{"id":"W4400718912","doi":"10.3204/pubdb-2024-05560","title":"Using pile-up collisions as an abundant source of low-energy hadronic physics processes in ATLAS and an extraction of the jet energy resolution","year":2024,"lang":"en","type":"preprint","venue":"Lancaster EPrints (Lancaster 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 Estatal de Investigación; Agencia Nacional de Promoción Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Japan Society for the Promotion of Science; Narodowa Agencja Wymiany Akademickiej; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Ministerstvo Školství, Mládeže a Tělovýchovy; National Science and Technology Council; European Social Fund; Royal Society; Centre National pour la Recherche Scientifique et Technique; European Regional Development Fund; British Columbia Knowledge Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; Knut och Alice Wallenbergs Stiftelse; U.S. Department of Energy; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Israel Science Foundation; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat de Catalunya; Generalitat Valenciana; Agencia Nacional de Investigación y Desarrollo; UK Research and Innovation; Istituto Nazionale di Fisica Nucleare; Ministero dell'Università e della Ricerca; Grantová Agentura České Republiky; Austrian Science Fund; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology; Bundesministerium für Bildung und Forschung; Horizon 2020 Framework Programme; Vetenskapsrådet; 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; 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; Agence Nationale de la Recherche; National Science Foundation; Baden-Württemberg Stiftung; H2020 European Research Council; Norges Forskningsråd; 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":"Physics; Atlas (anatomy); Large Hadron Collider; Hadron; Nuclear physics; ATLAS experiment; Particle physics; Collision; Jet (fluid); Vertex (graph theory); Luminosity; Astrophysics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006616223,0.0002729648,0.0004020644,0.00009726873,0.0001063962,0.00004460538,0.0002893115,0.00008984473,0.00003805656],"category_scores_gemma":[0.000002464225,0.0002305399,0.0001086659,0.0003517995,0.0002829395,0.0002066585,0.001235073,0.0002757986,0.000004255539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000822412,"about_ca_system_score_gemma":0.0001153586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002199261,"about_ca_topic_score_gemma":0.000146968,"domain_scores_codex":[0.9986452,0.0001451883,0.0002726124,0.0004884178,0.00019042,0.0002581227],"domain_scores_gemma":[0.9991289,0.00004327934,0.0002399296,0.0004070225,0.00009512916,0.00008577798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001506826,0.003277268,0.299155,0.001629216,0.0009722058,0.00003451116,0.01353373,0.002830158,0.07835855,0.58629,0.00002715325,0.01238537],"study_design_scores_gemma":[0.003678125,0.0005762786,0.04489594,0.00481765,0.0008167793,0.00001673371,0.01431714,0.09114685,0.5551299,0.2792952,0.003248452,0.002060932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909579,0.00008232446,0.005366039,0.00002546232,0.0001841774,0.0001256616,0.0000641376,0.00001299742,0.00318131],"genre_scores_gemma":[0.9992199,0.00001997125,0.0001077037,0.000008611154,0.0001565721,0.000003490803,0.00002411852,0.00002455563,0.0004350704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4767713,"threshold_uncertainty_score":0.9401144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535433675005267,"score_gpt":0.2729752502799798,"score_spread":0.2476209135299272,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}