source: sasview/sansmodels/src/sans/models/c_models/lamellarPS_HG.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
 *      TODO: add 2D function
 */

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

extern "C" {
        #include "libCylinder.h"
        #include "lamellarPS_HG.h"
}

LamellarPSHGModel :: LamellarPSHGModel() {
        scale      = Parameter(1.0);
        spacing    = Parameter(40.0, true);
        spacing.set_min(0.0);
        deltaT     = Parameter(10.0, true);
        deltaT.set_min(0.0);
        deltaH     = Parameter(2.0, true);
        deltaH.set_min(0.0);
        sld_tail    = Parameter(4e-7);
        sld_head    = Parameter(2e-6);
        sld_solvent   = Parameter(6e-6);
        n_plates     = Parameter(30);
        caille = Parameter(0.001);
        background = Parameter(0.001);

}

/**
 * Function to evaluate 1D scattering function
 * The NIST IGOR library is used for the actual calculation.
 * @param q: q-value
 * @return: function value
 */
double LamellarPSHGModel :: operator()(double q) {
        double dp[10];

        // Fill parameter array for IGOR library
        // Add the background after averaging
        dp[0] = scale();
        dp[1] = spacing();
        dp[2] = deltaT();
        dp[3] = deltaH();
        dp[4] = sld_tail();
        dp[5] = sld_head();
        dp[6] = sld_solvent();
        dp[7] = n_plates();
        dp[8] = caille();
        dp[9] = 0.0;


        // Get the dispersion points for (deltaT) thickness of the tail
        vector<WeightPoint> weights_deltaT;
        deltaT.get_weights(weights_deltaT);

        // Get the dispersion points for (deltaH) thickness of the head
        vector<WeightPoint> weights_deltaH;
        deltaH.get_weights(weights_deltaH);

        // Get the dispersion points for spacing
        vector<WeightPoint> weights_spacing;
        spacing.get_weights(weights_spacing);

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

        // Loop over deltaT  weight points
        for(int i=0; i< (int)weights_deltaT.size(); i++) {
                dp[2] = weights_deltaT[i].value;

                // Loop over deltaH weight points
                for(int j=0; j< (int)weights_deltaH.size(); j++) {
                        dp[3] = weights_deltaH[j].value;
                        // Loop over spacing weight points
                        for(int k=0; k< (int)weights_spacing.size(); k++) {
                                dp[1] = weights_spacing[k].value;

                                sum += weights_deltaT[i].weight * weights_deltaH[j].weight *weights_spacing[k].weight
                                                                *LamellarPS_HG(dp, q);
                                norm += weights_deltaT[i].weight * weights_deltaH[j].weight * weights_spacing[k].weight;
                        }
                }
        }
        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 LamellarPSHGModel :: operator()(double qx, double qy) {
        double q = sqrt(qx*qx + qy*qy);
        return (*this).operator()(q);
}

/**
 * Function to evaluate 2D scattering function
 * @param pars: parameters of the lamellarPS_HG
 * @param q: q-value
 * @param phi: angle phi
 * @return: function value
 */
double LamellarPSHGModel :: evaluate_rphi(double q, double phi) {
        return (*this).operator()(q);
}
/**
 * Function to calculate effective radius
 * @return: effective radius value
 */
double LamellarPSHGModel :: calculate_ER() {
//NOT implemented yet!!!
}

/*
double LamellarPSHGModel :: operator()(double qx, double qy) {
        LamellarPSHGParameters dp;
        // Fill parameter array
        dp.scale      = scale();
        dp.spacing   = spacing();
        dp.deltaT  = deltaT();
        dp.deltaH = deltaH();
        dp.sld_tail   = sld_tail();
        dp.sld_head = sld_head();
        dp.sld_solvent   = sld_solvent();
        dp.n_plates = n_plates();
        dp.caille = caille();
        dp.background    = background();

        // Get the dispersion points for the deltaT
        vector<WeightPoint> weights_deltaT;
        deltaT.get_weights(weights_deltaT);

        // Get the dispersion points for the deltaH
        vector<WeightPoint> weights_deltaH;
        deltaH.get_weights(weights_deltaH);

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

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

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

                        sum += weights_deltaT[i].weight *weights_deltaH[j].weight *lamellarPS_HG_analytical_2DXY(&dp, qx, qy);
                        norm += weights_deltaT[i].weight * weights_deltaH[j].weight;
                }
        }
        return sum/norm + background();
}
*/