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.
@article{arxiv.1903.11788,
title = {Cherenkov Detectors Fast Simulation Using Neural Networks},
author = {Denis Derkach and Nikita Kazeev and Fedor Ratnikov and Andrey Ustyuzhanin and Alexandra Volokhova},
journal= {arXiv preprint arXiv:1903.11788},
year = {2019}
}
Comments
In proceedings of 10th International Workshop on Ring Imaging Cherenkov Detectors