489 citations · 2.9k across the 40 of their papers we have counts for
6 papers · 1 filter
Energy-Energy Flow Networks
Arianna Garcia Caffaro, Ian Moult, Chase Shimmin
Jet substructure provides one of the most exciting new approaches for searching for physics in and beyond the Standard Model at the Large Hadron Collider. Modern jet substructure s…
Particle Convolution for High Energy Physics
Chase Shimmin
We introduce the Particle Convolution Network (PCN), a new type of equivariant neural network layer suitable for many tasks in jet physics. The particle convolution layer can be vi…
AI Safety for High Energy Physics
Benjamin Nachman, Chase Shimmin
The field of high-energy physics (HEP), along with many scientific disciplines, is currently experiencing a dramatic influx of new methodologies powered by modern machine learning…
Boosting low-mass hadronic resonances
Chase Shimmin, Daniel Whiteson
Searches for new hadronic resonances typically focus on high-mass spectra, due to overwhelming QCD backgrounds and detector trigger rates. We present a study of searches for relati…
Systematically Searching for New Resonances at the Energy Frontier using Topological Models
Mohammad Abdullah, Eric Albin, Anthony DiFranzo +8
We propose a new strategy to systematically search for new physics processes in particle collisions at the energy frontier. An examination of all possible topologies which give ide…
Mono-Higgs: a new collider probe of dark matter
Linda M. Carpenter, Anthony DiFranzo, Michael Mulhearn +3
We explore the LHC phenomenology of dark matter (DM) pair production in association with a 125 GeV Higgs boson. This signature, dubbed `mono-Higgs,' appears as a single Higgs boson…