source: sasview/sansmodels/src/c_models/lorentzian.cpp @ 08648c0

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Last change on this file since 08648c0 was 101065a, checked in by Mathieu Doucet <doucetm@…>, 13 years ago

keep only header files in c_extensions and rename it 'include'

  • Property mode set to 100644
File size: 1.8 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#include <math.h>
16#include "parameters.hh"
17#include <stdio.h>
18using namespace std;
19#include "lorentzian.h"
20
21Lorentzian :: Lorentzian() {
22  scale  = Parameter(1.0, true);
23  gamma  = Parameter(1.0, true);
24  center = Parameter(0.0, true);
25}
26
27/**
28 * Function to evaluate 1D scattering function
29 * @param q: q-value
30 * @return: function value
31 */
32double Lorentzian :: operator()(double q) {
33  double delta2 = pow( (q-center()), 2);
34  return scale() / acos(-1.0) * 0.5*gamma() /
35      (delta2 + 0.25*gamma()*gamma());
36}
37
38/**
39 * Function to evaluate 2D scattering function
40 * @param q_x: value of Q along x
41 * @param q_y: value of Q along y
42 * @return: function value
43 */
44double Lorentzian :: operator()(double qx, double qy) {
45  return (*this).operator()(qx) * (*this).operator()(qy);
46}
47
48/**
49 * Function to evaluate 2D scattering function
50 * @param q: q-value
51 * @param phi: angle phi
52 * @return: function value
53 */
54double Lorentzian :: evaluate_rphi(double q, double phi) {
55  double qx = q*cos(phi);
56  double qy = q*sin(phi);
57  return (*this).operator()(qx, qy);
58}
59/**
60 * Function to calculate effective radius
61 * @return: effective radius value
62 */
63double Lorentzian :: calculate_ER() {
64  //NOT implemented yet!!!
65  return 0.0;
66}
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