{"id":"W3036303057","doi":"10.1088/1748-0221/15/11/p11016","title":"Performance of the upgraded PreProcessor of the ATLAS Level-1 Calorimeter Trigger","year":2020,"lang":"en","type":"article","venue":"Journal of Instrumentation","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":16,"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; University of Victoria; McGill University; University of Toronto","funders":"H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; European Regional Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; British Columbia Knowledge Development Fund; Fundação para a Ciência e a Tecnologia; Agencia Nacional de Promoción Científica y Tecnológica; 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; European Social Fund; Royal Society; Centre National pour la Recherche Scientifique et Technique; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; 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; Austrian Science Fund; 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; Agencia Nacional de Investigación y Desarrollo; 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); Canarie; Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond; Ministerio de Ciencia e Innovación","keywords":"Atlas (anatomy); Preprocessor; Calorimeter (particle physics); Large Hadron Collider; Computer hardware; Computer science; Field-programmable gate array; ATLAS experiment; Signal processing; Embedded system; Digital signal processing; Physics; Artificial intelligence; Nuclear physics; Telecommunications; Detector","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":[0.00005572594,0.00005406748,0.0001229439,0.000006373969,0.00005323278,0.000005577972,0.0001466837,0.000007929933,0.00003636931],"category_scores_gemma":[0.000007894743,0.00002700564,0.00012107,0.0001299819,0.0001014478,0.0001153013,0.00005169392,0.00007528347,0.000001776761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001017352,"about_ca_system_score_gemma":0.0000238765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009982476,"about_ca_topic_score_gemma":6.991078e-8,"domain_scores_codex":[0.9993897,0.00002952286,0.0002871653,0.00004415597,0.0001876052,0.00006183257],"domain_scores_gemma":[0.9994659,0.00001908745,0.0003654495,0.00005830744,0.00006747658,0.00002378257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002925872,0.0002004925,0.4058297,0.00004710804,0.0002142592,5.76391e-8,0.004521752,0.0002125719,0.5725405,0.005790097,0.000291136,0.01005973],"study_design_scores_gemma":[0.0004868809,0.0001050365,0.02459707,0.00003240176,0.00003523413,3.301965e-7,0.0005591738,0.0002654613,0.9723815,0.001468125,0.00003832369,0.00003046396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981477,0.00001565773,0.00007228961,0.0009021584,0.0001031927,0.00006764772,0.000006770915,7.830533e-7,0.0006837685],"genre_scores_gemma":[0.9997702,0.000001949752,0.00008142347,0.00003464159,0.00009096213,0.000001716915,3.007546e-7,0.000003208293,0.00001562065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.399841,"threshold_uncertainty_score":0.1101258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799973192184675,"score_gpt":0.2561470882424093,"score_spread":0.2281473563205626,"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."}}