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Fast simulation of the ATLAS calorimeter system with Generative Adversarial Networks
The extensive physics program of the ATLAS experiment at the Large Hadron Collider needs large scale and high fidelity simulated samples which forwards the research and development of better fast simulation techniques. Building on the recent success of deep learning algorithms, Generative Adversaria...
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| Lenguaje: | eng |
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2020
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| Acceso en línea: | http://cds.cern.ch/record/2746032 |