LSSTApplications  19.0.0-14-gb0260a2+72efe9b372,20.0.0+7927753e06,20.0.0+8829bf0056,20.0.0+995114c5d2,20.0.0+b6f4b2abd1,20.0.0+bddc4f4cbe,20.0.0-1-g253301a+8829bf0056,20.0.0-1-g2b7511a+0d71a2d77f,20.0.0-1-g5b95a8c+7461dd0434,20.0.0-12-g321c96ea+23efe4bbff,20.0.0-16-gfab17e72e+fdf35455f6,20.0.0-2-g0070d88+ba3ffc8f0b,20.0.0-2-g4dae9ad+ee58a624b3,20.0.0-2-g61b8584+5d3db074ba,20.0.0-2-gb780d76+d529cf1a41,20.0.0-2-ged6426c+226a441f5f,20.0.0-2-gf072044+8829bf0056,20.0.0-2-gf1f7952+ee58a624b3,20.0.0-20-geae50cf+e37fec0aee,20.0.0-25-g3dcad98+544a109665,20.0.0-25-g5eafb0f+ee58a624b3,20.0.0-27-g64178ef+f1f297b00a,20.0.0-3-g4cc78c6+e0676b0dc8,20.0.0-3-g8f21e14+4fd2c12c9a,20.0.0-3-gbd60e8c+187b78b4b8,20.0.0-3-gbecbe05+48431fa087,20.0.0-38-ge4adf513+a12e1f8e37,20.0.0-4-g97dc21a+544a109665,20.0.0-4-gb4befbc+087873070b,20.0.0-4-gf910f65+5d3db074ba,20.0.0-5-gdfe0fee+199202a608,20.0.0-5-gfbfe500+d529cf1a41,20.0.0-6-g64f541c+d529cf1a41,20.0.0-6-g9a5b7a1+a1cd37312e,20.0.0-68-ga3f3dda+5fca18c6a4,20.0.0-9-g4aef684+e18322736b,w.2020.45
LSSTDataManagementBasePackage
Sampler.h
Go to the documentation of this file.
1 // -*- lsst-c++ -*-
2 /*
3  * LSST Data Management System
4  * Copyright 2008-2013 LSST Corporation.
5  *
6  * This product includes software developed by the
7  * LSST Project (http://www.lsst.org/).
8  *
9  * This program is free software: you can redistribute it and/or modify
10  * it under the terms of the GNU General Public License as published by
11  * the Free Software Foundation, either version 3 of the License, or
12  * (at your option) any later version.
13  *
14  * This program is distributed in the hope that it will be useful,
15  * but WITHOUT ANY WARRANTY; without even the implied warranty of
16  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17  * GNU General Public License for more details.
18  *
19  * You should have received a copy of the LSST License Statement and
20  * the GNU General Public License along with this program. If not,
21  * see <http://www.lsstcorp.org/LegalNotices/>.
22  */
23 
24 #ifndef LSST_MEAS_MODELFIT_Sampler_h_INCLUDED
25 #define LSST_MEAS_MODELFIT_Sampler_h_INCLUDED
26 
27 #include "lsst/afw/table/fwd.h"
30 
31 namespace lsst { namespace meas { namespace modelfit {
32 
34 public:
35 
36  virtual int getParameterDim() const = 0;
37 
38  virtual Scalar operator()(
39  ndarray::Array<Scalar const,1,1> const & parameters,
40  afw::table::BaseRecord & sample
41  ) const = 0;
42 
43  virtual ~SamplingObjective() {}
44 
45 protected:
46  explicit SamplingObjective(PTR(Likelihood) likelihood);
47 
49  ndarray::Array<Pixel,2,-1> _modelMatrix;
50 };
51 
52 class Sampler {
53 public:
54 
55  virtual void run(
56  SamplingObjective const & objective,
57  PTR(Mixture) proposal,
58  afw::table::BaseCatalog & samples
59  ) const = 0;
60 
61  virtual ~Sampler() {}
62 
63 };
64 
65 }}} // namespace lsst::meas::modelfit
66 
67 #endif // !LSST_MEAS_MODELFIT_Sampler_h_INCLUDED
lsst::meas::modelfit::SamplingObjective::_modelMatrix
ndarray::Array< Pixel, 2,-1 > _modelMatrix
Definition: Sampler.h:49
lsst::meas::modelfit::Pixel
float Pixel
Typedefs to be used for pixel values.
Definition: common.h:37
lsst::meas::modelfit::Sampler::run
virtual void run(SamplingObjective const &objective, boost::shared_ptr< Mixture > proposal, afw::table::BaseCatalog &samples) const =0
Likelihood.h
lsst::meas::modelfit::Scalar
double Scalar
Typedefs to be used for probability and parameter values.
Definition: common.h:44
fwd.h
PTR
#define PTR(...)
Definition: base.h:41
lsst::meas::modelfit::Likelihood
Base class for optimizer/sampler likelihood functions that compute likelihood at a point.
Definition: Likelihood.h:70
lsst::meas::modelfit::SamplingObjective::_likelihood
boost::shared_ptr< Likelihood > _likelihood
Definition: Sampler.h:48
lsst::meas::modelfit::Sampler
Definition: Sampler.h:52
lsst::meas::modelfit::Sampler::~Sampler
virtual ~Sampler()
Definition: Sampler.h:61
lsst::afw::table::BaseRecord
Base class for all records.
Definition: BaseRecord.h:31
lsst::meas::modelfit::Mixture
Definition: Mixture.h:128
Mixture.h
lsst::meas::modelfit::SamplingObjective::SamplingObjective
SamplingObjective(boost::shared_ptr< Likelihood > likelihood)
lsst::meas::modelfit::SamplingObjective::getParameterDim
virtual int getParameterDim() const =0
lsst
A base class for image defects.
Definition: imageAlgorithm.dox:1
lsst::meas::modelfit::SamplingObjective::~SamplingObjective
virtual ~SamplingObjective()
Definition: Sampler.h:43
lsst::afw::table::CatalogT< BaseRecord >
lsst::meas::modelfit::SamplingObjective::operator()
virtual Scalar operator()(ndarray::Array< Scalar const, 1, 1 > const &parameters, afw::table::BaseRecord &sample) const =0
lsst::meas::modelfit::SamplingObjective
Definition: Sampler.h:33