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Article: 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

TitleAnomaly detection search for new resonances decaying into a Higgs boson and a generic new particle X in hadronic final states using √s=13 TeV <i>pp</i> collisions with the ATLAS detector
Authors
Aad, GAbbott, BAbbott, DCAbeling, KAbidi, SHAboulhorma, AAbramowicz, HAbreu, HAbulaiti, YAbusleme, Hoffman ACAcharya, BSAchkar, BAdam, LAdam, Bourdarios CAdamczyk, LAdamek, LAddepalli, SVAdelman, JAdiguzel, AAdorni, SAdye, TAffolder, AAAfik, YAgaras, MNAgarwala, JAggarwal, AAgheorghiesei, CAguilar-Saavedra, JAAhmad, AAhmadov, FAhmed, WSAi, XAielli, GAizenberg, IAkbiyik, MÅkesson, TPAAkimov, AVAl, Khoury KAlberghi, GLAlbert, JAlbicocco, PAlconada, Verzini MJAlderweireldt, SAleksa, MAleksandrov, INAlexa, CAlexopoulos, TAlfonsi, AAlfonsi, FAlhroob, MAli, BAli, SAliev, MAlimonti, GAllaire, CAllbrooke, BMMAllport, PPAloisio, AAlonso, FAlpigiani, CAlunno, Camelia EAlvarez, Estevez MAlviggi, MGAmaral, Coutinho YAmbler, AAmelung, CAmes, CGAmidei, DAmor, Dos Santos SPAmoroso, SAmos, KRAmrouche, CSAnaniev, VAnastopoulos, CAndari, NAndeen, TAnders, JKAndrean, SYAndreazza, AAngelidakis, SAngerami, AAnisenkov, AVAnnovi, AAntel, CAnthony, MTAntipov, EAntonelli, MAntrim, DJAAnulli, FAoki, MAparisi, Pozo JAAparo, MAAperio, Bella LAppelt, CAranzabal, NAraujo, Ferraz VArcangeletti, CArce, ATHArena, EArguin, JFArgyropoulos, SArling, JHArmbruster, AJArnaez, OArnold, HArrubarrena, Tame ZPArtoni, GAsada, HAsai, KAsai, SAsbah, NAAsimakopoulou, EMAssahsah, JAssamagan, KAstalos, RAtkin, RJAtkinson, MAtlay, NBAtmani, HAtmasiddha, PAAugsten, KAuricchio, SAuriol, ADAustrup, VAAvner, GAvolio, GAxiotis, KAyoub, MKAzuelos, GTu, yanjunHuang, ShuhuiParedes Hernandez, Daniela KatherinnePeng, ChenTAM, Kai Chunget al
Issue Date18-Sep-2023
PublisherAmerican Physical Society
Citation
Physical Review D, 2023, v. 108, n. 5, p. 1-33 How to Cite?
Abstract

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 root 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 bb, 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 sigma(pp -> Y -> XH -> qqbb) for signals with m(Y) between 1.5 and 6 TeV and m(X) between 65 and 3000 GeV.


