LSSTApplications
19.0.0-14-gb0260a2+72efe9b372,20.0.0+7927753e06,20.0.0+8829bf0056,20.0.0+995114c5d2,20.0.0+b6f4b2abd1,20.0.0+bddc4f4cbe,20.0.0-1-g253301a+8829bf0056,20.0.0-1-g2b7511a+0d71a2d77f,20.0.0-1-g5b95a8c+7461dd0434,20.0.0-12-g321c96ea+23efe4bbff,20.0.0-16-gfab17e72e+fdf35455f6,20.0.0-2-g0070d88+ba3ffc8f0b,20.0.0-2-g4dae9ad+ee58a624b3,20.0.0-2-g61b8584+5d3db074ba,20.0.0-2-gb780d76+d529cf1a41,20.0.0-2-ged6426c+226a441f5f,20.0.0-2-gf072044+8829bf0056,20.0.0-2-gf1f7952+ee58a624b3,20.0.0-20-geae50cf+e37fec0aee,20.0.0-25-g3dcad98+544a109665,20.0.0-25-g5eafb0f+ee58a624b3,20.0.0-27-g64178ef+f1f297b00a,20.0.0-3-g4cc78c6+e0676b0dc8,20.0.0-3-g8f21e14+4fd2c12c9a,20.0.0-3-gbd60e8c+187b78b4b8,20.0.0-3-gbecbe05+48431fa087,20.0.0-38-ge4adf513+a12e1f8e37,20.0.0-4-g97dc21a+544a109665,20.0.0-4-gb4befbc+087873070b,20.0.0-4-gf910f65+5d3db074ba,20.0.0-5-gdfe0fee+199202a608,20.0.0-5-gfbfe500+d529cf1a41,20.0.0-6-g64f541c+d529cf1a41,20.0.0-6-g9a5b7a1+a1cd37312e,20.0.0-68-ga3f3dda+5fca18c6a4,20.0.0-9-g4aef684+e18322736b,w.2020.45
LSSTDataManagementBasePackage
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Fit spatial kernel using approximate fluxes for candidates, and solving a linear system of equations. More...
Classes | |
class | CoaddBoundedField |
struct | CoaddBoundedFieldElement |
Struct used to hold one Exposure's data in a CoaddBoundedField. More... | |
class | CoaddPsf |
CoaddPsf is the Psf derived to be used for non-PSF-matched Coadd images. More... | |
class | CoaddPsfControl |
class | Defect |
Encapsulate information about a bad portion of a detector. More... | |
class | DoubleGaussianPsf |
Represent a Psf as a circularly symmetrical double Gaussian. More... | |
class | evalChi2Visitor |
A class to pass around to all our PsfCandidates to evaluate the PSF fit's X^2. More... | |
class | ExposurePatch |
A convenience container for the exposure, peak and footprint that will be measured. More... | |
class | ImagePsf |
An intermediate base class for Psfs that use an image representation. More... | |
class | ImagePsfTrampoline |
"Trampoline" for ImagePsf to let it be used as a base class in Python. More... | |
class | KernelPsf |
A Psf defined by a Kernel. More... | |
class | KernelPsfFactory |
A PersistableFactory for KernelPsf and its subclasses. More... | |
struct | KernelPsfPersistenceHelper |
A read-only singleton struct containing the schema and key used in persistence for KernelPsf. More... | |
class | MinimizeChi2 |
class | PcaPsf |
Represent a PSF as a linear combination of PCA (== Karhunen-Loeve) basis functions. More... | |
class | PsfCandidate |
Class stored in SpatialCells for spatial Psf fitting. More... | |
class | PsfImagePca |
class | SingleGaussianPsf |
Represent a PSF as a circularly symmetrical Gaussian. More... | |
class | WarpedPsf |
A Psf class that maps an arbitrary Psf through a coordinate transformation. More... | |
Typedefs | |
typedef std::vector< Defect::Ptr >::const_iterator | DefectCIter |
Functions | |
std::shared_ptr< afw::image::TransmissionCurve const > | makeCoaddTransmissionCurve (std::shared_ptr< afw::geom::SkyWcs const > coaddWcs, afw::table::ExposureCatalog const &inputSensors) |
Create a TransmissionCurve that represents the effective throughput on a coadd. More... | |
template<typename MaskedImageT > | |
std::vector< std::shared_ptr< afw::detection::Footprint > > | findCosmicRays (MaskedImageT &mimage, afw::detection::Psf const &psf, double const bkgd, daf::base::PropertySet const &ps, bool const keep) |
Find cosmic rays in an Image, and mask and remove them. More... | |
template<typename ExposureT > | |
boost::shared_ptr< ExposurePatch< ExposureT > > | makeExposurePatch (boost::shared_ptr< ExposureT const > exp, boost::shared_ptr< afw::detection::Footprint const > foot, geom::Point2D const ¢er) |
Factory function for ExposurePatch. More... | |
template<typename ExposureT > | |
boost::shared_ptr< ExposurePatch< ExposureT > > | makeExposurePatch (boost::shared_ptr< ExposureT const > exp, afw::detection::Footprint const &standardFoot, geom::Point2D const &standardCenter, afw::geom::SkyWcs const &standardWcs) |
template<typename MaskedImageT > | |
void | interpolateOverDefects (MaskedImageT &mimage, afw::detection::Psf const &, std::vector< Defect::Ptr > &_badList, double fallbackValue, bool useFallbackValueAtEdge) |
Process a set of known bad pixels in an image. More... | |
