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Deconvolution of energy‐dispersive X‐ray peaks using the poisson probability function
Author(s) -
Ingamells C. O.,
Fox J. J.
Publication year - 1979
Publication title -
x‐ray spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 45
eISSN - 1097-4539
pISSN - 0049-8246
DOI - 10.1002/xrs.1300080210
Subject(s) - deconvolution , poisson distribution , gaussian , energy (signal processing) , resolution (logic) , detector , function (biology) , gaussian function , physics , statistics , computational physics , statistical physics , optics , mathematics , computer science , artificial intelligence , quantum mechanics , evolutionary biology , biology
A disability of energy‐dispersive X‐ray (EDX) analyzers is the relatively poor resolution of available detectors. Much work has been done in efforts to separate overlapping peaks. It is recognized that the distribution of signals registered in the several channels around a peak is essentially Poisson, but most efforts at deconvolution have been based on Gaussian statistics, probably because of difficulties encountered in the use of the Poisson formula. These difficulties have been overcome, and a simple method for deconvoluting two, three or more overlapping peaks in an EDX spectrum has been developed.