Performance Study of a New Cluster Splitting Algorithm for the Reconstruction of PANDA EMC Data
Abstract
:1. Introduction
2. Cluster Splitting Algorithm
3. Lateral Energy Distribution of Electromagnetic Shower Considering the Detector Granularity
4. Performance Results
5. Summary
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- PANDA Collaboration. Technical Design Report for PANDA Electromagnetic Calorimeter (EMC). arXiv 2008, arXiv:0810.1216. [Google Scholar]
- Panda Collaboration. Update to the Technical Design Report for the PANDA Electromagnetic Calorimeter. 2020. Available online: https://panda.gsi.de/system/files/user_uploads/heinsius%40ep1.rub.de/RE-TDR-2020-007.pdf (accessed on 30 July 2022).
- Eissner, T. The new PWO Crystal Generation and Concepts for the Performance Optimisation of the PANDA EMC. Available online: http://geb.uni-giessen.de/geb/volltexte/2013/10382 (accessed on 30 July 2022).
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Zhang, Z.; Zhao, G.; Sun, S.; Pu, Q.; Liu, C.; Yu, C.; Liu, D.; Qi, H.; Huang, G.; Stockmanns, T.; et al. Performance Study of a New Cluster Splitting Algorithm for the Reconstruction of PANDA EMC Data. Instruments 2022, 6, 34. https://doi.org/10.3390/instruments6030034
Zhang Z, Zhao G, Sun S, Pu Q, Liu C, Yu C, Liu D, Qi H, Huang G, Stockmanns T, et al. Performance Study of a New Cluster Splitting Algorithm for the Reconstruction of PANDA EMC Data. Instruments. 2022; 6(3):34. https://doi.org/10.3390/instruments6030034
Chicago/Turabian StyleZhang, Ziyu, Guang Zhao, Shengsen Sun, Qing Pu, Chunxiu Liu, Chunxu Yu, Dong Liu, Hang Qi, Guangshun Huang, Tobias Stockmanns, and et al. 2022. "Performance Study of a New Cluster Splitting Algorithm for the Reconstruction of PANDA EMC Data" Instruments 6, no. 3: 34. https://doi.org/10.3390/instruments6030034