TRANSIT your events into a new mass: fast background interpolation for weakly-supervised anomaly searches
Abstract We introduce a new model for conditional and continuous data morphing called TRansport Adversarial Network for Smooth InTerpolation (TRANSIT). We apply it to create a background data template for weakly-supervised searches at the LHC. The method smoothly transforms sideband events to match...
Gardado en:
| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
SpringerOpen
2025-07-01
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| Series: | Journal of High Energy Physics |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1007/JHEP07(2025)177 |
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