{"id":"W2604487509","doi":"10.1140/epjc/s10052-017-5031-2","title":"Jet reconstruction and performance using particle flow with the ATLAS Detector","year":2017,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":320,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of British Columbia; TRIUMF; Carleton University; Simon Fraser University; University of Alberta; Université de Montréal; Institute of Particle Physics; McGill University; University of Victoria; University of Toronto","funders":"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; 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; Fondation Partager le Savoir; European Social Fund; Royal Society; Centre National pour la Recherche Scientifique et Technique; Shota Rustaveli National Science Foundation; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; European Regional Development Fund; British Columbia Knowledge Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; Israel Science Foundation; Comisión Nacional de Investigación Científica y Tecnológica; 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; Fonds Québécois de la Recherche sur la Nature et les Technologies; Austrian Science Fund; Israeli Centers for Research Excellence; U.S. Department of Energy; Ontario Innovation Trust; 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; 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; Alexander von Humboldt-Stiftung; TRIUMF; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond; Canarie","keywords":"Calorimeter (particle physics); Physics; Large Hadron Collider; Nuclear physics; Atlas (anatomy); Detector; Hadron; Jet (fluid); Charged particle; Atlas detector; ATLAS experiment; Particle (ecology); Particle physics; Optics; Mechanics; Ion","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":[0.003993175,0.0007200742,0.0006223954,0.001343379,0.0007655559,0.00265908,0.001206786,0.0007924244,0.003469284],"category_scores_gemma":[0.005875051,0.0004549159,0.0005845599,0.001479157,0.0004336716,0.00113326,0.001017496,0.0007648753,0.0008441843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177617,"about_ca_system_score_gemma":0.001484385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005595483,"about_ca_topic_score_gemma":0.002794969,"domain_scores_codex":[0.9985655,0.000270521,0.0000984098,0.0002379536,0.0006885814,0.0001389481],"domain_scores_gemma":[0.9980928,0.001085809,0.0001249436,0.0001858072,0.0004255737,0.00008499429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006251644,0.0005521713,0.04384182,0.0003106266,0.0005707029,0.0008142806,0.0006970353,0.4288363,0.05664107,0.01360306,0.008776669,0.4391046],"study_design_scores_gemma":[0.0001741159,0.0002352286,0.006208051,0.00001776709,0.00005992459,0.0002459407,0.00007720719,0.9009907,0.0861847,0.001447647,0.004261774,0.00009694661],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4216288,0.0004643312,0.5352295,0.0003450131,0.0002372698,0.0001849246,0.001299931,0.0306287,0.009981436],"genre_scores_gemma":[0.7383161,0.0001290096,0.2544341,0.000160353,0.00005064963,0.00009620147,0.002492405,0.001748157,0.002573077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005595483,"threshold_uncertainty_score":0.02111816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937959634866486,"score_gpt":0.2491288614098544,"score_spread":0.2297492650611895,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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