86 citations · 135 across the 5 of their papers we have counts for
5 papers
Software Challenges For HL-LHC Data Analysis
ROOT Team, Kim Albertsson Brann, Guilherme Amadio +21
The high energy physics community is discussing where investment is needed to prepare software for the HL-LHC and its unprecedented challenges. The ROOT project is one of the centr…
Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors
Xiangyang Ju, Steven Farrell, Paolo Calafiura +20
Pattern recognition problems in high energy physics are notably different from traditional machine learning applications in computer vision. Reconstruction algorithms identify and…
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…
Iterative subtraction method for Feature Ranking
Paul Glaysher, Judith M. Katzy, Sitong An
Training features used to analyse physical processes are often highly correlated and determining which ones are most important for the classification is a non-trivial tasks. For th…
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…