Multiple testing for signal-agnostic searches for new physics with machine learning
In this work, we address the question of how to enhance signal-agnostic searches by leveraging multiple testing strategies. Specifically, we consider hypothesis tests relying on machine learning, where model selection can introduce a bias towards specific families of new physics signals. Focusing on...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2025
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| Online Access: | https://hdl.handle.net/1721.1/157946 |