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Feasibility study on a stabilization method based on full spectrum reallocation for spectra having non-identical momentum features

  • Kilyoung Ko (Dept. of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology) ;
  • Wonku Kim (Dept. of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology) ;
  • Hyunwoong Choi (Dept. of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology) ;
  • Gyuseong Cho (Dept. of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology)
  • Received : 2022.11.22
  • Accepted : 2023.03.22
  • Published : 2023.07.25

Abstract

Methodology for suppressing or recovering the distorted spectra, which may occur due to mutual non-uniformity and nonlinear response when a multi-detector is simultaneously operated for gamma spectroscopy, is presented with respect to its applicability to stabilization of spectra having the non-identical feature using modified full spectrum reallocation method. The modified full-spectrum reallocation method is extended to provide multiple coefficients that describe the gain drift for multi-division of the spectrum and they were incorporated into an optimization process utilizing a random sampling algorithm. Significant performance improvements were observed with the use of multiple coefficients for solving partial peak dislocation. In this study, our achievements to confirm the stabilization of spectrum having differences in moments and modify the full spectrum reallocation method provide the feasibility of the method and ways to minimize the implication of the non-linear responses normally associated with inherent characteristics of the detector system. We believe that this study will not only simplify the calibration process by using an identical response curve but will also contribute to simplifying data pre-processing for various studies as all spectra can be stabilized with identical channel widths and numbers.

Keywords

Acknowledgement

This research was supported by the National Research Foundation (NRF) of Korea grant funded by the Korea government (MIST) No. RS-2022-00154985.

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