An optimized online filter stack spectrometer
Abstract
The spectrum of laser-plasma-generated X-rays is very important as it can characterize electron dynamics and also be useful for applications, and nowadays with the forthcoming high-repetition-rate laser-plasma experiments, there is a raising demand for online diagnosis for the X-ray spectrum. In this paper, scintillators and silicon PIN diodes are used to build a wideband online filter stack spectrometer. The genetic algorithm is used to optimize the arrangements of the X-ray sensors and filters by minimizing the condition number of the response matrix, thus the unfolding error can be significantly decreased according to the numerical experiments. The detector responses are quantitatively calibrated by irradiating the scintillator and PIN diode using different nuclides and comparing the measured gamma-ray peaks. Finally, a 15-channel spectrometer prototype has been implemented. The X-ray detector, front-end electronics, and back-end electronics are integrated into the prototype, and the prototype can determine the spectrum with 1 kHz repetition rates.
Keywords
Cite
@article{arxiv.2301.12580,
title = {An optimized online filter stack spectrometer},
author = {Jia-xing Wen and Ge Ma and Ming-hai Yu and Yu-chi Wu and Yong-hong Yan and Shao-yi Wang and Huai-zhong Gao and Lu-shan Wang and Yu-gang Zhou and Qiang Li and Yue Yang and Fang Tan and Xiao-hui Zhang and Jie Zhang and Wen-bo Mo and Jing-qin Su and Wei-min Zhou and Yu-qiu Gu and Zong-qing Zhao and Ming Zeng},
journal= {arXiv preprint arXiv:2301.12580},
year = {2023}
}