LSST Applications 26.0.0,g0265f82a02+6660c170cc,g07994bdeae+30b05a742e,g0a0026dc87+17526d298f,g0a60f58ba1+17526d298f,g0e4bf8285c+96dd2c2ea9,g0ecae5effc+c266a536c8,g1e7d6db67d+6f7cb1f4bb,g26482f50c6+6346c0633c,g2bbee38e9b+6660c170cc,g2cc88a2952+0a4e78cd49,g3273194fdb+f6908454ef,g337abbeb29+6660c170cc,g337c41fc51+9a8f8f0815,g37c6e7c3d5+7bbafe9d37,g44018dc512+6660c170cc,g4a941329ef+4f7594a38e,g4c90b7bd52+5145c320d2,g58be5f913a+bea990ba40,g635b316a6c+8d6b3a3e56,g67924a670a+bfead8c487,g6ae5381d9b+81bc2a20b4,g93c4d6e787+26b17396bd,g98cecbdb62+ed2cb6d659,g98ffbb4407+81bc2a20b4,g9ddcbc5298+7f7571301f,ga1e77700b3+99e9273977,gae46bcf261+6660c170cc,gb2715bf1a1+17526d298f,gc86a011abf+17526d298f,gcf0d15dbbd+96dd2c2ea9,gdaeeff99f8+0d8dbea60f,gdb4ec4c597+6660c170cc,ge23793e450+96dd2c2ea9,gf041782ebf+171108ac67
LSST Data Management Base Package
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PhotometryTransform.h
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1// -*- LSST-C++ -*-
2/*
3 * This file is part of jointcal.
4 *
5 * Developed for the LSST Data Management System.
6 * This product includes software developed by the LSST Project
7 * (https://www.lsst.org).
8 * See the COPYRIGHT file at the top-level directory of this distribution
9 * for details of code ownership.
10 *
11 * This program is free software: you can redistribute it and/or modify
12 * it under the terms of the GNU General Public License as published by
13 * the Free Software Foundation, either version 3 of the License, or
14 * (at your option) any later version.
15 *
16 * This program is distributed in the hope that it will be useful,
17 * but WITHOUT ANY WARRANTY; without even the implied warranty of
18 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
19 * GNU General Public License for more details.
20 *
21 * You should have received a copy of the GNU General Public License
22 * along with this program. If not, see <https://www.gnu.org/licenses/>.
23 */
24
25#ifndef LSST_JOINTCAL_PHOTOMETRY_TRANSFORM_H
26#define LSST_JOINTCAL_PHOTOMETRY_TRANSFORM_H
27
28#include <iostream>
29#include <sstream>
30#include <memory>
31
32#include "Eigen/Core"
33#include "ndarray.h"
34
36#include "lsst/geom/Box.h"
37#include "lsst/geom/Point.h"
38#include "lsst/jointcal/Point.h"
39
40namespace lsst {
41namespace jointcal {
42
43class Point;
44
53public:
55 virtual double transform(double x, double y, double value) const = 0;
56
58 double transform(Point const &in, double value) const { return transform(in.x, in.y, value); }
59
61 virtual double transformError(double x, double y, double value, double valueErr) const = 0;
62
64 double transformError(Point const &in, double value, double valueErr) const {
65 return transformError(in.x, in.y, value, valueErr);
66 }
67
69 virtual void print(std::ostream &out) const = 0;
70
72 transform.print(s);
73 return s;
74 }
75
77 virtual std::size_t getNpar() const = 0;
78
87 virtual void offsetParams(Eigen::VectorXd const &delta) = 0;
88
91
100 virtual void computeParameterDerivatives(double x, double y, double value,
101 Eigen::Ref<Eigen::VectorXd> derivatives) const = 0;
102
104 virtual Eigen::VectorXd getParameters() const = 0;
105 virtual ~PhotometryTransform() = default;
106};
107
112public:
113 explicit PhotometryTransformSpatiallyInvariant(double value) : _value(value) {}
114
116 void print(std::ostream &out) const override {
117 out << "PhotometryTransformSpatiallyInvariant: " << std::setprecision(10) << _value;
118 }
119
121 std::size_t getNpar() const override { return 1; }
122
124 void offsetParams(Eigen::VectorXd const &delta) override { _value -= delta[0]; };
125
127 Eigen::VectorXd getParameters() const override {
128 Eigen::VectorXd parameters(1);
129 parameters[0] = _value;
130 return parameters;
131 }
132
133protected:
134 double getValue() const { return _value; }
135
136private:
138 double _value;
139};
140
148public:
149 explicit FluxTransformSpatiallyInvariant(double value = 1)
151
153 double transform(double x, double y, double value) const override { return value * getValue(); }
154
156 double transformError(double x, double y, double value, double valueErr) const override {
157 return getValue() * valueErr;
158 }
159
162 return std::make_shared<FluxTransformSpatiallyInvariant>(getValue());
163 }
164
166 void computeParameterDerivatives(double x, double y, double value,
167 Eigen::Ref<Eigen::VectorXd> derivatives) const override {
168 // the derivative of a spatially constant transform w.r.t. that value is just the value.
