49 citations · 128 across the 5 of their papers we have counts for
4 papers · 1 filter
End-to-end particle and event identification at the Large Hadron Collider with CMS Open Data
John Alison, Sitong An, Michael Andrews +8
From particle identification to the discovery of the Higgs boson, deep learning algorithms have become an increasingly important tool for data analysis at the Large Hadron Collider…
Deep Learning the Morphology of Dark Matter Substructure
Stephon Alexander, Sergei Gleyzer, Evan McDonough +2
Strong gravitational lensing is a promising probe of the substructure of dark matter halos. Deep learning methods have the potential to accurately identify images containing substr…
New Technologies for Discovery
Z. Ahmed, A. Apresyan, M. Artuso +80
For the field of high energy physics to continue to have a bright future, priority within the field must be given to investments in the development of both evolutionary and transfo…
End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data
Michael Andrews, John Alison, Sitong An +7
We describe the construction of end-to-end jet image classifiers based on simulated low-level detector data to discriminate quark- vs. gluon-initiated jets with high-fidelity simul…