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LSST Applications g013ef56533+b8d55c8942,g083dd6704c+a047e97985,g199a45376c+0ba108daf9,g1fd858c14a+7a3b874d60,g210f2d0738+7416ca6900,g262e1987ae+1d557ba9a3,g29ae962dfc+519d34895e,g2cef7863aa+aef1011c0b,g30d7c61c20+36d16ea71a,g35bb328faa+8c5ae1fdc5,g3fd5ace14f+cb326ad149,g47891489e3+f459a6810c,g53246c7159+8c5ae1fdc5,g54cd7ddccb+890c8e1e5d,g5a60e81ecd+6240c63dbc,g64539dfbff+7416ca6900,g67b6fd64d1+f459a6810c,g6ebf1fc0d4+8c5ae1fdc5,g74acd417e5+0bae3c876a,g786e29fd12+668abc6043,g87389fa792+8856018cbb,g89139ef638+f459a6810c,g8d7436a09f+dee7680868,g8ea07a8fe4+81eaaadc04,g90f42f885a+34c0557caf,g97be763408+14b8164b5b,g98a1a72a9c+8389601a76,g98df359435+fff771c62d,gb8cb2b794d+6728931916,gbf99507273+8c5ae1fdc5,gc2a301910b+7416ca6900,gca7fc764a6+f459a6810c,gd7ef33dd92+f459a6810c,gdab6d2f7ff+0bae3c876a,ge410e46f29+f459a6810c,ge41e95a9f2+7416ca6900,geaed405ab2+e3b4b2a692,gf9a733ac38+8c5ae1fdc5,w.2025.43
LSST Data Management Base Package
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A Parametric that can manage Parameter gradients and return Gaussians. More...
#include <parametricmodel.h>
Public Member Functions | |
| virtual void | add_extra_param_map (const Channel &channel, ExtraParamMap &map_extra, const GradParamMap &map_grad, ParameterMap &offsets) const =0 |
| Add extra Parameter indices to a map. | |
| virtual void | add_extra_param_factors (const Channel &channel, ExtraParamFactors &factors) const =0 |
| Add extra Parameter gradient factors to an existing vector. | |
| virtual void | add_grad_param_map (const Channel &channel, GradParamMap &map, ParameterMap &offsets) const =0 |
| Add Parameter gradient indices to an existing map. | |
| virtual void | add_grad_param_factors (const Channel &channel, GradParamFactors &factors) const =0 |
| Add Parameter gradient factors to an existing map. | |
| virtual void | set_extra_param_factors (const Channel &channel, ExtraParamFactors &factors, size_t index) const =0 |
| Set extra Parameter gradient factors in an existing map. | |
| virtual void | set_grad_param_factors (const Channel &channel, GradParamFactors &factors, size_t index) const =0 |
| Set Parameter gradient factors in an existing map. | |
| virtual std::unique_ptr< const lsst::gauss2d::Gaussians > | get_gaussians (const Channel &channel) const =0 |
| Return the vector of Gaussian sub-components controlled by this model. | |
| virtual size_t | get_n_gaussians (const Channel &channel) const =0 |
| Return the number of Gaussian sub-components controlled by this model. | |
| virtual ParamRefs & | get_parameters (ParamRefs ¶ms, ParamFilter *filter=nullptr) const =0 |
| Add Parameter refs matching the filter to a vector, in order. | |
| virtual ParamCRefs & | get_parameters_const (ParamCRefs ¶ms, ParamFilter *filter=nullptr) const =0 |
| Same as get_parameters(), but for const refs. | |
| ParamRefs | get_parameters_new (ParamFilter *filter=nullptr) const |
| Same as get_parameters(), but returning a new vector. | |
| ParamCRefs | get_parameters_const_new (ParamFilter *filter=nullptr) const |
| Same as get_parameters_const(), but returning a new vector. | |
| virtual std::string | repr (bool name_keywords=false, std::string_view namespace_separator=CC_NAMESPACE_SEPARATOR) const =0 |
| Return a full, callable string representation of this. | |
| virtual std::string | str () const =0 |
| Return a brief, human-readable string representation of this. | |
Static Public Member Functions | |
| static std::string_view | null_str (const std::string_view &namespace_separator) |
Static Public Attributes | |
| static constexpr std::string_view | CC_NAMESPACE_SEPARATOR = "::" |
| The C++ namespace separator. | |
| static constexpr std::string_view | NULL_STR_GENERAL = "None" |
| static constexpr std::string_view | PY_NAMESPACE_SEPARATOR = "." |
A Parametric that can manage Parameter gradients and return Gaussians.
Definition at line 25 of file parametricmodel.h.
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pure virtual |
Add extra Parameter gradient factors to an existing vector.
| channel | The Channel to add factors for. |
| factors | The ExtraParamFactors to add to. |
Implemented in lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::SersicMixComponent, and lsst::gauss2d::fit::Source.
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pure virtual |
Add extra Parameter indices to a map.
| channel | The Channel to add indices for. |
| map_extra | The ExtraParamMap to add to. |
| map_grad | The completed GradParamMap. |
| offsets | A map of index offsets for Parameters that have already been added. |
Implemented in lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::SersicMixComponent, and lsst::gauss2d::fit::Source.
