Development of X-ray spectrometer automatic adjustment system based on global optimization algorithm
Fei Zhan

TL;DR
This paper presents an intelligent automatic adjustment system for high energy resolution X-ray spectrometers using a global optimization algorithm, significantly improving efficiency and accuracy during beamline commissioning.
Contribution
It introduces a novel global optimization-based automatic adjustment method for X-ray spectrometers, enhancing speed and precision over manual tuning.
Findings
Automatic adjustment converges in hundreds of steps
System achieves optimal spectrometer configuration quickly
Improves spectrum accuracy after adjustment
Abstract
In high energy resolution X-ray spectroscopy beamlines of synchrotron radiation facilities, it is important to keep X-ray spectrometer operating in optimal conditions. The adjusting process is normally very time consuming due to the irregular light source beam point, and it is difficult to get global optimum. This study aims to develop an intelligent adjusting system based on global optimization algorithm for high energy resolution X-ray spectroscopy beamline commissioning. First of all, based on the two dimensional experimental data, automatic adjustment process was established. Then the automatic optimization was applied to adjust X-ray spectrometer practically, and upgraded iteratively. Online tests results show that this automatic adjustment process converges to the optimal solution quickly, and the convergence time is about several hundred steps, more efficient than manual…
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Advanced X-ray and CT Imaging · Radiomics and Machine Learning in Medical Imaging
