{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002776746,0.0007122454,0.0004985977,0.0006444689,0.0005866113,0.001219277,0.001098126,0.001056758,0.001130964],"category_scores_gemma":[0.006721162,0.0004377835,0.0003610895,0.001062766,0.0009130177,0.001329961,0.001846644,0.001652391,0.000265441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657377,"about_ca_system_score_gemma":0.000911069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005857783,"about_ca_topic_score_gemma":0.007839416,"domain_scores_codex":[0.9989029,0.0003520914,0.00003391278,0.0002568373,0.0003783982,0.00007577729],"domain_scores_gemma":[0.9986295,0.0005951222,0.0001536822,0.00022909,0.0003340703,0.00005860933],"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":[0.0008784931,0.00009306314,0.006509516,0.0001093959,0.0001457281,0.00006852393,0.00009030713,0.8955364,0.01471054,0.01550089,0.001397035,0.06496014],"study_design_scores_gemma":[0.00002089514,0.00003276053,0.001801963,0.00001228081,0.00001523835,0.00001868504,0.000009601709,0.9820213,0.01072558,0.00478567,0.0005299456,0.0000260344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4291429,0.0006969523,0.5555463,0.0009851952,0.0002095676,0.0000576759,0.0005854013,0.002369273,0.01040679],"genre_scores_gemma":[0.9492078,0.00009298413,0.04891157,0.00009824013,0.00002689688,0.00002601935,0.0003694083,0.0001503773,0.001116601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005857783,"threshold_uncertainty_score":0.01468498,"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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