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

Publication ,  Journal Article
Aad, G; Aakvaag, E; Abbott, B; Abdelhameed, S; Abeling, K; Abicht, NJ; Abidi, SH; Aboelela, M; Aboulhorma, A; Abramowicz, H; Abulaiti, Y ...
Published in: Physical Review D
October 22, 2025

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 of proton-proton collisions at 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.

Duke Scholars

Published In

Physical Review D

DOI

EISSN

2470-0029

ISSN

2470-0010

Publication Date

October 22, 2025

Volume

112

Issue

7

Publisher

American Physical Society (APS)
 

Citation

APA
Chicago
ICMJE
MLA
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Aad, G., Aakvaag, E., Abbott, B., Abdelhameed, S., Abeling, K., Abicht, N. J., … Colangeli, L. S. (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). https://doi.org/10.1103/2yq5-vj59
Aad, G., E. Aakvaag, B. Abbott, S. Abdelhameed, K. Abeling, N. J. Abicht, S. H. Abidi, et al. “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, no. 7 (October 22, 2025). https://doi.org/10.1103/2yq5-vj59.
Aad G, Aakvaag E, Abbott B, Abdelhameed S, Abeling K, Abicht NJ, et al. 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. 2025 Oct 22;112(7).
Aad, G., et al. “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, vol. 112, no. 7, American Physical Society (APS), Oct. 2025. Crossref, doi:10.1103/2yq5-vj59.
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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. American Physical Society (APS); 2025 Oct 22;112(7).

Published In

Physical Review D

DOI

EISSN

2470-0029

ISSN

2470-0010

Publication Date

October 22, 2025

Volume

112

Issue

7

Publisher

American Physical Society (APS)