Search for new physics in final states with semivisible jets or anomalous signatures using the ATLAS detector

A search is presented for hadronic signatures of beyond the Standard Model (BSM) physics, with an emphasis on signatures of a strongly coupled hidden dark sector accessed via resonant production of a Z′ mediator. The ATLAS experiment dataset collected at the Large Hadron Collider from 2015 to 2018 is used, consisting of proton-proton collisions at $\sqrt{s}$ = 13 TeV and corresponding to an integrated luminosity of 140 fb$^{-1}$. The Z′ mediator is considered to decay to two dark quarks, which each hadronize and decay to showers containing both dark and Standard Model particles, producing a topology of interacting and noninteracting particles within a jet known as “semivisible.” Machine learning methods are used to select these dark showers and reject the dominant background of mismeasured multijet events, including an anomaly detection approach to preserve broad sensitivity to a variety of BSM topologies. A resonance search is performed by fitting the transverse mass spectrum based on a functional form background estimation. No significant excess over the expected background is observed. Results are presented as limits on the production cross section of semivisible jet signals, parametrized by the fraction of invisible particles in the decay and the Z′ mass, and by quantifying the significance of any generic Gaussian-shaped mass peak in the anomaly region.

Publication Details

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CU Research Publications Repository
Published
2025-01-01
Primary Topic
Geochemistry and Geologic Mapping
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article
Field-Weighted Citation Impact
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article

Search for new physics in final states with semivisible jets or anomalous signatures using the ATLAS detector

CU Research Publications Repository
Geochemistry and Geologic Mapping
article

Search for new physics in final states with semivisible jets or anomalous signatures using the ATLAS detector

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Abstract

A search is presented for hadronic signatures of beyond the Standard Model (BSM) physics, with an emphasis on signatures of a strongly coupled hidden dark sector accessed via resonant production of a Z′ mediator. The ATLAS experiment dataset collected at the Large Hadron Collider from 2015 to 2018 is used, consisting of proton-proton collisions at $\sqrt{s}$ = 13 TeV and corresponding to an integrated luminosity of 140 fb$^{-1}$. The Z′ mediator is considered to decay to two dark quarks, which each hadronize and decay to showers containing both dark and Standard Model particles, producing a topology of interacting and noninteracting particles within a jet known as “semivisible.” Machine learning methods are used to select these dark showers and reject the dominant background of mismeasured multijet events, including an anomaly detection approach to preserve broad sensitivity to a variety of BSM topologies. A resonance search is performed by fitting the transverse mass spectrum based on a functional form background estimation. No significant excess over the expected background is observed. Results are presented as limits on the production cross section of semivisible jet signals, parametrized by the fraction of invisible particles in the decay and the Z′ mass, and by quantifying the significance of any generic Gaussian-shaped mass peak in the anomaly region.

CU Research Publications Repository
National Science Foundation, U.S. Department of Energy, Alexander von Humboldt-Stiftung, Canarie, Baden-Württemberg Stiftung, TRIUMF, CERN, UK Research and Innovation, Centres de Recerca de Catalunya, Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu, Leverhulme Trust, Royal Society, European Commission, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, Ministry of Education, Culture, Sports, Science and Technology, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Danmarks Grundforskningsfond, Fundação de Amparo à Pesquisa do Estado de São Paulo, National Natural Science Foundation of China, Ministerstvo Školství, Mládeže a Tělovýchovy, Grantová Agentura České Republiky, Bundesministerium für Bildung und Forschung, Austrian Science Fund, Carl Tryggers Stiftelse för Vetenskaplig Forskning, Generalitat de Catalunya, Ministry of Science and Technology of the People's Republic of China, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Generalitat Valenciana, Bundesministerium für Wissenschaft, Forschung und Wirtschaft, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Knut och Alice Wallenbergs Stiftelse, Max-Planck-Gesellschaft, Vetenskapsrådet, Ministerstwo Edukacji i Nauki, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Centre National de la Recherche Scientifique, Ministerio de Ciencia e Innovación, Norges Forskningsråd, Centre National pour la Recherche Scientifique et Technique, Forskningsrådet om Hälsa, Arbetsliv och Välfärd, Istituto Nazionale di Fisica Nucleare, Narodowa Agencja Wymiany Akademickiej, Agencia Nacional de Investigación y Desarrollo, National Science and Technology Council, Horizon 2020 Framework Programme, Natural Sciences and Engineering Research Council of Canada, Science and Technology Facilities Council, Japan Society for the Promotion of Science, Fundação para a Ciência e a Tecnologia, Agencia Nacional de Promoción Científica y Tecnológica, British Columbia Knowledge Development Fund, European Regional Development Fund, Agencia Estatal de Investigación, Institut National de Physique Nucléaire et de Physique des Particules, European Social Fund, H2020 European Research Council, H2020 Marie Skłodowska-Curie Actions, CHIST-ERA
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Geochemistry and Geologic Mapping
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