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lsst.ip.diffim
21.0.0-11-ga42c5b2b+86977b0b17
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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 |
| Enumerator | |
|---|---|
| EIGENVALUE | |
| SVD | |
Definition at line 45 of file KernelSolution.h.
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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.
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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 |
Not implemented.
Definition at line 464 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 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 |
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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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.