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

G. Aad, Christina Dimitriadi, Alexander Leopold, Olof Lundberg, Bengt Lund-Jensen, Christian Ohm, Rabia Shaheen, Jonas Strandberg, Magdalena Vande Voorde, L. Zwalinski, …
Physical review. D, 卷.112(7), 072009
22/10/2025
Web of Science ID: WOS:001644477700001

摘要

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.

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https://doi.org/10.1103/2yq5-vj59檢視
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引用書目主題
5 Physics
5.9 Particles & Fields
5.9.19 Beyond Standard Model
Web Of Science研究領域
Astronomy & Astrophysics
Physics, Particles & Fields
ESI研究領域
Physics

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