athena__normalisation Module

Module containing procedures for normalising input and output data

Uses

- coreutils

Subroutines

public subroutine linear_renormalise(input, min, max)

Renormalise input data to a specified range

Arguments

Type	Intent	Optional	Attributes		Name
real(kind=real32),	intent(inout),		dimension(:)	::	input	Input data to be renormalised
real(kind=real32),	intent(in),	optional		::	min	Minimum and maximum values for renormalisation
real(kind=real32),	intent(in),	optional		::	max	Minimum and maximum values for renormalisation

public subroutine renormalise_norm(input, norm, mirror)

Renormalise input data to a unit norm

Arguments

Type	Intent	Optional	Attributes		Name
real(kind=real32),	intent(inout),		dimension(:)	::	input	Input data to be renormalised
real(kind=real32),	intent(in),	optional		::	norm	Desired norm value
logical,	intent(in),	optional		::	mirror	Boolean whether the data should be mirrored

public subroutine renormalise_sum(input, norm, mirror, magnitude)

Renormalise input data to a unit sum

Arguments

Type	Intent	Optional	Attributes		Name
real(kind=real32),	intent(inout),		dimension(:)	::	input	Input data to be renormalised
real(kind=real32),	intent(in),	optional		::	norm	Desired sum value
logical,	intent(in),	optional		::	mirror	Booleans whether the data should be mirrored or use magnitude
logical,	intent(in),	optional		::	magnitude	Booleans whether the data should be mirrored or use magnitude