LSSTApplications  20.0.0
LSSTDataManagementBasePackage
Sampler.h
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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
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
PTR
#define PTR(...)
Definition: base.h:41
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