source: sasview/sansmodels/src/sans/models/c_models/ellipsoid.cpp @ 0b12abb5

/**
        This software was developed by the University of Tennessee as part of the
        Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
        project funded by the US National Science Foundation.

        If you use DANSE applications to do scientific research that leads to
        publication, we ask that you acknowledge the use of the software with the
        following sentence:

        "This work benefited from DANSE software developed under NSF award DMR-0520547."

        copyright 2008, University of Tennessee
 */

/**
 * Scattering model classes
 * The classes use the IGOR library found in
 *   sansmodels/src/libigor
 *
 *      TODO: refactor so that we pull in the old sansmodels.c_extensions
 */

#include <math.h>
#include "models.hh"
#include "parameters.hh"
#include <stdio.h>
using namespace std;

extern "C" {
        #include "libCylinder.h"
        #include "libStructureFactor.h"
        #include "ellipsoid.h"
}

EllipsoidModel :: EllipsoidModel() {
        scale      = Parameter(1.0);
        radius_a   = Parameter(20.0, true);
        radius_a.set_min(0.0);
        radius_b   = Parameter(400.0, true);
        radius_b.set_min(0.0);
        sldEll   = Parameter(4.e-6);
        sldSolv   = Parameter(1.e-6);
        background = Parameter(0.0);
        axis_theta  = Parameter(1.57, true);
        axis_phi    = Parameter(0.0, true);
}

/**
 * Function to evaluate 1D scattering function
 * The NIST IGOR library is used for the actual calculation.
 * @param q: q-value
 * @return: function value
 */
double EllipsoidModel :: operator()(double q) {
        double dp[6];

        // Fill parameter array for IGOR library
        // Add the background after averaging
        dp[0] = scale();
        dp[1] = radius_a();
        dp[2] = radius_b();
        dp[3] = sldEll();
        dp[4] = sldSolv();
        dp[5] = 0.0;

        // Get the dispersion points for the radius_a
        vector<WeightPoint> weights_rad_a;
        radius_a.get_weights(weights_rad_a);

        // Get the dispersion points for the radius_b
        vector<WeightPoint> weights_rad_b;
        radius_b.get_weights(weights_rad_b);

        // Perform the computation, with all weight points
        double sum = 0.0;
        double norm = 0.0;
        double vol = 0.0;

        // Loop over radius_a weight points
        for(int i=0; i<weights_rad_a.size(); i++) {
                dp[1] = weights_rad_a[i].value;

                // Loop over radius_b weight points
                for(int j=0; j<weights_rad_b.size(); j++) {
                        dp[2] = weights_rad_b[j].value;
                        //Un-normalize  by volume
                        sum += weights_rad_a[i].weight
                                * weights_rad_b[j].weight * EllipsoidForm(dp, q)
                                * pow(weights_rad_b[j].value,2) * weights_rad_a[i].value;

                        //Find average volume
                        vol += weights_rad_a[i].weight
                                * weights_rad_b[j].weight
                                * pow(weights_rad_b[j].value,2)
                                * weights_rad_a[i].value;
                        norm += weights_rad_a[i].weight
                                * weights_rad_b[j].weight;
                }
        }

        if (vol != 0.0 && norm != 0.0) {
                //Re-normalize by avg volume
                sum = sum/(vol/norm);}

        return sum/norm + background();
}

/**
 * Function to evaluate 2D scattering function
 * @param q_x: value of Q along x
 * @param q_y: value of Q along y
 * @return: function value
 */
double EllipsoidModel :: operator()(double qx, double qy) {
        EllipsoidParameters dp;
        // Fill parameter array
        dp.scale      = scale();
        dp.radius_a   = radius_a();
        dp.radius_b   = radius_b();
        dp.sldEll   = sldEll();
        dp.sldSolv   = sldSolv();
        dp.background = 0.0;
        dp.axis_theta = axis_theta();
        dp.axis_phi   = axis_phi();

        // Get the dispersion points for the radius_a
        vector<WeightPoint> weights_rad_a;
        radius_a.get_weights(weights_rad_a);

        // Get the dispersion points for the radius_b
        vector<WeightPoint> weights_rad_b;
        radius_b.get_weights(weights_rad_b);

