240 citations · 330 across the 15 of their papers we have counts for
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Antimatter Annihilation Vertex Reconstruction with Deep Learning for ALPHA-g Radial Time Projection Chamber
Ashley Ferreira, Mahip Singh, Yukiya Saito +9
The ALPHA-g experiment at CERN aims to precisely measure the terrestrial gravitational acceleration of antihydrogen atoms. A radial Time Projection Chamber (rTPC), that surrounds t…
CaloDVAE : Discrete Variational Autoencoders for Fast Calorimeter Shower Simulation
Abhishek Abhishek, Eric Drechsler, Wojciech Fedorko +1
Calorimeter simulation is the most computationally expensive part of Monte Carlo generation of samples necessary for analysis of experimental data at the Large Hadron Collider (LHC…
Using Machine Learning to Improve Neutron Identification in Water Cherenkov Detectors
Blair Jamieson, Matt Stubbs, Sheela Ramanna +5
Water Cherenkov detectors like Super-Kamiokande, and the next generation Hyper-Kamiokande are adding gadolinium to their water to improve the detection of neutrons. By detecting ne…
Variational Autoencoders for Generative Modelling of Water Cherenkov Detectors
Abhishek Abhishek, Wojciech Fedorko, Patrick de Perio +2
Matter-antimatter asymmetry is one of the major unsolved problems in physics that can be probed through precision measurements of charge-parity symmetry violation at current and ne…