Accurate and robust methods for direct background estimation in resonant anomaly detection
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866912099594141696 |
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| author | Das, Ranit Finke, Thorben Hein, Marie Kasieczka, Gregor Krämer, Michael Mück, Alexander Shih, David |
| author_facet | Das, Ranit Finke, Thorben Hein, Marie Kasieczka, Gregor Krämer, Michael Mück, Alexander Shih, David |
| contents | Resonant anomaly detection methods have great potential for enhancing the sensitivity of traditional bump hunt searches. A key component of these methods is a high quality background template used to produce an anomaly score. Using the LHC Olympics R&D dataset, we demonstrate that this background template can also be repurposed to directly estimate the background expectation in a simple cut and count setup. In contrast to a traditional bump hunt, no fit to the invariant mass distribution is needed, thereby avoiding the potential problem of background sculpting. Furthermore, direct background estimation allows working with large background rejection rates, where resonant anomaly detection methods typically show their greatest improvement in significance. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2411_00085 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Accurate and robust methods for direct background estimation in resonant anomaly detection Das, Ranit Finke, Thorben Hein, Marie Kasieczka, Gregor Krämer, Michael Mück, Alexander Shih, David High Energy Physics - Phenomenology High Energy Physics - Experiment Data Analysis, Statistics and Probability Resonant anomaly detection methods have great potential for enhancing the sensitivity of traditional bump hunt searches. A key component of these methods is a high quality background template used to produce an anomaly score. Using the LHC Olympics R&D dataset, we demonstrate that this background template can also be repurposed to directly estimate the background expectation in a simple cut and count setup. In contrast to a traditional bump hunt, no fit to the invariant mass distribution is needed, thereby avoiding the potential problem of background sculpting. Furthermore, direct background estimation allows working with large background rejection rates, where resonant anomaly detection methods typically show their greatest improvement in significance. |
| title | Accurate and robust methods for direct background estimation in resonant anomaly detection |
| topic | High Energy Physics - Phenomenology High Energy Physics - Experiment Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2411.00085 |