Anomaly detection from mass unspecific jet tagging

TL;DR

This paper presents a new anomaly detection method in particle physics using jet tagging and sample comparison, significantly improving signal detection in boosted jet events.

Contribution

The paper introduces a novel anomaly search technique combining jet tagging with sample comparison, enhancing detection sensitivity for new physics signals.

Findings

Signal significance increases up to 40 times.

Method outperforms existing anomaly detection techniques.

Effective in boosted jet final states.

Abstract

We introduce a novel anomaly search method based on (i) jet tagging to select interesting events, which are less likely to be produced by background processes; (ii) comparison of the untagged and tagged samples to single out features (such as bumps produced by the decay of new particles) in the latter. We demonstrate the usefulness of this method by applying it to a final state with two massive boosted jets: for the new physics benchmarks considered, the signal significance increases an order of magnitude, up to a factor of 40. We compare to other anomaly detection methods in the literature and discuss possible generalisations.