Combining Resonant and Tail-based Anomaly Detection
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2023
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| _version_ | 1866929361255399424 |
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| author | Bickendorf, Gerrit Drees, Manuel Kasieczka, Gregor Krause, Claudius Shih, David |
| author_facet | Bickendorf, Gerrit Drees, Manuel Kasieczka, Gregor Krause, Claudius Shih, David |
| contents | In many well-motivated models of the electroweak scale, cascade decays of new particles can result in highly boosted hadronic resonances (e.g. $Z/W/h$). This can make these models rich and promising targets for recently developed resonant anomaly detection methods powered by modern machine learning. We demonstrate this using the state-of-the-art CATHODE method applied to supersymmetry scenarios with gluino pair production. We show that CATHODE, despite being model-agnostic, is nevertheless competitive with dedicated cut-based searches, while simultaneously covering a much wider region of parameter space. The gluino events also populate the tails of the missing energy and $H_T$ distributions, making this a novel combination of resonant and tail-based anomaly detection. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_12918 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Combining Resonant and Tail-based Anomaly Detection Bickendorf, Gerrit Drees, Manuel Kasieczka, Gregor Krause, Claudius Shih, David High Energy Physics - Phenomenology High Energy Physics - Experiment In many well-motivated models of the electroweak scale, cascade decays of new particles can result in highly boosted hadronic resonances (e.g. $Z/W/h$). This can make these models rich and promising targets for recently developed resonant anomaly detection methods powered by modern machine learning. We demonstrate this using the state-of-the-art CATHODE method applied to supersymmetry scenarios with gluino pair production. We show that CATHODE, despite being model-agnostic, is nevertheless competitive with dedicated cut-based searches, while simultaneously covering a much wider region of parameter space. The gluino events also populate the tails of the missing energy and $H_T$ distributions, making this a novel combination of resonant and tail-based anomaly detection. |
| title | Combining Resonant and Tail-based Anomaly Detection |
| topic | High Energy Physics - Phenomenology High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2309.12918 |