Anomaly Awareness

Khosa, Charanjit Kaur; Sanz, Veronica

doi:10.21468/SciPostPhys.15.2.053

SciPost Physics

Anomaly Awareness

Charanjit K. Khosa, Veronica Sanz

SciPost Phys. 15, 053 (2023) · published 8 August 2023

doi: 10.21468/SciPostPhys.15.2.053
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Abstract

We present a new algorithm for anomaly detection called Anomaly Awareness. The algorithm learns about normal events while being made aware of the anomalies through a modification of the cost function. We show how this method works in different Particle Physics situations and in standard Computer Vision tasks. For example, we apply the method to images from a Fat Jet topology generated by Standard Model Top and QCD events, and test it against an array of new physics scenarios, including Higgs production with EFT effects and resonances decaying into two, three or four subjets. We find that the algorithm is effective identifying anomalies not seen before, and becomes robust as we make it aware of a varied-enough set of anomalies.

TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhys.15.2.053
TI  - Anomaly Awareness
PY  - 2023/08/08
UR  - https://scipost.org/SciPostPhys.15.2.053
JF  - SciPost Physics
JA  - SciPost Phys.
VL  - 15
IS  - 2
SP  - 053
A1  - Khosa, Charanjit Kaur
AU  - Sanz, Veronica
AB  - We present a new algorithm for anomaly detection called Anomaly Awareness. The algorithm learns about normal events while being made aware of the anomalies through a modification of the cost function. We show how this method works in different Particle Physics situations and in standard Computer Vision tasks. For example, we apply the method to images from a Fat Jet topology generated by Standard Model Top and QCD events, and test it against an array of new physics scenarios, including Higgs production with EFT effects and resonances decaying into two, three or four subjets. We find that the algorithm is effective identifying anomalies not seen before, and becomes robust as we make it aware of a varied-enough set of anomalies.
ER  -

@Article{10.21468/SciPostPhys.15.2.053,
	title={{Anomaly Awareness}},
	author={Charanjit K. Khosa and Veronica Sanz},
	journal={SciPost Phys.},
	volume={15},
	pages={053},
	year={2023},
	publisher={SciPost},
	doi={10.21468/SciPostPhys.15.2.053},
	url={https://scipost.org/10.21468/SciPostPhys.15.2.053},
}

Cited by 6

Authors / Affiliations: mappings to Contributors and Organizations

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¹ Charanjit Kaur Khosa,
² ³ Veronica Sanz

Funders for the research work leading to this publication

European Commission [EC]
Generalitat Valenciana
Ministerio de Educación y Cultura - Spain (MEC) (through Organization: Ministerio de Educación y Cultura - España / Ministry of Education and Culture - Spain [MEC Spain])
Royal Society
Science and Technology Facilities Council [STFC]