https://doi.org/10.1051/epjconf/202532000047
Pattern recognition at CEPC AHCAL prototype using beam test data at CERN
1 Institute of High Energy Physics, Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, Beijing 100049, China
2 University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China
* e-mail: xiax@ihep.ac.cn
Published online: 7 March 2025
A particle flow algorithm (PFA) oriented analog hadronic calorimeter (AHCAL) has been developed for the Circular Electron Positron Collider (CEPC). The AHCAL prototype underwent testing at the CERN SPS H2/H8 and PS T9 beam line between 2022 to 2023, during which 63 million events corresponding to muons, electrons, and pions were accumulated. Analysis of these events demonstrates the capability of pattern recognition to effectively distinguish between various components, including noise, minimum ionization particle, electrons, and pions. The fractions of these components were evaluated.
© The Authors, published by EDP Sciences, 2025
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