2026-04-17T11:56:09Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/1821952026-02-07T07:12:40Zcom_2072_1033col_2072_452950

urn:hdl:2117/182195 Determining the probability of locating peaks using computerized peak-location methods in gamma-ray spectra as a function of the relative peak-area uncertainty Ali Santoro, María Del Carmen Boshkova, Tatiana Anagnostakis, Mario J. Camacho García, Antonia Fornaciari Iljadica, Marra C. Collins, Sean M. Ubiratan Delgado, José Àrees temàtiques de la UPC::Física Gamma rays Gamma ray spectrometry Gamma-ray spectrometry Relative peak-area uncertainty Peak location Decision threshold Raigs gamma Espectrometria de raigs gamma 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-driven mode, where the peak positions are supposed a-priori. The deficiencies of the library-driven mode and the possibilities to improve the probabilities of locating peaks are briefly discussed. Postprint (author's final draft) 2020-01-01 Article https://www.sciencedirect.com/science/article/abs/pii/S0969804319301095 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access Attribution-NonCommercial-NoDerivs 3.0 Spain