source: sasmodels/sasmodels/models/sphere.py @ 7e6bea81

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Last change on this file since 7e6bea81 was 7e6bea81, checked in by Paul Kienzle <pkienzle@…>, 8 years ago

sphere: tweak docs and add test cases

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[5d4777d]1r"""
[40a87fa]2For information about polarised and magnetic scattering, see
[9a4811a]3the :ref:`magnetism` documentation.
[19dcb933]4
5Definition
6----------
7
8The 1D scattering intensity is calculated in the following way (Guinier, 1955)
9
10.. math::
11
[eb69cce]12    I(q) = \frac{\text{scale}}{V} \cdot \left[
13        3V(\Delta\rho) \cdot \frac{\sin(qr) - qr\cos(qr))}{(qr)^3}
[19dcb933]14        \right]^2 + \text{background}
15
16where *scale* is a volume fraction, $V$ is the volume of the scatterer,
[7e6bea81]17$r$ is the radius of the sphere and *background* is the background level.
[49da079]18*sld* and *sld_solvent* are the scattering length densities (SLDs) of the
[7e6bea81]19scatterer and the solvent respectively, whose difference is $\Delta\rho$.
[19dcb933]20
21Note that if your data is in absolute scale, the *scale* should represent
22the volume fraction (which is unitless) if you have a good fit. If not,
23it should represent the volume fraction times a factor (by which your data
24might need to be rescaled).
25
26The 2D scattering intensity is the same as above, regardless of the
27orientation of $\vec q$.
28
29Validation
30----------
31
32Validation of our code was done by comparing the output of the 1D model
33to the output of the software provided by the NIST (Kline, 2006).
34
35
[eb69cce]36References
37----------
[19dcb933]38
39A Guinier and G. Fournet, *Small-Angle Scattering of X-Rays*,
40John Wiley and Sons, New York, (1955)
41
42*2013/09/09 and 2014/01/06 - Description reviewed by S King and P Parker.*
[5d4777d]43"""
44
[3c56da87]45from numpy import inf
[5d4777d]46
47name = "sphere"
[19dcb933]48title = "Spheres with uniform scattering length density"
[5d4777d]49description = """\
[49da079]50P(q)=(scale/V)*[3V(sld-sld_solvent)*(sin(qr)-qr cos(qr))
[eb69cce]51                /(qr)^3]^2 + background
52    r: radius of sphere
[19dcb933]53    V: The volume of the scatter
54    sld: the SLD of the sphere
[49da079]55    sld_solvent: the SLD of the solvent
[5d4777d]56"""
[a5d0d00]57category = "shape:sphere"
[5d4777d]58
[3e428ec]59#             ["name", "units", default, [lower, upper], "type","description"],
[42356c8]60parameters = [["sld", "1e-6/Ang^2", 1, [-inf, inf], "sld",
[3e428ec]61               "Layer scattering length density"],
[42356c8]62              ["sld_solvent", "1e-6/Ang^2", 6, [-inf, inf], "sld",
[3e428ec]63               "Solvent scattering length density"],
64              ["radius", "Ang", 50, [0, inf], "volume",
65               "Sphere radius"],
66             ]
[5d4777d]67
[ad90df9]68source = ["lib/sph_j1c.c", "lib/sphere_form.c"]
[5d4777d]69
70# No volume normalization despite having a volume parameter
71# This should perhaps be volume normalized?
72form_volume = """
[ad90df9]73    return sphere_volume(radius);
[5d4777d]74    """
75
76Iq = """
[49da079]77    return sphere_form(q, radius, sld, sld_solvent);
[5d4777d]78    """
79
80def ER(radius):
[c691551]81    """
[364d8f7]82    Return equivalent radius (ER)
[c691551]83    """
[5d4777d]84    return radius
85
[d547f16]86# VR defaults to 1.0
87
[3e428ec]88demo = dict(scale=1, background=0,
[49da079]89            sld=6, sld_solvent=1,
[3e428ec]90            radius=120,
91            radius_pd=.2, radius_pd_n=45)
[7e6bea81]92
93tests = [
94    [{}, 0.2, 0.726362],
95    [{"scale": 1., "background": 0., "sld": 6., "sld_solvent": 1.,
96      "radius": 120., "radius_pd": 0.2, "radius_pd_n":45},
97     0.2, 0.228843],
98    [{"radius": 120., "radius_pd": 0.2, "radius_pd_n":45}, "ER", 120.],
99    [{"radius": 120., "radius_pd": 0.2, "radius_pd_n":45}, "VR", 1.],
100]
101
102
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