{"id":"https://openalex.org/W4220694307","doi":"https://doi.org/10.3390/a15040115","title":"Deep Learning Study of an Electromagnetic Calorimeter","display_name":"Deep Learning Study of an Electromagnetic Calorimeter","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4220694307","doi":"https://doi.org/10.3390/a15040115"},"language":"en","primary_location":{"id":"doi:10.3390/a15040115","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15040115","pdf_url":"https://www.mdpi.com/1999-4893/15/4/115/pdf?version=1649745008","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/15/4/115/pdf?version=1649745008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049116857","display_name":"Elihu Sela","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Elihu Sela","raw_affiliation_strings":["School of Physics and Astronomy, Tel Aviv University, Tel Aviv-Yafo 6997801, Israel"],"affiliations":[{"raw_affiliation_string":"School of Physics and Astronomy, Tel Aviv University, Tel Aviv-Yafo 6997801, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102725956","display_name":"Shan Huang","orcid":"https://orcid.org/0000-0002-4926-4109"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Shan Huang","raw_affiliation_strings":["School of Physics and Astronomy, Tel Aviv University, Tel Aviv-Yafo 6997801, Israel"],"affiliations":[{"raw_affiliation_string":"School of Physics and Astronomy, Tel Aviv University, Tel Aviv-Yafo 6997801, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001249894","display_name":"D. Horn","orcid":"https://orcid.org/0000-0003-2708-186X"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"David Horn","raw_affiliation_strings":["School of Physics and Astronomy, Tel Aviv University, Tel Aviv-Yafo 6997801, Israel"],"affiliations":[{"raw_affiliation_string":"School of Physics and Astronomy, Tel Aviv University, Tel Aviv-Yafo 6997801, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001249894"],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.6315,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.91253644,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"15","issue":"4","first_page":"115","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11044","display_name":"Particle Detector Development and Performance","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11090","display_name":"Dark Matter and Cosmic Phenomena","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.8455210328102112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7088050246238708},{"id":"https://openalex.org/keywords/calorimeter","display_name":"Calorimeter (particle physics)","score":0.6005077958106995},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.5653289556503296},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5272154808044434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.506372332572937},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.46982860565185547},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44955217838287354},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.43900150060653687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3657900094985962},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3562605082988739},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19797679781913757},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09528744220733643},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06869915127754211}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.8455210328102112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7088050246238708},{"id":"https://openalex.org/C18073261","wikidata":"https://www.wikidata.org/wiki/Q1722586","display_name":"Calorimeter (particle physics)","level":3,"score":0.6005077958106995},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.5653289556503296},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5272154808044434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.506372332572937},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46982860565185547},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44955217838287354},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.43900150060653687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3657900094985962},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3562605082988739},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19797679781913757},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09528744220733643},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06869915127754211},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a15040115","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15040115","pdf_url":"https://www.mdpi.com/1999-4893/15/4/115/pdf?version=1649745008","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:81cf039296ac4f93866bef2105d99aee","is_oa":true,"landing_page_url":"https://doaj.org/article/81cf039296ac4f93866bef2105d99aee","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 15, Iss 4, p 115 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/15/4/115/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a15040115","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 15; Issue 4; Pages: 115","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a15040115","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15040115","pdf_url":"https://www.mdpi.com/1999-4893/15/4/115/pdf?version=1649745008","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7491436850","display_name":null,"funder_award_id":"536/18","funder_id":"https://openalex.org/F4320322252","funder_display_name":"Israel Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220694307.pdf","grobid_xml":"https://content.openalex.org/works/W4220694307.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1661801558","https://openalex.org/W1667072054","https://openalex.org/W1849277567","https://openalex.org/W1858542512","https://openalex.org/W1965555277","https://openalex.org/W2013812309","https://openalex.org/W2022939780","https://openalex.org/W2027016096","https://openalex.org/W2125621954","https://openalex.org/W2128158076","https://openalex.org/W2148373594","https://openalex.org/W2163605009","https://openalex.org/W2167727518","https://openalex.org/W2194775991","https://openalex.org/W2325907229","https://openalex.org/W2587084097","https://openalex.org/W2919115771","https://openalex.org/W2995248424","https://openalex.org/W3037021111","https://openalex.org/W3094181696","https://openalex.org/W3098924902","https://openalex.org/W3099529633","https://openalex.org/W3101170768","https://openalex.org/W3126824449","https://openalex.org/W3195834318"],"related_works":["https://openalex.org/W2068938030","https://openalex.org/W2281386547","https://openalex.org/W4239864527","https://openalex.org/W2034621262","https://openalex.org/W2073755065","https://openalex.org/W2372565829","https://openalex.org/W4382619238","https://openalex.org/W1977257683","https://openalex.org/W1968690180","https://openalex.org/W4380075502"],"abstract_inverted_index":{"The":[0,58],"accurate":[1],"and":[2,20,103],"precise":[3],"extraction":[4],"of":[5,43,61,65,75,85,100,109],"information":[6,77],"from":[7,81],"a":[8,44,83],"modern":[9],"particle":[10],"detector,":[11],"such":[12,91],"as":[13,107],"an":[14,92],"electromagnetic":[15],"calorimeter,":[16],"may":[17,78],"be":[18,79,105],"complicated":[19],"challenging.":[21],"In":[22],"order":[23,66],"to":[24,52,68],"overcome":[25],"the":[26,30,35,54,76,86,97,101],"difficulties,":[27],"we":[28],"process":[29],"simulated":[31],"detector":[32,102],"outputs":[33],"using":[34],"deep-learning":[36],"methodology.":[37],"Our":[38],"algorithmic":[39],"approach":[40],"makes":[41],"use":[42],"known":[45],"network":[46],"architecture,":[47],"which":[48],"has":[49],"been":[50],"modified":[51],"fit":[53],"problems":[55],"at":[56],"hand.":[57],"results":[59],"are":[60],"high":[62],"quality":[63],"(biases":[64],"1":[67],"2%)":[69],"and,":[70],"moreover,":[71],"indicate":[72],"that":[73,90],"most":[74],"derived":[80],"only":[82],"fraction":[84],"detector.":[87],"We":[88],"conclude":[89],"analysis":[93],"helps":[94],"us":[95],"understand":[96],"essential":[98],"mechanism":[99],"should":[104],"performed":[106],"part":[108],"its":[110],"design":[111],"procedure.":[112]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2022-04-03T00:00:00"}