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Determining the probability of locating peaks using computerized peak-location methods in gamma-ray spectra as a function of the relative peak-area uncertainty

Author
Ali, M.; Boshkova, T.; Anagnostakis, M.; Camacho, A.; Fornaciari, M.; Collins, S. M.; Ubiratan, J.
Type of activity
Journal article
Journal
Applied radiation and isotopes
Date of publication
2020-01-01
Volume
155
Number
January
First page
108920:1
Last page
108920:6
DOI
10.1016/j.apradiso.2019.108920
Repository
http://hdl.handle.net/2117/182195 Open in new window
URL
https://www.sciencedirect.com/science/article/abs/pii/S0969804319301095 Open in new window
Abstract
The probabilities of locating peaks with a high relative peak-area uncertainty were determined empirically with nine types of peak-location software used in laboratories engaged in gamma-ray spectrometry measurements. It was found that it is not possible to locate peaks with a probability of 0.95, when they have a relative peak-area uncertainty in excess of 50%. Locating peaks at these relatively high peak-area uncertainties with a probability greater than 0.95 is only possible in the library-dr...
Citation
Ali, M. [et al.]. Determining the probability of locating peaks using computerized peak-location methods in gamma-ray spectra as a function of the relative peak-area uncertainty. "Applied radiation and isotopes", 1 Gener 2020, vol. 155, núm. January, p. 108920:1-108920:6.
Keywords
Decision threshold, Gamma-ray spectrometry, Peak location, Relative peak-area uncertainty
Group of research
DRM - Dosimetry and Medical Radiation Physics

Participants

  • Ali Santoro, María Del Carmen  (author)
  • Boshkova, Tatiana  (author)
  • Anagnostakis, Mario J.  (author)
  • Camacho Garcia, Antonia  (author)
  • Fornaciari Iljadica, Marra C.  (author)
  • Collins, Sean M.  (author)
  • Ubiratan Delgado, José  (author)