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pure virtual |
Add Parameter gradient factors to an existing map.
| channel | The Channel to add factors for. |
| factors | The GradParamFactors to add to. |
Implemented in lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::SersicMixComponent, and lsst::gauss2d::fit::Source.
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pure virtual |
Add Parameter gradient indices to an existing map.
| channel | The Channel to add indices for. |
| map | The map to add to. |
| offsets | A map of index offsets for Parameters that have already been added. |
Implemented in lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::SersicMixComponent, and lsst::gauss2d::fit::Source.
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pure virtual |
Return the vector of Gaussian sub-components controlled by this model.
Implemented in lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::SersicMixComponent, and lsst::gauss2d::fit::Source.
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pure virtual |
Return the number of Gaussian sub-components controlled by this model.
Implemented in lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::SersicMixComponent, and lsst::gauss2d::fit::Source.
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pure virtualinherited |
Add Parameter refs matching the filter to a vector, in order.
| params | The vector to add to. |
| filter | The filter to apply to this Object's parameters. |
Implemented in lsst::gauss2d::fit::CentroidParameters, lsst::gauss2d::fit::Data< T, I, M >, lsst::gauss2d::fit::Data< T, Image, Mask >, lsst::gauss2d::fit::Data< T, Image, Mask >, lsst::gauss2d::fit::EllipticalComponent, lsst::gauss2d::fit::FractionalIntegralModel, lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::GaussianParametricEllipse, lsst::gauss2d::fit::LinearIntegralModel, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::Observation< T, I, M >, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::SersicMixComponent, lsst::gauss2d::fit::SersicModelIntegral, lsst::gauss2d::fit::SersicParametricEllipse, and lsst::gauss2d::fit::Source.
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pure virtualinherited |
Same as get_parameters(), but for const refs.
Implemented in lsst::gauss2d::fit::CentroidParameters, lsst::gauss2d::fit::Data< T, I, M >, lsst::gauss2d::fit::Data< T, Image, Mask >, lsst::gauss2d::fit::Data< T, Image, Mask >, lsst::gauss2d::fit::EllipticalComponent, lsst::gauss2d::fit::FractionalIntegralModel, lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::GaussianParametricEllipse, lsst::gauss2d::fit::LinearIntegralModel, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::Observation< T, I, M >, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::SersicMixComponent, lsst::gauss2d::fit::SersicModelIntegral, lsst::gauss2d::fit::SersicParametricEllipse, and lsst::gauss2d::fit::Source.
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inlineinherited |
Same as get_parameters_const(), but returning a new vector.
Definition at line 33 of file parametric.h.
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inlineinherited |
Same as get_parameters(), but returning a new vector.
Definition at line 27 of file parametric.h.
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inlinestaticinherited |
Definition at line 49 of file object.h.
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pure virtualinherited |
Return a full, callable string representation of this.
| name_keywords | Whether to prefix arguments with "{name}=", where name is the arg name in the header (as with keyword arguments in Python). |
| namespace_separator | The string to use to delimit namespaces, i.e. :: in C++ and . in Python. |
Implemented in lsst::gauss2d::Centroid, lsst::gauss2d::CentroidData, lsst::gauss2d::CentroidValues, lsst::gauss2d::ConvolvedGaussian, lsst::gauss2d::ConvolvedGaussians, lsst::gauss2d::CoordinateSystem, lsst::gauss2d::Covariance, lsst::gauss2d::detail::GradientsExtra< t, Data, Indices >, lsst::gauss2d::Ellipse, lsst::gauss2d::EllipseData, lsst::gauss2d::EllipseMajor, lsst::gauss2d::EllipseValues, lsst::gauss2d::fit::CentroidParameters, lsst::gauss2d::fit::Channel, lsst::gauss2d::fit::Data< T, I, M >, lsst::gauss2d::fit::Data< T, Image, Mask >, lsst::gauss2d::fit::Data< T, Image, Mask >, lsst::gauss2d::fit::EllipticalComponent, lsst::gauss2d::fit::FractionalIntegralModel, lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::GaussianModelIntegral, lsst::gauss2d::fit::GaussianParametricEllipse, lsst::gauss2d::fit::GaussianPrior, lsst::gauss2d::fit::IntegralSize, lsst::gauss2d::fit::LinearIntegralModel, lsst::gauss2d::fit::LinearSersicMixInterpolator, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::Observation< T, I, M >, lsst::gauss2d::fit::ParametricGaussian1D, lsst::gauss2d::fit::PriorEvaluation, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::SersicEllipseData, lsst::gauss2d::fit::SersicMixComponent, lsst::gauss2d::fit::SersicMixValues, lsst::gauss2d::fit::SersicModelIntegral, lsst::gauss2d::fit::SersicParametricEllipse, lsst::gauss2d::fit::ShapePrior, lsst::gauss2d::fit::ShapePriorOptions, lsst::gauss2d::fit::Source, lsst::gauss2d::Gaussian, lsst::gauss2d::GaussianEvaluator< T, Data, Indices >, lsst::gauss2d::GaussianEvaluator< T, Image, Indices >, lsst::gauss2d::GaussianEvaluator< T, Image, Indices >, lsst::gauss2d::GaussianIntegral, lsst::gauss2d::GaussianIntegralValue, lsst::gauss2d::Gaussians, lsst::gauss2d::Image< T, C >, lsst::gauss2d::Image< bool, M >, lsst::gauss2d::Image< bool, M >, lsst::gauss2d::Image< idx_type, Indices >, lsst::gauss2d::Image< idx_type, Indices >, lsst::gauss2d::Image< T, Data >, lsst::gauss2d::Image< T, Data >, lsst::gauss2d::Image< t, Data >, lsst::gauss2d::Image< T, I >, lsst::gauss2d::Image< T, I >, lsst::gauss2d::Image< T, Image< T > >, lsst::gauss2d::Image< T, VectorImage< T > >, lsst::gauss2d::ImageArray< T, C >, lsst::gauss2d::ImageArray< double, Image >, lsst::gauss2d::ImageArray< double, Image >, lsst::gauss2d::ImageArray< T, Data >, lsst::gauss2d::ImageArray< T, Data >, and lsst::gauss2d::ImageArray< t, Data >.
