SNIP, a statistics-sensitive background treatment for the quantitative analysis of PIXE spectra in geoscience applications

C. G. Ryan; E. Clayton; W. L. Griffin; S. H. Sie; D. R. Cousens

doi:10.1016/0168-583X(88)90063-8

SNIP, a statistics-sensitive background treatment for the quantitative analysis of PIXE spectra in geoscience applications

C. G. Ryan^*, E. Clayton, W. L. Griffin, S. H. Sie, D. R. Cousens

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

458 Citations (Scopus)

Abstract

Statistical fluctuations in X-ray spectra must be treated properly for reliable quantitative PIXE analysis. A background approximation that provides reliable treatment of fluctuations, the Statistics-sensitive Non-linear Iterative Peak-clipping (SNIP) algorithm, is described. Monte Carlo simulation demonstrates the stability of this background approximation, and hence the deduced trace element concentrations, over a wide range of counting statistics.

Original language	English
Pages (from-to)	396-402
Number of pages	7
Journal	Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms
Volume	34
Issue number	3
DOIs	https://doi.org/10.1016/0168-583X(88)90063-8
Publication status	Published - 1988
Externally published	Yes

Access to Document

10.1016/0168-583X(88)90063-8

Cite this

Ryan, C. G., Clayton, E., Griffin, W. L., Sie, S. H., & Cousens, D. R. (1988). SNIP, a statistics-sensitive background treatment for the quantitative analysis of PIXE spectra in geoscience applications. Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms, 34(3), 396-402. https://doi.org/10.1016/0168-583X(88)90063-8

@article{3436e864a2cb42c1b38a1ef315d72391,

title = "SNIP, a statistics-sensitive background treatment for the quantitative analysis of PIXE spectra in geoscience applications",

abstract = "Statistical fluctuations in X-ray spectra must be treated properly for reliable quantitative PIXE analysis. A background approximation that provides reliable treatment of fluctuations, the Statistics-sensitive Non-linear Iterative Peak-clipping (SNIP) algorithm, is described. Monte Carlo simulation demonstrates the stability of this background approximation, and hence the deduced trace element concentrations, over a wide range of counting statistics.",

author = "Ryan, \{C. G.\} and E. Clayton and Griffin, \{W. L.\} and Sie, \{S. H.\} and Cousens, \{D. R.\}",

year = "1988",

doi = "10.1016/0168-583X(88)90063-8",

language = "English",

volume = "34",

pages = "396--402",

journal = "Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms",

issn = "0168-583X",

publisher = "Elsevier",

number = "3",

}

Ryan, CG, Clayton, E, Griffin, WL, Sie, SH & Cousens, DR 1988, 'SNIP, a statistics-sensitive background treatment for the quantitative analysis of PIXE spectra in geoscience applications', Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms, vol. 34, no. 3, pp. 396-402. https://doi.org/10.1016/0168-583X(88)90063-8

SNIP, a statistics-sensitive background treatment for the quantitative analysis of PIXE spectra in geoscience applications. / Ryan, C. G.; Clayton, E.; Griffin, W. L. et al.
In: Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms, Vol. 34, No. 3, 1988, p. 396-402.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - SNIP, a statistics-sensitive background treatment for the quantitative analysis of PIXE spectra in geoscience applications

AU - Ryan, C. G.

AU - Clayton, E.

AU - Griffin, W. L.

AU - Sie, S. H.

AU - Cousens, D. R.

PY - 1988

Y1 - 1988

N2 - Statistical fluctuations in X-ray spectra must be treated properly for reliable quantitative PIXE analysis. A background approximation that provides reliable treatment of fluctuations, the Statistics-sensitive Non-linear Iterative Peak-clipping (SNIP) algorithm, is described. Monte Carlo simulation demonstrates the stability of this background approximation, and hence the deduced trace element concentrations, over a wide range of counting statistics.

AB - Statistical fluctuations in X-ray spectra must be treated properly for reliable quantitative PIXE analysis. A background approximation that provides reliable treatment of fluctuations, the Statistics-sensitive Non-linear Iterative Peak-clipping (SNIP) algorithm, is described. Monte Carlo simulation demonstrates the stability of this background approximation, and hence the deduced trace element concentrations, over a wide range of counting statistics.

UR - https://www.scopus.com/pages/publications/0024087574

U2 - 10.1016/0168-583X(88)90063-8

DO - 10.1016/0168-583X(88)90063-8

M3 - Article

AN - SCOPUS:0024087574

SN - 0168-583X

VL - 34

SP - 396

EP - 402

JO - Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms

JF - Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms

IS - 3

ER -

SNIP, a statistics-sensitive background treatment for the quantitative analysis of PIXE spectra in geoscience applications

Abstract

Access to Document

Other files and links

Fingerprint

Cite this