{"id":"W3129605782","doi":"10.1007/s41781-021-00062-2","title":"Emulating the impact of additional proton–proton interactions in the ATLAS simulation by presampling sets of inelastic Monte Carlo events","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":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of British Columbia; Simon Fraser University; Carleton University; TRIUMF; 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":"Monte Carlo method; Large Hadron Collider; Atlas (anatomy); Physics; Inelastic scattering; Proton; Event (particle physics); Statistical physics; Nuclear physics; Computer science; Scattering; Optics; Statistics; Mathematics","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":[0.001637716,0.0005851249,0.0006315458,0.0005336638,0.0005656836,0.0008451492,0.001396079,0.000739464,0.002994302],"category_scores_gemma":[0.006191825,0.0004171955,0.0006856942,0.0006718545,0.0005372971,0.0006735332,0.0006128112,0.001045618,0.0004210498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008150471,"about_ca_system_score_gemma":0.001512494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01613902,"about_ca_topic_score_gemma":0.01347825,"domain_scores_codex":[0.9993142,0.0002399705,0.00004069253,0.0001001136,0.0001941162,0.0001109504],"domain_scores_gemma":[0.9956643,0.002976113,0.0001846356,0.0004660531,0.0004739324,0.0002348672],"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":[0.0002477674,0.00008615921,0.008052049,0.00005970317,0.00007846031,0.00008073665,0.00006496374,0.9782954,0.002313798,0.002949675,0.0007805703,0.006990707],"study_design_scores_gemma":[0.00002014294,0.0000392058,0.0007329916,0.000005884531,0.00001547015,0.00001306437,0.00001561182,0.9964281,0.001607563,0.000697225,0.0004167874,0.000008064868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8567231,0.0004799661,0.1298698,0.00031815,0.0001847043,0.0001251998,0.001237962,0.002467044,0.008594071],"genre_scores_gemma":[0.9504599,0.000103468,0.04608029,0.0001421696,0.0000356491,0.0001039895,0.001640753,0.0003458541,0.001087909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01613902,"threshold_uncertainty_score":0.03209019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163772604268926,"score_gpt":0.3562661584029578,"score_spread":0.3246284323602686,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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