Weakly supervised anomaly detection with event-level variables
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915598053670912 |
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| author | Brennan, Liam Vami, Tamas Almos Amram, Oz Sekhar, Sanjana Takahashi, Yuta Moureaux, Louis Sommerhalder, Manuel Maksimovic, Petar Cai, Tianji Craig, Nathaniel |
| author_facet | Brennan, Liam Vami, Tamas Almos Amram, Oz Sekhar, Sanjana Takahashi, Yuta Moureaux, Louis Sommerhalder, Manuel Maksimovic, Petar Cai, Tianji Craig, Nathaniel |
| contents | We introduce a new topology for weakly supervised anomaly detection searches, di-object plus~X. In this topology, one looks for a resonance decaying to two standard model particles produced in association with other anomalous event activity (X). This additional activity is used for classification. We demonstrate how anomaly detection techniques which have been developed for di-jet searches focusing on jet substructure anomalies can be applied to event-level anomaly detection in this topology. To robustly capture event-level features of multi-particle kinematics, we employ new physically motivated variables derived from the geometric structure of a collision's phase space manifold. As a proof of concept, we explore the application of this approach to several benchmark signals in the di-$τ$ and di-$μ$ plus~X final states. We demonstrate that our anomaly detection approach can reach discovery-level significances for signals that would be missed in a conventional bump-hunt approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_13249 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Weakly supervised anomaly detection with event-level variables Brennan, Liam Vami, Tamas Almos Amram, Oz Sekhar, Sanjana Takahashi, Yuta Moureaux, Louis Sommerhalder, Manuel Maksimovic, Petar Cai, Tianji Craig, Nathaniel High Energy Physics - Phenomenology High Energy Physics - Experiment We introduce a new topology for weakly supervised anomaly detection searches, di-object plus~X. In this topology, one looks for a resonance decaying to two standard model particles produced in association with other anomalous event activity (X). This additional activity is used for classification. We demonstrate how anomaly detection techniques which have been developed for di-jet searches focusing on jet substructure anomalies can be applied to event-level anomaly detection in this topology. To robustly capture event-level features of multi-particle kinematics, we employ new physically motivated variables derived from the geometric structure of a collision's phase space manifold. As a proof of concept, we explore the application of this approach to several benchmark signals in the di-$τ$ and di-$μ$ plus~X final states. We demonstrate that our anomaly detection approach can reach discovery-level significances for signals that would be missed in a conventional bump-hunt approach. |
| title | Weakly supervised anomaly detection with event-level variables |
| topic | High Energy Physics - Phenomenology High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2504.13249 |