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pure virtual |
Set extra Parameter gradient factors in an existing map.
| channel | The Channel to set factors for. |
| factors | The ExtraParamFactors to set factors for. |
| index | The index to begin setting factors at. |
Implemented in lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::SersicMixComponent, and lsst::gauss2d::fit::Source.
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pure virtual |
Set Parameter gradient factors in an existing map.
| channel | The Channel to set factors for. |
| factors | The GradParamFactors to set factors for. |
| index | The index to begin setting factors at. |
Implemented in lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::SersicMixComponent, and lsst::gauss2d::fit::Source.
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pure virtualinherited |
Return a brief, human-readable string representation of this.
Implemented in lsst::gauss2d::Centroid, lsst::gauss2d::CentroidData, lsst::gauss2d::CentroidValues, lsst::gauss2d::ConvolvedGaussian, lsst::gauss2d::ConvolvedGaussians, lsst::gauss2d::CoordinateSystem, lsst::gauss2d::Covariance, lsst::gauss2d::detail::GradientsExtra< t, Data, Indices >, lsst::gauss2d::Ellipse, lsst::gauss2d::EllipseData, lsst::gauss2d::EllipseMajor, lsst::gauss2d::EllipseValues, lsst::gauss2d::fit::CentroidParameters, lsst::gauss2d::fit::Channel, lsst::gauss2d::fit::Data< T, I, M >, lsst::gauss2d::fit::Data< T, Image, Mask >, lsst::gauss2d::fit::Data< T, Image, Mask >, lsst::gauss2d::fit::EllipticalComponent, lsst::gauss2d::fit::FractionalIntegralModel, lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::GaussianModelIntegral, lsst::gauss2d::fit::GaussianParametricEllipse, lsst::gauss2d::fit::GaussianPrior, lsst::gauss2d::fit::IntegralSize, lsst::gauss2d::fit::LinearIntegralModel, lsst::gauss2d::fit::LinearSersicMixInterpolator, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::Observation< T, I, M >, lsst::gauss2d::fit::ParametricGaussian1D, lsst::gauss2d::fit::PriorEvaluation, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::SersicEllipseData, lsst::gauss2d::fit::SersicMixComponent, lsst::gauss2d::fit::SersicMixValues, lsst::gauss2d::fit::SersicModelIntegral, lsst::gauss2d::fit::SersicParametricEllipse, lsst::gauss2d::fit::ShapePrior, lsst::gauss2d::fit::ShapePriorOptions, lsst::gauss2d::fit::Source, lsst::gauss2d::Gaussian, lsst::gauss2d::GaussianEvaluator< T, Data, Indices >, lsst::gauss2d::GaussianEvaluator< T, Image, Indices >, lsst::gauss2d::GaussianEvaluator< T, Image, Indices >, lsst::gauss2d::GaussianIntegral, lsst::gauss2d::GaussianIntegralValue, lsst::gauss2d::Gaussians, lsst::gauss2d::Image< T, C >, lsst::gauss2d::Image< bool, M >, lsst::gauss2d::Image< bool, M >, lsst::gauss2d::Image< idx_type, Indices >, lsst::gauss2d::Image< idx_type, Indices >, lsst::gauss2d::Image< T, Data >, lsst::gauss2d::Image< T, Data >, lsst::gauss2d::Image< t, Data >, lsst::gauss2d::Image< T, I >, lsst::gauss2d::Image< T, I >, lsst::gauss2d::Image< T, Image< T > >, lsst::gauss2d::Image< T, VectorImage< T > >, lsst::gauss2d::ImageArray< T, C >, lsst::gauss2d::ImageArray< double, Image >, lsst::gauss2d::ImageArray< double, Image >, lsst::gauss2d::ImageArray< T, Data >, lsst::gauss2d::ImageArray< T, Data >, and lsst::gauss2d::ImageArray< t, Data >.
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staticconstexprinherited |
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staticconstexprinherited |
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staticconstexprinherited |