2 papers
hep-ex2019
DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC
Riccardo Di Sipio, Michele Faucci Giannelli, Sana Ketabchi Haghighat +1
A Generative-Adversarial Network (GAN) based on convolutional neural networks is used to simulate the production of pairs of jets at the LHC. The GAN is trained on events generated…
physics.ins-det2018
Construction techniques and performances of a full-size prototype Micromegas chamber for the ATLAS muon spectrometer upgrade
T. Alexopoulos, M. Alviggi, M. Antonelli +76
A full-size prototype of a Micromegas precision tracking chamber for the upgrade of the ATLAS detector at the LHC Collider has been built between October 2015 and April 2016. This…