157 citations · 315 across the 12 of their papers we have counts for
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hep-ph2026
Transformer-based machine learning using low-level calorimeter signals for collimated photon identification at collider experiments
Gabriel Matos, Lauren Larson, Abhilasha Dave +8
Electromagnetic calorimeters provide essential information for reconstructing and selecting both Standard Model (SM) and potential beyond the SM physics events at high-energy parti…
hep-ph2020★ 35 cited
Novel Interpretation Strategy for Searches of Singly Produced Vector-like Quarks at the LHC
Avik Roy, Nikiforos Nikiforou, Nuno Castro +1
Vector-like Quarks (VLQs) are potential signatures of physics beyond the Standard Model at the TeV energy scale and major efforts have been put forward at both ATLAS and CMS experi…