1994
DOI: 10.1107/s0021889893008337
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Propagating errors in small-angle scattering data treatment

Abstract: The problem of error propagation using indirect methods for small-angle scattering data treatment is considered. In these methods, the number of parameters to be determined is normally larger than the maximum number of independent parameters predicted by the Shannon sampling theorem and the solution has to be regularized. It is shown in model examples that evaluation of the error propagation via the covariance matrix can lead to significant overestimation of the propagated errors. The reason is that the proced… Show more

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Cited by 44 publications
(46 citation statements)
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“…Calculation of the distance distribution functions p(r) and desmearing of the intensity were performed with the method of indirect Fourier transformation using the program GNOM, which also delivers errors for the p(r) curves (22,23).…”
Section: Methodsmentioning
confidence: 99%
“…Calculation of the distance distribution functions p(r) and desmearing of the intensity were performed with the method of indirect Fourier transformation using the program GNOM, which also delivers errors for the p(r) curves (22,23).…”
Section: Methodsmentioning
confidence: 99%
“…The errors on p(r) and the parameters d(q ϭ 0)/d⍀ and R g,av that were derived from p(r) were estimated by the Monte Carlo procedure as described by Svergun and Pedersen. 44 Because of particle interactions, some of the p(r) functions determined for the ␤-lg samples give negative values for large values of r. This effect on p(r) is due to the structure factor [Eq. (4)] that influences the scattering data at low q values.…”
Section: Indirect Fourier Transformation Of Sans Datamentioning
confidence: 99%
“…Hansen & Wilkins, 1994). Systematic errors like these and those mentioned previously from the unknown amount of aggregation will dominate the error on the estimates (see also Svergun & Pedersen, 1994).…”
Section: Maximum Entropymentioning
confidence: 70%