1.1k citations · 8.7k across the 150 of their papers we have counts for
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Towards Reliable Neural Generative Modeling of Detectors
Lucio Anderlini, Matteo Barbetti, Denis Derkach +3
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 produc…
Allen: A high level trigger on GPUs for LHCb
R. Aaij, J. Albrecht, M. Belous +26
We describe a fully GPU-based implementation of the first level trigger for the upgrade of the LHCb detector, due to start data taking in 2021. We demonstrate that our implementati…
Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networks
Artem Maevskiy, Denis Derkach, Nikita Kazeev +3
The increasing luminosities of future Large Hadron Collider runs and next generation of collider experiments will require an unprecedented amount of simulated events to be produced…