LSST Applications  21.0.0+04719a4bac,21.0.0-1-ga51b5d4+f5e6047307,21.0.0-11-g2b59f77+a9c1acf22d,21.0.0-11-ga42c5b2+86977b0b17,21.0.0-12-gf4ce030+76814010d2,21.0.0-13-g1721dae+760e7a6536,21.0.0-13-g3a573fe+768d78a30a,21.0.0-15-g5a7caf0+f21cbc5713,21.0.0-16-g0fb55c1+b60e2d390c,21.0.0-19-g4cded4ca+71a93a33c0,21.0.0-2-g103fe59+bb20972958,21.0.0-2-g45278ab+04719a4bac,21.0.0-2-g5242d73+3ad5d60fb1,21.0.0-2-g7f82c8f+8babb168e8,21.0.0-2-g8f08a60+06509c8b61,21.0.0-2-g8faa9b5+616205b9df,21.0.0-2-ga326454+8babb168e8,21.0.0-2-gde069b7+5e4aea9c2f,21.0.0-2-gecfae73+1d3a86e577,21.0.0-2-gfc62afb+3ad5d60fb1,21.0.0-25-g1d57be3cd+e73869a214,21.0.0-3-g357aad2+ed88757d29,21.0.0-3-g4a4ce7f+3ad5d60fb1,21.0.0-3-g4be5c26+3ad5d60fb1,21.0.0-3-g65f322c+e0b24896a3,21.0.0-3-g7d9da8d+616205b9df,21.0.0-3-ge02ed75+a9c1acf22d,21.0.0-4-g591bb35+a9c1acf22d,21.0.0-4-g65b4814+b60e2d390c,21.0.0-4-gccdca77+0de219a2bc,21.0.0-4-ge8a399c+6c55c39e83,21.0.0-5-gd00fb1e+05fce91b99,21.0.0-6-gc675373+3ad5d60fb1,21.0.0-64-g1122c245+4fb2b8f86e,21.0.0-7-g04766d7+cd19d05db2,21.0.0-7-gdf92d54+04719a4bac,21.0.0-8-g5674e7b+d1bd76f71f,master-gac4afde19b+a9c1acf22d,w.2021.13
LSST Data Management Base Package
Transformer.cc
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1 // -*- lsst-c++ -*-
2 
3 /*
4  * LSST Data Management System
5  * Copyright 2008, 2009, 2010 LSST Corporation.
6  *
7  * This product includes software developed by the
8  * LSST Project (http://www.lsst.org/).
9  *
10  * This program is free software: you can redistribute it and/or modify
11  * it under the terms of the GNU General Public License as published by
12  * the Free Software Foundation, either version 3 of the License, or
13  * (at your option) any later version.
14  *
15  * This program is distributed in the hope that it will be useful,
16  * but WITHOUT ANY WARRANTY; without even the implied warranty of
17  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18  * GNU General Public License for more details.
19  *
20  * You should have received a copy of the LSST License Statement and
21  * the GNU General Public License along with this program. If not,
22  * see <http://www.lsstcorp.org/LegalNotices/>.
