Towards Reliable Neural Generative Modeling of Detectors

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The increasing luminosities of future data taking at Large Hadron Collider and next generation collider experiments require an unprecedented amount of simulated events to be produced. Such large scale productions demand a significant amount of valuable computing resources. This brings a demand to us...

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Detalles Bibliográficos
Autores principales: Anderlini, Lucio, Barbetti, Matteo, Derkach, Denis, Kazeev, Nikita, Maevskiy, Artem, Mokhnenko, Sergei
Lenguaje:eng
Publicado: 2023
Materias:
Particle Physics - Experiment
Computing and Computers
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/2438/1/012130
http://cds.cern.ch/record/2808834

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