{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003701358,0.001772246,0.001529034,0.0008329938,0.001191934,0.002682367,0.00562995,0.001881839,0.03268677],"category_scores_gemma":[0.007072443,0.001225305,0.002874774,0.001437847,0.0009739514,0.002818206,0.002527031,0.003424699,0.009635841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904803,"about_ca_system_score_gemma":0.003719253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01331983,"about_ca_topic_score_gemma":0.01025661,"domain_scores_codex":[0.9981077,0.0006172661,0.0001124081,0.0002150885,0.0006863606,0.0002610466],"domain_scores_gemma":[0.997021,0.001291789,0.0001356762,0.0004902545,0.0006836128,0.0003774804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002533262,0.0003778553,0.00923803,0.00103139,0.0008047945,0.0005788668,0.0005289223,0.5821985,0.007985004,0.06881569,0.2652787,0.06062911],"study_design_scores_gemma":[0.0003586406,0.00009288284,0.0005108372,0.00005577977,0.00005839234,0.00005822252,0.00004719849,0.9090047,0.00526551,0.02134547,0.06311986,0.00008251966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04598063,0.002065934,0.607335,0.002557293,0.002389144,0.000645556,0.03095376,0.2505947,0.05747807],"genre_scores_gemma":[0.343809,0.00133271,0.4990297,0.002658962,0.0003757156,0.001971029,0.06946447,0.06178485,0.0195735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03268677,"threshold_uncertainty_score":0.1093481,"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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