source: sasview/sansmodels/src/sans/models/c_models/coreshellsphere.cpp @ 5be36bb

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Last change on this file since 5be36bb was 5eb9154, checked in by Jae Cho <jhjcho@…>, 15 years ago

calculation of the effective radius are added

  • Property mode set to 100644
File size: 4.1 KB
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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 "models.hh"
24#include "parameters.hh"
25#include <stdio.h>
26using namespace std;
27
28extern "C" {
29        #include "libSphere.h"
30        #include "core_shell.h"
31}
32
33CoreShellModel :: CoreShellModel() {
34        scale      = Parameter(1.0);
35        radius     = Parameter(60.0, true);
36        radius.set_min(0.0);
37        thickness  = Parameter(10.0, true);
38        thickness.set_min(0.0);
39        core_sld   = Parameter(1.e-6);
40        shell_sld  = Parameter(2.e-6);
41        solvent_sld = Parameter(3.e-6);
42        background = Parameter(0.0);
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 CoreShellModel :: operator()(double q) {
52        double dp[7];
53
54        // Fill parameter array for IGOR library
55        // Add the background after averaging
56
57        dp[0] = scale();
58        dp[1] = radius();
59        dp[2] = thickness();
60        dp[3] = core_sld();
61        dp[4] = shell_sld();
62        dp[5] = solvent_sld();
63        dp[6] = 0.0;
64
65
66        // Get the dispersion points for the radius
67        vector<WeightPoint> weights_rad;
68        radius.get_weights(weights_rad);
69
70        // Get the dispersion points for the thickness
71        vector<WeightPoint> weights_thick;
72        thickness.get_weights(weights_thick);
73
74        // Perform the computation, with all weight points
75        double sum = 0.0;
76        double norm = 0.0;
77
78        // Loop over radius weight points
79        for(int i=0; i<weights_rad.size(); i++) {
80                dp[1] = weights_rad[i].value;
81
82                // Loop over thickness weight points
83                for(int j=0; j<weights_thick.size(); j++) {
84                        dp[2] = weights_thick[j].value;
85
86                        sum += weights_rad[i].weight
87                                * weights_thick[j].weight * CoreShellForm(dp, q);
88                        norm += weights_rad[i].weight
89                                * weights_thick[j].weight;
90                }
91        }
92        return sum/norm + background();
93}
94
95/**
96 * Function to evaluate 2D scattering function
97 * @param q_x: value of Q along x
98 * @param q_y: value of Q along y
99 * @return: function value
100 */
101double CoreShellModel :: operator()(double qx, double qy) {
102        double q = sqrt(qx*qx + qy*qy);
103        return (*this).operator()(q);
104}
105
106/**
107 * Function to evaluate 2D scattering function
108 * @param pars: parameters of the sphere
109 * @param q: q-value
110 * @param phi: angle phi
111 * @return: function value
112 */
113double CoreShellModel :: evaluate_rphi(double q, double phi) {
114        return (*this).operator()(q);
115}
116/**
117 * Function to calculate effective radius
118 * @param pars: parameters of the sphere
119 * @return: effective radius value
120 */
121double CoreShellModel :: calculate_ER() {
122        CoreShellParameters dp;
123
124        dp.radius     = radius();
125        dp.thickness  = thickness();
126
127        double rad_out = 0.0;
128
129        // Perform the computation, with all weight points
130        double sum = 0.0;
131        double norm = 0.0;
132
133
134        // Get the dispersion points for the major shell
135        vector<WeightPoint> weights_thickness;
136        thickness.get_weights(weights_thickness);
137
138        // Get the dispersion points for the minor shell
139        vector<WeightPoint> weights_radius ;
140        radius.get_weights(weights_radius);
141
142        // Loop over major shell weight points
143        for(int j=0; j< (int)weights_thickness.size(); j++) {
144                dp.thickness = weights_thickness[j].value;
145                for(int k=0; k< (int)weights_radius.size(); k++) {
146                        dp.radius = weights_radius[k].value;
147                        sum += weights_thickness[j].weight
148                                * weights_radius[k].weight*(dp.radius+dp.thickness);
149                        norm += weights_thickness[j].weight* weights_radius[k].weight;
150                }
151        }
152        if (norm != 0){
153                //return the averaged value
154                rad_out =  sum/norm;}
155        else{
156                //return normal value
157                rad_out = (dp.radius+dp.thickness);}
158
159        return rad_out;
160}
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