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Analysis-Specific Fast Simulation at the LHC with Deep Learning
We present a fast-simulation application based on a deep neural network, designed to create large analysis-specific datasets. Taking as an example the generation of W + jet events produced in $\sqrt{s}=$ 13 TeV proton–proton collisions, we train a neural network to model detector resolution effects...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/s41781-021-00060-4 http://cds.cern.ch/record/2773273 |
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