23  */
25 
26 #include "Eigen/LU"
27 
28 namespace lsst {
29 namespace afw {
30 namespace geom {
31 namespace ellipses {
32 
35  apply(*r);
36  return r;
37 }
38 
39 void BaseCore::Transformer::inPlace() { apply(input); }
40 
42  Eigen::Matrix2d m;
43  input._assignToQuadrupole(m(0, 0), m(1, 1), m(0, 1));
44  m(1, 0) = m(0, 1);
45  m = transform.getMatrix() * m * transform.getMatrix().transpose();
46  result._assignFromQuadrupole(m(0, 0), m(1, 1), m(0, 1));
47 }
48 
50  std::shared_ptr<BaseCore> output(input.clone());
51  Eigen::Matrix2d m;
52  Jacobian rhs = input._dAssignToQuadrupole(m(0, 0), m(1, 1), m(0, 1));
53  m(1, 0) = m(0, 1);
54  m = transform.getMatrix() * m * transform.getMatrix().transpose();
55  Jacobian lhs = output->_dAssignFromQuadrupole(m(0, 0), m(1, 1), m(0, 1));
56  Jacobian mid = Jacobian::Zero();
67  return lhs * mid * rhs;
68 }
69 
71  std::shared_ptr<BaseCore> output(input.clone());
72  Eigen::Matrix2d m;
73  input._assignToQuadrupole(m(0, 0), m(1, 1), m(0, 1));
74  Eigen::Matrix<double, 3, 4> mid = Eigen::Matrix<double, 3, 4>::Zero();
75  m(1, 0) = m(0, 1);
92  m = transform.getMatrix() * m * transform.getMatrix().transpose();
93  Jacobian lhs = output->_dAssignFromQuadrupole(m(0, 0), m(1, 1), m(0, 1));
94  return lhs * mid;
95 }
96 
98  std::shared_ptr<Ellipse> r = std::make_shared<Ellipse>(
99  input.getCore().transform(transform.getLinear()).copy(), transform(input.getCenter()));
100  return r;
101 }
102 
104  input.setCenter(transform(input.getCenter()));
105  input.getCore().transform(transform.getLinear()).inPlace();
106 }
107 
109  DerivativeMatrix r = DerivativeMatrix::Zero();
110  r.block<2, 2>(3, 3) = transform.getLinear().getMatrix();
111  r.block<3, 3>(0, 0) = input.getCore().transform(transform.getLinear()).d();
112  return r;
113 }
114 
116  TransformDerivativeMatrix r = TransformDerivativeMatrix::Zero();
117  r.block<2, 6>(3, 0) = transform.dTransform(input.getCenter());
118  r.block<3, 4>(0, 0) = input.getCore().transform(transform.getLinear()).dTransform();
119  return r;
120 }
121 } // namespace ellipses
122 } // namespace geom
123 } // namespace afw
124 } // namespace lsst
py::object result
Definition: _schema.cc:430
int m
Definition: SpanSet.cc:49
Eigen::Matrix< double, 3, 4 > TransformDerivativeMatrix
Matrix type for derivative with respect to transform parameters.
Definition: Transformer.h:55
DerivativeMatrix d() const
Return the derivative of transformed core with respect to input core.
Definition: Transformer.cc:49
void inPlace()
Transform the ellipse core in-place.
Definition: Transformer.cc:39
TransformDerivativeMatrix dTransform() const
Return the derivative of transformed core with respect to transform parameters.
Definition: Transformer.cc:70
lsst::geom::LinearTransform const & transform
transform object
Definition: Transformer.h:76
std::shared_ptr< BaseCore > copy() const
Return a new transformed ellipse core.
Definition: Transformer.cc:33
BaseCore & input
input core to be transformed
Definition: Transformer.h:75
Eigen::Matrix3d DerivativeMatrix
Matrix type for derivative with respect to input ellipse parameters.
Definition: Transformer.h:52
A base class for parametrizations of the "core" of an ellipse - the ellipticity and size.
Definition: BaseCore.h:55
std::shared_ptr< BaseCore > clone() const
Deep-copy the Core.
Definition: BaseCore.h:82
Eigen::Matrix3d Jacobian
Parameter Jacobian matrix type.
Definition: BaseCore.h:64
Transformer transform(lsst::geom::LinearTransform const &transform)
Return the transform that maps the ellipse to the unit circle.
Definition: Transformer.h:116
void inPlace()
Transform the ellipse in-place.
Definition: Transformer.cc:103
Eigen::Matrix< double, 5, 5 > DerivativeMatrix
Matrix type for derivative with respect to input ellipse parameters.
Definition: Transformer.h:89
TransformDerivativeMatrix dTransform() const
Return the derivative of transform output ellipse with respect to transform parameters.
Definition: Transformer.cc:115
std::shared_ptr< Ellipse > copy() const
Return a new transformed ellipse.
Definition: Transformer.cc:97
Eigen::Matrix< double, 5, 6 > TransformDerivativeMatrix
Matrix type for derivative with respect to transform parameters.
Definition: Transformer.h:92
DerivativeMatrix d() const
Return the derivative of transform output ellipse with respect to input ellipse.
Definition: Transformer.cc:108
A base class for image defects.