Study on data processing for x-ray spectrometer based on microcalorimeter

Jingkai Xia; Shuo Zhang; Bingjun Wu; Zhi Liu

doi:10.1117/12.2625121

27 March 2022 Study on data processing for x-ray spectrometer based on microcalorimeter

Jingkai Xia, Shuo Zhang, Bingjun Wu, Zhi Liu

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121698H (2022) https://doi.org/10.1117/12.2625121
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

X-ray spectroscopy is an important method in exploring the material composition and elemental properties. Traditional spectrometers in X-ray spectroscopy include wavelength-dispersive type and semiconductors-based energy-dispersive type. The former possesses high energy resolution but low collecting efficiency and narrow spectral band coverage, while the latter is more efficient and wider in spectral range but give relatively low energy resolution. Spectrometers based on microcalorimeters serve as a new class of energy-dispersive type spectrometers which balance the performance in energy resolution, detection efficiency, and spectral coverage, making them promising in many spectroscopy applications. The superconducting transition-edge sensor (TES) is a representative class of maturely developed microcalorimeters success in array fabrication and readout. We are developing TESs-based X-ray spectrometer at ShanghaiTech University aiming at the application in advanced X-ray light source, like synchrotron radiation or free electron laser facilities. Recently, a prototype has been set up and started running in the lab. This paper introduces a systematic work on data processing with this prototype, focusing on both data acquisition and analysis. With optimization on both hardware and analysis, we have achieved resolution better than 7 eV in the range from 2 keV to 9 keV on the prototype.

Citation Download Citation

Jingkai Xia, Shuo Zhang, Bingjun Wu, and Zhi Liu "Study on data processing for x-ray spectrometer based on microcalorimeter", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121698H (27 March 2022); https://doi.org/10.1117/12.2625121

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KEYWORDS

Spectroscopy

X-rays

Data processing

Data acquisition

Calibration

Optimal filtering

Spectral resolution

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