For information about polarised and magnetic scattering, see the `magnetism` documentation.
Definition
The scattering intensity $I(q)$ is calculated as:
$$ I(q) = \frac{\text{scale}}{V}(\Delta \rho)^2 A^2(q) S(q) + \text{background}
$$
where the amplitude $A(q)$ is given as the typical sphere scattering convoluted with a Gaussian to get a gradual drop-off in the scattering length density:
$$ A(q) = \frac{3\left[\sin(qR) - qR \cos(qR)\right]}{(qR)^3} \exp\left(\frac{-(\sigma_\text{fuzzy}q)^2}{2}\right)
$$
Here $A(q)^2$ is the form factor, $P(q)$. The scale is equivalent to the volume fraction of spheres, each of volume, $V$. Contrast $(\Delta \rho)$ is the difference of scattering length densities of the sphere and the surrounding solvent.
Poly-dispersion in radius and in fuzziness is provided for, though the fuzziness must be kept much smaller than the sphere radius for meaningful results.
From the reference:
The "fuzziness" of the interface is defined by the parameter $\sigma_\text{fuzzy}$. The particle radius $R$ represents the radius of the particle where the scattering length density profile decreased to 1/2 of the core density. $\sigma_\text{fuzzy}$ is the width of the smeared particle surface; i.e., the standard deviation from the average height of the fuzzy interface. The inner regions of the microgel that display a higher density are described by the radial box profile extending to a radius of approximately $R_\text{box} \sim R - 2 \sigma$. The profile approaches zero as $R_\text{sans} \sim R + 2\sigma$.
For 2D data: The 2D scattering intensity is calculated in the same way as 1D, where the $q$ vector is defined as
$$ q = \sqrt{{q_x}^2 + {q_y}^2}
$$
References
#. M Stieger, J. S Pedersen, P Lindner, W Richtering, *Langmuir*, 20 (2004) 7283-7292
Authorship and Verification
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Created By | sasview |
Uploaded | Sept. 7, 2017, 3:56 p.m. |
Category | Sphere |
Score | 0 |
Verified | Verified by SasView Team on 07 Sep 2017 |
In Library | This model is included in the SasView library by default |
Files |
fuzzy_sphere.py fuzzy_sphere.c |
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