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
|
#include <KernelSolution.h>
Public Types | |
typedef std::shared_ptr< RegularizedKernelSolution< InputT > > | Ptr |
enum | KernelSolvedBy { NONE = 0 , CHOLESKY_LDLT = 1 , CHOLESKY_LLT = 2 , LU = 3 , EIGENVECTOR = 4 } |
enum | ConditionNumberType { EIGENVALUE = 0 , SVD = 1 } |
typedef lsst::afw::math::Kernel::Pixel | PixelT |
typedef lsst::afw::image::Image< lsst::afw::math::Kernel::Pixel > | ImageT |
Public Member Functions | |
RegularizedKernelSolution (lsst::afw::math::KernelList const &basisList, bool fitForBackground, Eigen::MatrixXd const &hMat, lsst::daf::base::PropertySet const &ps) | |
virtual | ~RegularizedKernelSolution () |
void | solve () |
double | getLambda () |
double | estimateRisk (double maxCond) |
Eigen::MatrixXd | getM (bool includeHmat=true) |
virtual void | solve (Eigen::MatrixXd const &mMat, Eigen::VectorXd const &bVec) |
virtual void | build (lsst::afw::image::Image< InputT > const &templateImage, lsst::afw::image::Image< InputT > const &scienceImage, lsst::afw::image::Image< lsst::afw::image::VariancePixel > const &varianceEstimate) |
virtual std::shared_ptr< lsst::afw::math::Kernel > | getKernel () |
virtual std::shared_ptr< lsst::afw::image::Image< lsst::afw::math::Kernel::Pixel > > | makeKernelImage () |
virtual double | getBackground () |
virtual double | getKsum () |
virtual std::pair< std::shared_ptr< lsst::afw::math::Kernel >, double > | getSolutionPair () |
KernelSolvedBy | getSolvedBy () |
virtual double | getConditionNumber (ConditionNumberType conditionType) |
virtual double | getConditionNumber (Eigen::MatrixXd const &mMat, ConditionNumberType conditionType) |
Eigen::MatrixXd const & | getM () |
Eigen::VectorXd const & | getB () |
void | printM () |
void | printB () |
void | printA () |
int | getId () const |
Protected Member Functions | |
void | _setKernel () |
Set kernel after solution. More... | |
void | _setKernelUncertainty () |
Not implemented. More... | |
Protected Attributes | |
Eigen::MatrixXd | _cMat |
K_i x R. More... | |
Eigen::VectorXd | _iVec |
Vectorized I. More... | |
Eigen::VectorXd | _ivVec |
Inverse variance. More... | |
std::shared_ptr< lsst::afw::math::Kernel > | _kernel |
Derived single-object convolution kernel. More... | |
double | _background |
Derived differential background estimate. More... | |
double | _kSum |
Derived kernel sum. More... | |
int | _id |
Unique ID for object. More... | |
Eigen::MatrixXd | _mMat |
Derived least squares M matrix. More... | |
Eigen::VectorXd | _bVec |
Derived least squares B vector. More... | |
Eigen::VectorXd | _aVec |
Derived least squares solution matrix. More... | |
KernelSolvedBy | _solvedBy |
Type of algorithm used to make solution. More... | |
bool | _fitForBackground |
Background terms included in fit. More... | |
Static Protected Attributes | |
static int | _SolutionId = 0 |
Unique identifier for solution. More... | |
Definition at line 148 of file KernelSolution.h.
|
inherited |
Definition at line 35 of file KernelSolution.h.
|
inherited |
Definition at line 34 of file KernelSolution.h.
typedef std::shared_ptr<RegularizedKernelSolution<InputT> > lsst::ip::diffim::RegularizedKernelSolution< InputT >::Ptr |
Definition at line 150 of file KernelSolution.h.
|
inherited |
|
inherited |
Enumerator | |
---|---|
NONE | |
CHOLESKY_LDLT | |
CHOLESKY_LLT | |
LU | |
EIGENVECTOR |
Definition at line 37 of file KernelSolution.h.
lsst::ip::diffim::RegularizedKernelSolution< InputT >::RegularizedKernelSolution | ( | lsst::afw::math::KernelList const & | basisList, |
bool | fitForBackground, | ||
Eigen::MatrixXd const & | hMat, | ||
lsst::daf::base::PropertySet const & | ps | ||
) |
Definition at line 1067 of file KernelSolution.cc.
|
inlinevirtual |
Definition at line 157 of file KernelSolution.h.
|
protectedinherited |
Set kernel after solution.
Definition at line 424 of file KernelSolution.cc.
|
protectedinherited |
|
virtualinherited |
Definition at line 261 of file KernelSolution.cc.
double lsst::ip::diffim::RegularizedKernelSolution< InputT >::estimateRisk | ( | double | maxCond | ) |
Definition at line 1080 of file KernelSolution.cc.
|
inlineinherited |
Definition at line 65 of file KernelSolution.h.
|
virtualinherited |
Definition at line 235 of file KernelSolution.cc.
|
virtualinherited |
Definition at line 94 of file KernelSolution.cc.
|
virtualinherited |
Definition at line 98 of file KernelSolution.cc.
|
inlineinherited |
Definition at line 69 of file KernelSolution.h.
|
virtualinherited |
Definition at line 215 of file KernelSolution.cc.
|
virtualinherited |
Definition at line 243 of file KernelSolution.cc.
|
inline |
Definition at line 159 of file KernelSolution.h.
|
inlineinherited |
Definition at line 64 of file KernelSolution.h.
Eigen::MatrixXd lsst::ip::diffim::RegularizedKernelSolution< InputT >::getM | ( | bool | includeHmat = true | ) |
Definition at line 1146 of file KernelSolution.cc.
|
virtualinherited |
Definition at line 252 of file KernelSolution.cc.
|
inlineinherited |
Definition at line 60 of file KernelSolution.h.
|
virtualinherited |
Definition at line 223 of file KernelSolution.cc.
|
inlineinherited |
|
inlineinherited |
Definition at line 67 of file KernelSolution.h.
|
inlineinherited |
Definition at line 66 of file KernelSolution.h.
|
virtual |
Reimplemented from lsst::ip::diffim::StaticKernelSolution< InputT >.
Definition at line 1156 of file KernelSolution.cc.
|
virtualinherited |
Definition at line 131 of file KernelSolution.cc.
|
protectedinherited |
Derived least squares solution matrix.
Definition at line 75 of file KernelSolution.h.
|
protectedinherited |
Derived differential background estimate.
Definition at line 110 of file KernelSolution.h.
|
protectedinherited |
Derived least squares B vector.
Definition at line 74 of file KernelSolution.h.
|
protectedinherited |
K_i x R.
Definition at line 105 of file KernelSolution.h.
|
protectedinherited |
Background terms included in fit.
Definition at line 77 of file KernelSolution.h.
|
protectedinherited |
Unique ID for object.
Definition at line 72 of file KernelSolution.h.
|
protectedinherited |
Vectorized I.
Definition at line 106 of file KernelSolution.h.
|
protectedinherited |
Inverse variance.
Definition at line 107 of file KernelSolution.h.
|
protectedinherited |
Derived single-object convolution kernel.
Definition at line 109 of file KernelSolution.h.
|
protectedinherited |
Derived kernel sum.
Definition at line 111 of file KernelSolution.h.
|
protectedinherited |
Derived least squares M matrix.
Definition at line 73 of file KernelSolution.h.
|
staticprotectedinherited |
Unique identifier for solution.
Definition at line 78 of file KernelSolution.h.
|
protectedinherited |
Type of algorithm used to make solution.
Definition at line 76 of file KernelSolution.h.