73 citations · 121 across the 4 of their papers we have counts for
4 papers
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…
Non-resonant Diagrams for Single Production of Top and Bottom Partners
Avik Roy, Timothy Andeen
The search for Top and Bottom Partners is a major focus of analyses at both the ATLAS and CMS experiments. When singly produced, these vector-like partners of the Standard Model th…
Recipes for when Physics Fails: Recovering Robust Learning of Physics Informed Neural Networks
Chandrajit Bajaj, Luke McLennan, Timothy Andeen +1
Physics-informed Neural Networks (PINNs) have been shown to be effective in solving partial differential equations by capturing the physics induced constraints as a part of the tra…
Snowmass 2013 Top quark working group report
K. Agashe, R. Erbacher, C. E. Gerber +167
This report summarizes the work of the Energy Frontier Top Quark working group of the 2013 Community Summer Study (Snowmass).