{"id":"W7073933787","doi":"","title":"Reconstruction and identification of pairs of collimated $\\\\tau$-leptons decaying hadronically using $\\\\sqrt{s}=13$ TeV $pp$ collision data with the ATLAS detector","year":2024,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; H2020 European Research Council; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Estatal de Investigación; 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; Agencia Nacional de Promoción Científica y Tecnológica; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Science and Technology Facilities Council; Horizon 2020 Framework Programme; 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; British Columbia Knowledge Development Fund; Max-Planck-Gesellschaft; European Regional Development Fund; Centre National de la Recherche Scientifique; U.S. Department of Energy; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Israel Science Foundation; Japan Society for the Promotion of Science; 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; Grantová Agentura České Republiky; Austrian Science Fund; National Natural Science Foundation of China; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Science and Technology of the People's Republic of China; Agence Nationale de la Recherche; UK Research and Innovation; National Science Foundation; Alexander von Humboldt-Stiftung; TRIUMF; Danmarks Grundforskningsfond; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Canarie; Centres de Recerca de Catalunya; CERN","keywords":"Collision; Large Hadron Collider; Atlas (anatomy); Luminosity; Detector; Collimated light; Identification (biology); Reconstruction algorithm; Hadron","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":[0.0006608841,0.0005873403,0.0003924396,0.0008459142,0.000399994,0.0009456902,0.0006626096,0.0004071289,0.002212076],"category_scores_gemma":[0.001215125,0.0003689494,0.0005062883,0.001082878,0.0002807635,0.0006397802,0.0009096799,0.0003960376,0.0008881345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005520812,"about_ca_system_score_gemma":0.0008712984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270446,"about_ca_topic_score_gemma":0.005300228,"domain_scores_codex":[0.9996244,0.00006364416,0.00001886786,0.00007387798,0.0001704695,0.00004874232],"domain_scores_gemma":[0.999684,0.00008996986,0.00004896898,0.00006492312,0.0000882016,0.0000240263],"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":[0.003762541,0.0004317238,0.1355788,0.0003261955,0.0004626473,0.001769548,0.0004734491,0.2355072,0.2141091,0.02854102,0.006401415,0.3726364],"study_design_scores_gemma":[0.0001308096,0.0002326827,0.02333511,0.00001785494,0.00008339812,0.0008445878,0.000196053,0.773499,0.1852679,0.008641735,0.007667949,0.00008293652],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4897999,0.0002306512,0.4980483,0.0001195018,0.00004693836,0.0000699589,0.00170737,0.002279144,0.007698152],"genre_scores_gemma":[0.7403396,0.0001225774,0.2511652,0.00004151337,0.0000119541,0.00003433148,0.005192901,0.0003357329,0.00275618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00270446,"threshold_uncertainty_score":0.007400155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03321947347625781,"score_gpt":0.2625658833557908,"score_spread":0.229346409879533,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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