Deeply learning deep inelastic scattering kinematics
Abstract We study the use of deep learning techniques to reconstruct the kinematics of the neutral current deep inelastic scattering (DIS) process in electron–proton collisions. In particular, we use simulated data from the ZEUS experiment at the HERA accelerator facility, and train deep neural netw...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
SpringerOpen
2022-11-01
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| Col·lecció: | European Physical Journal C: Particles and Fields |
| Accés en línia: | https://doi.org/10.1140/epjc/s10052-022-10964-z |
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