{"id":"W4229066375","doi":"10.1007/s41781-021-00079-7","title":"AtlFast3: The Next Generation of Fast Simulation in ATLAS","year":2022,"lang":"en","type":"article","venue":"Computing and Software for Big Science","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":107,"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":"European Social Fund; British Columbia Knowledge Development 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; Centre National pour la Recherche Scientifique et Technique; National Research Center \"Kurchatov Institute\"; Centre National de la Recherche Scientifique; Israel Science Foundation; Joint Institute for Nuclear Research; 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; U.S. Department of Energy; National Natural Science Foundation of China; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministry of Education, Culture, Sports, Science and Technology; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; National Science Foundation; Alexander von Humboldt-Stiftung; TRIUMF; Max-Planck-Gesellschaft; Royal Society; Compute Canada; Agencia Nacional de Investigación y Desarrollo; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Generalitat de Catalunya; European Regional Development Fund; Bundesministerium für Bildung und Forschung; Canarie; Deutsche Forschungsgemeinschaft; Centres de Recerca de Catalunya; Ministerstwo Edukacji i Nauki; CERN; Danmarks Grundforskningsfond; Ministerio de Ciencia e Innovación; European Commission; Leverhulme Trust; Türkiye Atom Enerjisi Kurumu","keywords":"Atlas (anatomy); Monte Carlo method; Computer science; ATLAS experiment; Substructure; Ranging; Large Hadron Collider; Detector; Parameterized complexity; Range (aeronautics); Petabyte; Computational science; Simulation; Physics; Aerospace engineering; Particle physics; Operating system; Engineering; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002199465,0.00003931474,0.00005864348,0.0000163752,0.000575289,0.00002531978,0.00009172795,0.000002503379,0.000002804439],"category_scores_gemma":[0.00001539426,0.00002850176,0.00001685547,0.0002358258,0.0002017991,0.00004160313,0.0001615021,0.00003480036,2.789794e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001137881,"about_ca_system_score_gemma":0.00001675251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003535015,"about_ca_topic_score_gemma":3.162977e-7,"domain_scores_codex":[0.9995695,0.00001534122,0.00008835838,0.0001148853,0.0001009358,0.0001110009],"domain_scores_gemma":[0.9997484,0.0001149095,0.00003628643,0.0000540866,0.00003008827,0.00001622058],"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":[0.00002723939,0.0002138107,0.1144719,0.00001207251,0.00001214501,1.164062e-7,0.009363133,0.3396236,0.07611479,0.08995257,0.00003742996,0.3701713],"study_design_scores_gemma":[0.0003634012,0.0001278912,0.006616198,0.00000988198,0.000005451212,2.05682e-7,0.002273123,0.9388364,0.03012335,0.02134265,0.0001807621,0.0001207198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698488,0.000040128,0.02980855,0.00004423189,0.0001099406,0.00008089307,0.000005184383,0.000005444636,0.00005679398],"genre_scores_gemma":[0.999526,1.487096e-7,0.0003610051,0.00001168908,0.0000825801,0.000008945943,0.00000276495,0.000001869687,0.000005051253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5992128,"threshold_uncertainty_score":0.4424716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06375592299349846,"score_gpt":0.3100505767837097,"score_spread":0.2462946537902112,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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