{"id":"W4383370393","doi":"10.3204/pubdb-2023-04709","title":"Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at $\\sqrt{s} = 13$ TeV with the ATLAS detector","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Social Fund; Fundação para a Ciência e a Tecnologia; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Narodowa Agencja Wymiany Akademickiej; Centre National pour la Recherche Scientifique et Technique; Centre National de la Recherche Scientifique; Israel Science Foundation; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat Valenciana; Austrian Science Fund; European Regional Development Fund; Bundesministerium für Bildung und Forschung; Ministerstvo Školství, Mládeže a Tělovýchovy; U.S. Department of Energy; National Natural Science Foundation of China; Fundação de Amparo à Pesquisa do Estado de São Paulo; H2020 Marie Skłodowska-Curie Actions; Javna Agencija za Raziskovalno Dejavnost RS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Education, Culture, Sports, Science and Technology; Agence Nationale de la Recherche; National Science Foundation; Alexander von Humboldt-Stiftung; TRIUMF; Compute Canada; Max-Planck-Gesellschaft; Royal Society; Danmarks Grundforskningsfond; British Columbia Knowledge Development Fund; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Agencia Nacional de Investigación y Desarrollo; Generalitat de Catalunya; Canarie; Deutsche Forschungsgemeinschaft; Centres de Recerca de Catalunya; CERN; Leverhulme Trust; Ministerio de Ciencia e Innovación; European Commission","keywords":"Atlas detector; Atlas (anatomy); Particle physics; Anomaly detection; Invariant (physics); Invariant mass; Detector; Physics; Artificial intelligence; Large Hadron Collider; Anomaly (physics); Computer science; Pattern recognition (psychology); Mathematical physics; Optics; Geology; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005759106,0.000282568,0.0002794493,0.000775405,0.0002517826,0.0004399862,0.0004931375,0.0003668638,0.0006620113],"category_scores_gemma":[0.001607151,0.0001361914,0.0003037925,0.0004815958,0.0004022645,0.0004358036,0.000471056,0.0005670965,0.0001546566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003281463,"about_ca_system_score_gemma":0.0003275181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001240841,"about_ca_topic_score_gemma":0.001621612,"domain_scores_codex":[0.9997726,0.0000578391,0.000007978178,0.00005626107,0.00006789183,0.00003739797],"domain_scores_gemma":[0.9989797,0.0005570299,0.0001996832,0.00009969351,0.0001102606,0.00005351136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001392009,0.0008622448,0.2846899,0.000170628,0.0004388458,0.0007881605,0.000387698,0.2538831,0.2125626,0.01798858,0.004014898,0.2228214],"study_design_scores_gemma":[0.000008660169,0.00004502918,0.02998015,0.000002971246,0.00001172179,0.0001193539,0.00002881956,0.9513736,0.01486427,0.003254775,0.0002998594,0.00001090698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8954379,0.00005860899,0.102526,0.000134082,0.00001059916,0.000009663186,0.0002381332,0.0007258183,0.0008592567],"genre_scores_gemma":[0.9811835,0.00001701935,0.01795831,0.00001458019,0.000006846677,0.00000722293,0.0005216599,0.00003399239,0.0002567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001240841,"threshold_uncertainty_score":0.003045738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06687647374904716,"score_gpt":0.2335832069717695,"score_spread":0.1667067332227223,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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