LSST Applications 24.1.5,g02d81e74bb+fa3a7a026e,g180d380827+a53a32eff8,g2079a07aa2+86d27d4dc4,g2305ad1205+c0501b3732,g295015adf3+7d3e92f0ec,g2bbee38e9b+0e5473021a,g337abbeb29+0e5473021a,g33d1c0ed96+0e5473021a,g3a166c0a6a+0e5473021a,g3ddfee87b4+5dd1654d75,g48712c4677+3bf1020dcb,g487adcacf7+065c13d9cf,g50ff169b8f+96c6868917,g52b1c1532d+585e252eca,g591dd9f2cf+d7ac436cfb,g5a732f18d5+53520f316c,g64a986408d+fa3a7a026e,g858d7b2824+fa3a7a026e,g8a8a8dda67+585e252eca,g99cad8db69+a5a909b84f,g9ddcbc5298+9a081db1e4,ga1e77700b3+15fc3df1f7,ga8c6da7877+4cf350ccb2,gb0e22166c9+60f28cb32d,gba4ed39666+c2a2e4ac27,gbb8dafda3b+f991a0b59f,gc120e1dc64+9ccbfdb8be,gc28159a63d+0e5473021a,gcf0d15dbbd+5dd1654d75,gd96a1ce819+42fd0ee607,gdaeeff99f8+f9a426f77a,ge6526c86ff+0d71447b4b,ge79ae78c31+0e5473021a,gee10cc3b42+585e252eca,gff1a9f87cc+fa3a7a026e
LSST Data Management Base Package
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Public Types | Public Member Functions | List of all members
lsst::afw::geom::ellipses::BaseCore::GridTransform Class Referencefinal

A temporary-only expression object representing an lsst::geom::LinearTransform that maps the ellipse core to a unit circle. More...

#include <GridTransform.h>

Public Types

using DerivativeMatrix = Eigen::Matrix<double, 4, 3>
 Matrix type for derivative with respect to ellipse parameters.
 

Public Member Functions

 GridTransform (BaseCore const &input)
 Standard constructor.
 
 operator lsst::geom::LinearTransform () const
 Convert the proxy to an lsst::geom::LinearTransform.
 
lsst::geom::LinearTransform::Matrix getMatrix () const
 Return the transform matrix as an Eigen object.
 
DerivativeMatrix d () const
 Return the derivative of the transform with respect to input core.
 
double getDeterminant () const
 Return the determinant of the lsst::geom::LinearTransform.
 
lsst::geom::LinearTransform inverted () const
 Return the inverse of the lsst::geom::LinearTransform;.
 

Detailed Description

A temporary-only expression object representing an lsst::geom::LinearTransform that maps the ellipse core to a unit circle.

Definition at line 48 of file GridTransform.h.

Member Typedef Documentation

◆ DerivativeMatrix

Matrix type for derivative with respect to ellipse parameters.

Definition at line 51 of file GridTransform.h.

Constructor & Destructor Documentation

◆ GridTransform()

lsst::afw::geom::ellipses::BaseCore::GridTransform::GridTransform ( BaseCore const & input)
explicit

Standard constructor.

Definition at line 35 of file GridTransform.cc.

36 : _input(input), _eig(Quadrupole(input).getMatrix()) {}
lsst::geom::LinearTransform::Matrix getMatrix() const
Return the transform matrix as an Eigen object.

Member Function Documentation

◆ d()

BaseCore::GridTransform::DerivativeMatrix lsst::afw::geom::ellipses::BaseCore::GridTransform::d ( ) const

Return the derivative of the transform with respect to input core.

Definition at line 46 of file GridTransform.cc.

