SourceXtractorPlusPlus  0.10
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CompactSersicModel.icpp
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1 /*
2  * CompactSersicModel.icpp
3  *
4  * Created on: Jul 25, 2019
5  * Author: mschefer
6  */
7 
8 #include <math.h>
9 
10 namespace ModelFitting {
11 
12 template<typename ImageType>
13 CompactSersicModel<ImageType>::CompactSersicModel(double sharp_radius,
14  std::shared_ptr<BasicParameter> i0, std::shared_ptr<BasicParameter> k, std::shared_ptr<BasicParameter> n,
15  std::shared_ptr<BasicParameter> x_scale, std::shared_ptr<BasicParameter> y_scale,
16  std::shared_ptr<BasicParameter> rotation, double width, double height,
17  std::shared_ptr<BasicParameter> x, std::shared_ptr<BasicParameter> y,
18  std::tuple<double, double, double, double> transform)
19  : CompactModelBase<ImageType>(x_scale, y_scale, rotation, width, height, x, y, transform),
20  m_sharp_radius_squared(float(sharp_radius * sharp_radius)),
21  m_i0(i0), m_k(k), m_n(n)
22 {}
23 
24 template<typename ImageType>
25 double CompactSersicModel<ImageType>::getValue(double x, double y) const {
26  SersicModelEvaluator model_eval;
27  model_eval.transform = getCombinedTransform(1.0);
28  model_eval.i0 = m_i0->getValue();
29  model_eval.k = m_k->getValue();
30  model_eval.n = m_n->getValue();
31 
32  auto area_correction = (1.0 / fabs(m_jacobian[0] * m_jacobian[3] - m_jacobian[1] * m_jacobian[2]));
33  return model_eval.evaluateModel(x, y) * area_correction;
34 }
35 
36 template<typename ImageType>
37 ImageType CompactSersicModel<ImageType>::getRasterizedImage(double pixel_scale, std::size_t size_x, std::size_t size_y) const {
38  //std::cout << "]] " << getX() << " " << getY() << "\n";
39  using Traits = ImageTraits<ImageType>;
40 
41  if (size_x % 2 == 0 || size_y % 2 == 0) {
42  throw Elements::Exception() << "Rasterized image dimensions must be odd numbers "
43  << "but got (" << size_x << ',' << size_y << ")";
44  }
45 
46  ImageType image = Traits::factory(size_x, size_y);
47 
48  SersicModelEvaluator model_eval;
49  model_eval.transform = getCombinedTransform(pixel_scale);
50  model_eval.i0 = m_i0->getValue();
51  model_eval.k = m_k->getValue();
52  model_eval.n = m_n->getValue();
53 
54  float area_correction = (1.0 / fabs(m_jacobian[0] * m_jacobian[3] - m_jacobian[1] * m_jacobian[2])) * pixel_scale * pixel_scale;
55 
56  for (int x=0; x<(int)size_x; ++x) {
57  int dx = x - size_x / 2;
58  for (int y=0; y<(int)size_y; ++y) {
59  int dy = y - size_y / 2;
60  if (dx*dx + dy*dy < m_sharp_radius_squared) {
61  Traits::at(image, x, y) = adaptiveSamplePixel(model_eval, dx, dy, 8, 1.01) * area_correction;
62  } else {
63  Traits::at(image, x, y) = model_eval.evaluateModel(dx, dy) * area_correction;
64  }
65  }
66  }
67 
68  return image;
69 }
70 
71 }
72