{"id":"W4391972643","doi":"10.1103/physrevlett.132.081801","title":"Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at s=13  TeV with the ATLAS Detector","year":2024,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of British Columbia; Simon Fraser University; TRIUMF; Carleton University; University of Alberta; Université de Montréal; Institute of Particle Physics; University of Victoria; McGill University; University of Toronto","funders":"Irish Rugby Football Union; H2020 Marie Skłodowska-Curie Actions; Rutherford Appleton Laboratory; Agencia Nacional de Promoción Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Japan Society for the Promotion of Science; Australian Research Council; National Research Council Canada; Horizon 2020 Framework Programme; Agencia Nacional de Investigación y Desarrollo; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; H2020 European Research Council; Norges Forskningsråd; Ministerio de Ciencia e Innovación; Institut National de Physique Nucléaire et de Physique des Particules; Ministry of Science and Technology, Taiwan; Canada Foundation for Innovation; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Narodowe Centrum Nauki; Knut och Alice Wallenbergs Stiftelse; Brookhaven National Laboratory; European Regional Development Fund; British Columbia Knowledge Development Fund; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; Canada Research Chairs; Göran Gustafssons Stiftelse för Naturvetenskaplig och Medicinsk Forskning; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat Valenciana; Ministerio de Ciencia, Tecnología e Innovación; Generalitat de Catalunya; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology; Bundesministerium für Bildung und Forschung; Ministerstvo Školství, Mládeže a Tělovýchovy; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; German-Israeli Foundation for Scientific Research and Development; Science and Technology Facilities Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministry of Science and Technology of the People's Republic of China; Agence Nationale de la Recherche; Austrian Science Fund; Javna Agencija za Raziskovalno Dejavnost RS; National Research Foundation; Narodowa Agencja Wymiany Akademickiej; European Cooperation in Science and Technology; General Secretariat for Research and Technology; Instituto Nazionale di Fisica Nucleare; United States-Israel Binational Science Foundation; Helmholtz-Gemeinschaft; Danmarks Grundforskningsfond; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Azərbaycan Milli Elmlər Akademiyası; “la Caixa” Foundation; European Social Fund; Centre National pour la Recherche Scientifique et Technique; Royal Society; Compute Canada; National Science Foundation; Alexander von Humboldt-Stiftung; TRIUMF; Centres de Recerca de Catalunya; CERN; Canarie; Israel Science Foundation; North Dakota Game and Fish Department; National Natural Science Foundation of China; U.S. Department of Energy","keywords":"Anomaly detection; Invariant (physics); Artificial intelligence; Computer science; Physics; Computer graphics (images); Mathematical physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007525069,0.0003689268,0.0003809478,0.001314393,0.0003170091,0.0005986576,0.0006174142,0.0004924893,0.0008519532],"category_scores_gemma":[0.002208503,0.0001992616,0.0005688702,0.0007286657,0.0004320852,0.0005940931,0.0006288056,0.0007119003,0.0002331565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004935306,"about_ca_system_score_gemma":0.0004509182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001965705,"about_ca_topic_score_gemma":0.002885917,"domain_scores_codex":[0.9997421,0.00005445807,0.00001144529,0.00007481389,0.00007312475,0.00004407189],"domain_scores_gemma":[0.9987187,0.0006941835,0.0002443825,0.000138069,0.0001336882,0.00007091869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001199348,0.0008925717,0.2979993,0.0001839729,0.0004725042,0.0009528095,0.000467601,0.2229294,0.1404623,0.01948398,0.005081052,0.3098753],"study_design_scores_gemma":[0.000008770508,0.00004520127,0.02243877,0.000003725863,0.00001311809,0.0001154694,0.00003370439,0.9629806,0.01039618,0.003621978,0.0003316523,0.0000108708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6775457,0.0000816651,0.3187664,0.0001976919,0.00001299404,0.00003078053,0.0003972041,0.001987166,0.0009804566],"genre_scores_gemma":[0.9267417,0.00003250997,0.07128815,0.00003107107,0.00001085108,0.00002430231,0.001199679,0.00009727888,0.0005744284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001965705,"threshold_uncertainty_score":0.003979683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019255015216354,"score_gpt":0.2672650312319101,"score_spread":0.2480100160155561,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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