template<typename PixelT > | |
std::shared_ptr< PsfCandidate< PixelT > > | makePsfCandidate (boost::shared_ptr< afw::table::SourceRecord > const &source, boost::shared_ptr< afw::image::Exposure< PixelT > > image) |
Return a PsfCandidate of the right sort. More... | |
template<typename PixelT > | |
std::pair< std::shared_ptr< afw::math::LinearCombinationKernel >, std::vector< double > > | 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 | countPsfCandidates (afw::math::SpatialCellSet const &psfCells, int const nStarPerCell) |
Count the number of candidates in use. More... | |
template<typename PixelT > | |
std::pair< bool, double > | 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 > | 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 ImageT > | |
double | subtractPsf (afw::detection::Psf const &psf, ImageT *data, double x, double y, double psfFlux=std::numeric_limits< double >::quiet_NaN()) |
template<typename Image > | |
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. More... | |
template<typename Image > | |
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. More... | |
PYBIND11_MODULE (psfCandidate, mod) | |
geom::Box2I | getOverallBBox (std::vector< boost::shared_ptr< afw::image::Image< double > >> const &imgVector) |
void | addToImage (boost::shared_ptr< afw::image::Image< double > > image, std::vector< boost::shared_ptr< afw::image::Image< double > >> const &imgVector, std::vector< double > const &weightVector) |
void | setSpatialParameters (afw::math::Kernel *kernel, std::vector< double > const &coeffs) |
Fit a Kernel's spatial variability from a set of stars. More... | |
void | setSpatialParameters (afw::math::Kernel *kernel, Eigen::VectorXd const &vec) |
Fit a Kernel's spatial variability from a set of stars. More... | |
template<typename MaskedImageT > | |
double | 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... | |
Fit spatial kernel using approximate fluxes for candidates, and solving a linear system of equations.
typedef std::vector<Defect::Ptr>::const_iterator lsst::meas::algorithms::DefectCIter |
void lsst::meas::algorithms::addToImage | ( | boost::shared_ptr< afw::image::Image< double > > | image, |
std::vector< boost::shared_ptr< afw::image::Image< double > >> const & | imgVector, | ||
std::vector< double > const & | weightVector | ||
) |
Definition at line 192 of file CoaddPsf.cc.
int lsst::meas::algorithms::countPsfCandidates | ( | afw::math::SpatialCellSet const & | psfCells, |
int const | nStarPerCell = -1 |
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) |
Count the number of candidates in use.
Definition at line 337 of file SpatialModelPsf.cc.
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.
The Kernel is a LinearCombinationKernel of the first nEigenComponents eigenImages
N.b. This is templated over the Pixel type of the science image
psfCells | A SpatialCellSet containing PsfCandidates |
dims | Dimensions of image |
xy0 | Origin of image |
nEigenComponents | number of eigen components to keep; <= 0 => infty |
spatialOrder | Order of spatial variation (cf. afw::math::PolynomialFunction2) |
ksize | Size of generated Kernel images |
nStarPerCell | max no. of stars per cell; <= 0 => infty |
constantWeight | should each star have equal weight in the fit? |
border | Border size for background subtraction |
Definition at line 193 of file SpatialModelPsf.cc.
std::vector< std::shared_ptr< afw::detection::Footprint > > lsst::meas::algorithms::findCosmicRays | ( | MaskedImageT & | mimage, |
afw::detection::Psf const & | psf, | ||
double const | bkgd, | ||
daf::base::PropertySet const & | ps, | ||
bool const | keep | ||
) |
Find cosmic rays in an Image, and mask and remove them.
In this loop, we look for strings of CRpixels on the same row and adjoining columns; each of these becomes a Span with a unique ID.
In this loop, we look for strings of CRpixels on the same row and adjoining columns; each of these becomes a Span with a unique ID.
mimage | Image to search |
psf | the Image's PSF |
bkgd | unsubtracted background of frame, DN |
ps | PropertySet directing the behavior |
keep | if true, don't remove the CRs |
Definition at line 315 of file CR.cc.
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.
kernel | the Kernel to fit |
image | the image to be fit |
pos | the position of the object |
Definition at line 1037 of file SpatialModelPsf.cc.
