744 citations · 6.5k across the 102 of their papers we have counts for
5 papers · 1 filter
Beyond the Standard Model Physics at the HL-LHC and HE-LHC
X. Cid Vidal, M. D'Onofrio, P. J. Fox +294
This is the third out of five chapters of the final report [1] of the Workshop on Physics at HL-LHC, and perspectives on HE-LHC [2]. It is devoted to the study of the potential, in…
Variational Autoencoders for New Physics Mining at the Large Hadron Collider
Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini +2
Using variational autoencoders trained on known physics processes, we develop a one-sided threshold test to isolate previously unseen processes as outlier events. Since the autoenc…
Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider
Adrian Alan Pol, Gianluca Cerminara, Cecile Germain +2
Reliable data quality monitoring is a key asset in delivering collision data suitable for physics analysis in any modern large-scale High Energy Physics experiment. This paper focu…
Topology classification with deep learning to improve real-time event selection at the LHC
Thong Q. Nguyen, Daniel Weitekamp, Dustin Anderson +5
We show how event topology classification based on deep learning could be used to improve the purity of data samples selected in real time at at the Large Hadron Collider. We consi…
Fast inference of deep neural networks in FPGAs for particle physics
Javier Duarte, Song Han, Philip Harris +8
Recent results at the Large Hadron Collider (LHC) have pointed to enhanced physics capabilities through the improvement of the real-time event processing techniques. Machine learni…