source: sasview/src/sas/models/c_extension/c_models/lamellarFF_HG.cpp @ 35ec279

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Last change on this file since 35ec279 was 79492222, checked in by krzywon, 10 years ago

Changed the file and folder names to remove all SANS references.

  • Property mode set to 100644
File size: 3.2 KB
Line 
1/**
2        This software was developed by the University of Tennessee as part of the
3        Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
4        project funded by the US National Science Foundation.
5
6        If you use DANSE applications to do scientific research that leads to
7        publication, we ask that you acknowledge the use of the software with the
8        following sentence:
9
10        "This work benefited from DANSE software developed under NSF award DMR-0520547."
11
12        copyright 2008, University of Tennessee
13 */
14
15/**
16 * Scattering model classes
17 * The classes use the IGOR library found in
18 *   sansmodels/src/libigor
19 *
20 */
21
22#include <math.h>
23#include "parameters.hh"
24#include <stdio.h>
25using namespace std;
26#include "lamellarFF_HG.h"
27
28extern "C" {
29#include "libCylinder.h"
30}
31
32LamellarFFHGModel :: LamellarFFHGModel() {
33  scale      = Parameter(1.0);
34  t_length     = Parameter(15.0, true);
35  t_length.set_min(0.0);
36  h_thickness    = Parameter(10.0, true);
37  h_thickness.set_min(0.0);
38  sld_tail   = Parameter(4e-7);
39  sld_head  = Parameter(3e-6);
40  sld_solvent    = Parameter(6e-6);
41  background = Parameter(0.0);
42
43}
44
45/**
46 * Function to evaluate 1D scattering function
47 * The NIST IGOR library is used for the actual calculation.
48 * @param q: q-value
49 * @return: function value
50 */
51double LamellarFFHGModel :: operator()(double q) {
52  double dp[7];
53
54  // Fill parameter array for IGOR library
55  // Add the background after averaging
56  dp[0] = scale();
57  dp[1] = t_length();
58  dp[2] = h_thickness();
59  dp[3] = sld_tail();
60  dp[4] = sld_head();
61  dp[5] = sld_solvent();
62  dp[6] = 0.0;
63
64  // Get the dispersion points for the tail length
65  vector<WeightPoint> weights_t_length;
66  t_length.get_weights(weights_t_length);
67
68  // Get the dispersion points for the head thickness
69  vector<WeightPoint> weights_h_thickness;
70  h_thickness.get_weights(weights_h_thickness);
71
72  // Perform the computation, with all weight points
73  double sum = 0.0;
74  double norm = 0.0;
75
76  // Loop over semi axis A weight points
77  for(int i=0; i< (int)weights_t_length.size(); i++) {
78    dp[1] = weights_t_length[i].value;
79
80    for (int j=0; j< (int)weights_h_thickness.size(); j++){
81      dp[2] = weights_h_thickness[j].value;
82
83      sum += weights_t_length[i].weight* weights_h_thickness[j].weight*LamellarFF_HG(dp, q);
84      norm += weights_t_length[i].weight* weights_h_thickness[j].weight;
85    }
86
87  }
88  return sum/norm + background();
89}
90
91/**
92 * Function to evaluate 2D scattering function
93 * @param q_x: value of Q along x
94 * @param q_y: value of Q along y
95 * @return: function value
96 */
97
98double LamellarFFHGModel :: operator()(double qx, double qy) {
99  double q = sqrt(qx*qx + qy*qy);
100  return (*this).operator()(q);
101}
102
103/**
104 * Function to evaluate 2D scattering function
105 * @param pars: parameters of the lamellar
106 * @param q: q-value
107 * @param phi: angle phi
108 * @return: function value
109 */
110double LamellarFFHGModel :: evaluate_rphi(double q, double phi) {
111  return (*this).operator()(q);
112}
113/**
114 * Function to calculate effective radius
115 * @return: effective radius value
116 */
117double LamellarFFHGModel :: calculate_ER() {
118  //NOT implemented yet!!!
119  return 0.0;
120}
121double LamellarFFHGModel :: calculate_VR() {
122  return 1.0;
123}
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