LSST Applications g0b6bd0c080+a72a5dd7e6,g1182afd7b4+2a019aa3bb,g17e5ecfddb+2b8207f7de,g1d67935e3f+06cf436103,g38293774b4+ac198e9f13,g396055baef+6a2097e274,g3b44f30a73+6611e0205b,g480783c3b1+98f8679e14,g48ccf36440+89c08d0516,g4b93dc025c+98f8679e14,g5c4744a4d9+a302e8c7f0,g613e996a0d+e1c447f2e0,g6c8d09e9e7+25247a063c,g7271f0639c+98f8679e14,g7a9cd813b8+124095ede6,g9d27549199+a302e8c7f0,ga1cf026fa3+ac198e9f13,ga32aa97882+7403ac30ac,ga786bb30fb+7a139211af,gaa63f70f4e+9994eb9896,gabf319e997+ade567573c,gba47b54d5d+94dc90c3ea,gbec6a3398f+06cf436103,gc6308e37c7+07dd123edb,gc655b1545f+ade567573c,gcc9029db3c+ab229f5caf,gd01420fc67+06cf436103,gd877ba84e5+06cf436103,gdb4cecd868+6f279b5b48,ge2d134c3d5+cc4dbb2e3f,ge448b5faa6+86d1ceac1d,gecc7e12556+98f8679e14,gf3ee170dca+25247a063c,gf4ac96e456+ade567573c,gf9f5ea5b4d+ac198e9f13,gff490e6085+8c2580be5c,w.2022.27
LSST Data Management Base Package
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#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.
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inherited |
Definition at line 35 of file KernelSolution.h.
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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.
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inherited |
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inherited |
Enumerator | |
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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 | ||
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Definition at line 1067 of file KernelSolution.cc.
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inlinevirtual |
Definition at line 157 of file KernelSolution.h.
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protectedinherited |
Set kernel after solution.
Definition at line 424 of file KernelSolution.cc.
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protectedinherited |
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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.
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inlineinherited |
Definition at line 65 of file KernelSolution.h.
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virtualinherited |
Definition at line 235 of file KernelSolution.cc.
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virtualinherited |
Definition at line 94 of file KernelSolution.cc.
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virtualinherited |
Definition at line 98 of file KernelSolution.cc.
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inlineinherited |
Definition at line 69 of file KernelSolution.h.
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virtualinherited |
Definition at line 215 of file KernelSolution.cc.
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virtualinherited |
Definition at line 243 of file KernelSolution.cc.
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inline |
Definition at line 159 of file KernelSolution.h.
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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.
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virtualinherited |
Definition at line 252 of file KernelSolution.cc.
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inlineinherited |
Definition at line 60 of file KernelSolution.h.
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virtualinherited |
Definition at line 223 of file KernelSolution.cc.
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inlineinherited |
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inlineinherited |
Definition at line 67 of file KernelSolution.h.
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inlineinherited |
Definition at line 66 of file KernelSolution.h.
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virtual |
Reimplemented from lsst::ip::diffim::StaticKernelSolution< InputT >.
Definition at line 1156 of file KernelSolution.cc.
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virtualinherited |
Definition at line 131 of file KernelSolution.cc.
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protectedinherited |
Derived least squares solution matrix.
Definition at line 75 of file KernelSolution.h.
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protectedinherited |
Derived differential background estimate.
Definition at line 110 of file KernelSolution.h.
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protectedinherited |
Derived least squares B vector.
Definition at line 74 of file KernelSolution.h.
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protectedinherited |
K_i x R.
Definition at line 105 of file KernelSolution.h.
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protectedinherited |
Background terms included in fit.
Definition at line 77 of file KernelSolution.h.
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protectedinherited |
Unique ID for object.
Definition at line 72 of file KernelSolution.h.
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protectedinherited |
Vectorized I.
Definition at line 106 of file KernelSolution.h.
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protectedinherited |
Inverse variance.
Definition at line 107 of file KernelSolution.h.
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protectedinherited |
Derived single-object convolution kernel.
Definition at line 109 of file KernelSolution.h.
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protectedinherited |
Derived kernel sum.
Definition at line 111 of file KernelSolution.h.
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protectedinherited |
Derived least squares M matrix.
Definition at line 73 of file KernelSolution.h.
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staticprotectedinherited |
Unique identifier for solution.
Definition at line 78 of file KernelSolution.h.
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protectedinherited |
Type of algorithm used to make solution.
Definition at line 76 of file KernelSolution.h.