lsst.meas.modelfit  13.0-11-g2fa83af+12
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Class Hierarchy
This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 123]
oCPersistable
|\Clsst::meas::modelfit::Mixture
oCPersistableFacade
|\Clsst::meas::modelfit::Mixture
oCCModelConfig
|oClsst.meas.modelfit.cmodel.cmodelContinued.CModelForcedConfig
|\Clsst.meas.modelfit.cmodel.cmodelContinued.CModelSingleFrameConfig
oCMutableMapping
|\Clsst.meas.modelfit.display.densityPlot.DensityPlot.LayerDict
oCForcedPlugin
|oClsst.meas.modelfit.cmodel.cmodelContinued.CModelForcedPlugin
|\Clsst.meas.modelfit.psf.psfContinued.GeneralShapeletPsfApproxForcedPlugin
oCForcedPluginConfig
|oClsst.meas.modelfit.cmodel.cmodelContinued.CModelForcedConfig
|\Clsst.meas.modelfit.psf.psfContinued.GeneralShapeletPsfApproxForcedConfig
oCSingleFramePlugin
|oClsst.meas.modelfit.cmodel.cmodelContinued.CModelSingleFramePlugin
|\Clsst.meas.modelfit.psf.psfContinued.GeneralShapeletPsfApproxSingleFramePlugin
oCSingleFramePluginConfig
|oClsst.meas.modelfit.cmodel.cmodelContinued.CModelSingleFrameConfig
|\Clsst.meas.modelfit.psf.psfContinued.GeneralShapeletPsfApproxSingleFrameConfig
oClsst::meas::modelfit::CModelAlgorithmMain public interface class for CModel algorithm
oClsst::meas::modelfit::CModelControlThe main control object for CModel, containing parameters for the final linear fit and aggregating the other control objects
oClsst::meas::modelfit::CModelResultMaster result object for CModel, containing results for the final linear fit and three nested CModelStageResult objects for the results of the previous stages
oClsst::meas::modelfit::CModelStageControlNested control object for CModel that configures one of the three ("initial", "exp", "dev") nonlinear fitting stages
oClsst::meas::modelfit::CModelStageResultResult object for a single nonlinear fitting stage of the CModel algorithm
oClsst::meas::modelfit::detail::Vandermonde< N >Class that computes rows of the Vandermonde matrix and related matrices; the dot product of these row vectors with the polynomial coefficient vectors evaluates the polynomial (or computes a derivative)
oClsst::meas::modelfit::DoubleShapeletPsfApproxControlControl object used to configure a 2-shapelet fit to a PSF model; see DoubleShapeletPsfApproxAlgorithm
oClsst::meas::modelfit::EpochFootprintAn image at one epoch of a galaxy, plus associated info
oClsst::meas::modelfit::GeneralPsfFitterClass for fitting multishapelet models to PSF images
|\Clsst::meas::modelfit::GeneralPsfFitterAlgorithm
oClsst::meas::modelfit::GeneralPsfFitterComponentControlControl object used to define one piece of multishapelet fit to a PSF model; see GeneralPsfFitterControl
oClsst::meas::modelfit::GeneralPsfFitterControlControl object used to configure a multishapelet fit to a PSF model; see GeneralPsfFitter
oClsst::meas::modelfit::ImportanceSamplerControlControl object for one iteration of adaptive importance sampling
oClsst::meas::modelfit::LikelihoodBase class for optimizer/sampler likelihood functions that compute likelihood at a point
|oClsst::meas::modelfit::MultiShapeletPsfLikelihoodLikelihood object used to fit multishapelet models to PSF model images; mostly for internal use by GeneralPsfFitter
|\Clsst::meas::modelfit::UnitTransformedLikelihoodA concrete Likelihood class that does not require its parameters and data to be in the same UnitSystem
oClsst::meas::modelfit::LocalUnitTransformA local mapping between two UnitSystems
oClsst::meas::modelfit::MixtureComponentA weighted Student's T or Gaussian distribution used as a component in a Mixture
oClsst::meas::modelfit::MixtureUpdateRestrictionHelper class used to define restrictions to the form of the component parameters in Mixture::updateEM
