Research on constant area spectral peak reconstruction algorithm for improving energy resolution of silicon drift detectors

Longjun Cheng; Bohua Yin; Mingzhang Chu; Zhengjie Li; Botong Sun; Dazheng Wang; Junbiao Liu; Li Han

doi:10.1117/12.2644190

9 September 2022 Research on constant area spectral peak reconstruction algorithm for improving energy resolution of silicon drift detectors

Longjun Cheng, Bohua Yin, Mingzhang Chu, Zhengjie Li, Botong Sun, Dazheng Wang, Junbiao Liu, Li Han

Author Affiliations +

Proceedings Volume 12328, Second International Conference on Optics and Image Processing (ICOIP 2022); 123280Q (2022) https://doi.org/10.1117/12.2644190
Event: Second International Conference on Optics and Image Processing (ICOIP 2022), 2022, Taian, China

Abstract

Energy resolution, considered to be one of the most important parameters, reflects the performance of Silicon Drift Detectors (SDDs). A constant area spectral peak reconstruction algorithm is proposed to improve the energy resolution of SDDs in this paper. Without changing the peak position and peak area, the peak width is reduced by spectral peak reconstruction. The results show that the energy resolution of the SDDs is improved by 28.57% using the algorithm. Moreover, with the increase of energy resolution, the peak amplitude increases, which in turn increases the peak-to-back ratio by 18.71%. For sum peaks, it is effective to decompose sum peaks by the least square fitting. The method is applied to fit the curve to solve the relevant parameters and the peak widths are changed to reconstruct the Gaussian peak.

Citation Download Citation

Longjun Cheng, Bohua Yin, Mingzhang Chu, Zhengjie Li, Botong Sun, Dazheng Wang, Junbiao Liu, and Li Han "Research on constant area spectral peak reconstruction algorithm for improving energy resolution of silicon drift detectors", Proc. SPIE 12328, Second International Conference on Optics and Image Processing (ICOIP 2022), 123280Q (9 September 2022); https://doi.org/10.1117/12.2644190

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