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StokesCovariance.h Matrix< 4, 4, double > xform_grad The Mueller matrix of the transformation gradient component. Definition: StokesCovariance.h:82 void set_transformation(const Jones< double > &) Set the transformation. Definition: StokesCovariance.C:30 Propagates Stokes parameter covariances through congruence transformation. Definition: StokesCovariance.h:25 StokesCovariance() Default constructor. Definition: StokesCovariance.C:11 Matrix< 4, 4, double > get_covariance() const Get the variances of the output Stokes parameters. Definition: StokesCovariance.C:46 Matrix< 4, 4, double > xform The Mueller matrix of the transformation. Definition: StokesCovariance.h:79 void set_transformation_gradient(const Jones< double > &) Set the transformation gradient component. Definition: StokesCovariance.C:56 Namespace in which all modeling and calibration related code is declared. Definition: ExampleComplex2.h:16 Stokes< double > get_input_variance() const Get the input variance (not transformed) Definition: StokesCovariance.C:24 bool built Flag set to false when xform_grad must be recomputed. Definition: StokesCovariance.h:73 void set_variance(const Stokes< double > &) Set the variances of the input Stokes parameters. Definition: StokesCovariance.C:18 Matrix< 4, 4, double > get_covariance_gradient() const Get the variances of the output Stokes parameters gradient component. Definition: StokesCovariance.C:72 Jones< double > jones The Jones matrix of the transformation. Definition: StokesCovariance.h:67 Stokes< double > input The input Stokes parameter variances. Definition: StokesCovariance.h:64 Jones< double > jones_grad The Jones matrix of the transformation gradient component. Definition: StokesCovariance.h:70 Generated using doxygen 1.8.17
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