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High Energy Physics Calorimeter Detector Simulation Using Generative Adversarial Networks With Domain Related Constraints
Generative Adversarial Networks (GANs) have gained notoriety by generating highly realistic images. The present work explores GAN for simulating High Energy Physics detectors, interpreting detector output as three-dimensional images. The demands and requirements of a scientific simulation are quite...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1109/access.2021.3101946 http://cds.cern.ch/record/2810005 |