# source:sasmodels/sasmodels/models/pringle.py@2d81cfe

core_shell_microgelsmagnetic_modelticket-1257-vesicle-productticket_1156ticket_1265_superballticket_822_more_unit_tests
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1r"""
2Definition
3----------
4
5The form factor for this bent disc is essentially that of a hyperbolic
6paraboloid and calculated as
7
8.. math::
9
10    P(q) = (\Delta \rho )^2 V \int^{\pi/2}_0 d\psi \sin{\psi} sinc^2
11    \left( \frac{qd\cos{\psi}}{2} \right)
12    \left[ \left( S^2_0+C^2_0\right) + 2\sum_{n=1}^{\infty}
13     \left( S^2_n+C^2_n\right) \right]
14
15where
16
17.. math::
18
19    C_n = \frac{1}{r^2}\int^{R}_{0} r dr\cos(qr^2\alpha \cos{\psi})
20    J_n\left( qr^2\beta \cos{\psi}\right)
21    J_{2n}\left( qr \sin{\psi}\right)
22
23.. math::
24
25    S_n = \frac{1}{r^2}\int^{R}_{0} r dr\sin(qr^2\alpha \cos{\psi})
26    J_n\left( qr^2\beta \cos{\psi}\right)
27    J_{2n}\left( qr \sin{\psi}\right)
28
29and $\Delta \rho \text{ is } \rho_{pringle}-\rho_{solvent}$, $V$ is the volume of
30the disc, $\psi$ is the angle between the normal to the disc and the q vector,
31$d$ and $R$ are the "pringle" thickness and radius respectively, $\alpha$ and
32$\beta$ are the two curvature parameters, and $J_n$ is the n\ :sup:th order
33Bessel function of the first kind.
34
35.. figure:: img/pringles_fig1.png
36
37    Schematic of model shape (Graphic from Matt Henderson, matt@matthen.com)
38
39Reference
40---------
41
42Karen Edler, Universtiy of Bath, Private Communication. 2012.
43Derivation by Stefan Alexandru Rautu.
44
45**Author:** Andrew Jackson **on:** 2008
46
48
49**Last Reviewed by:** Andrew Jackson **on:** September 26, 2016
50"""
51
52import numpy as np
53from numpy import inf, pi
54
55name = "pringle"
56title = "The Pringle model provides the form factor, $P(q)$, for a 'pringle' \
57or 'saddle-shaped' disc that is bent in two directions."
58description = """\
59
60"""
61category = "shape:cylinder"
62
64#   ["name", "units", default, [lower, upper], "type","description"],
65parameters = [
67    ["thickness",   "Ang",         10.0,   [0, inf],    "volume", "Thickness of pringle"],
68    ["alpha",       "",            0.001,  [-inf, inf], "volume", "Curvature parameter alpha"],
69    ["beta",        "",            0.02,   [-inf, inf], "volume", "Curvature paramter beta"],
70    ["sld", "1e-6/Ang^2",  1.0,    [-inf, inf], "sld", "Pringle sld"],
71    ["sld_solvent", "1e-6/Ang^2",  6.3,    [-inf, inf], "sld", "Solvent sld"]
72    ]
74
75
76source = ["lib/polevl.c", "lib/sas_J0.c", "lib/sas_J1.c", \
77          "lib/sas_JN.c", "lib/gauss76.c", "pringle.c"]
78
80    """
82    """
83    ddd = 0.75 * radius * (2 * radius * thickness + (thickness + radius) \
84                           * (thickness + pi * radius))
85    return 0.5 * (ddd) ** (1. / 3.)
86
87def random():
88    alpha, beta = 10**np.random.uniform(-1, 1, size=2)
90    thickness = 10**np.random.uniform(0.7, 2)
91    pars = dict(
93        thickness=thickness,
94        alpha=alpha,
95        beta=beta,
96    )
97    return pars
98
99tests = [
100    [{'scale' : 1.0,
102      'thickness': 10.0,
103      'alpha': 0.001,
104      'beta': 0.02,
105      'sld': 1.0,
106      'sld_solvent': 6.3,
107      'background': 0.001,
108     }, 0.1, 9.87676],
109
110    [{'scale' : 1.0,
112      'thickness': 10.0,
113      'alpha': 0.001,
114      'beta': 0.02,
115      'sld': 1.0,
116      'sld_solvent': 6.3,
117      'background': 0.001,
118     }, 0.01, 290.56723],
119
120    [{'scale' : 1.0,