| Issue |
EPJ Web Conf.
Volume 320, 2025
20th International Conference on Calorimetry in Particle Physics (CALOR 2024)
|
|
|---|---|---|
| Article Number | 00047 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/epjconf/202532000047 | |
| Published online | 07 March 2025 | |
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
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.