169 derivatives[0] = value;
170 }
171};
172
180public:
181 explicit MagnitudeTransformSpatiallyInvariant(double value = 0)
183
185 double transform(double x, double y, double mag) const override { return mag + getValue(); }
186
188 double transformError(double x, double y, double value, double valueErr) const override {
189 return valueErr;
190 }
191
194 return std::make_shared<MagnitudeTransformSpatiallyInvariant>(getValue());
195 }
196
198 void computeParameterDerivatives(double x, double y, double value,
199 Eigen::Ref<Eigen::VectorXd> derivatives) const override {
200 // the derivative of a spatially constant transform w.r.t. that value is 1.
201 derivatives[0] = 1;
202 }
203};
204
223public:
231 PhotometryTransformChebyshev(size_t order, geom::Box2D const &bbox, bool identity);
232
242 PhotometryTransformChebyshev(ndarray::Array<double, 2, 2> const &coefficients, geom::Box2D const &bbox);
243
245 double transformError(double x, double y, double value, double valueErr) const override { return 0; }
246
248 void print(std::ostream &out) const override { out << "PhotometryTransformChebyshev: " << _coefficients; }
249
251 std::size_t getNpar() const override { return _nParameters; }
252
254 void offsetParams(Eigen::VectorXd const &delta) override;
255
257 ndarray::Array<double, 2, 2> getCoefficients() const { return ndarray::copy(_coefficients); }
258
260 Eigen::VectorXd getParameters() const override;
261
262 ndarray::Size getOrder() const { return _order; }
263
264 geom::Box2D getBBox() const { return _bbox; }
265
267 double mean(geom::Box2D const &bbox) const;
269 double mean() const;
270
271 // Compute the integral of this function over a bounding-box (default to our bbox).
272 double integrate(geom::Box2D const &bbox) const;
274 double integrate() const;
275
276protected:
280 double computeChebyshev(double x, double y) const;
281
286 void computeChebyshevDerivatives(double x, double y, Eigen::Ref<Eigen::VectorXd> derivatives) const;
287
288private:
289 geom::Box2D _bbox; // the domain of this function
290 geom::AffineTransform _toChebyshevRange; // maps points from the bbox to [-1,1]x[-1,1]
291
292 ndarray::Array<double, 2, 2> _coefficients; // shape=(order+1, order+1)
293 ndarray::Size _order;
294 ndarray::Size _nParameters;
295
297 double oneIntegral(double x, double y) const;
298};
299
304public:
307
308 FluxTransformChebyshev(ndarray::Array<double, 2, 2> const &coefficients, geom::Box2D const &bbox)
310
312 double transform(double x, double y, double value) const override {
313 return value * computeChebyshev(x, y);
314 }
315
317 void computeParameterDerivatives(double x, double y, double value,
318 Eigen::Ref<Eigen::VectorXd> derivatives) const override {
319 computeChebyshevDerivatives(x, y, derivatives);
320 derivatives *= value;
321 }
322
325 return std::make_shared<FluxTransformChebyshev>(getCoefficients(), getBBox());
326 }
327};
328
333public:
336
337 MagnitudeTransformChebyshev(ndarray::Array<double, 2, 2> const &coefficients, geom::Box2D const &bbox)
339
341 double transform(double x, double y, double value) const override {
342 return value + computeChebyshev(x, y);
343 }
344
346 void computeParameterDerivatives(double x, double y, double value,
347 Eigen::Ref<Eigen::VectorXd> derivatives) const override {
348 // The derivatives here are independent of value
349 computeChebyshevDerivatives(x, y, derivatives);
350 }
351
354 return std::make_shared<FluxTransformChebyshev>(getCoefficients(), getBBox());
355 }
356};
357
358} // namespace jointcal
359} // namespace lsst
360
361#endif // LSST_JOINTCAL_PHOTOMETRY_TRANSFORM_H
AmpInfoBoxKey bbox
Definition Amplifier.cc:117
ndarray::Array< double const, 2, 2 > coefficients
int y
Definition SpanSet.cc:48
table::Key< int > transform
An affine coordinate transformation consisting of a linear transformation and an offset.
A floating-point coordinate rectangle geometry.
Definition Box.h:413
nth-order 2d Chebyshev photometry transform, times the input flux.
FluxTransformChebyshev(ndarray::Array< double, 2, 2 > const &coefficients, geom::Box2D const &bbox)
double transform(double x, double y, double value) const override
Return the transform of value at (x,y).
void computeParameterDerivatives(double x, double y, double value, Eigen::Ref< Eigen::VectorXd > derivatives) const override
Compute the derivatives with respect to the parameters (i.e.
std::shared_ptr< PhotometryTransform > clone() const override
return a copy (allocated by new) of the transformation.
