1985
DOI: 10.1063/1.1138180
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Monte-Carlo error analysis in x-ray spectral deconvolution

Abstract: The deconvolution of spectral lnformatiGn from sparse x-ray data is z widely encountered problem in data analysis. An often-neglected aspect of this problem 1s Lhe propagation of random error in the deconvolutlon process. We have developed a Monte Carlo

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Cited by 16 publications
(9 citation statements)
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“…The signals for a particular time and their corresponding uncertainties were input into the code SHAZAM (Shirk and Hoffman, 1985). New currents are calculated for the adjusted spectrum and the process continues.…”
Section: Discussionmentioning
confidence: 99%
“…The signals for a particular time and their corresponding uncertainties were input into the code SHAZAM (Shirk and Hoffman, 1985). New currents are calculated for the adjusted spectrum and the process continues.…”
Section: Discussionmentioning
confidence: 99%
“…An alternative method (e.g., [61]) that is numerically more intensive, involves calculating a family of profiles that would be consistent with the measured data. The ability to find several profiles that work is a consequence of the underdetermined nature of the problem.…”
Section: 3-forward Optimization Methods For Inferring the Spatial mentioning
confidence: 99%
“…The technique of Monte Carlo error analysis is described by Shirk and Hoffman [61] for x-ray spectral deconvolution applications, although it is flexible enough for inverting any scalar quantity. The method for performing the inversion was described in the previous section (2.3.2), where a family of possible profiles are calculated.…”
Section: Techniques Used To Study Error Propagation Imentioning
confidence: 99%
“…[11], while the confidence band of the reconstruction has been computed with the Monte Carlo procedure proposed in ref. [18]. Since each of the methods presented suffers from the generation of artifacts in the reconstructed distribution, cumulative statistics has been studied as well.…”
Section: Analysis Techniquesmentioning
confidence: 99%