lsst.meas.modelfit
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include
lsst
meas
modelfit
Sampler.h
Go to the documentation of this file.
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// -*- lsst-c++ -*-
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/*
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* LSST Data Management System
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* Copyright 2008-2013 LSST Corporation.
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*
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* This product includes software developed by the
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* LSST Project (http://www.lsst.org/).
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the LSST License Statement and
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* the GNU General Public License along with this program. If not,
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* see <http://www.lsstcorp.org/LegalNotices/>.
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*/
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#ifndef LSST_MEAS_MODELFIT_Sampler_h_INCLUDED
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#define LSST_MEAS_MODELFIT_Sampler_h_INCLUDED
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#include "
lsst/afw/table/fwd.h
"
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#include "
lsst/meas/modelfit/Mixture.h
"
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#include "
lsst/meas/modelfit/Likelihood.h
"
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namespace
lsst
{
namespace
meas
{
namespace
modelfit
{
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class
SamplingObjective
{
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public
:
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virtual
int
getParameterDim
()
const
= 0;
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virtual
Scalar
operator()
(
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ndarray::Array<Scalar const,1,1>
const
& parameters,
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afw::table::BaseRecord
& sample
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)
const
= 0;
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virtual
~SamplingObjective
() {}
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protected
:
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explicit
SamplingObjective
(
std::shared_ptr<Likelihood>
likelihood);
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std::shared_ptr<Likelihood>
_likelihood
;
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ndarray::Array<
Pixel
,2,-1>
_modelMatrix
;
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};
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class
Sampler
{
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public
:
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virtual
void
run
(
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SamplingObjective
const
& objective,
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std::shared_ptr<Mixture>
proposal,
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afw::table::BaseCatalog
& samples
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)
const
= 0;
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virtual
~Sampler
() {}
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};
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}}}
// namespace lsst::meas::modelfit
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#endif
// !LSST_MEAS_MODELFIT_Sampler_h_INCLUDED
Likelihood.h
Mixture.h
lsst::afw::table::BaseRecord
lsst::meas::modelfit::Sampler
Definition
Sampler.h:52
lsst::meas::modelfit::Sampler::run
virtual void run(SamplingObjective const &objective, std::shared_ptr< Mixture > proposal, afw::table::BaseCatalog &samples) const =0
lsst::meas::modelfit::Sampler::~Sampler
virtual ~Sampler()
Definition
Sampler.h:61
lsst::meas::modelfit::SamplingObjective
Definition
Sampler.h:33
lsst::meas::modelfit::SamplingObjective::SamplingObjective
SamplingObjective(std::shared_ptr< Likelihood > likelihood)
lsst::meas::modelfit::SamplingObjective::_modelMatrix
ndarray::Array< Pixel, 2,-1 > _modelMatrix
Definition
Sampler.h:49
lsst::meas::modelfit::SamplingObjective::_likelihood
std::shared_ptr< Likelihood > _likelihood
Definition
Sampler.h:48
lsst::meas::modelfit::SamplingObjective::~SamplingObjective
virtual ~SamplingObjective()
Definition
Sampler.h:43
lsst::meas::modelfit::SamplingObjective::getParameterDim
virtual int getParameterDim() const =0
lsst::meas::modelfit::SamplingObjective::operator()
virtual Scalar operator()(ndarray::Array< Scalar const, 1, 1 > const ¶meters, afw::table::BaseRecord &sample) const =0
fwd.h
lsst::afw::table::BaseCatalog
CatalogT< BaseRecord > BaseCatalog
lsst::meas::modelfit
Definition
overview.dox:3
lsst::meas::modelfit::Pixel
float Pixel
Typedefs to be used for pixel values.
Definition
common.h:37
lsst::meas::modelfit::Scalar
double Scalar
Typedefs to be used for probability and parameter values.
Definition
common.h:44
lsst::meas
lsst
std::shared_ptr
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