32 citations · 32 across the 1 of their papers we have counts for
4 papers
Automating the Construction of Jet Observables with Machine Learning
Kaustuv Datta, Andrew Larkoski, Benjamin Nachman
Machine-learning assisted jet substructure tagging techniques have the potential to significantly improve searches for new particles and Standard Model measurements in hadronic fin…
LHC analysis-specific datasets with Generative Adversarial Networks
Bobak Hashemi, Nick Amin, Kaustuv Datta +2
Using generative adversarial networks (GANs), we investigate the possibility of creating large amounts of analysis-specific simulated LHC events at limited computing cost. This kin…
Unfolding with Generative Adversarial Networks
Kaustuv Datta, Deepak Kar, Debarati Roy
Correcting measured detector-level distributions to particle-level is essential to make data usable outside the experimental collaborations. The term unfolding is used to describe…
Beam energy dependence of pseudorapidity distributions of charged particles produced in heavy-ion collisions at RHIC and LHC energies
Sumit Basu, Tapan K. Nayak, Kaustuv Datta
Heavy-ion collisions at the Relativistic Heavy Ion Collider at Brookhaven National Laboratory and the Large Hadron Collider at CERN probe matter at extreme conditions of temperatur…