1988
DOI: 10.1016/0168-583x(88)90063-8
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SNIP, a statistics-sensitive background treatment for the quantitative analysis of PIXE spectra in geoscience applications

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Cited by 433 publications
(236 citation statements)
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“…The Raman spectra of different micelles with and without payloads and the respective polymers were collected using × 100 objective (NA 0.75) as follows: drop of the samples was taken on CaF 2 slides and a region of 10 × 10 μm was scanned with a spectral acquisition time of 10 s. The Raman spectra were pre-processed using GNU R programming platform with in-house-built script (Vienna, Austria). 27 The pre-processing involved spectral background correction 28 and normalization. Each spectrum shown ( Figures 2 and 4) is average of~400 spectra.…”
Section: Fluorescence Spectroscopymentioning
confidence: 99%
“…The Raman spectra of different micelles with and without payloads and the respective polymers were collected using × 100 objective (NA 0.75) as follows: drop of the samples was taken on CaF 2 slides and a region of 10 × 10 μm was scanned with a spectral acquisition time of 10 s. The Raman spectra were pre-processed using GNU R programming platform with in-house-built script (Vienna, Austria). 27 The pre-processing involved spectral background correction 28 and normalization. Each spectrum shown ( Figures 2 and 4) is average of~400 spectra.…”
Section: Fluorescence Spectroscopymentioning
confidence: 99%
“…Spectra were trimmed to 2,000 to 16,000 Da, with intensities transformed using the square root function. Spectra were smoothed with the Savitzky-Golay filter (22), and baseline noise was subtracted using statistics-sensitive nonlinear iterative peak clipping (23). Intensity was calibrated by the total ion current method so that individual spectra could be compared even when the absolute peak heights were dissimilar.…”
Section: Methodsmentioning
confidence: 99%
“…For AIMS, the gamma background -caused by ambient radioactive decay, downscattered gannas, or detector effects -is calculated with the Sensitive Nonlinear Iterative Peak-clipping (SNIP) algorithm, a widely used, statistically robust treatment of background and peak finding in gamma spectra [107,108]. The SNIP algorithm is applied to the gamma spectra in Figure 6-9 with the result plotting in red; The result is a clear delineation between the background and the 0.953 MeV photopeak from the ' 1 B(d, py)12B reaction, which can be integrated to provide quantification of the boron on the PFC surface.…”
Section: Gamma Spectrum Analysismentioning
confidence: 99%