LSSTApplications  18.0.0+106,18.0.0+50,19.0.0,19.0.0+1,19.0.0+10,19.0.0+11,19.0.0+13,19.0.0+17,19.0.0+2,19.0.0-1-g20d9b18+6,19.0.0-1-g425ff20,19.0.0-1-g5549ca4,19.0.0-1-g580fafe+6,19.0.0-1-g6fe20d0+1,19.0.0-1-g7011481+9,19.0.0-1-g8c57eb9+6,19.0.0-1-gb5175dc+11,19.0.0-1-gdc0e4a7+9,19.0.0-1-ge272bc4+6,19.0.0-1-ge3aa853,19.0.0-10-g448f008b,19.0.0-12-g6990b2c,19.0.0-2-g0d9f9cd+11,19.0.0-2-g3d9e4fb2+11,19.0.0-2-g5037de4,19.0.0-2-gb96a1c4+3,19.0.0-2-gd955cfd+15,19.0.0-3-g2d13df8,19.0.0-3-g6f3c7dc,19.0.0-4-g725f80e+11,19.0.0-4-ga671dab3b+1,19.0.0-4-gad373c5+3,19.0.0-5-ga2acb9c+2,19.0.0-5-gfe96e6c+2,w.2020.01
LSSTDataManagementBasePackage
Sampler.h
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1 // -*- lsst-c++ -*-
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3  * LSST Data Management System
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5  *
6  * This product includes software developed by the
7  * LSST Project (http://www.lsst.org/).
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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.
SamplingObjective(boost::shared_ptr< Likelihood > likelihood)
def run(self, skyInfo, tempExpRefList, imageScalerList, weightList, altMaskList=None, mask=None, supplementaryData=None)
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
#define PTR(...)
Definition: base.h:41