LSST Applications g070148d5b3+33e5256705,g0d53e28543+25c8b88941,g0da5cf3356+2dd1178308,g1081da9e2a+62d12e78cb,g17e5ecfddb+7e422d6136,g1c76d35bf8+ede3a706f7,g295839609d+225697d880,g2e2c1a68ba+cc1f6f037e,g2ffcdf413f+853cd4dcde,g38293774b4+62d12e78cb,g3b44f30a73+d953f1ac34,g48ccf36440+885b902d19,g4b2f1765b6+7dedbde6d2,g5320a0a9f6+0c5d6105b6,g56b687f8c9+ede3a706f7,g5c4744a4d9+ef6ac23297,g5ffd174ac0+0c5d6105b6,g6075d09f38+66af417445,g667d525e37+2ced63db88,g670421136f+2ced63db88,g71f27ac40c+2ced63db88,g774830318a+463cbe8d1f,g7876bc68e5+1d137996f1,g7985c39107+62d12e78cb,g7fdac2220c+0fd8241c05,g96f01af41f+368e6903a7,g9ca82378b8+2ced63db88,g9d27549199+ef6ac23297,gabe93b2c52+e3573e3735,gb065e2a02a+3dfbe639da,gbc3249ced9+0c5d6105b6,gbec6a3398f+0c5d6105b6,gc9534b9d65+35b9f25267,gd01420fc67+0c5d6105b6,geee7ff78d7+a14128c129,gf63283c776+ede3a706f7,gfed783d017+0c5d6105b6,w.2022.47
LSST Data Management Base Package
Loading...
Searching...
No Matches
Transformer.cc
Go to the documentation of this file.
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
28namespace lsst {
29namespace afw {
30namespace geom {
31namespace ellipses {
32
35 apply(*r);
36 return r;
37}
38
39void 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:429
int m
Definition: SpanSet.cc:48
table::Key< int > transform
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
Eigen::Matrix< double, 3, 4 > TransformDerivativeMatrix
Matrix type for derivative with respect to transform parameters.
Definition: Transformer.h:55
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
Transformer transform(lsst::geom::LinearTransform const &transform)
Return the transform that maps the ellipse to the unit circle.
Definition: Transformer.h:116
Eigen::Matrix3d Jacobian
Parameter Jacobian matrix type.
Definition: BaseCore.h:64
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
DerivativeMatrix d() const
Return the derivative of transform output ellipse with respect to input ellipse.
Definition: Transformer.cc:108
Eigen::Matrix< double, 5, 6 > TransformDerivativeMatrix
Matrix type for derivative with respect to transform parameters.
Definition: Transformer.h:92