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Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network
Simulations of particle showers in calorimeters are computationally time-consuming, as they have to reproduce both energy depositions and their considerable fluctuations. A new approach to ultra-fast simulations is generative models where all calorimeter energy depositions are generated simultaneous...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/s41781-018-0019-7 http://cds.cern.ch/record/2635921 |