Anomaly Awareness
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 Vis...
| Main Author: | |
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| Format: | Article |
| Language: | English |
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SciPost
2023-08-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.15.2.053 |
| _version_ | 1797751302197870592 |
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| author | Charanjit K. Khosa, Veronica Sanz |
| author_facet | Charanjit K. Khosa, Veronica Sanz |
| author_sort | Charanjit K. Khosa, Veronica Sanz |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T16:47:29Z |
| format | Article |
| id | doaj.art-53f92f5bf0d64fbc8caa060266494139 |
| institution | Directory Open Access Journal |
| issn | 2542-4653 |
| language | English |
| last_indexed | 2024-03-12T16:47:29Z |
| publishDate | 2023-08-01 |
| publisher | SciPost |
| record_format | Article |
| series | SciPost Physics |
| spelling | doaj.art-53f92f5bf0d64fbc8caa0602664941392023-08-08T12:01:16ZengSciPostSciPost Physics2542-46532023-08-0115205310.21468/SciPostPhys.15.2.053Anomaly AwarenessCharanjit K. Khosa, Veronica SanzWe 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.https://scipost.org/SciPostPhys.15.2.053 |
| spellingShingle | Charanjit K. Khosa, Veronica Sanz Anomaly Awareness SciPost Physics |
| title | Anomaly Awareness |
| title_full | Anomaly Awareness |
| title_fullStr | Anomaly Awareness |
| title_full_unstemmed | Anomaly Awareness |
| title_short | Anomaly Awareness |
| title_sort | anomaly awareness |
| url | https://scipost.org/SciPostPhys.15.2.053 |
| work_keys_str_mv | AT charanjitkkhosaveronicasanz anomalyawareness |