| Issue |
EPJ Web Conf.
Volume 320, 2025
20th International Conference on Calorimetry in Particle Physics (CALOR 2024)
|
|
|---|---|---|
| Article Number | 00045 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/epjconf/202532000045 | |
| Published online | 07 March 2025 | |
https://doi.org/10.1051/epjconf/202532000045
Review of energy reconstruction algorithms in the CMS Hadron Calorimeter
1 Nanjing Normal University, Nanjing, Jiangsu, China
2 Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA
* e-mail: h.wang@cern.ch
Published online: 7 March 2025
Energy reconstruction is a crucial step for all calorimeters, which takes the digitized signal as input, and outputs the energy of the sample of interest. This paper introduces different energy reconstruction algorithms used in the CMS hadron calorimeter during LHC Run 1 and Run 2, and compares their performance. A machine learning based algorithm is also presented, which shows improved performance.
© The Authors, published by EDP Sciences, 2025
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