{"id":"W4405095571","doi":"10.21468/scipostphys.19.6.155","title":"Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network","year":2025,"lang":"en","type":"preprint","venue":"SciPost Physics","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dominion Astrophysical Observatory; Institute of Particle Physics; Simon Fraser University; York University; University of British Columbia; Carleton University; University of Toronto; University of Victoria; McGill University; University of Alberta; Université de Montréal","funders":"Stockholm Resilience Centre, Stockholm University; H2020 Marie Skłodowska-Curie Actions; Fondo Nacional de Desarrollo Científico y Tecnológico; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Estatal de Investigación; Agencia Nacional de Promoción Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Japan Society for the Promotion of Science; Horizon 2020 Framework Programme; Ministero dell'Università e della Ricerca; Alliance de recherche numérique du Canada; Agencia Nacional de Investigación y Desarrollo; Canton de Genève; NextGenerationEU; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; European Social Fund; Royal Society; Centre National pour la Recherche Scientifique et Technique; European Regional Development Fund; British Columbia Knowledge Development Fund; Göran Gustafssons Stiftelser; Max-Planck-Gesellschaft; Neubauer Family Foundation; Centre National de la Recherche Scientifique; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Ministerio de Ciencia, Tecnología e Innovación; Generalitat Valenciana; Generalitat de Catalunya; U.S. Department of Energy; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Austrian Science Fund; Grantová Agentura České Republiky; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology; Bundesministerium für Bildung und Forschung; National Science and Technology Council; Ministerstvo Školství, Mládeže a Tělovýchovy; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canada Research Chairs; Science and Technology Facilities Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Science and Technology of the People's Republic of China; Kanton Bern; Agence Nationale de la Recherche; Narodowa Agencja Wymiany Akademickiej; European Cooperation in Science and Technology; Royal Swedish Academy of Sciences; General Secretariat for Research and Technology; National Science Foundation; Istituto Nazionale di Fisica Nucleare; UK Research and Innovation; Baden-Württemberg Stiftung; H2020 European Research Council; Norges Forskningsråd; Alexander von Humboldt-Stiftung; TRIUMF; Danmarks Grundforskningsfond; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Azərbaycan Milli Elmlər Akademiyası; Canarie; HORIZON EUROPE Marie Sklodowska-Curie Actions; Israel Academy of Sciences and Humanities; Centres de Recerca de Catalunya; CERN; National Natural Science Foundation of China","keywords":"Atlas (anatomy); Calibration; Artificial neural network; Estimator; Context (archaeology); Calorimeter (particle physics); Physics; Computer science; Artificial intelligence; Large Hadron Collider; Deep neural networks; Statistical physics; Particle physics; Statistics; Optics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002134447,0.0003225195,0.0004599416,0.00002362544,0.0001687591,0.00008721484,0.0004417858,0.00006592063,0.00002984161],"category_scores_gemma":[0.000002608281,0.0002371061,0.0002087004,0.0002734277,0.0001937451,0.0001547881,0.0006594562,0.0003482083,0.000001903809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005425506,"about_ca_system_score_gemma":0.00007458272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008782365,"about_ca_topic_score_gemma":0.000003745079,"domain_scores_codex":[0.9981465,0.0002978642,0.0004414741,0.0004294618,0.0003312961,0.0003534244],"domain_scores_gemma":[0.9990028,0.0001600843,0.0002091042,0.0004969437,0.00007628308,0.00005482315],"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":[0.0001726229,0.001303843,0.005726766,0.0000716111,0.0002053668,0.000001278626,0.006936088,0.9068748,0.01386237,0.0573624,0.0002009136,0.007281968],"study_design_scores_gemma":[0.0004087065,0.0001409295,0.0001172309,0.0003186752,0.0001076063,8.680005e-8,0.001799389,0.4060045,0.2454045,0.3452326,0.00002664257,0.0004392164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835028,0.0002027226,0.01411441,0.00009146162,0.0003981825,0.0006102982,0.0001389411,0.0000171179,0.000924084],"genre_scores_gemma":[0.9984609,0.000002373886,0.0004176249,0.00003787631,0.0007928845,0.00009328457,0.000171318,0.00001518011,0.000008493854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5008703,"threshold_uncertainty_score":0.9668906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04349015398658918,"score_gpt":0.3307360251914124,"score_spread":0.2872458712048233,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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