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Электронный каталог: Aad, G. - Anomaly Detection Search for New Resonances Decaying into a Higgs Boson and a Generic New Particl...
Aad, G. - Anomaly Detection Search for New Resonances Decaying into a Higgs Boson and a Generic New Particl...
Статья
Автор: Aad, G.
Physical Review D [Electronic resource]: Anomaly Detection Search for New Resonances Decaying into a Higgs Boson and a Generic New Particl...
б.г.
ISBN отсутствует
Автор: Aad, G.
Physical Review D [Electronic resource]: Anomaly Detection Search for New Resonances Decaying into a Higgs Boson and a Generic New Particl...
б.г.
ISBN отсутствует
Статья
Aad, G.
Anomaly Detection Search for New Resonances Decaying into a Higgs Boson and a Generic New Particle X in Hadronic Final States Using *%s=13 TeV pp Collisions with the ATLAS Detector / G.Aad, F.Ahmadov, I.N.Aleksandrov, V.A.Bednyakov, I.R.Boyko, I.A.Budagov, G.A.Chelkov, A.Cheplakov, M.V.Chizhov, D.V.Dedovich, M.Demichev, A.Gongadze, M.I.Gostkin, S.N.Karpov, Z.M.Karpova, U.Kruchonak, V.Kukhtin, E.Ladygin, V.Lyubushkin, T.Lyubushkina, S.Malyukov, M.Mineev, E.Plotnikova, I.N.Potrap, N.A.Rusakovich, M.Shiyakova, A.Soloshenko, S.Turchikhin, T.Turtuvshin, I.Yeletskikh, A.Zhemchugov, N.I.Zimine, N.Huseynov, Y.Kulchitsky, [ATLAS Collab.] // Physical Review D [Electronic resource]. – 2023. – Vol.108, No.5. – P.052009. – URL: https://doi.org/10.1103/PhysRevD.108.052009. – Bibliogr.:73.
A search is presented for a heavy resonance Y decaying into a Standard Model Higgs boson H and a new particle X in a fully hadronic final state. The full Large Hadron Collider run 2 dataset of proton-proton collisions at √s=13 TeV collected by the ATLAS detector from 2015 to 2018 is used and corresponds to an integrated luminosity of 139 fb−1. The search targets the high Y-mass region, where the H and X have a significant Lorentz boost in the laboratory frame. A novel application of anomaly detection is used to define a general signal region, where events are selected solely because of their incompatibility with a learned background-only model. It is constructed using a jet-level tagger for signal-model-independent selection of the boosted X particle, representing the first application of fully unsupervised machine learning to an ATLAS analysis. Two additional signal regions are implemented to target a benchmark X decay into two quarks, covering topologies where the X is reconstructed as either a single large-radius jet or two small-radius jets. The analysis selects Higgs boson decays into b¯b, and a dedicated neural-network-based tagger provides sensitivity to the boosted heavy-flavor topology. No significant excess of data over the expected background is observed, and the results are presented as upper limits on the production cross section σ(pp→Y→XH→q¯qb¯b) for signals with mY between 1.5 and 6 TeV and mX between 65 and 3000 GeV.
ОИЯИ = ОИЯИ (JINR)2023
Спец.(статьи,препринты) = С 346.2в - Взаимодействие протонов с протонами
Спец.(статьи,препринты) = С 346.6е2 - Промежуточные бозоны
Aad, G.
Anomaly Detection Search for New Resonances Decaying into a Higgs Boson and a Generic New Particle X in Hadronic Final States Using *%s=13 TeV pp Collisions with the ATLAS Detector / G.Aad, F.Ahmadov, I.N.Aleksandrov, V.A.Bednyakov, I.R.Boyko, I.A.Budagov, G.A.Chelkov, A.Cheplakov, M.V.Chizhov, D.V.Dedovich, M.Demichev, A.Gongadze, M.I.Gostkin, S.N.Karpov, Z.M.Karpova, U.Kruchonak, V.Kukhtin, E.Ladygin, V.Lyubushkin, T.Lyubushkina, S.Malyukov, M.Mineev, E.Plotnikova, I.N.Potrap, N.A.Rusakovich, M.Shiyakova, A.Soloshenko, S.Turchikhin, T.Turtuvshin, I.Yeletskikh, A.Zhemchugov, N.I.Zimine, N.Huseynov, Y.Kulchitsky, [ATLAS Collab.] // Physical Review D [Electronic resource]. – 2023. – Vol.108, No.5. – P.052009. – URL: https://doi.org/10.1103/PhysRevD.108.052009. – Bibliogr.:73.
A search is presented for a heavy resonance Y decaying into a Standard Model Higgs boson H and a new particle X in a fully hadronic final state. The full Large Hadron Collider run 2 dataset of proton-proton collisions at √s=13 TeV collected by the ATLAS detector from 2015 to 2018 is used and corresponds to an integrated luminosity of 139 fb−1. The search targets the high Y-mass region, where the H and X have a significant Lorentz boost in the laboratory frame. A novel application of anomaly detection is used to define a general signal region, where events are selected solely because of their incompatibility with a learned background-only model. It is constructed using a jet-level tagger for signal-model-independent selection of the boosted X particle, representing the first application of fully unsupervised machine learning to an ATLAS analysis. Two additional signal regions are implemented to target a benchmark X decay into two quarks, covering topologies where the X is reconstructed as either a single large-radius jet or two small-radius jets. The analysis selects Higgs boson decays into b¯b, and a dedicated neural-network-based tagger provides sensitivity to the boosted heavy-flavor topology. No significant excess of data over the expected background is observed, and the results are presented as upper limits on the production cross section σ(pp→Y→XH→q¯qb¯b) for signals with mY between 1.5 and 6 TeV and mX between 65 and 3000 GeV.
ОИЯИ = ОИЯИ (JINR)2023
Спец.(статьи,препринты) = С 346.2в - Взаимодействие протонов с протонами
Спец.(статьи,препринты) = С 346.6е2 - Промежуточные бозоны