{"id":"W4396945250","doi":"10.3204/pubdb-2024-07074","title":"A search for an eV-scale sterile neutrino using improved high-energy $ν_μ$ event reconstruction in IceCube","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Experimental Program to Stimulate Competitive Research; Japan Society for the Promotion of Science; Deutsches Elektronen-Synchrotron; Natural Sciences and Engineering Research Council of Canada; Office of Polar Programs; College of Engineering, Michigan State University; Helmholtz Alliance for Astroparticle Physics; Alliance de recherche numérique du Canada; Chiba University; Institute for Global Prominent Research, Chiba University; RWTH Aachen University; Knut och Alice Wallenbergs Stiftelse; Villum Fonden; National Research Foundation of Korea; Marsden Fund; Bundesministerium für Bildung und Forschung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation; Belgian Federal Science Policy Office; Deutsche Forschungsgemeinschaft; Fonds De La Recherche Scientifique - FNRS; University of Texas at Arlington; Harvard University; Polarforskningssekretariatet; U.S. Department of Energy; University of Wisconsin-Madison; Vetenskapsrådet; Marquette University; Western Canada Research Grid; Office of Advanced Cyberinfrastructure; Massachusetts Institute of Technology; European Commission; National Research Foundation; Michigan State University; Fonds Wetenschappelijk Onderzoek; Nvidia","keywords":"Physics; Event (particle physics); Scale (ratio); Neutrino; Event reconstruction; Particle physics; Energy (signal processing); Sterile neutrino; High energy; Neutrino detector; Nuclear physics; Astrophysics; Astronomy; Neutrino oscillation; Detector; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001521574,0.0002255466,0.0002502011,0.0002209053,0.0000983856,0.0000745587,0.0002410218,0.0001211042,0.00007300737],"category_scores_gemma":[7.151626e-7,0.0002690941,0.0001299274,0.0002918336,0.0000432829,0.0002018269,0.0002953763,0.0003333523,0.000009586483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001941782,"about_ca_system_score_gemma":0.0002237593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002675025,"about_ca_topic_score_gemma":0.0002420302,"domain_scores_codex":[0.9987184,0.0000555086,0.0002103882,0.000628541,0.00004426608,0.0003428739],"domain_scores_gemma":[0.9993783,0.00003487614,0.00009721534,0.0003134718,0.00007061815,0.0001054693],"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":[0.001940251,0.0008424003,0.3522941,0.001067921,0.000878219,0.00004905332,0.002352699,0.4101731,0.04646242,0.09327506,0.00006678281,0.09059801],"study_design_scores_gemma":[0.0009852748,0.00009019414,0.003744901,0.0001864067,0.00009071948,0.000001117986,0.0003599117,0.9435892,0.02792777,0.0223959,0.0000995785,0.000529036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664401,0.00001382911,0.03209997,0.000008274939,0.0006775334,0.0002892397,0.0001149252,0.00004426456,0.000311813],"genre_scores_gemma":[0.9988157,0.000009521093,0.0004714972,0.000005413037,0.0002507406,0.00000700907,0.00008404474,0.00002626651,0.0003297752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5334161,"threshold_uncertainty_score":0.9999761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06152233062711058,"score_gpt":0.2181243233288398,"score_spread":0.1566019927017292,"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."}}