LSSTApplications
17.0+124,17.0+14,17.0+73,18.0.0+37,18.0.0+80,18.0.0-4-g68ffd23+4,18.1.0-1-g0001055+12,18.1.0-1-g03d53ef+5,18.1.0-1-g1349e88+55,18.1.0-1-g2505f39+44,18.1.0-1-g5315e5e+4,18.1.0-1-g5e4b7ea+14,18.1.0-1-g7e8fceb+4,18.1.0-1-g85f8cd4+48,18.1.0-1-g8ff0b9f+4,18.1.0-1-ga2c679d+1,18.1.0-1-gd55f500+35,18.1.0-10-gb58edde+2,18.1.0-11-g0997b02+4,18.1.0-13-gfe4edf0b+12,18.1.0-14-g259bd21+21,18.1.0-19-gdb69f3f+2,18.1.0-2-g5f9922c+24,18.1.0-2-gd3b74e5+11,18.1.0-2-gfbf3545+32,18.1.0-26-g728bddb4+5,18.1.0-27-g6ff7ca9+2,18.1.0-3-g52aa583+25,18.1.0-3-g8ea57af+9,18.1.0-3-gb69f684+42,18.1.0-3-gfcaddf3+6,18.1.0-32-gd8786685a,18.1.0-4-gf3f9b77+6,18.1.0-5-g1dd662b+2,18.1.0-5-g6dbcb01+41,18.1.0-6-gae77429+3,18.1.0-7-g9d75d83+9,18.1.0-7-gae09a6d+30,18.1.0-9-gc381ef5+4,w.2019.45
LSSTDataManagementBasePackage
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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 | ||
) |
Definition at line 1059 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 422 of file KernelSolution.cc.
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protectedinherited |
Not implemented.
Definition at line 462 of file KernelSolution.cc.
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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 1072 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 1138 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 |
Definition at line 68 of file KernelSolution.h.
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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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virtualinherited |
Definition at line 131 of file KernelSolution.cc.
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virtual |
Reimplemented from lsst::ip::diffim::StaticKernelSolution< InputT >.
Definition at line 1148 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.