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TotalCovariance.h 63 }
Matrix< 4, 4, double > optimizer The optimizing transformation. Definition: TotalCovariance.h:66 void set_transformation(const Jones< double > &) void build() Compute inv_covar attribute. Definition: TotalCovariance.C:82 void set_optimizing_transformation(const Matrix< 4, 4, double > &opt) Set the optimizing transformation applied to the template. Definition: TotalCovariance.C:45 Matrix< 4, 4, double > get_covariance() const void set_covariance(const Matrix< 4, 4, double > &opt) Set the covariances of the observed Stokes parameters. Definition: TotalCovariance.C:36 void add(const Uncertainty *) Add the uncertainty of another instance. Definition: TotalCovariance.C:28 TotalCovariance() Default constructor. Definition: TotalCovariance.C:16 TotalCovariance * clone() const Clone operator. Definition: TotalCovariance.C:22 void set_variance(const Stokes< double > &) double get_weighted_norm(const Jones< double > &) const Given a coherency matrix, return the weighted norm. Definition: TotalCovariance.C:54 Matrix< 4, 4, double > inv_covar The inverse of the total covariance matrix. Definition: TotalCovariance.h:63 Combines the uncertainty of the template and the observation. Definition: TotalCovariance.h:25 Matrix< 4, 4, double > observation_covariance The covariances of the observed Stokes parameters. Definition: TotalCovariance.h:58 Jones< double > get_weighted_conjugate(const Jones< double > &) const Given a coherency matrix, return the weighted conjugate matrix. Definition: TotalCovariance.C:66 Generated using doxygen 1.8.17
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