1 citations · 3 across the 3 of their papers we have counts for
3 papers
physics.data-an2021★ 1 cited
Shower Identification in Calorimeter using Deep Learning
Yogesh Verma, Satyajit Jena
Pions constitute nearly of final state particles in ultra high energy collisions. They act as a probe to understand the statistical properties of Quantum Chromodynamics (QCD…
physics.data-an2021★ 1 cited
Jet characterization in Heavy Ion Collisions by QCD-Aware Graph Neural Networks
Yogesh Verma, Satyajit Jena
The identification of jets and their constituents is one of the key problems and challenging task in heavy ion experiments such as experiments at RHIC and LHC. The presence of huge…
physics.data-an2020★ 1 cited
Particle Track Reconstruction using Geometric Deep Learning
Yogesh Verma, Satyajit Jena
Muons are the most abundant charged particles arriving at sea level originating from the decay of secondary charged pions and kaons. These secondary particles are created when high…