ArticleThe European physical journal. C, Particles and fields2025
Multiple testing for signal-agnostic searches for new physics with machine learning.
Article in The European physical journal. C, Particles and fields, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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Who cites it
1 citing paper in PubMed.
- Robust resonant anomaly detection with NPLM.The European physical journal. C, Particles and fields · 2025Article
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Authors and funding
2 authors.
Funding
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Abstract
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 the New Physics Learning Machine, a methodology to perform a signal-agnostic likelihood-ratio test, we explore a number of approaches to multiple testing, such as combining
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Registered trials
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