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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
Aix Marseille Univ, CPPM, CNRS, IN2P3, Marseille, France..
KTH, School of Engineering Sciences (SCI), Physics, Particle and Astroparticle Physics.ORCID iD: 0000-0001-9415-7903
KTH, School of Engineering Sciences (SCI), Physics, Particle and Astroparticle Physics.ORCID iD: 0009-0004-1439-5151
KTH, School of Engineering Sciences (SCI), Physics, Particle and Astroparticle Physics.ORCID iD: 0000-0003-3867-0336
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Number of Authors: 28992023 (English)In: Physical Review D: covering particles, fields, gravitation, and cosmology, ISSN 2470-0010, E-ISSN 2470-0029, Vol. 108, no 5, article id 052009Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
AMER PHYSICAL SOC , 2023. Vol. 108, no 5, article id 052009
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Subatomic Physics
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URN: urn:nbn:se:kth:diva-340744DOI: 10.1103/PhysRevD.108.052009ISI: 001088448300001Scopus ID: 2-s2.0-85175428199OAI: oai:DiVA.org:kth-340744DiVA, id: diva2:1818879
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QC 20231212

Available from: 2023-12-12 Created: 2023-12-12 Last updated: 2023-12-12Bibliographically approved

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Leopold, AlexanderLundberg, OlofLund-Jensen, BengtOhm, ChristianRipellino, GiuliaShaheen, RabiaShope, David R.Strandberg, Jonas

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Leopold, AlexanderLundberg, OlofLund-Jensen, BengtOhm, ChristianRipellino, GiuliaShaheen, RabiaShope, David R.Strandberg, Jonas
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Particle and Astroparticle Physics
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Physical Review D: covering particles, fields, gravitation, and cosmology
Subatomic Physics

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