source: sasview/sansmodels/src/c_models/binaryHS.cpp @ b11e127

/**
        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
 *
 */

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

extern "C" {
#include "libSphere.h"
}

BinaryHSModel :: BinaryHSModel() {

  l_radius     = Parameter(160.0, true);
  l_radius.set_min(0.0);
  s_radius    = Parameter(25.0, true);
  s_radius.set_min(0.0);
  vol_frac_ls  = Parameter(0.2);
  vol_frac_ss  = Parameter(0.1);
  ls_sld      = Parameter(3.5e-6);
  ss_sld     = Parameter(5e-7);
  solvent_sld   = Parameter(6.36e-6);
  background = Parameter(0.0);
}

/**
 * Function to evaluate 1D scattering function
 * The NIST IGOR library is used for the actual calculation.
 * @param q: q-value
 * @return: function value
 */
double BinaryHSModel :: operator()(double q) {
  double dp[8];

  // Fill parameter array for IGOR library
  // Add the background after averaging
  dp[0] = l_radius();
  dp[1] = s_radius();
  dp[2] = vol_frac_ls();
  dp[3] = vol_frac_ss();
  dp[4] = ls_sld();
  dp[5] = ss_sld();
  dp[6] = solvent_sld();
  dp[7] = 0.0;


  // Get the dispersion points for the large radius
  vector<WeightPoint> weights_l_radius;
  l_radius.get_weights(weights_l_radius);

  // Get the dispersion points for the small radius
  vector<WeightPoint> weights_s_radius;
  s_radius.get_weights(weights_s_radius);

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

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

    // Loop over small radius weight points
    for(int j=0; j< (int)weights_s_radius.size(); j++) {
      dp[1] = weights_s_radius[j].value;


      sum += weights_l_radius[i].weight *weights_s_radius[j].weight * BinaryHS(dp, q);
      norm += weights_l_radius[i].weight *weights_s_radius[j].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 BinaryHSModel :: 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 vesicle
 * @param q: q-value
 * @param phi: angle phi
 * @return: function value
 */
double BinaryHSModel :: evaluate_rphi(double q, double phi) {
  return (*this).operator()(q);
}

/**
 * Function to calculate effective radius
 * @return: effective radius value
 */
double BinaryHSModel :: calculate_ER() {
  //NOT implemented yet!!!
  return 0.0;
}
double BinaryHSModel :: calculate_VR() {
  return 1.0;
}