32 citations · 32 across the 1 of their papers we have counts for
3 papers
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics
Dawit Belayneh, Federico Carminati, Amir Farbin +13
Using detailed simulations of calorimeter showers as training data, we investigate the use of deep learning algorithms for the simulation and reconstruction of particles produced i…
Using Big Data Technologies for HEP Analysis
Matteo Cremonesi, Claudio Bellini, Bianny Bian +17
The HEP community is approaching an era were the excellent performances of the particle accelerators in delivering collision at high rate will force the experiments to record a lar…
LHC analysis-specific datasets with Generative Adversarial Networks
Bobak Hashemi, Nick Amin, Kaustuv Datta +2
Using generative adversarial networks (GANs), we investigate the possibility of creating large amounts of analysis-specific simulated LHC events at limited computing cost. This kin…