oClsst::meas::modelfit::ModelAbstract base class and concrete factories that define multi-shapelet galaxy models
|\Clsst::meas::modelfit::MultiModelA concrete Model class that simply concatenates several other Models
oClsst::meas::modelfit::OptimizerA numerical optimizer customized for least-squares problems with Bayesian priors
oClsst.meas.modelfit.optimizer.optimizerContinued.Optimizer
oClsst.meas.modelfit.optimizer.optimizerContinued.OptimizerControl
oClsst::meas::modelfit::OptimizerControlConfiguration object for Optimizer
oClsst::meas::modelfit::OptimizerHistoryRecorder
oClsst::meas::modelfit::OptimizerObjectiveBase class for objective functions for Optimizer
oClsst::meas::modelfit::PixelFitRegion
oClsst::meas::modelfit::PixelFitRegionControl
oClsst::meas::modelfit::PriorBase class for Bayesian priors
|oClsst::meas::modelfit::MixturePriorA prior that's flat in amplitude parameters, and uses a Mixture for nonlinear parameters
|oClsst::meas::modelfit::SemiEmpiricalPriorA piecewise prior motivated by both real distributions and practical considerations
|\Clsst::meas::modelfit::SoftenedLinearPriorA prior that's linear in radius and flat in ellipticity, with a cubic roll-off at the edges
oClsst.meas.modelfit.priors.priorsContinued.SemiEmpiricalPrior
oClsst.meas.modelfit.priors.priorsContinued.SoftenedLinearPrior
oClsst::meas::modelfit::Sampler
|\Clsst::meas::modelfit::AdaptiveImportanceSamplerSampler class that performs Monte Carlo sampling, while iteratively updating the analytic distribution from which points are drawn
oClsst::meas::modelfit::SamplingObjective
oClsst::meas::modelfit::SemiEmpiricalPriorControl
oClsst::meas::modelfit::SoftenedLinearPriorControl
oClsst::meas::modelfit::TruncatedGaussianRepresents a multidimensional Gaussian function truncated at zero
oClsst::meas::modelfit::TruncatedGaussianEvaluatorHelper class for evaluating the -log of a TruncatedGaussian
oClsst::meas::modelfit::TruncatedGaussianLogEvaluatorHelper class for evaluating the -log of a TruncatedGaussian
oClsst::meas::modelfit::TruncatedGaussianSamplerHelper class for drawing samples from a TruncatedGaussian
oClsst::meas::modelfit::UnitSystemA simple struct that combines a Wcs and a Calib
oClsst::meas::modelfit::UnitTransformedLikelihoodControlControl object used to initialize a UnitTransformedLikelihood
oCConfig
|\Clsst.meas.modelfit.psf.psfContinued.GeneralShapeletPsfApproxConfig
| oClsst.meas.modelfit.psf.psfContinued.GeneralShapeletPsfApproxForcedConfig
| \Clsst.meas.modelfit.psf.psfContinued.GeneralShapeletPsfApproxSingleFrameConfig
oCSimpleAlgorithm
|\Clsst::meas::modelfit::DoubleShapeletPsfApproxAlgorithmAn algorithm that fits a 2-component shapelet approximation to the PSF model
\Cobject
 oClsst.meas.modelfit.display.densityPlot.CrossPointsLayer
 oClsst.meas.modelfit.display.densityPlot.DensityPlot
 oClsst.meas.modelfit.display.densityPlot.ExampleData
 oClsst.meas.modelfit.display.densityPlot.HistogramLayer
 oClsst.meas.modelfit.display.densityPlot.ScatterLayer
 oClsst.meas.modelfit.display.densityPlot.SurfaceLayer
 oClsst.meas.modelfit.display.interactive.Interactive
 oClsst.meas.modelfit.display.modelFitAdapters.ModelFitDataAdapter
 |oClsst.meas.modelfit.display.modelFitAdapters.OptimizerDataAdapter
 |\Clsst.meas.modelfit.display.modelFitAdapters.SamplingDataAdapter
 oClsst.meas.modelfit.display.modelFitAdapters.OptimizerTrackLayer
 oClsst.meas.modelfit.display.optimizerDisplay.OptimizerDisplay
 oClsst.meas.modelfit.display.optimizerDisplay.OptimizerDisplayFigure
 oClsst.meas.modelfit.display.optimizerDisplay.OptimizerIterationDisplay
 \Clsst.meas.modelfit.psf.psfContinued.GeneralShapeletPsfApproxMixin
  oClsst.meas.modelfit.psf.psfContinued.GeneralShapeletPsfApproxForcedPlugin
  \Clsst.meas.modelfit.psf.psfContinued.GeneralShapeletPsfApproxSingleFramePlugin