Deconvolution of 2D coincident Doppler broadening spectroscopy using the Richardson-Lucy algorithm

J. D. Zhang*, T. J. Zhou, C. K. Cheung, C. D. Beling, S. Fung, Kwok Po NG

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

10 Citations (Scopus)


Coincident Doppler Broadening Spectroscopy (CDBS) measurements are popular in positron solid-state studies of materials. By utilizing the instrumental resolution function obtained from a gamma line close in energy to the 511 keV annihilation line, it is possible to significantly enhance the quality of the CDBS spectra using deconvolution algorithms. In this paper, we compare two algorithms, namely the Non-Negativity Least Squares (NNLS) regularized method and the Richardson-Lucy (RL) algorithm. The latter, which is based on the method of maximum likelihood, is found to give superior results to the regularized least-squares algorithm and with significantly less computer processing time.

Original languageEnglish
Pages (from-to)552-557
Number of pages6
JournalNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Issue number2
Publication statusPublished - 10 May 2006

Scopus Subject Areas

  • Nuclear and High Energy Physics
  • Instrumentation

User-Defined Keywords

  • Coincidence Doppler Broadening Spectroscopy
  • Deconvolution
  • Richardson-Lucy


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