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arXiv · 1903.11788

Cherenkov Detectors Fast Simulation Using Neural Networks

Denis Derkach·Nikita Kazeev·Fedor Ratnikov·Andrey Ustyuzhanin·Alexandra Volokhova
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Abstract

We propose a way to simulate Cherenkov detector response using a generative adversarial neural network to bypass low-level details. This network is trained to reproduce high level features of the simulated detector events based on input observables of incident particles. This allows the dramatic increase of simulation speed. We demonstrate that this approach provides simulation precision which is consistent with the baseline and discuss possible implications of these results.

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Denis Derkach, Nikita Kazeev, Fedor Ratnikov, Andrey Ustyuzhanin, Alexandra Volokhova. 2019-03-28. Cherenkov Detectors Fast Simulation Using Neural Networks. https://doi.org/10.1016/j.nima.2019.01.031

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