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LSSTDataManagementBasePackage
Sampler.h
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1 // -*- lsst-c++ -*-
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3  * LSST Data Management System
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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:
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
ndarray::Array< Pixel, 2,-1 > _modelMatrix
Definition: Sampler.h:49
virtual Scalar operator()(ndarray::Array< Scalar const, 1, 1 > const &parameters, afw::table::BaseRecord &sample) const =0
float Pixel
Typedefs to be used for pixel values.
Definition: common.h:37
double Scalar
Typedefs to be used for probability and parameter values.
Definition: common.h:44
A base class for image defects.
#define PTR(...)
Definition: base.h:41
SamplingObjective(boost::shared_ptr< Likelihood > likelihood)
Base class for all records.
Definition: BaseRecord.h:31
Base class for optimizer/sampler likelihood functions that compute likelihood at a point...
Definition: Likelihood.h:69
virtual int getParameterDim() const =0
boost::shared_ptr< Likelihood > _likelihood
Definition: Sampler.h:48