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Anomaly Awareness

by Charanjit K. Khosa and Veronica Sanz

Submission summary

As Contributors: Charanjit Kaur Khosa
Preprint link: scipost_202110_00001v1
Date submitted: 2021-10-04 12:36
Submitted by: Khosa, Charanjit Kaur
Submitted to: SciPost Physics
Academic field: Physics
Specialties:
  • High-Energy Physics - Phenomenology
Approach: Phenomenological

Abstract

We present a new Machine Learning algorithm called Anomaly Awareness. By making our algorithm aware of the presence of a range of different anomalies, we improve its capability to detect anomalous events, even those it had not been exposed to. As an example of use, we apply this method to searches for new phenomena in the Large Hadron Collider. In particular, we analyze events with boosted jets where new physics could be hiding.

Current status:
Editor-in-charge assigned


Submission & Refereeing History

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Submission scipost_202110_00001v1 on 4 October 2021

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