Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks
Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks
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Author / Creator
Wemmer, F , Haide, I , Eppelt, J , Ferber, T , Beaubien, A , Branchini, P , Campajola, M , Cecchi, C , Cheema, P , De Nardo, G , Hearty, C , Kuzmin, A , Longo, S , Manoni, E , Meier, F , Merola, M , Miyabayashi, K , Moneta, S , Remnev, M , Roney, J M , J -G Shiu , Shwartz, B , Unno, Y , R van Tonder and Volpe, R
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
We present the study of a fuzzy clustering algorithm for the Belle II electromagnetic calorimeter using Graph Neural Networks. We use a realistic detector simulation including simulated beam backgrounds and focus on the reconstruction of both isolated and overlapping photons. We find significant improvements of the energy resolution compared to the...
Alternative Titles
Full title
Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2823793765
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2823793765
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2306.04179
