{"id":"https://openalex.org/W7001114035","doi":null,"title":"Identification of Hadronic Tau Lepton Decays with Domain Adaptation using Adversarial Machine Learning at CMS","display_name":"Identification of Hadronic Tau Lepton Decays with Domain Adaptation using Adversarial Machine Learning at CMS","publication_year":2022,"publication_date":"2022-06-28","ids":{"openalex":"https://openalex.org/W7001114035"},"language":"en","primary_location":{"id":"pmh:oai:cds.cern.ch:2827366","doi":null,"is_oa":true,"landing_page_url":"http://cds.cern.ch/record/2827366","pdf_url":"https://repository.cern/records/1ebs0-dzp03/files/CERN-THESIS-2022-126.pdf","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,"listed_in":[],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.cern/records/1ebs0-dzp03/files/CERN-THESIS-2022-126.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Russell, Lucas","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Russell, Lucas","raw_affiliation_strings":["Imperial College London","Science of Imperial College London "],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Science of Imperial College London ","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.0301,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35445343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.8672000169754028,"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":0.8672000169754028,"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":0.06920000165700912,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.019600000232458115,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/tau-lepton-identification","display_name":"tau lepton identification","score":0.9509999752044678},{"id":"https://openalex.org/keywords/hadronic-tau-decays","display_name":"hadronic tau decays","score":0.9900000095367432},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"domain adaptation","score":0.765999972820282},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"adversarial learning","score":0.9670000076293945},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7289999723434448},{"id":"https://openalex.org/keywords/cms-experiment","display_name":"CMS experiment","score":0.5770000219345093}],"concepts":[{"id":"https://openalex.org/C109214941","wikidata":"https://www.wikidata.org/wiki/Q18334","display_name":"Particle physics","level":1,"score":0.7235999703407288},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.637499988079071},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6254000067710876},{"id":"https://openalex.org/C179203047","wikidata":"https://www.wikidata.org/wiki/Q82586","display_name":"Lepton","level":3,"score":0.6247000098228455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5861999988555908},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5519999861717224},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5195000171661377},{"id":"https://openalex.org/C19694890","wikidata":"https://www.wikidata.org/wiki/Q101667","display_name":"Hadron","level":2,"score":0.4788999855518341},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4763999879360199},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C186453547","wikidata":"https://www.wikidata.org/wiki/Q2126","display_name":"Neutrino","level":2,"score":0.4607999920845032},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45570001006126404},{"id":"https://openalex.org/C123579102","wikidata":"https://www.wikidata.org/wiki/Q3299","display_name":"Gluon","level":3,"score":0.45210000872612},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4194999933242798},{"id":"https://openalex.org/C7602139","wikidata":"https://www.wikidata.org/wiki/Q6718","display_name":"Quark","level":2,"score":0.41530001163482666},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C152290109","wikidata":"https://www.wikidata.org/wiki/Q2033879","display_name":"Collider","level":2,"score":0.34929999709129333},{"id":"https://openalex.org/C87668248","wikidata":"https://www.wikidata.org/wiki/Q40605","display_name":"Large Hadron Collider","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C185137736","wikidata":"https://www.wikidata.org/wiki/Q306600","display_name":"Tau neutrino","level":4,"score":0.3393000066280365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33889999985694885},{"id":"https://openalex.org/C184748400","wikidata":"https://www.wikidata.org/wiki/Q2599934","display_name":"Physics beyond the Standard Model","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33480000495910645},{"id":"https://openalex.org/C207206121","wikidata":"https://www.wikidata.org/wiki/Q6778","display_name":"Top quark","level":3,"score":0.2955999970436096},{"id":"https://openalex.org/C185544564","wikidata":"https://www.wikidata.org/wiki/Q81197","display_name":"Nuclear physics","level":1,"score":0.29019999504089355},{"id":"https://openalex.org/C101454708","wikidata":"https://www.wikidata.org/wiki/Q17106019","display_name":"Standard Model (mathematical formulation)","level":3,"score":0.2847999930381775},{"id":"https://openalex.org/C2779510917","wikidata":"https://www.wikidata.org/wiki/Q7140498","display_name":"Particle identification","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.24529999494552612},{"id":"https://openalex.org/C2292967","wikidata":"https://www.wikidata.org/wiki/Q733096","display_name":"Quark\u2013gluon