G. George

Conventional and Machine Learning-Driven Corrections for Beam Intensity Fluctuations in X-ray Fluorescence Imaging

X-ray fluorescence imaging (XFI) experiments are inherently vulnerable to beam-intensity instabilities, particularly during long duration measurements, where unanticipated instrumental failures can compromise data quality. Here we present a systematic comparison of conventional analytical and machine learning-based a...