{"id":"W4388748169","doi":"10.3204/pubdb-2023-07196","title":"Simultaneous energy and mass calibration of large-radius jets with the ATLAS detector using a deep neural network","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CHIST-ERA; H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Ministry of Education, Culture, Sports, Science and Technology; Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Science and Technology Facilities Council; Vetenskapsrådet; Horizon 2020 Framework Programme; Narodowa Agencja Wymiany Akademickiej; Banco Bilbao Vizcaya Argentaria; European Regional Development Fund; British Columbia Knowledge Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; Knut och Alice Wallenbergs Stiftelse; Israel Science Foundation; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat de Catalunya; Generalitat Valenciana; Agencia Nacional de Investigación y Desarrollo; Istituto Nazionale di Fisica Nucleare; Austrian Science Fund; Ministerstvo Školství, Mládeže a Tělovýchovy; U.S. Department of Energy; National Natural Science Foundation of China; 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; European Social Fund; Centre National pour la Recherche Scientifique et Technique; Royal Society; National Science Foundation; Norges Forskningsråd; Fundación BBVA; Compute Canada; Baden-Württemberg Stiftung; Alexander von Humboldt-Stiftung; TRIUMF; Danmarks Grundforskningsfond; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Canarie; CERN; Centres de Recerca de Catalunya; Ministerio de Ciencia e Innovación","keywords":"Large Hadron Collider; Detector; Calibration; Atlas (anatomy); Artificial neural network; Physics; Residual; Energy (signal processing); RADIUS; Artificial intelligence; Computer science; Particle physics; Computational physics; Algorithm; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001920563,0.001185527,0.0006244063,0.001181472,0.0004284107,0.001225673,0.001595112,0.001172379,0.001740588],"category_scores_gemma":[0.003878536,0.0005449883,0.0005004286,0.001321175,0.0004835881,0.001669622,0.0021385,0.001575706,0.0008447596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007926,"about_ca_system_score_gemma":0.0006664066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002103415,"about_ca_topic_score_gemma":0.003520938,"domain_scores_codex":[0.9993227,0.0001342976,0.00002818385,0.0002213063,0.0002331481,0.00006042573],"domain_scores_gemma":[0.9991826,0.0002334758,0.0001822183,0.000143104,0.0002025846,0.00005591872],"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":[0.00147959,0.0002666471,0.03589357,0.0003263974,0.0004776671,0.0005268494,0.000173631,0.4493276,0.1014125,0.01020909,0.007681866,0.3922246],"study_design_scores_gemma":[0.00002630805,0.00004060763,0.004731657,0.00002381333,0.00002696212,0.00009210634,0.00002050051,0.9657737,0.02168918,0.005291288,0.002246624,0.00003728776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1678185,0.0009689903,0.8156034,0.000534021,0.0002811724,0.00007258416,0.0009790587,0.005365968,0.008376217],"genre_scores_gemma":[0.8303474,0.0002578954,0.1641135,0.0003486533,0.00006791337,0.0000663699,0.001662782,0.0005065392,0.0026288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002103415,"threshold_uncertainty_score":0.01015705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0316306077922392,"score_gpt":0.1939325952346877,"score_spread":0.1623019874424485,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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