LSST Applications g04e9c324dd+8c5ae1fdc5,g134cb467dc+b203dec576,g18429d2f64+358861cd2c,g199a45376c+0ba108daf9,g1fd858c14a+dd066899e3,g262e1987ae+ebfced1d55,g29ae962dfc+72fd90588e,g2cef7863aa+aef1011c0b,g35bb328faa+8c5ae1fdc5,g3fd5ace14f+b668f15bc5,g4595892280+3897dae354,g47891489e3+abcf9c3559,g4d44eb3520+fb4ddce128,g53246c7159+8c5ae1fdc5,g67b6fd64d1+abcf9c3559,g67fd3c3899+1f72b5a9f7,g74acd417e5+cb6b47f07b,g786e29fd12+668abc6043,g87389fa792+8856018cbb,g89139ef638+abcf9c3559,g8d7436a09f+bcf525d20c,g8ea07a8fe4+9f5ccc88ac,g90f42f885a+6054cc57f1,g97be763408+06f794da49,g9dd6db0277+1f72b5a9f7,ga681d05dcb+7e36ad54cd,gabf8522325+735880ea63,gac2eed3f23+abcf9c3559,gb89ab40317+abcf9c3559,gbf99507273+8c5ae1fdc5,gd8ff7fe66e+1f72b5a9f7,gdab6d2f7ff+cb6b47f07b,gdc713202bf+1f72b5a9f7,gdfd2d52018+8225f2b331,ge365c994fd+375fc21c71,ge410e46f29+abcf9c3559,geaed405ab2+562b3308c0,gf9a733ac38+8c5ae1fdc5,w.2025.35
LSST Data Management Base Package
Loading...
Searching...
No Matches
SpatialModelPsf.h
Go to the documentation of this file.
1// -*- LSST-C++ -*-
2#if !defined(LSST_MEAS_ALGORITHMS_SPATIALMODELPSF_H)
3#define LSST_MEAS_ALGORITHMS_SPATIALMODELPSF_H
4
5/*
6 * LSST Data Management System
7 * Copyright 2008, 2009, 2010 LSST Corporation.
8 *
9 * This product includes software developed by the
10 * LSST Project (http://www.lsst.org/).
11 *
12 * This program is free software: you can redistribute it and/or modify
13 * it under the terms of the GNU General Public License as published by
14 * the Free Software Foundation, either version 3 of the License, or
15 * (at your option) any later version.
16 *
17 * This program is distributed in the hope that it will be useful,
18 * but WITHOUT ANY WARRANTY; without even the implied warranty of
19 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
20 * GNU General Public License for more details.
21 *
22 * You should have received a copy of the LSST License Statement and
23 * the GNU General Public License along with this program. If not,
24 * see <http://www.lsstcorp.org/LegalNotices/>.
25 */
26
34#include <memory>
35#include <utility>
36#include <vector>
37
38#include "lsst/afw.h"
39#include "lsst/geom/Point.h"
43
44namespace lsst {
45namespace meas {
46namespace algorithms {
47
48template <typename PixelT>
49std::pair<std::shared_ptr<afw::math::LinearCombinationKernel>, std::vector<double> >
50createKernelFromPsfCandidates(afw::math::SpatialCellSet const& psfCells, geom::Extent2I const& dims,
51 geom::Point2I const& xy0, int const nEigenComponents, int const spatialOrder,
52 int const ksize, int const nStarPerCell = -1, bool const constantWeight = true,
53 int const border = 3);
54
55template <typename PixelT>
56int countPsfCandidates(afw::math::SpatialCellSet const& psfCells, int const nStarPerCell = -1);
57
58template <typename PixelT>
59std::pair<bool, double> fitSpatialKernelFromPsfCandidates(afw::math::Kernel* kernel,
60 afw::math::SpatialCellSet const& psfCells,
61 int const nStarPerCell = -1,
62 double const tolerance = 1e-5,
63 double const lambda = 0.0);
64template <typename PixelT>
65std::pair<bool, double> fitSpatialKernelFromPsfCandidates(
66 afw::math::Kernel* kernel, afw::math::SpatialCellSet const& psfCells, bool const doNonLinearFit,
67 int const nStarPerCell = -1, double const tolerance = 1e-5, double const lambda = 0.0);
68
69template <typename ImageT>
70double subtractPsf(afw::detection::Psf const& psf, ImageT* data, double x, double y,
72
73template <typename Image>
75 afw::math::LinearCombinationKernel const& kernel, Image const& image, geom::Point2D const& pos);
76
77template <typename Image>
79 afw::math::LinearCombinationKernel const& kernel, Image const& image, geom::Point2D const& pos);
80
81} // namespace algorithms
82} // namespace meas
83} // namespace lsst
84
85#endif
A polymorphic base class for representing an image's Point Spread Function.
Definition Psf.h:82
A kernel that is a linear combination of fixed basis kernels.
Definition Kernel.h:704
std::vector< std::shared_ptr< Kernel > > KernelList
Definition Kernel.h:462
Point< double, 2 > Point2D
Definition Point.h:324
Extent< int, 2 > Extent2I
Definition Extent.h:397
Point< int, 2 > Point2I
Definition Point.h:321
std::pair< std::shared_ptr< afw::math::LinearCombinationKernel >, std::vector< double > > createKernelFromPsfCandidates(afw::math::SpatialCellSet const &psfCells, geom::Extent2I const &dims, geom::Point2I const &xy0, int const nEigenComponents, int const spatialOrder, int const ksize, int const nStarPerCell=-1, bool const constantWeight=true, int const border=3)
Return a Kernel pointer and a list of eigenvalues resulting from analysing the provided SpatialCellSe...
int countPsfCandidates(afw::math::SpatialCellSet const &psfCells, int const nStarPerCell=-1)
Count the number of candidates in use.
std::pair< std::vector< double >, afw::math::KernelList > fitKernelParamsToImage(afw::math::LinearCombinationKernel const &kernel, Image const &image, geom::Point2D const &pos)
Fit a LinearCombinationKernel to an Image, allowing the coefficients of the components to vary.
std::pair< std::shared_ptr< afw::math::Kernel >, std::pair< double, double > > fitKernelToImage(afw::math::LinearCombinationKernel const &kernel, Image const &image, geom::Point2D const &pos)
Fit a LinearCombinationKernel to an Image, allowing the coefficients of the components to vary.
std::pair< bool, double > fitSpatialKernelFromPsfCandidates(afw::math::Kernel *kernel, afw::math::SpatialCellSet const &psfCells, int const nStarPerCell=-1, double const tolerance=1e-5, double const lambda=0.0)
Fit spatial kernel using full-nonlinear optimization to estimate candidate amplitudes.
double subtractPsf(afw::detection::Psf const &psf, ImageT *data, double x, double y, double psfFlux=std::numeric_limits< double >::quiet_NaN())
T quiet_NaN(T... args)
g2d::python::Image< double > Image
Definition test_image.cc:14