{"id":"https://openalex.org/W4226070120","doi":"https://doi.org/10.48550/arxiv.2203.00330","title":"Machine Learning for Particle Flow Reconstruction at CMS","display_name":"Machine Learning for Particle Flow Reconstruction at CMS","publication_year":2022,"publication_date":"2022-03-01","ids":{"openalex":"https://openalex.org/W4226070120","doi":"https://doi.org/10.48550/arxiv.2203.00330"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2203.00330","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.00330","pdf_url":"https://arxiv.org/pdf/2203.00330","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2203.00330","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108716426","display_name":"Joosep Pata","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pata, Joosep","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100747243","display_name":"J. Duarte","orcid":"https://orcid.org/0000-0002-5076-7096"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duarte, Javier","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003381899","display_name":"Farouk Mokhtar","orcid":"https://orcid.org/0000-0003-2533-3402"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mokhtar, Farouk","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074206936","display_name":"Eric Wulff","orcid":"https://orcid.org/0000-0002-4681-8516"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wulff, Eric","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046859836","display_name":"J. Yoo","orcid":"https://orcid.org/0000-0002-3826-1332"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoo, Jieun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100751779","display_name":"Jean-Roch Vlimant","orcid":"https://orcid.org/0000-0002-9705-101X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vlimant, Jean-Roch","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106315352","display_name":"M. Pierini","orcid":"https://orcid.org/0000-0003-1939-4268"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pierini, Maurizio","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5104105662","display_name":"Maria Girone","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Girone, Maria","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5108716426"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.996399998664856,"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":0.996399998664856,"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":0.9959999918937683,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6097114086151123},{"id":"https://openalex.org/keywords/event-reconstruction","display_name":"Event reconstruction","score":0.5861849188804626},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5416479706764221},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.529278576374054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5037083029747009},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.4832082986831665},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.479096919298172},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4762822985649109},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.472115159034729},{"id":"https://openalex.org/keywords/high-energy-particle","display_name":"High energy particle","score":0.4635215699672699},{"id":"https://openalex.org/keywords/calorimeter","display_name":"Calorimeter (particle physics)","score":0.45656734704971313},{"id":"https://openalex.org/keywords/energy-flow","display_name":"Energy flow","score":0.4525448977947235},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45159363746643066},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45100510120391846},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.40871691703796387},{"id":"https://openalex.org/keywords/particle-physics","display_name":"Particle physics","score":0.40804755687713623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3480656147003174},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.33958590030670166},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2826422452926636},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.13815638422966003},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08419826626777649}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6097114086151123},{"id":"https://openalex.org/C2775853353","wikidata":"https://www.wikidata.org/wiki/Q5416724","display_name":"Event reconstruction","level":3,"score":0.5861849188804626},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5416479706764221},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.529278576374054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5037083029747009},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.4832082986831665},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.479096919298172},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4762822985649109},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.472115159034729},{"id":"https://openalex.org/C3017829689","wikidata":"https://www.wikidata.org/wiki/Q18334","display_name":"High energy particle","level":2,"score":0.4635215699672699},{"id":"https://openalex.org/C18073261","wikidata":"https://www.wikidata.org/wiki/Q1722586","display_name":"Calorimeter (particle physics)","level":3,"score":0.45656734704971313},{"id":"https://openalex.org/C206815995","wikidata":"https://www.wikidata.org/wiki/Q1341307","display_name":"Energy flow","level":3,"score":0.4525448977947235},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45159363746643066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45100510120391846},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.40871691703796387},{"id":"https://openalex.org/C109214941","wikidata":"https://www.wikidata.org/wiki/Q18334","display_name":"Particle physics","level":1,"score":0.40804755687713623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3480656147003174},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.33958590030670166},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2826422452926636},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.13815638422966003},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08419826626777649},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2203.00330","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.00330","pdf_url":"https://arxiv.org/pdf/2203.00330","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:cds.cern.ch:2802588","is_oa":true,"landing_page_url":"http://cds.cern.ch/record/2802588","pdf_url":null,"source":{"id":"https://openalex.org/S4306402195","display_name":"CERN Document Server (European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"","raw_type":""},{"id":"doi:10.48550/arxiv.2203.00330","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2203.00330","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2203.00330","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.00330","pdf_url":"https://arxiv.org/pdf/2203.00330","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2068938030","https://openalex.org/W2281386547","https://openalex.org/W4239864527","https://openalex.org/W2034621262","https://openalex.org/W2952446351","https://openalex.org/W1909858025","https://openalex.org/W2802610932","https://openalex.org/W30127437","https://openalex.org/W4226070120","https://openalex.org/W4320917101"],"abstract_inverted_index":{"We":[0,57,127],"provide":[1,30],"details":[2],"on":[3,24,86],"the":[4,37,87,96,102,107,112,118,130,134,146],"implementation":[5],"of":[6,40,63,90,121,133],"a":[7,31,60,74],"machine-learning":[8],"based":[9,23,85],"particle":[10,17,64,83],"flow":[11,18,65],"algorithm":[12,19,114],"for":[13,48],"CMS.":[14],"The":[15,78],"standard":[16],"reconstructs":[20,82],"stable":[21],"particles":[22],"calorimeter":[25,93],"clusters":[26,94],"and":[27,53,92,123,142],"tracks":[28,91],"to":[29,45],"global":[32],"event":[33],"reconstruction":[34,120],"that":[35],"exploits":[36],"combined":[38],"information":[39],"multiple":[41],"detector":[42],"subsystems,":[43],"leading":[44],"strong":[46],"improvements":[47],"quantities":[49],"such":[50,70],"as":[51,71],"jets":[52,122],"missing":[54,124],"transverse":[55,125],"energy.":[56,126],"have":[58],"studied":[59],"possible":[61],"evolution":[62],"towards":[66],"heterogeneous":[67],"computing":[68],"platforms":[69],"GPUs":[72],"using":[73],"graph":[75],"neural":[76],"network.":[77],"machine-learned":[79],"PF":[80],"model":[81],"candidates":[84],"full":[88],"list":[89],"in":[95,106,140],"event.":[97],"For":[98],"validation,":[99],"we":[100],"determine":[101],"physics":[103],"performance":[104,132],"directly":[105],"CMS":[108],"software":[109],"framework":[110],"when":[111],"proposed":[113],"is":[115],"interfaced":[116],"with":[117,145],"offline":[119],"also":[128],"report":[129],"computational":[131],"algorithm,":[135],"which":[136],"scales":[137],"approximately":[138],"linearly":[139],"runtime":[141],"memory":[143],"usage":[144],"input":[147],"size.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
