Speaker
Devin Seay
(University of Virginia)
Description
Constant current continuous wave Nuclear Magnetic Resonance (NMR) has been an essential tool for polarized target experiments in Nuclear and High-energy physics. Q-meter based phase-sensitive detection can provide accurate monitoring of the polarization over the course of a scattering experiment with limitations due to some operational parameters. In this talk, we present recent studies of improved signal to noise in polarization measurements as well as reliable measurements outside of the designated range of the Q-meter's operational parameters with the use of machine learning (ML).
Primary authors
Devin Seay
(University of Virginia)
Dr
Ishara Fernando
(University of Virginia)
Prof.
Dustin Keller
(University of Virginia)