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.
kernel | the Kernel to fit |
image | the image to be fit |
pos | the position of the object |
Definition at line 1104 of file SpatialModelPsf.cc.
std::pair< bool, double > lsst::meas::algorithms::fitSpatialKernelFromPsfCandidates | ( | afw::math::Kernel * | kernel, |
afw::math::SpatialCellSet const & | psfCells, | ||
int const | nStarPerCell = -1 , |
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double const | tolerance = 1e-5 , |
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double const | lambda = 0.0 |
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) |
Fit spatial kernel using full-nonlinear optimization to estimate candidate amplitudes.
kernel | the Kernel to fit |
psfCells | A SpatialCellSet containing PsfCandidates |
nStarPerCell | max no. of stars per cell; <= 0 => infty |
tolerance | Tolerance; how close chi^2 should be to true minimum |
lambda | floor for variance is lambda*data |
Definition at line 592 of file SpatialModelPsf.cc.
std::pair< bool, double > lsst::meas::algorithms::fitSpatialKernelFromPsfCandidates | ( | afw::math::Kernel * | kernel, |
afw::math::SpatialCellSet const & | psfCells, | ||
bool const | doNonLinearFit, | ||
int const | nStarPerCell = -1 , |
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double const | tolerance = 1e-5 , |
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double const | lambda = 0.0 |
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) |
kernel | the Kernel to fit |
psfCells | A SpatialCellSet containing PsfCandidates |
doNonLinearFit | Use the full-up nonlinear fitter |
nStarPerCell | max no. of stars per cell; <= 0 => infty |
tolerance | Tolerance; how close chi^2 should be to true minimum |
lambda | floor for variance is lambda*data |
Definition at line 876 of file SpatialModelPsf.cc.
geom::Box2I lsst::meas::algorithms::getOverallBBox | ( | std::vector< boost::shared_ptr< afw::image::Image< double > >> const & | imgVector | ) |
Definition at line 179 of file CoaddPsf.cc.
void lsst::meas::algorithms::interpolateOverDefects | ( | MaskedImageT & | mimage, |
afw::detection::Psf const & | psf, | ||
std::vector< Defect::Ptr > & | _badList, | ||
double | fallbackValue = 0.0 , |
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bool | useFallbackValueAtEdge = false |
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) |
Process a set of known bad pixels in an image.
mimage | Image to patch |
psf | the Image's PSF |
_badList | List of Defects to patch |
fallbackValue | Value to fallback to if all else fails |
useFallbackValueAtEdge | Use the fallback value at the image's edge? |
std::shared_ptr< afw::image::TransmissionCurve const > lsst::meas::algorithms::makeCoaddTransmissionCurve | ( | std::shared_ptr< afw::geom::SkyWcs const > | coaddWcs, |
afw::table::ExposureCatalog const & | inputSensors | ||
) |
Create a TransmissionCurve that represents the effective throughput on a coadd.
[in] | coaddWcs | WCS that relates the coadd coordinate system to the sky. |
[in] | inputSensors | A catalog containing the WCSs, bounding boxes and polygons, coaddition weights (in a field called 'weight'), and TransmissionCurves of the sensor-level images that went into the coadd. |
NotFoundError | Thrown if the 'weight' field does not exist in the schema. |
InvalidParameterError | Thrown if one or more inputs do not have a TransmissionCurve or a Wcs (ValidPolygons may be null to indicate no spatial restrictions other than the bounding box). |
Definition at line 257 of file CoaddTransmissionCurve.cc.
boost::shared_ptr< ExposurePatch<ExposureT> > lsst::meas::algorithms::makeExposurePatch | ( | boost::shared_ptr< ExposureT const > | exp, |
afw::detection::Footprint const & | standardFoot, | ||
geom::Point2D const & | standardCenter, | ||
afw::geom::SkyWcs const & | standardWcs | ||
) |
Definition at line 98 of file ExposurePatch.h.
boost::shared_ptr< ExposurePatch<ExposureT> > lsst::meas::algorithms::makeExposurePatch | ( | boost::shared_ptr< ExposureT const > | exp, |
boost::shared_ptr< afw::detection::Footprint const > | foot, | ||
geom::Point2D const & | center | ||
) |
Factory function for ExposurePatch.
Definition at line 92 of file ExposurePatch.h.
std::shared_ptr<PsfCandidate<PixelT> > lsst::meas::algorithms::makePsfCandidate | ( | boost::shared_ptr< afw::table::SourceRecord > const & | source, |
boost::shared_ptr< afw::image::Exposure< PixelT > > | image | ||
) |
Return a PsfCandidate of the right sort.
Cf. std::make_pair
source | The detected Source |
image | The image wherein lies the object |
Definition at line 176 of file PsfCandidate.h.
lsst::meas::algorithms::PYBIND11_MODULE | ( | psfCandidate | , |
mod | |||
) |
Definition at line 77 of file psfCandidate.cc.
void lsst::meas::algorithms::setSpatialParameters | ( | afw::math::Kernel * | kernel, |
Eigen::VectorXd const & | vec | ||
) |
Fit a Kernel's spatial variability from a set of stars.
Definition at line 521 of file SpatialModelPsf.cc.
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.
Definition at line 500 of file SpatialModelPsf.cc.
double lsst::meas::algorithms::subtractPsf | ( | afw::detection::Psf const & | psf, |
ImageT * | data, | ||
double | x, | ||
double | y, | ||
double | psfFlux = std::numeric_limits< double >::quiet_NaN() |
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) |
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.
psf | the PSF to subtract |
data | Image to subtract PSF from |
x | column position |
y | row position |
psfFlux | object's PSF flux (if not NaN) |
Definition at line 976 of file SpatialModelPsf.cc.