Active Learning-Assisted Neutron Spectroscopy With Log-Gaussian Processes

Active learning at three-axes spectrometers (TAS) optimizes beam time by choosing informative measurement locations while considering instrument costs. The presentation introduces a method, based on Gaussian Process Regression and log-normal distributions, discovering signal regions efficiently.