Semi-supervised permutation invariant particle-level anomaly detection
Abstract The development of analysis methods to distinguish potential beyond the Standard Model phenomena in a model-agnostic way can significantly enhance the discovery reach in collider experiments. However, the typical machine learning (ML) algorithms employed for this task require fixed length a...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
SpringerOpen
2025-05-01
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| Sarja: | Journal of High Energy Physics |
| Aiheet: | |
| Linkit: | https://doi.org/10.1007/JHEP05(2025)116 |
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