Publications (8)
Efficiency Studies of Fast Neutron Tracking using MCNP
Pinghan Chu, Michael R. James, Zhehui Wang
Fast neutron identification and spectroscopy is of great interest to nuclear physics experiments. Using the neutron elastic scattering, the fast neutron momentum can be measured. (…
Time-lens Photon Doppler Velocimetry (TL-PDV)
Pinghan Chu, Velat Kilic, Mark A. Foster +1
We describe a time lens to expand the dynamic range of photon Doppler velocimetry (PDV) systems. The principle and preliminary design of a time-lens PDV (TL-PDV) are explained and…
Status Update of the MAJORANA DEMONSTRATOR Neutrinoless Double Beta Decay Experiment
Julieta Gruszko, Nicolas Abgrall, Isaac Arnquist +67
Neutrinoless double beta decay searches play a major role in determining neutrino properties, in particular the Majorana or Dirac nature of the neutrino and the absolute scale of t…
Time-reversal invariance violation measurement using polarized neutron scattering from polarized xenon
Pinghan Chu
We proposed to use polarized neutrons scattering from a hyperpolarized 131Xe gaseous target in order to measure time-reversal violation effect in baryon processes with nucleons. Th…
A Machine Learning-Driven Solution for Denoising Inertial Confinement Fusion Images
Asya Y. Akkus, Bradley T. Wolfe, Pinghan Chu +7
Neutron imaging is essential for diagnosing and optimizing inertial confinement fusion implosions at the National Ignition Facility. Due to the required 10-micrometer resolution, h…
Physics-informed Meta-instrument for eXperiments (PiMiX) with applications to fusion energy
Zhehui Wang, Shanny Lin, Miles Teng-Levy +24
Data-driven methods (DDMs), such as deep neural networks, offer a generic approach to integrated data analysis (IDA), integrated diagnostic-to-control (IDC) workflows through data…