R&D of the EM Calorimeter Energy Calibration with Machine Learning based on the low-level features of the Cluster
- DOI
- 10.1051/epjconf/202431503012
- Published
- 2024
- Container
- EPJ Web of Conferences
- Publisher
- EDP Sciences
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1051/epjconf/202431503012,
title = {R\&D of the EM Calorimeter Energy Calibration with Machine Learning based on the low-level features of the Cluster},
author = {Suzuna Morimasa and Masako Iwasaki and Taikan Suehara and Junichi Tanaka and Masahiko Saito and Hajime Nagahara and Yuta Nakashima and Noriko Takemura and Takashi Nakano},
year = {2024},
journal = {EPJ Web of Conferences},
doi = {10.1051/epjconf/202431503012},
url = {https://doi.org/10.1051/epjconf/202431503012}
}RIS
TY - JOUR TI - R&D of the EM Calorimeter Energy Calibration with Machine Learning based on the low-level features of the Cluster AU - Suzuna Morimasa AU - Masako Iwasaki AU - Taikan Suehara AU - Junichi Tanaka AU - Masahiko Saito AU - Hajime Nagahara AU - Yuta Nakashima AU - Noriko Takemura AU - Takashi Nakano PY - 2024 JO - EPJ Web of Conferences DO - 10.1051/epjconf/202431503012 UR - https://doi.org/10.1051/epjconf/202431503012 ER -
APA
Morimasa, S., Iwasaki, M., Suehara, T., Tanaka, J., Saito, M., Nagahara, H., Nakashima, Y., Takemura, N., & Nakano, T. (2024). R&D of the EM Calorimeter Energy Calibration with Machine Learning based on the low-level features of the Cluster. EPJ Web of Conferences. https://doi.org/10.1051/epjconf/202431503012
Source records
- crossref · retrieved 2026-09-25T16:51:38.198Z