1998
DOI: 10.1107/s0108767397016693
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Spatial correlation functions of radially distributed quantities applied to small-angle scattering

Abstract: Spatial auto-and cross-correlation functions of quantities distributed radially over spheres of different radii are presented in analytical form. In terms of its application to small-angle (neutron and X-ray) scattering, the distance distribution function is calculated for two-shell ionic micelles and for a spherical Gaussian contrast distribution.

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Cited by 4 publications
(4 citation statements)
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“…33 For X-ray patterns from a Kratky camera the ITP program 34 is the appropriate tool for determining p(r) in a model-free way with mathematical rigor. The results are plotted together with p(r) functions calculated 35 from the 2S-(Figure 3) and 4C model form factors (Figure 4). The first peak in the experimental p(r) function stands for the micellar core and seems to be approximated slightly better by the 2S model.…”
Section: Fitting Model Functionsmentioning
confidence: 99%
“…33 For X-ray patterns from a Kratky camera the ITP program 34 is the appropriate tool for determining p(r) in a model-free way with mathematical rigor. The results are plotted together with p(r) functions calculated 35 from the 2S-(Figure 3) and 4C model form factors (Figure 4). The first peak in the experimental p(r) function stands for the micellar core and seems to be approximated slightly better by the 2S model.…”
Section: Fitting Model Functionsmentioning
confidence: 99%
“…The cross-correlation function of quantities f1´r1µ and f2´r2µ, distributed radially over spheres of radii R1 and R2, is given by the following integral (Vass, 1998):…”
Section: Correlation Functions Of Radially Distributed Quantitiesmentioning
confidence: 99%
“…Notations for calculating the cross correlation functionf 2 12´r µ of quantities f 1´r1 µ and f 2´r2 µ, distributed radially on spheres of radii R 1 and R 2 , respectively. (Reproduced from Vass, 1998).…”
Section: Figurementioning
confidence: 99%
“…8 As a matter of fact, in this case the associated SAXS curves are free from frequently complex effects due to anisotropy, size polydispersity, and spatial correlation. 7,[9][10][11] Using classical setups, SAXS technique allows for the determination of low-resolution structural parameters of biological systems, such as macromolecules in solution, with sizes ranging from 1 nm up to 50 nm. 1,7 The relevant parameters usually determined for macromolecules from SAXS data are the radius of gyration, R g , threedimensional low-resolution envelope, molecular weight, M r , and oligomeric state.…”
Section: Introductionmentioning
confidence: 99%