LSST Applications  21.0.0-172-gfb10e10a+18fedfabac,22.0.0+297cba6710,22.0.0+80564b0ff1,22.0.0+8d77f4f51a,22.0.0+a28f4c53b1,22.0.0+dcf3732eb2,22.0.1-1-g7d6de66+2a20fdde0d,22.0.1-1-g8e32f31+297cba6710,22.0.1-1-geca5380+7fa3b7d9b6,22.0.1-12-g44dc1dc+2a20fdde0d,22.0.1-15-g6a90155+515f58c32b,22.0.1-16-g9282f48+790f5f2caa,22.0.1-2-g92698f7+dcf3732eb2,22.0.1-2-ga9b0f51+7fa3b7d9b6,22.0.1-2-gd1925c9+bf4f0e694f,22.0.1-24-g1ad7a390+a9625a72a8,22.0.1-25-g5bf6245+3ad8ecd50b,22.0.1-25-gb120d7b+8b5510f75f,22.0.1-27-g97737f7+2a20fdde0d,22.0.1-32-gf62ce7b1+aa4237961e,22.0.1-4-g0b3f228+2a20fdde0d,22.0.1-4-g243d05b+871c1b8305,22.0.1-4-g3a563be+32dcf1063f,22.0.1-4-g44f2e3d+9e4ab0f4fa,22.0.1-42-gca6935d93+ba5e5ca3eb,22.0.1-5-g15c806e+85460ae5f3,22.0.1-5-g58711c4+611d128589,22.0.1-5-g75bb458+99c117b92f,22.0.1-6-g1c63a23+7fa3b7d9b6,22.0.1-6-g50866e6+84ff5a128b,22.0.1-6-g8d3140d+720564cf76,22.0.1-6-gd805d02+cc5644f571,22.0.1-8-ge5750ce+85460ae5f3,master-g6e05de7fdc+babf819c66,master-g99da0e417a+8d77f4f51a,w.2021.48
LSST Data Management Base Package
Classes | Namespaces | Functions
SpatialModelPsf.cc File Reference

Implementation of code to determine spatial model of PSF. More...

#include <numeric>
#include "Eigen/Core"
#include "Eigen/Cholesky"
#include "Eigen/SVD"
#include "lsst/geom/Box.h"
#include "lsst/geom/Point.h"
#include "lsst/afw/detection/Footprint.h"
#include "lsst/afw/math/SpatialCell.h"
#include "lsst/afw/math/FunctionLibrary.h"
#include "lsst/meas/algorithms/ImagePca.h"
#include "lsst/meas/algorithms/SpatialModelPsf.h"
#include "lsst/meas/algorithms/PsfCandidate.h"

Go to the source code of this file.

Classes

class  lsst::meas::algorithms::evalChi2Visitor< PixelT >
 A class to pass around to all our PsfCandidates to evaluate the PSF fit's X^2. More...
 
class  lsst::meas::algorithms::MinimizeChi2< PixelT >
 

Namespaces

 lsst
 A base class for image defects.
 
 lsst::meas
 
 lsst::meas::algorithms
 Fit spatial kernel using approximate fluxes for candidates, and solving a linear system of equations.
 

Functions

template<typename PixelT >
std::pair< std::shared_ptr< afw::math::LinearCombinationKernel >, std::vector< double > > lsst::meas::algorithms::createKernelFromPsfCandidates (afw::math::SpatialCellSet const &psfCells, lsst::geom::Extent2I const &dims, lsst::geom::Point2I const &xy0, int const nEigenComponents, int const spatialOrder, int const ksize, int const nStarPerCell, bool const constantWeight, int const border)
 Return a Kernel pointer and a list of eigenvalues resulting from analysing the provided SpatialCellSet. More...
 
template<typename PixelT >
int lsst::meas::algorithms::countPsfCandidates (afw::math::SpatialCellSet const &psfCells, int const nStarPerCell)
 Count the number of candidates in use. More...
 
void lsst::meas::algorithms::setSpatialParameters (afw::math::Kernel *kernel, std::vector< double > const &coeffs)
 Fit a Kernel's spatial variability from a set of stars. More...
 
void lsst::meas::algorithms::setSpatialParameters (afw::math::Kernel *kernel, Eigen::VectorXd const &vec)
 Fit a Kernel's spatial variability from a set of stars. More...
 
template<typename PixelT >
std::pair< bool, double > lsst::meas::algorithms::fitSpatialKernelFromPsfCandidates (afw::math::Kernel *kernel, afw::math::SpatialCellSet const &psfCells, int const nStarPerCell, double const tolerance, double const lambda)
 Fit spatial kernel using full-nonlinear optimization to estimate candidate amplitudes. More...
 
template<typename PixelT >
std::pair< bool, double > lsst::meas::algorithms::fitSpatialKernelFromPsfCandidates (afw::math::Kernel *kernel, afw::math::SpatialCellSet const &psfCells, bool const doNonLinearFit, int const nStarPerCell=-1, double const tolerance=1e-5, double const lambda=0.0)
 
template<typename MaskedImageT >
double lsst::meas::algorithms::subtractPsf (afw::detection::Psf const &psf, MaskedImageT *data, double x, double y, double psfFlux)
 Subtract a PSF from an image at a given position. More...
 
template<typename Image >
std::pair< std::vector< double >, afw::math::KernelList > lsst::meas::algorithms::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. More...
 
template<typename Image >
std::pair< std::shared_ptr< afw::math::Kernel >, std::pair< double, double > > lsst::meas::algorithms::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. More...
 

Detailed Description

Implementation of code to determine spatial model of PSF.

Definition in file SpatialModelPsf.cc.