Persistent Identifierhttp://hdl.handle.net/10722/339487
ISSN
2023 Impact Factor: 4.6
2023 SCImago Journal Rankings: 1.587
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAad, G-
dc.contributor.authorAbbott, B-
dc.contributor.authorAbbott, DC-
dc.contributor.authorAbeling, K-
dc.contributor.authorAbidi, SH-
dc.contributor.authorAboulhorma, A-
dc.contributor.authorAbramowicz, H-
dc.contributor.authorAbreu, H-
dc.contributor.authorAbulaiti, Y-
dc.contributor.authorAbusleme, Hoffman AC-
dc.contributor.authorAcharya, BS-
dc.contributor.authorAchkar, B-
dc.contributor.authorAdam, L-
dc.contributor.authorAdam, Bourdarios C-
dc.contributor.authorAdamczyk, L-
dc.contributor.authorAdamek, L-
dc.contributor.authorAddepalli, SV-
dc.contributor.authorAdelman, J-
dc.contributor.authorAdiguzel, A-
dc.contributor.authorAdorni, S-
dc.contributor.authorAdye, T-
dc.contributor.authorAffolder, AA-
dc.contributor.authorAfik, Y-
dc.contributor.authorAgaras, MN-
dc.contributor.authorAgarwala, J-
dc.contributor.authorAggarwal, A-
dc.contributor.authorAgheorghiesei, C-
dc.contributor.authorAguilar-Saavedra, JA-
dc.contributor.authorAhmad, A-
dc.contributor.authorAhmadov, F-
dc.contributor.authorAhmed, WS-
dc.contributor.authorAi, X-
dc.contributor.authorAielli, G-
dc.contributor.authorAizenberg, I-
dc.contributor.authorAkbiyik, M-
dc.contributor.authorÅkesson, TPA-
dc.contributor.authorAkimov, AV-
dc.contributor.authorAl, Khoury K-
dc.contributor.authorAlberghi, GL-
dc.contributor.authorAlbert, J-
dc.contributor.authorAlbicocco, P-
dc.contributor.authorAlconada, Verzini MJ-
dc.contributor.authorAlderweireldt, S-
dc.contributor.authorAleksa, M-
dc.contributor.authorAleksandrov, IN-
dc.contributor.authorAlexa, C-
dc.contributor.authorAlexopoulos, T-
dc.contributor.authorAlfonsi, A-
dc.contributor.authorAlfonsi, F-
dc.contributor.authorAlhroob, M-
dc.contributor.authorAli, B-
dc.contributor.authorAli, S-
dc.contributor.authorAliev, M-
dc.contributor.authorAlimonti, G-
dc.contributor.authorAllaire, C-
dc.contributor.authorAllbrooke, BMM-
dc.contributor.authorAllport, PP-
dc.contributor.authorAloisio, A-
dc.contributor.authorAlonso, F-
dc.contributor.authorAlpigiani, C-
dc.contributor.authorAlunno, Camelia E-
dc.contributor.authorAlvarez, Estevez M-
dc.contributor.authorAlviggi, MG-
dc.contributor.authorAmaral, Coutinho Y-
dc.contributor.authorAmbler, A-
dc.contributor.authorAmelung, C-
dc.contributor.authorAmes, CG-
dc.contributor.authorAmidei, D-
dc.contributor.authorAmor, Dos Santos SP-
dc.contributor.authorAmoroso, S-
dc.contributor.authorAmos, KR-
dc.contributor.authorAmrouche, CS-
dc.contributor.authorAnaniev, V-
dc.contributor.authorAnastopoulos, C-
dc.contributor.authorAndari, N-
dc.contributor.authorAndeen, T-
dc.contributor.authorAnders, JK-
dc.contributor.authorAndrean, SY-
dc.contributor.authorAndreazza, A-
dc.contributor.authorAngelidakis, S-
dc.contributor.authorAngerami, A-
dc.contributor.authorAnisenkov, AV-
dc.contributor.authorAnnovi, A-
dc.contributor.authorAntel, C-
dc.contributor.authorAnthony, MT-
dc.contributor.authorAntipov, E-
dc.contributor.authorAntonelli, M-
dc.contributor.authorAntrim, DJA-
dc.contributor.authorAnulli, F-
dc.contributor.authorAoki, M-
dc.contributor.authorAparisi, Pozo JA-
dc.contributor.authorAparo, MA-
dc.contributor.authorAperio, Bella L-
dc.contributor.authorAppelt, C-
dc.contributor.authorAranzabal, N-
dc.contributor.authorAraujo, Ferraz V-
dc.contributor.authorArcangeletti, C-
dc.contributor.authorArce, ATH-
dc.contributor.authorArena, E-
dc.contributor.authorArguin, JF-
dc.contributor.authorArgyropoulos, S-
dc.contributor.authorArling, JH-
dc.contributor.authorArmbruster, AJ-
dc.contributor.authorArnaez, O-
dc.contributor.authorArnold, H-
dc.contributor.authorArrubarrena, Tame ZP-
dc.contributor.authorArtoni, G-
dc.contributor.authorAsada, H-
dc.contributor.authorAsai, K-
dc.contributor.authorAsai, S-
dc.contributor.authorAsbah, NA-
dc.contributor.authorAsimakopoulou, EM-
dc.contributor.authorAssahsah, J-
dc.contributor.authorAssamagan, K-
dc.contributor.authorAstalos, R-
dc.contributor.authorAtkin, RJ-
dc.contributor.authorAtkinson, M-
dc.contributor.authorAtlay, NB-
dc.contributor.authorAtmani, H-
dc.contributor.authorAtmasiddha, PA-
dc.contributor.authorAugsten, K-
dc.contributor.authorAuricchio, S-
dc.contributor.authorAuriol, AD-
dc.contributor.authorAustrup, VA-
dc.contributor.authorAvner, G-
dc.contributor.authorAvolio, G-
dc.contributor.authorAxiotis, K-
dc.contributor.authorAyoub, MK-
dc.contributor.authorAzuelos, G-
dc.contributor.authorTu, yanjun-
dc.contributor.authorHuang, Shuhui-
dc.contributor.authorParedes Hernandez, Daniela Katherinne-
dc.contributor.authorPeng, Chen-
dc.contributor.authorTAM, Kai Chung-
dc.contributor.authoret al -
dc.date.accessioned2024-03-11T10:37:02Z-
dc.date.available2024-03-11T10:37:02Z-
dc.date.issued2023-09-18-
dc.identifier.citationPhysical Review D, 2023, v. 108, n. 5, p. 1-33-
dc.identifier.issn2470-0010-
dc.identifier.urihttp://hdl.handle.net/10722/339487-
dc.description.abstract<p>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 root 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 bb, 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 sigma(pp -> Y -> XH -> qqbb) for signals with m(Y) between 1.5 and 6 TeV and m(X) between 65 and 3000 GeV.</p>-
dc.languageeng-
dc.publisherAmerican Physical Society-
dc.relation.ispartofPhysical Review D-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleAnomaly detection search for new resonances decaying into a Higgs boson and a generic new particle X in hadronic final states using √s=13 TeV <i>pp</i> collisions with the ATLAS detector-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1103/PhysRevD.108.052009-
dc.identifier.scopuseid_2-s2.0-85175428199-
dc.identifier.volume108-
dc.identifier.issue5-
dc.identifier.spage1-
dc.identifier.epage33-
dc.identifier.eissn2470-0029-
dc.identifier.isiWOS:001088448300001-
dc.publisher.placeCOLLEGE PK-
dc.identifier.issnl2470-0010-

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