lsst::meas::modelfit::TruncatedGaussianSampler Class Reference

Helper class for drawing samples from a TruncatedGaussian. More...

#include <TruncatedGaussian.h>

Public Member Functions
	TruncatedGaussianSampler (TruncatedGaussian const &parent, TruncatedGaussian::SampleStrategy strategy)
Scalar	operator() (afw::math::Random &rng, ndarray::Array< Scalar, 1, 1 > const &alpha) const
	Draw a single sample from a TruncatedGaussian. More...
void	operator() (afw::math::Random &rng, ndarray::Array< Scalar, 2, 1 > const &alpha, ndarray::Array< Scalar, 1, 1 > const &weights, bool multiplyWeights=false) const
	Draw multiple samples from a TruncatedGaussian. More...
	~TruncatedGaussianSampler ()

Detailed Description

Helper class for drawing samples from a TruncatedGaussian.

Definition at line 300 of file TruncatedGaussian.h.

Constructor & Destructor Documentation

TruncatedGaussianSampler()

lsst::meas::modelfit::TruncatedGaussianSampler::TruncatedGaussianSampler ( TruncatedGaussian const &  parent, TruncatedGaussian::SampleStrategy  strategy  )

explicit

~TruncatedGaussianSampler()

lsst::meas::modelfit::TruncatedGaussianSampler::~TruncatedGaussianSampler

(

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Member Function Documentation

operator()() [1/2]

Scalar lsst::meas::modelfit::TruncatedGaussianSampler::operator()	(	afw::math::Random &	rng,
		ndarray::Array< Scalar, 1, 1 > const &	alpha
	)		const

Draw a single sample from a TruncatedGaussian.

Parameters

[in]	rng	Random number generator
[out]	alpha	Output sample vector to fill

Returns

the weight of the sample (always betweeen 0 and 1)

operator()() [2/2]

void lsst::meas::modelfit::TruncatedGaussianSampler::operator()	(	afw::math::Random &	rng,
		ndarray::Array< Scalar, 2, 1 > const &	alpha,
		ndarray::Array< Scalar, 1, 1 > const &	weights,
		bool	multiplyWeights = false
	)		const

Draw multiple samples from a TruncatedGaussian.

Parameters

[in]	rng	Random number generator
[out]	alpha	Output sample vector to fill; first dimension sets the number of samples
[out]	weights	Output weight vector to fill
[in]	multiplyWeights	If true, multiply the weights vector by the weights rather than fill it.

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The documentation for this class was generated from the following file:

• /j/snowflake/release/lsstsw/stack/lsst-scipipe-0.7.0/Linux64/meas_modelfit/22.0.1-4-g44f2e3d+9e4ab0f4fa/include/lsst/meas/modelfit/TruncatedGaussian.h