Development Program of China [2020YFA0406300, 2020YFA0406400]
  3. Guangdong Basic and Applied Basic Research Foundation [2021A1515012039]
  4. State Key Laboratory of Nuclear Physics and Technology, Peking University [NPT2020KFY04, NPT2020KFY05]
  5. Strategic Priority Research Program of the Chinese Academy of Sciences [XDA10010900]
  6. Chinese Academy of Sciences (CAS) Large-Scale Scientific Facility Program
  7. Fundamental Research Funds for the Central Universities, Sun Yatsen University
  8. National College Students Science and Technology Innovation Project
  9. Undergraduate Base Scientific Research Project of Sun Yat-sen University

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This study presents a method for automatically transforming detector descriptions from GDML to 3D modeling in Unity. The method has been successfully applied in the BESIII experiment and has potential applications in event displays, data monitoring, and virtual reality.
Detector and event visualization are essential parts of the software used in high-energy physics (HEP) experiments. Modern visualization techniques and multimedia production platforms such as Unity provide impressive display effects and professional extensions for visualization in HEP experiments. In this study, a method for automatic detector description transformation is presented, which can convert the complicated HEP detector geometry from GDML in offline software to 3D modeling in Unity. The method was successfully applied in the BESIII experiment and can be further developed into applications such as event displays, data monitoring, or virtual reality. It has great potential in detector design, offline software development, physics analysis, and outreach for next-generation HEP experiments as well as applications in nuclear techniques for the industry.

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