Search Results for author:
Found 4 papers, 2 papers with code
Secondary Vertex Finding in Jets with Neural Networks
Jet classification is an important ingredient in measurements and searches for new physics at particle coliders, and secondary vertex reconstruction is a key intermediate step in building powerful jet classifiers.
High Energy Physics - Experiment High Energy Physics - Phenomenology
Graph Neural Networks in Particle Physics
Particle physics is a branch of science aiming at discovering the fundamental laws of matter and forces.
High Energy Physics - Experiment High Energy Physics - Phenomenology
Towards a Computer Vision Particle Flow
At the heart of PFlow algorithms is the ability to distinguish the calorimeter energy deposits of neutral particles from those of charged particles, using the complementary measurements of charged particle tracking devices, to provide a superior measurement of the particle content and kinematics.
Set2Graph: Learning Graphs From Sets
Many problems in machine learning can be cast as learning functions from sets to graphs, or more generally to hypergraphs; in short, Set2Graph functions.
