Peak Clipping Algorithms for Background Estimation in Spectroscopic Data

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Abstract:

In this paper we present sensitive nonlinear iterative peak (SNIP) clipping algorithms to estimate background in various kinds of spectra. We have proposed several improvements of the SNIP algorithm. Moreover, we have extended and generalized the SNIP algorithm for multidimensional coincidence γ-ray spectra. In addition to the continuous background, the so-called lower-order coincidences, i.e., coincidences peak-background in different dimensions, must also be included into the estimated background. Further, we have derived a set of modifications of the algorithm that allow estimation of specific shapes of background and ridges as well.

Keywords: BACKGROUND ESTIMATION; CLIPPING WINDOW; ELECTRON SPECTRA; MULTIDIMENSIONAL GAMMA-RAY SPECTRA; RIDGE DETECTION; SENSITIVE NONLINEAR ITERATIVE PEAK CLIPPING ALGORITHM; SNIP

Document Type: Research Article

DOI: http://dx.doi.org/10.1366/000370208783412762

Affiliations: Institute of Physics, Slovak Academy of Sciences, Dúbravská cesta 9, 845 11 Bratislava, Slovak Republic

Publication date: January 1, 2008

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