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lsst.meas.modelfit
19.0.0-2-g9b11441+37
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| ▼Nlsst | |
| ▼Nmeas | |
| ▼Nmodelfit | |
| ▼Ncmodel | |
| ▼NcmodelContinued | |
| CCModelForcedConfig | |
| CCModelForcedPlugin | |
| CCModelSingleFrameConfig | |
| CCModelSingleFramePlugin | |
| ▼Ndetail | |
| CVandermonde | 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) |
| ▼Ndisplay | |
| ▼NdensityPlot | |
| CCrossPointsLayer | |
| ▼CDensityPlot | |
| CLayerDict | |
| CExampleData | |
| CHistogramLayer | |
| CScatterLayer | |
| CSurfaceLayer | |
| ▼Ninteractive | |
| CInteractive | |
| ▼NmodelFitAdapters | |
| CModelFitDataAdapter | |
| COptimizerDataAdapter | |
| COptimizerTrackLayer | |
| CSamplingDataAdapter | |
| ▼NoptimizerDisplay | |
| COptimizerDisplay | |
| COptimizerDisplayFigure | |
| COptimizerIterationDisplay | |
| ▼Noptimizer | |
| ▼NoptimizerContinued | |
| COptimizer | |
| COptimizerControl | |
| ▼NpixelFitRegion | |
| ▼Npriors | |
| ▼NpriorsContinued | |
| CSemiEmpiricalPrior | |
| CSoftenedLinearPrior | |
| ▼Npsf | |
| ▼NpsfContinued | |
| CGeneralShapeletPsfApproxConfig | |
| CGeneralShapeletPsfApproxForcedConfig | |
| CGeneralShapeletPsfApproxForcedPlugin | |
| CGeneralShapeletPsfApproxMixin | |
| CGeneralShapeletPsfApproxSingleFrameConfig | |
| CGeneralShapeletPsfApproxSingleFramePlugin | |
| CAdaptiveImportanceSampler | Sampler class that performs Monte Carlo sampling, while iteratively updating the analytic distribution from which points are drawn |
| CCModelAlgorithm | Main public interface class for CModel algorithm |
| CCModelControl | The main control object for CModel, containing parameters for the final linear fit and aggregating the other control objects |
| CCModelResult | Master result object for CModel, containing results for the final linear fit and three nested CModelStageResult objects for the results of the previous stages |
| CCModelStageControl | Nested control object for CModel that configures one of the three ("initial", "exp", "dev") nonlinear fitting stages |
| CCModelStageResult | Result object for a single nonlinear fitting stage of the CModel algorithm |
| CDoubleShapeletPsfApproxAlgorithm | An algorithm that fits a 2-component shapelet approximation to the PSF model |
| CDoubleShapeletPsfApproxControl | Control object used to configure a 2-shapelet fit to a PSF model; see DoubleShapeletPsfApproxAlgorithm |
| CEpochFootprint | An image at one epoch of a galaxy, plus associated info |
| CGeneralPsfFitter | Class for fitting multishapelet models to PSF images |
| CGeneralPsfFitterAlgorithm | |
| CGeneralPsfFitterComponentControl | Control object used to define one piece of multishapelet fit to a PSF model; see GeneralPsfFitterControl |
| CGeneralPsfFitterControl | Control object used to configure a multishapelet fit to a PSF model; see GeneralPsfFitter |
| CImportanceSamplerControl | Control object for one iteration of adaptive importance sampling |
| CLikelihood | Base class for optimizer/sampler likelihood functions that compute likelihood at a point |
| CLocalUnitTransform | A local mapping between two UnitSystems |
| CMixture | |
| CMixtureComponent | A weighted Student's T or Gaussian distribution used as a component in a Mixture |
| CMixturePrior | A prior that's flat in amplitude parameters, and uses a Mixture for nonlinear parameters |
| CMixtureUpdateRestriction | Helper class used to define restrictions to the form of the component parameters in Mixture::updateEM |
| CModel | Abstract base class and concrete factories that define multi-shapelet galaxy models |
| CMultiModel | A concrete Model class that simply concatenates several other Models |
| CMultiShapeletPsfLikelihood | Likelihood object used to fit multishapelet models to PSF model images; mostly for internal use by GeneralPsfFitter |
| COptimizer | A numerical optimizer customized for least-squares problems with Bayesian priors |
| COptimizerControl | Configuration object for Optimizer |
| COptimizerHistoryRecorder | |
| COptimizerObjective | Base class for objective functions for Optimizer |
| CPixelFitRegion | |
| CPixelFitRegionControl | |
| CPrior | Base class for Bayesian priors |
| CSampler | |
| CSamplingObjective | |
| CSemiEmpiricalPrior | A piecewise prior motivated by both real distributions and practical considerations |
| CSemiEmpiricalPriorControl | |
| CSoftenedLinearPrior | A prior that's linear in radius and flat in ellipticity, with a cubic roll-off at the edges |
| CSoftenedLinearPriorControl | |
| CTruncatedGaussian | Represents a multidimensional Gaussian function truncated at zero |
| CTruncatedGaussianEvaluator | Helper class for evaluating the -log of a TruncatedGaussian |
| CTruncatedGaussianLogEvaluator | Helper class for evaluating the -log of a TruncatedGaussian |
| CTruncatedGaussianSampler | Helper class for drawing samples from a TruncatedGaussian |
| CUnitSystem | A simple struct that combines a Wcs and a PhotoCalib |
| CUnitTransformedLikelihood | A concrete Likelihood class that does not require its parameters and data to be in the same UnitSystem |
| CUnitTransformedLikelihoodControl | Control object used to initialize a UnitTransformedLikelihood |
1.8.13