source: sasmodels/sasmodels/models/gaussian_peak.py @ a5d0d00

core_shell_microgelscostrafo411magnetic_modelrelease_v0.94release_v0.95ticket-1257-vesicle-productticket_1156ticket_1265_superballticket_822_more_unit_tests
Last change on this file since a5d0d00 was a5d0d00, checked in by Paul Kienzle <pkienzle@…>, 9 years ago

doc fixups: add doc category to model def, convert equations to latex for barbell and bcc

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File size: 1.5 KB
Line 
1r"""
2This model describes a Gaussian shaped peak on a flat background
3
4.. image:: img/image198.PNG
5
6with the peak having height of *I0* centered at *q0* and having a standard deviation of *B*. The FWHM (full-width
7half-maximum) is 2.354 B.
8
9For 2D data: The 2D scattering intensity is calculated in the same way as 1D, where the *q* vector is defined as
10
11.. image:: img/image040.gif
12
13.. image:: img/image199.jpg
14
15*Figure. 1D plot using the default values (w/500 data points).*
16
17REFERENCE
18---------
19
20None.
21"""
22
23from numpy import pi, inf
24
25name = "gaussian_peak"
26title = "Gaussian shaped peak"
27description = """
28    Model describes a Gaussian shaped peak including a flat background
29    Provide F(q) = scale*exp( -1/2 *[(q-q0)/B]^2 )+ background
30"""
31category = "shape-independent"
32
33parameters = [
34#   [ "name", "units", default, [lower, upper], "type",
35#     "description" ],
36    [ "q0", "1/Ang", 0.05, [-inf,inf], "",
37      "Peak position" ],
38    [ "sigma", "1/Ang", 0.005, [-inf,inf], "",
39      "Peak width (standard deviation)" ],
40    ]
41
42
43# No volume normalization despite having a volume parameter
44# This should perhaps be volume normalized?
45form_volume = """
46    return 1.0;
47    """
48
49Iq = """
50    return exp(-0.5*pow((q - q0)/sigma,2.0));
51    """
52
53
54Iqxy = """
55    // never called since no orientation or magnetic parameters.
56    //return -1.0;
57    return Iq(sqrt(qx*qx + qy*qy), q0, sigma);
58    """
59
60
61# VR defaults to 1.0
62
63demo = dict(
64        scale=1, background=0,
65        q0 = 0.05, sigma = 0.005,
66        )
67oldname = "PeakGaussModel"
68oldpars = dict(sigma='B')
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