        // Get angular averaging for theta
        vector<WeightPoint> weights_theta;
        axis_theta.get_weights(weights_theta);

        // Get angular averaging for phi
        vector<WeightPoint> weights_phi;
        axis_phi.get_weights(weights_phi);

        // Perform the computation, with all weight points
        double sum = 0.0;
        double norm = 0.0;
        double norm_vol = 0.0;
        double vol = 0.0;

        // Loop over radius weight points
        for(int i=0; i<weights_rad_a.size(); i++) {
                dp.radius_a = weights_rad_a[i].value;


                // Loop over length weight points
                for(int j=0; j<weights_rad_b.size(); j++) {
                        dp.radius_b = weights_rad_b[j].value;

                        // Average over theta distribution
                        for(int k=0; k<weights_theta.size(); k++) {
                                dp.axis_theta = weights_theta[k].value;

                                // Average over phi distribution
                                for(int l=0; l<weights_phi.size(); l++) {
                                        dp.axis_phi = weights_phi[l].value;
                                        //Un-normalize by volume
                                        double _ptvalue = weights_rad_a[i].weight
                                                * weights_rad_b[j].weight
                                                * weights_theta[k].weight
                                                * weights_phi[l].weight
                                                * ellipsoid_analytical_2DXY(&dp, qx, qy)
                                                * pow(weights_rad_b[j].value,2) * weights_rad_a[i].value;
                                        if (weights_theta.size()>1) {
                                                _ptvalue *= sin(weights_theta[k].value);
                                        }
                                        sum += _ptvalue;
                                        //Find average volume
                                        vol += weights_rad_a[i].weight
                                                * weights_rad_b[j].weight
                                                * pow(weights_rad_b[j].value,2) * weights_rad_a[i].value;
                                        //Find norm for volume
                                        norm_vol += weights_rad_a[i].weight
                                                * weights_rad_b[j].weight;

                                        norm += weights_rad_a[i].weight
                                                * weights_rad_b[j].weight
                                                * weights_theta[k].weight
                                                * weights_phi[l].weight;

                                }
                        }
                }
        }
        // Averaging in theta needs an extra normalization
        // factor to account for the sin(theta) term in the
        // integration (see documentation).
        if (weights_theta.size()>1) norm = norm / asin(1.0);

        if (vol != 0.0 && norm_vol != 0.0) {
                //Re-normalize by avg volume
                sum = sum/(vol/norm_vol);}

        return sum/norm + background();
}

/**
 * Function to evaluate 2D scattering function
 * @param pars: parameters of the cylinder
 * @param q: q-value
 * @param phi: angle phi
 * @return: function value
 */
double EllipsoidModel :: evaluate_rphi(double q, double phi) {
        double qx = q*cos(phi);
        double qy = q*sin(phi);
        return (*this).operator()(qx, qy);
}

/**
 * Function to calculate effective radius
 * @return: effective radius value
 */
double EllipsoidModel :: calculate_ER() {
        EllipsoidParameters dp;

        dp.radius_a = radius_a();
        dp.radius_b = radius_b();

        double rad_out = 0.0;

        // Perform the computation, with all weight points
        double sum = 0.0;
        double norm = 0.0;

        // Get the dispersion points for the major shell
        vector<WeightPoint> weights_radius_a;
        radius_a.get_weights(weights_radius_a);

        // Get the dispersion points for the minor shell
        vector<WeightPoint> weights_radius_b;
        radius_b.get_weights(weights_radius_b);

        // Loop over major shell weight points
        for(int i=0; i< (int)weights_radius_b.size(); i++) {
                dp.radius_b = weights_radius_b[i].value;
                for(int k=0; k< (int)weights_radius_a.size(); k++) {
                        dp.radius_a = weights_radius_a[k].value;
                        sum +=weights_radius_b[i].weight
                                * weights_radius_a[k].weight*DiamEllip(dp.radius_a,dp.radius_b)/2.0;
                        norm += weights_radius_b[i].weight* weights_radius_a[k].weight;
                }
        }
        if (norm != 0){
                //return the averaged value
                rad_out =  sum/norm;}
        else{
                //return normal value
                rad_out = DiamEllip(dp.radius_a,dp.radius_b)/2.0;}

        return rad_out;
}