20 citations · 22 across the 5 of their papers we have counts for
5 papers
Extracting Signal Electron Trajectories in the COMET Phase-I Cylindrical Drift Chamber Using Deep Learning
Fumihiro Kaneko, Yoshitaka Kuno, Joe Sato +3
We present a pioneering approach to tracking analysis within the COMET Phase-I experiment, which aims to search for the charged lepton flavor violating conversion process…
Implementation of antiproton generator in Geant4
Han Miao, Chen Wu, Hai-Bo Li
A generator of antiproton () in Geant4 has been developed using a theoretical model with the consideration of near-threshold treatment and used preliminarily in COMET expe…
Search for Majoron at the COMET Experiment
Tianyu Xing, Chen Wu, Han Miao +4
A new Goldstone particle named Majoron is introduced in order to explain the origin of neutrino mass by some new physics models assuming that neutrinos are Majorana particle. By ex…
Feed-forward neural network unfolding
Ming-Liang Wong, Andrew Edmonds, Chen Wu
A feed-forward neural network is demonstrated to efficiently unfold the energy distribution of protons and alpha particles passing through passive material. This model-independent…
A Measurement of Proton, Deuteron, Triton and Alpha Particle Emission after Nuclear Muon Capture on Al, Si and Ti with the AlCap Experiment
AlCap Collaboration, Andrew Edmonds, John Quirk +24
Heavy charged particles after nuclear muon capture are an important nuclear physics background to the muon-to-electron conversion experiments Mu2e and COMET, which will search for…