LSSTApplications  18.1.0
LSSTDataManagementBasePackage
AstrometryMapping.h
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1 // -*- LSST-C++ -*-
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24 
25 #ifndef LSST_JOINTCAL_ASTROMETRY_MAPPING_H
26 #define LSST_JOINTCAL_ASTROMETRY_MAPPING_H
27 
28 #include <vector>
30 
31 namespace lsst {
32 namespace jointcal {
33 
34 class FatPoint;
35 class Point;
36 
39 public:
41  virtual std::size_t getNpar() const = 0;
42 
45  virtual void getMappingIndices(IndexVector &indices) const = 0;
46 
48 
51  virtual void computeTransformAndDerivatives(FatPoint const &where, FatPoint &outPoint,
52  Eigen::MatrixX2d &H) const = 0;
54  virtual void transformPosAndErrors(FatPoint const &where, FatPoint &outPoint) const = 0;
55 
57  // virtual void freezeErrorTransform() = 0;
58 
59  virtual void offsetParams(Eigen::VectorXd const &delta) = 0;
60 
62  virtual void positionDerivative(Point const &where, Eigen::Matrix2d &derivative,
63  double epsilon) const = 0;
64 
66  virtual ~AstrometryMapping(){};
67 };
68 } // namespace jointcal
69 } // namespace lsst
70 #endif // LSST_JOINTCAL_ASTROMETRY_MAPPING_H
A point in a plane.
Definition: Point.h:36
virtual void positionDerivative(Point const &where, Eigen::Matrix2d &derivative, double epsilon) const =0
The derivative w.r.t. position.
A Point with uncertainties.
Definition: FatPoint.h:34
A base class for image defects.
Eigen::Matrix< double, Eigen::Dynamic, 2 > MatrixX2d
Definition: Eigenstuff.h:33
virtual void offsetParams(Eigen::VectorXd const &delta)=0
Remember the error scale and freeze it.
STL class.
virtual void getMappingIndices(IndexVector &indices) const =0
Sets how this set of parameters (of length Npar()) map into the "grand" fit Expects that indices has ...
virtual void computeTransformAndDerivatives(FatPoint const &where, FatPoint &outPoint, Eigen::MatrixX2d &H) const =0
Actually applies the AstrometryMapping and evaluates the derivatives w.r.t the fitted parameters...
virtual void transformPosAndErrors(FatPoint const &where, FatPoint &outPoint) const =0
The same as above but without the parameter derivatives (used to evaluate chi^2)
virtual class needed in the abstraction of the distortion model
virtual std::size_t getNpar() const =0
Number of parameters in total.