Least-squares fitting of PIXE spectra with a digital filter treatment of the continuum

Maxwell, J.A.; Leigh, Robert G.; Campbell, John L.; Paul, H.

doi:10.1016/0168-583x(84)90383-5

Cited by 15 publications

(1 citation statement)

References 8 publications

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“…The first step toward this goal is continuum removal. Several algorithms have been reported in the literature and the most common ones are described by Thomsen et al [1], Gerasimov [2], Maxwell et al [3], and a complete review can be found in [4]. The first of these performs continuum removal using two models based on second-and third-order splines.…”

Section: Introductionmentioning

confidence: 99%

Removal of the continuum of X-ray spectra using morphological operators

Brunetti

1998

IEEE Trans. Nucl. Sci.

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Abstract-In energy dispersive X-ray fluorescence analysis, the estimation and removal of the continuum on which the X-ray spectrum is superimposed is a primary requirement. The algorithms commonly used are either complex, or in the case of, e.g., neural network algorithms, computation-intensive. They usually require strong constraints and/or hypotheses on the data or the shape of the continuum. Moreover, if the continuum amplitude is comparable to or bigger than the peak amplitudes, some of these algorithms can lose peaks. A new approach to continuum removal based on mathematical morphology is proposed here. The new algorithm permits fast continuum elimination without peak deterioration. Other than a rough estimate on the widths of the peaks, the new method does not require additional information about the spectrum. The method can also be applied without modification to background elimination from gamma ray spectra. This new method is described and results obtained from real and simulated spectra are discussed and evaluated.Index Terms-Continuum removal, morphological operators, spectroscopy, X-ray spectra analysis.

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Section: Introductionmentioning

confidence: 99%