27 citations · 140 across the 12 of their papers we have counts for
18 papers · 1 filter
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…
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…
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…
Non-linear top-Higgs CP violation
Akanksha Bhardwaj, Christoph Englert, Dorival Gonçalves +1
Searches for additional sources of CP violation at the Large Hadron Collider are a central part of the Higgs physics programme beyond the Standard Model. Studies employing so-calle…
On the BSM reach of four top production at the LHC
Anisha, Oliver Atkinson, Akanksha Bhardwaj +3
Many scenarios of beyond the Standard Model (BSM) physics give rise to new top-philic interactions that can be probed at proton machines such as the Large Hadron Collider through a…
Quartic Gauge-Higgs couplings: Constraints and Future Directions
Anisha, Oliver Atkinson, Akanksha Bhardwaj +2
Constraints on quartic interactions of the Higgs boson with gauge bosons have been obtained by the experimental LHC collaborations focussing on the so-called framework of flat…