Weakly supervised anomaly detection for resonant new physics in the dijet final state using proton-proton collisions at √s=13 TeV with the ATLAS detector



Aad, G, Aakvaag, E, Abbott, B, Abdelhameed, S, Abeling, K, Abicht, NJ, Abidi, SH, Aboelela, M, Aboulhorma, A, Abramowicz, H
et al (show 2834 more authors) (2025) Weakly supervised anomaly detection for resonant new physics in the dijet final state using proton-proton collisions at √s=13 TeV with the ATLAS detector PHYSICAL REVIEW D, 112 (7). 072009-. ISSN 2470-0010, 2470-0029

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Abstract

An anomaly detection search for narrow-width resonances beyond the Standard Model that decay into a pair of jets is presented. The search is based on 139 fb−1 of proton-proton collisions at (Formula presented.) recorded during 2015–2018 with the ATLAS detector at the Large Hadron Collider. The analysis is optimized without a particular signal model and aims to be sensitive to a broad range of new physics. It uses two different machine learning strategies to estimate the background in different signal regions. In each region, a weakly supervised classifier is trained to distinguish this background model from data. The analysis focuses on events with high transverse momentum jets reconstructed as large-radius jets. The mass and substructure of these jets are used as inputs to the classifiers. After a classifier-based selection, the distribution of the invariant mass of the two jets is used to search for potential local excesses. The model-independent results of both the anomaly detection methods show no signs of significant local excesses. In addition to model-independent results, a representative set of signal models is injected into the data, and the sensitivity of the methods to these scenarios is reported.

Item Type: Article
Uncontrolled Keywords: 5106 Nuclear and Plasma Physics, 5107 Particle and High Energy Physics, 51 Physical Sciences
Divisions: Faculty of Science & Engineering
Faculty of Science & Engineering > School of Physical Sciences
Faculty of Science & Engineering > School of Physical Sciences > Physics
Depositing User: Symplectic Admin
Date Deposited: 01 Dec 2025 08:54
Last Modified: 23 May 2026 10:39
DOI: 10.1103/2yq5-vj59
Open Access URL: https://journals.aps.org/prd/abstract/10.1103/2yq5...
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URI: https://livrepository.liverpool.ac.uk/id/eprint/3195742
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