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Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at √s = 13 TeV with the ATLAS Detector
CPPM, Aix-Marseille Université, 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: 29262024 (English)In: Physical Review Letters, ISSN 0031-9007, E-ISSN 1079-7114, Vol. 132, no 8, article id 081801Article in journal (Refereed) Published
Abstract [en]

Searches for new resonances are performed using an unsupervised anomaly-detection technique. Events with at least one electron or muon are selected from 140 fb−1 of pp collisions at √s ¼ 13 TeV recorded by ATLAS at the Large Hadron Collider. The approach involves training an autoencoder on data, and subsequently defining anomalous regions based on the reconstruction loss of the decoder. Studies focus on nine invariant mass spectra that contain pairs of objects consisting of one light jet or b jet and either one lepton (e; μ), photon, or second light jet or b jet in the anomalous regions. No significant deviations from the background hypotheses are observed. Limits on contributions from generic Gaussian signals with various widths of the resonance mass are obtained for nine invariant masses in the anomalous regions.

Place, publisher, year, edition, pages
American Physical Society (APS) , 2024. Vol. 132, no 8, article id 081801
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Subatomic Physics
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URN: urn:nbn:se:kth:diva-344327DOI: 10.1103/PhysRevLett.132.081801ISI: 001190886300010PubMedID: 38457710Scopus ID: 2-s2.0-85186742137OAI: oai:DiVA.org:kth-344327DiVA, id: diva2:1844330
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QC 20240314

Available from: 2024-03-13 Created: 2024-03-13 Last updated: 2024-08-28Bibliographically 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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