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Deep generative models for fast shower simulation in ATLAS
The need for large scale and high fidelity simulated samples for the ATLAS experiment motivates the development of new simulation techniques. Building on the recent success of deep learning algorithms at interpolation as well as image generation, Variational Auto-Encoders and Generative Adversarial...
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| Lenguaje: | eng |
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2019
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| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/1525/1/012077 http://cds.cern.ch/record/2680531 |