3 papers
hep-ph2024
Foundations of automatic feature extraction at LHC--point clouds and graphs
Akanksha Bhardwaj, Partha Konar, Vishal S. Ngairangbam
Deep learning algorithms will play a key role in the upcoming runs of the Large Hadron Collider (LHC), helping bolster various fronts ranging from fast and accurate detector simula…
hep-ph2024
Equivariant, Safe and Sensitive -- Graph Networks for New Physics
Akanksha Bhardwaj, Christoph Englert, Wrishik Naskar +2
This study introduces a novel Graph Neural Network (GNN) architecture that leverages infrared and collinear (IRC) safety and equivariance to enhance the analysis of collider data f…
hep-ph2024
Non-linear gauge-Higgs CP violation
Akanksha Bhardwaj, Christoph Englert, Dorival Gonçalves +1
A critical element of the LHC physics program is the search for an additional source of CP violation. This is largely unexplored in the context of non-linear Higgs physics, which i…