Improving new physics searches with diffusion models for event observables and jet constituents
Abstract We introduce a new technique called Drapes to enhance the sensitivity in searches for new physics at the LHC. By training diffusion models on side-band data, we show how background templates for the signal region can be generated either directly from noise, or by partially applying the diff...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2024-04-01
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| Serie: | Journal of High Energy Physics |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/JHEP04(2024)109 |
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