EGM96 coefficients. More...

Namespaces
namespace	GMF

namespace	NMF

Data Structures
struct	all_t
	All type to request all rows or columns in KeyedMatrices. More...

struct	GPT2Data
	Parameters of the GP2 grid in in 1 degree x 1 degree resolution. More...

struct	GPT3Data
	Parameters of the GP3 grid in in 1 degree x 1 degree resolution. More...

class	KeyedMatrixBase
	Class to inherit common methods for static and dynamic sized matrices. More...

class	KeyedMatrixCols
	Base class for Keyed matrices with multiple columns of static size. More...

class	KeyedMatrixCols< Scalar, ColKeyType, Rows, Eigen::Dynamic >
	Base class for Keyed matrices with multiple columns of dynamic size. More...

class	KeyedMatrixColsBase
	Base class for Keyed matrices with multiple columns. More...

class	KeyedMatrixRows
	Base class for Keyed matrices with multiple rows of static size. More...

class	KeyedMatrixRows< Scalar, RowKeyType, Eigen::Dynamic, Cols >
	Base class for Keyed matrices with multiple rows of dynamic size. More...

class	KeyedMatrixRowsBase
	Base class for Keyed matrices with multiple rows. More...

class	KeyedMatrixStorage
	KeyedMatrix storage class. More...

class	KeyedRowVectorBase
	Class to inherit common methods for static and dynamic sized row vectors. More...

class	KeyedVectorBase
	Class to inherit common methods for static and dynamic sized vectors. More...

Functions
template<typename T>
std::pair< Eigen::MatrixX< T >, Eigen::MatrixX< T > >	associatedLegendre (const T &theta, size_t ndegree=10)
	Calculates the associated Legendre Polynomial coefficients necessary for the EGM96.

Eigen::MatrixXd	readAscii2Matrix ()
	Read function for EGM96 coefficients.

Variables
std::array< std::array< double, 6 >, 65338 >	egm96Coeffs
	EGM96 coefficients.

std::array< GPT2Data, 64800 >	GPT2_grid
	GPT2 grid.

std::array< GPT3Data, 64800 >	GPT3_grid
	GPT3 grid.

Detailed Description

EGM96 coefficients.

Author: M. Maier (maier.nosp@m.@ins.nosp@m..uni-.nosp@m.stut.nosp@m.tgart.nosp@m..de); T. Topp (topp@.nosp@m.ins..nosp@m.uni-s.nosp@m.tutt.nosp@m.gart..nosp@m.de)

Function Documentation

◆ associatedLegendre()

template<typename T>

std::pair< Eigen::MatrixX< T >, Eigen::MatrixX< T > > NAV::internal::associatedLegendre	(	const T &	theta,
		size_t	ndegree = 10 )

nodiscard

Calculates the associated Legendre Polynomial coefficients necessary for the EGM96.

Parameters

[in]	theta	Elevation angle (spherical coordinates) [rad]
[in]	ndegree	Degree of associated Legendre polynomials

Returns: Matrix of associated Legendre polynomial coefficients P and its derivative Pd

Note: See 'GUT User Guide' (2018) chapter 4.2, equations (4.2.2), (4.2.3) and (4.2.6)

Definition at line 33 of file AssociatedLegendre.hpp.

◆ readAscii2Matrix()

Eigen::MatrixXd NAV::internal::readAscii2Matrix ( )

nodiscard

Read function for EGM96 coefficients.

Returns: 'coeffs' MatrixXd of the EGM96 coefficients

Attention: Deprecated: This function is not used anymore, as the coefficients are stored in the source code

Definition at line 20 of file readAscii2Matrix.cpp.

Variable Documentation

◆ egm96Coeffs

std::array< std::array< double, 6 >, 65338 > NAV::internal::egm96Coeffs

EGM96 coefficients.

Definition at line 21 of file egm96Coeffs.cpp.

◆ GPT2_grid

std::array< NAV::internal::GPT2Data, 64800 > NAV::internal::GPT2_grid

extern

GPT2 grid.

Definition at line 19 of file GPT2Coeffs.cpp.

◆ GPT3_grid

std::array< NAV::internal::GPT3Data, 64800 > NAV::internal::GPT3_grid

extern

GPT3 grid.

Definition at line 19 of file GPT3Coeffs.cpp.

Namespaces

Data Structures

Functions

Variables