Anomaly Awareness
- URL: http://arxiv.org/abs/2007.14462v3
- Date: Fri, 7 Oct 2022 12:34:01 GMT
- Title: Anomaly Awareness
- Authors: Charanjit K. Khosa and Veronica Sanz
- Abstract summary: 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.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- 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.
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