FluxTransformChebyshev(size_t order, geom::Box2D const &bbox)
Photometric offset independent of position, defined as (fluxMag0)^-1.
double transform(double x, double y, double value) const override
Return the transform of value at (x,y).
double transformError(double x, double y, double value, double valueErr) const override
Return the transformed valueErr at Point(x,y).
void computeParameterDerivatives(double x, double y, double value, Eigen::Ref< Eigen::VectorXd > derivatives) const override
Compute the derivatives with respect to the parameters (i.e.
std::shared_ptr< PhotometryTransform > clone() const override
return a copy (allocated by new) of the transformation.
nth-order 2d Chebyshev photometry transform, plus the input flux.
std::shared_ptr< PhotometryTransform > clone() const override
return a copy (allocated by new) of the transformation.
double transform(double x, double y, double value) const override
Return the transform of value at (x,y).
MagnitudeTransformChebyshev(size_t order, geom::Box2D const &bbox)
MagnitudeTransformChebyshev(ndarray::Array< double, 2, 2 > const &coefficients, geom::Box2D const &bbox)
void computeParameterDerivatives(double x, double y, double value, Eigen::Ref< Eigen::VectorXd > derivatives) const override
Compute the derivatives with respect to the parameters (i.e.
Photometric offset independent of position, defined as -2.5 * log(flux / fluxMag0).
void computeParameterDerivatives(double x, double y, double value, Eigen::Ref< Eigen::VectorXd > derivatives) const override
Compute the derivatives with respect to the parameters (i.e.
double transformError(double x, double y, double value, double valueErr) const override
Return the transformed valueErr at Point(x,y).
std::shared_ptr< PhotometryTransform > clone() const override
return a copy (allocated by new) of the transformation.
double transform(double x, double y, double mag) const override
Return the transform of value at (x,y).
nth-order 2d Chebyshev photometry transform.
void offsetParams(Eigen::VectorXd const &delta) override
Offset the parameters by some (negative) amount during fitting.
std::size_t getNpar() const override
Return the number of parameters (used to compute chisq)
void print(std::ostream &out) const override
Print the transform coefficients to stream.
Eigen::VectorXd getParameters() const override
Get a copy of the parameters of this model, in the same order as offsetParams.
void computeChebyshevDerivatives(double x, double y, Eigen::Ref< Eigen::VectorXd > derivatives) const
Set the derivatives of this polynomial at x,y.
ndarray::Array< double, 2, 2 > getCoefficients() const
Get a copy of the coefficients of the polynomials, as a 2d array (NOTE: layout is [y][x])
double transformError(double x, double y, double value, double valueErr) const override
Return the transformed valueErr at Point(x,y).
double computeChebyshev(double x, double y) const
Return the value of this polynomial at x,y.
A photometric transform, defined in terms of the input flux or magnitude.
virtual double transformError(double x, double y, double value, double valueErr) const =0
Return the transformed valueErr at Point(x,y).
virtual void computeParameterDerivatives(double x, double y, double value, Eigen::Ref< Eigen::VectorXd > derivatives) const =0
Compute the derivatives with respect to the parameters (i.e.
virtual double transform(double x, double y, double value) const =0
Return the transform of value at (x,y).
double transform(Point const &in, double value) const
Return the transformed value at Point(x,y).
virtual Eigen::VectorXd getParameters() const =0
Get a copy of the parameters of this model, in the same order as offsetParams.
virtual std::size_t getNpar() const =0
Return the number of parameters (used to compute chisq)
virtual std::shared_ptr< PhotometryTransform > clone() const =0
return a copy (allocated by new) of the transformation.
friend std::ostream & operator<<(std::ostream &s, PhotometryTransform const &transform)
virtual ~PhotometryTransform()=default
double transformError(Point const &in, double value, double valueErr) const
Return the transformed valueErr at Point(x,y).
virtual void offsetParams(Eigen::VectorXd const &delta)=0
Offset the parameters by some (negative) amount during fitting.
virtual void print(std::ostream &out) const =0
Print the transform coefficients to stream.
Photometry offset independent of position.
std::size_t getNpar() const override
Return the number of parameters (used to compute chisq)
void print(std::ostream &out) const override
Print the transform coefficients to stream.
Eigen::VectorXd getParameters() const override
Get a copy of the parameters of this model, in the same order as offsetParams.
void offsetParams(Eigen::VectorXd const &delta) override
Offset the parameters by some (negative) amount during fitting.
A point in a plane.
Definition Point.h:37
double x
coordinate
Definition Point.h:42
T setprecision(T... args)
table::Key< int > order