plasma","level":3,"score":0.24279999732971191},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2320999950170517},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.23199999332427979},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.22679999470710754},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2264000028371811},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.2215999960899353},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.22120000422000885},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.21299999952316284},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2076999992132187},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.20100000500679016},{"id":"https://openalex.org/C2778671642","wikidata":"https://www.wikidata.org/wiki/Q1206668","display_name":"Electron\u2013positron annihilation","level":3,"score":0.20080000162124634},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.20000000298023224}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:cds.cern.ch:2827366","doi":null,"is_oa":true,"landing_page_url":"http://cds.cern.ch/record/2827366","pdf_url":"https://repository.cern/records/1ebs0-dzp03/files/CERN-THESIS-2022-126.pdf","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,"listed_in":[],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:cds.cern.ch:2827366","doi":null,"is_oa":true,"landing_page_url":"http://cds.cern.ch/record/2827366","pdf_url":"https://repository.cern/records/1ebs0-dzp03/files/CERN-THESIS-2022-126.pdf","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,"listed_in":[],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320915","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7001114035.pdf","grobid_xml":"https://content.openalex.org/works/W7001114035.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W230920356","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1882958252","https://openalex.org/W1904365287","https://openalex.org/W1996413343","https://openalex.org/W2002765086","https://openalex.org/W2020084508","https://openalex.org/W2045120204","https://openalex.org/W2097795946","https://openalex.org/W2100507804","https://openalex.org/W2110999179","https://openalex.org/W2112796928","https://openalex.org/W2125102738","https://openalex.org/W2128158076","https://openalex.org/W2147446818","https://openalex.org/W2147800946","https://openalex.org/W2151512268","https://openalex.org/W2159227720","https://openalex.org/W2165037242","https://openalex.org/W2170584273","https://openalex.org/W2257065426","https://openalex.org/W2624881227","https://openalex.org/W2734983545","https://openalex.org/W2743153918","https://openalex.org/W2792901863","https://openalex.org/W2797305656","https://openalex.org/W2884561390","https://openalex.org/W2894787351","https://openalex.org/W2900236209","https://openalex.org/W2921141312","https://openalex.org/W2950853342","https://openalex.org/W2955124559","https://openalex.org/W2964121744","https://openalex.org/W2998149898","https://openalex.org/W3009040139","https://openalex.org/W3015519325","https://openalex.org/W3036033960","https://openalex.org/W3088573188","https://openalex.org/W3108284800","https://openalex.org/W3131624221","https://openalex.org/W3178960719","https://openalex.org/W4226035954","https://openalex.org/W4226094857","https://openalex.org/W4232091795","https://openalex.org/W4281761072","https://openalex.org/W4383102915"],"related_works":["https://openalex.org/W7126063156","https://openalex.org/W7128159522","https://openalex.org/W6906490929","https://openalex.org/W7051524100","https://openalex.org/W3198121697","https://openalex.org/W7047663263","https://openalex.org/W4406683547","https://openalex.org/W7038580133","https://openalex.org/W3169017264","https://openalex.org/W4223687492"],"abstract_inverted_index":{"This":[0,59,97],"thesis":[1],"reports":[2],"improved":[3],"machine":[4,121],"learning-based":[5],"techniques":[6,123],"to":[7,129,142],"discriminate":[8],"genuine":[9,72],"decays":[10],"of":[11,40,66,77,105,118,137],"tau":[12,35,73,152],"leptons":[13],"into":[14,93],"hadrons":[15],"and":[16,84,113],"a":[17,48],"neutrino":[18],"against":[19,82],"all":[20],"main":[21],"backgrounds":[22],"at":[23,45],"the":[24,41,94,103,106,125,132,135],"CMS":[25],"experiment.":[26],"The":[27,75,116],"deep":[28],"convolutional":[29],"neural":[30],"network,":[31],"DeepTau,":[32],"used":[33],"for":[34,64],"identification":[36,153],"by":[37,89,101],"physics":[38],"analyses":[39],"2016-2018":[42],"data-taking":[43],"period":[44],"CMS,":[46],"shows":[47],"sizeably":[49],"different":[50],"performance":[51,104],"on":[52,80,109,151],"collider":[53],"data":[54,112],"versus":[55],"Monte":[56],"Carlo":[57],"simulations.":[58],"effect":[60],"is":[61,140],"particularly":[62],"prominent":[63],"regions":[65],"parameter":[67],"space":[68],"that":[69],"have":[70],"high":[71],"purity.":[74],"effects":[76],"this":[78],"mismodelling":[79],"discrimination":[81],"quark":[83],"gluon":[85],"jets":[86],"are":[87],"reduced":[88,124],"introducing":[90],"domain":[91],"adaptation":[92],"training":[95],"workflow.":[96],"approach":[98],"was":[99],"validated":[100],"comparing":[102],"resulting":[107],"network":[108],"proton-proton":[110],"collision":[111],"simulated":[114],"events.":[115],"use":[117],"these":[119],"adversarial":[120],"learning":[122],"discrepancies":[126],"from":[127],"13.3%":[128],"0.80%":[130],"in":[131],"region":[133],"where":[134],"purity":[136],"hadronic":[138],"taus":[139],"expected":[141],"be":[143],"above":[144],"96%,":[145],"while":[146],"having":[147],"no":[148],"significant":[149],"impact":[150],"performance.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}