SourceXtractorPlusPlus  0.16
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CompactExponentialModel.icpp
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1 /*
2  * CompactExponentialModel.icpp
3  *
4  * Created on: Aug 19, 2019
5  * Author: mschefer
6  */
7 
8 namespace ModelFitting {
9 
10 template<typename ImageType>
11 CompactExponentialModel<ImageType>::CompactExponentialModel(
12  double sharp_radius,
13  std::shared_ptr<BasicParameter> i0, std::shared_ptr<BasicParameter> k,
14  std::shared_ptr<BasicParameter> x_scale, std::shared_ptr<BasicParameter> y_scale,
15  std::shared_ptr<BasicParameter> rotation, double width, double height,
16  std::shared_ptr<BasicParameter> x, std::shared_ptr<BasicParameter> y,
17  std::shared_ptr<BasicParameter> flux,
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_flux(flux)
22 {}
23 
24 template<typename ImageType>
25 double CompactExponentialModel<ImageType>::getValue(double x, double y) const {
26  ExponentialModelEvaluator 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.max_r_sqr = 1e30;
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 CompactExponentialModel<ImageType>::getRasterizedImage(double pixel_scale, std::size_t size_x, std::size_t size_y) const {
38  using Traits = ImageTraits<ImageType>;
39 
40  if (size_x % 2 == 0 || size_y % 2 == 0) {
41  throw Elements::Exception() << "Rasterized image dimensions must be odd numbers "
42  << "but got (" << size_x << ',' << size_y << ")";
43  }
44 
45  ImageType image = Traits::factory(size_x, size_y);
46 
47  auto combined_tranform = getCombinedTransform(pixel_scale);
48 
49  ExponentialModelEvaluator model_eval;
50  model_eval.transform = getCombinedTransform(pixel_scale);
51  model_eval.i0 = m_i0->getValue();
52  model_eval.k = m_k->getValue();
53  model_eval.max_r_sqr = getMaxRadiusSqr(size_x, size_y, combined_tranform);
54 
55  float area_correction = (1.0 / fabs(m_jacobian[0] * m_jacobian[3] - m_jacobian[1] * m_jacobian[2])) * pixel_scale * pixel_scale;
56 
57  for (int y = 0; y < (int)size_y; ++y) {
58  int dy = y - size_y / 2;
59  for (int x = 0; x < (int)size_x; ++x) {
60  int dx = x - size_x / 2;
61  if (dx * dx + dy * dy < m_sharp_radius_squared) {
62  Traits::at(image, x, y) = adaptiveSamplePixel(model_eval, dx, dy, 7, 0.01) * area_correction;
63  } else {
64  Traits::at(image, x, y) = model_eval.evaluateModel(dx, dy) * area_correction;
65  }
66  }
67  }
68 
69  renormalize(image, m_flux->getValue());
70 
71  return image;
72 }
73 
74 }
75