lsst.meas.modelfit gd98a360833+e725812aed
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▼Nlsst | |
▼Nmeas | |
▼Nmodelfit | |
▼Ncmodel | |
▼NcmodelContinued | |
CCModelForcedConfig | |
CCModelForcedPlugin | |
CCModelSingleFrameConfig | |
CCModelSingleFramePlugin | |
Ncommon | |
▼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) |
▼Noptimizer | |
▼NoptimizerContinued | |
COptimizer | |
COptimizerControl | |
▼NpixelFitRegion | |
NpixelFitRegionContinued | |
▼Npriors | |
▼NpriorsContinued | |
CSemiEmpiricalPrior | |
CSoftenedLinearPrior | |
▼Npsf | |
▼NpsfContinued | |
CGeneralShapeletPsfApproxConfig | |
CGeneralShapeletPsfApproxForcedConfig | |
CGeneralShapeletPsfApproxForcedPlugin | |
CGeneralShapeletPsfApproxMixin | |
CGeneralShapeletPsfApproxSingleFrameConfig | |
CGeneralShapeletPsfApproxSingleFramePlugin | |
Nversion | |
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 |
Nstd | STL namespace |