{"id":"W3108845853","doi":"10.1140/epjc/s10052-021-09233-2","title":"Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at $$\\sqrt{s}=13$$ TeV","year":2021,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":263,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of British Columbia; TRIUMF; Carleton University; Simon Fraser University; University of Alberta; Université de Montréal; Institute of Particle Physics; University of Victoria; McGill University; University of Toronto","funders":"H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; European Regional Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; British Columbia Knowledge Development Fund; Fundação para a Ciência e a Tecnologia; Agencia Nacional de Promoción Científica y Tecnológica; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Science and Technology Facilities Council; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Natural Sciences and Engineering Research Council of Canada; European Social Fund; Royal Society; Centre National pour la Recherche Scientifique et Technique; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; Israel Science Foundation; Türkiye Atom Enerjisi Kurumu; Joint Institute for Nuclear Research; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat de Catalunya; Generalitat Valenciana; Austrian Science Fund; U.S. Department of Energy; National Natural Science Foundation of China; Alexander von Humboldt-Stiftung; Institut de Valorisation des Données; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Agencia Nacional de Investigación y Desarrollo; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; General Secretariat for Research and Technology; National Science Foundation; Compute Canada; TRIUMF; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Canarie; Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond; Ministerio de Ciencia e Innovación","keywords":"Large Hadron Collider; Muon; Physics; Atlas (anatomy); ATLAS experiment; Nuclear physics; Particle physics; Collision; Luminosity; Vertex (graph theory); Computer science; Astrophysics; Mathematics; Combinatorics","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":[0.004378764,0.00153287,0.001145451,0.002436775,0.001358378,0.003386161,0.001239496,0.000970741,0.006313479],"category_scores_gemma":[0.00350129,0.001069675,0.001943251,0.003850204,0.0004384153,0.001296477,0.002129141,0.0007708506,0.00311344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661591,"about_ca_system_score_gemma":0.001540876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01390853,"about_ca_topic_score_gemma":0.02670874,"domain_scores_codex":[0.9973592,0.000565262,0.0001313634,0.0006073889,0.0008272636,0.0005095229],"domain_scores_gemma":[0.9977285,0.000750374,0.0002323915,0.0005655228,0.0005739039,0.0001492577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0275268,0.0008871201,0.5047378,0.001352557,0.003872945,0.003357593,0.001615513,0.1386571,0.09999026,0.02297192,0.09518642,0.09984408],"study_design_scores_gemma":[0.001135822,0.001011912,0.4998716,0.0002684444,0.001619235,0.002591847,0.001281021,0.2591474,0.167609,0.007694318,0.05688569,0.0008837447],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8811569,0.001523222,0.0234367,0.0006139738,0.0001262508,0.0001135121,0.05289527,0.009443755,0.03069032],"genre_scores_gemma":[0.8792509,0.0003446795,0.01413591,0.0002935594,0.00006028565,0.0001326199,0.09632124,0.002075071,0.007385694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01390853,"threshold_uncertainty_score":0.02765518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364862966552388,"score_gpt":0.2958591666999962,"score_spread":0.2593728700447574,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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