{"created":"2025-02-10T00:12:09.154433+00:00","id":2006050,"links":{},"metadata":{"_buckets":{"deposit":"4fb0e047-d2b3-4edf-a838-1b274d060646"},"_deposit":{"created_by":83,"id":"2006050","owner":"83","owners":[83],"pid":{"revision_id":0,"type":"depid","value":"2006050"},"status":"published"},"_oai":{"id":"oai:nara-wu.repo.nii.ac.jp:02006050","sets":["1708505779733:1708506225397:1708506244269"]},"author_link":[],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2023","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"7","bibliographic_titles":[{"bibliographic_title":"Computing and Software for Big Science","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"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 currently used \nreconstruction algorithm for both isolated and overlapping photons of more than 30% for photons with energies E𝛾 < 0.5 GeV and high levels of beam backgrounds. Overall, the GNN reconstruction improves the resolution and reduces the tails of the reconstructed energy distribution and therefore is a promising option for the upcoming high luminosity running of Belle II.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Springer Nature","subitem_publisher_language":"en"}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1007/s41781-023-00105-w","subitem_relation_type_select":"DOI"}}]},"item_10001_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© The Author(s)","subitem_rights_language":"en"}]},"item_10001_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2510-2044","subitem_source_identifier_type":"EISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"宮林 謙吉","creatorNameLang":"ja"},{"creatorName":"みやばやし けんきち","creatorNameLang":"ja-Kana"},{"creatorName":"Kenkichi Miyabayashi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1000040273833","nameIdentifierScheme":"KAKEN2","nameIdentifierURI":"https://nrid.nii.ac.jp/nrid/1000040273833"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateValue":"2025-02-10"}],"fileDate":[{"fileDateType":"Available","fileDateValue":"2025-02-10"}],"url":{"objectType":"fulltext","url":"https://doi.org/10.1007/s41781-023-00105-w"}}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Calorimeter","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Photon reconstruction","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Overlapping clusters","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"High background","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Fuzzy clustering","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Machine learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Deep learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Graph neural networks","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"End-to-end representation spaces","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks","subitem_title_language":"en"}]},"item_type_id":"10001","owner":"83","path":["1708506244269"],"publish_date":"2025-02-10","publish_status":"0","recid":"2006050","relation_version_is_last":true,"title":["Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks"],"weko_creator_id":"83","weko_shared_id":-1},"updated":"2025-02-10T00:13:33.677242+00:00"}