46 {
47 /*
48 Grid transform is easiest to differentiate in the ReducedShear/DeterminantRadius parametrization.
49 But we actually differentiate the inverse of the transform, and then use
50 $dM^{-1}/dt = -M^{-1} dM/dt M^{-1} to compute the derivative of the inverse.
51
52 The inverse of the grid transform in ReducedShear/DeterminantRadius is:
53 $\frac{r}{\sqrt{1-g^2}}(\sigma_x + g_1 \sigma_z + g2 \sigma_y)$, where $\sigma_i$ are the
54 Pauli spin matrices.
55 */
56 using C = Separable<ReducedShear, DeterminantRadius>;
57 C core;
58 Jacobian rhs = core.dAssign(_input);
59 double g1 = core.getE1();
60 double g2 = core.getE2();
61 double g = core.getEllipticity().getE();
62 double r = core.getRadius();
63 double beta = 1.0 - g * g;
64 double alpha = r / std::sqrt(beta);
65
66 Eigen::Matrix2d sigma_z, sigma_y;
67 sigma_z << 1.0, 0.0, 0.0, -1.0;
68 sigma_y << 0.0, 1.0, 1.0, 0.0;
69 Eigen::Matrix2d t = _eig.operatorSqrt();
70 Eigen::Matrix2d tInv = _eig.operatorInverseSqrt();
71 Eigen::Matrix2d dt_dg1 = t * g1 / beta + alpha * sigma_z;
72 Eigen::Matrix2d dt_dg2 = t * g2 / beta + alpha * sigma_y;
73 Eigen::Matrix2d dt_dr = t * (1.0 / r);
74 Eigen::Matrix2d dtInv_dg1 = -tInv * dt_dg1 * tInv;
75 Eigen::Matrix2d dtInv_dg2 = -tInv * dt_dg2 * tInv;
76 Eigen::Matrix2d dtInv_dr = -tInv * dt_dr * tInv;
77
79 mid(lsst::geom::LinearTransform::XX, C::E1) = dtInv_dg1(0, 0);
81 dtInv_dg1(0, 1);
82 mid(lsst::geom::LinearTransform::YY, C::E1) = dtInv_dg1(1, 1);
83 mid(lsst::geom::LinearTransform::XX, C::E2) = dtInv_dg2(0, 0);
85 dtInv_dg2(0, 1);
86 mid(lsst::geom::LinearTransform::YY, C::E2) = dtInv_dg2(1, 1);
87 mid(lsst::geom::LinearTransform::XX, C::RADIUS) = dtInv_dr(0, 0);
89 dtInv_dr(0, 1);
90 mid(lsst::geom::LinearTransform::YY, C::RADIUS) = dtInv_dr(1, 1);
91 return mid * rhs;
92}
Eigen::Matrix< double, 4, 3 > DerivativeMatrix
Matrix type for derivative with respect to ellipse parameters.
Eigen::Matrix3d Jacobian
Parameter Jacobian matrix type.
Definition BaseCore.h:64
T sqrt(T... args)

◆ getDeterminant()

double lsst::afw::geom::ellipses::BaseCore::GridTransform::getDeterminant ( ) const

Return the determinant of the lsst::geom::LinearTransform.

Definition at line 94 of file GridTransform.cc.

94{ return sqrt(1.0 / _eig.eigenvalues().prod()); }

◆ getMatrix()

lsst::geom::LinearTransform::Matrix lsst::afw::geom::ellipses::BaseCore::GridTransform::getMatrix ( ) const

Return the transform matrix as an Eigen object.

Definition at line 38 of file GridTransform.cc.

38 {
39 return _eig.operatorInverseSqrt();
40}

◆ inverted()

lsst::geom::LinearTransform lsst::afw::geom::ellipses::BaseCore::GridTransform::inverted ( ) const

Return the inverse of the lsst::geom::LinearTransform;.

Definition at line 96 of file GridTransform.cc.

96 {
97 return lsst::geom::LinearTransform(_eig.operatorSqrt());
98}
A 2D linear coordinate transformation.

◆ operator lsst::geom::LinearTransform()

lsst::afw::geom::ellipses::BaseCore::GridTransform::operator lsst::geom::LinearTransform ( ) const

Convert the proxy to an lsst::geom::LinearTransform.

Definition at line 42 of file GridTransform.cc.

42 {
43 return lsst::geom::LinearTransform(_eig.operatorInverseSqrt());
44}

The documentation for this class was generated from the following files: