fisher_calculator_cls Module Reference

This module contains the code that computes the Fisher matrix for Cls. More...

Functions/Subroutines
subroutine, public	dimension_cl_covariance (P, FP, num)
	This subroutine computes the number of entrance of the cls covariance matrix The matrix of the Cls is made up by T, E, CMBWL, W1,..., Wn, B. More...
subroutine, public	cl_covariance_out (P, FP, cl_dim, l_min, l_max, cl_out, err)
	This subroutine that gives the covariance matrix of the Cls for the desired model. Calls internally CAMB_get results. More...
subroutine, public	save_cl_covariance_to_file (cl_cov_in, cl_dim, l_min, l_max, filename)
	This subroutine saves to file the input Cls covariance matrix. More...
subroutine, public	cls_derivative (P, FP, param_num, cl_initial, cl_derivative, cl_error, initial_step, out_dim, l_min, l_max, num_param, error_code)
	This subroutine computes the derivative of the Cls covariance matrix with a fixed stepsize finite difference formula or by the Richardson’s deferred approach to the limit. More...
subroutine, public	add_noise_cls_to_fiducial (P, FP, cl_fiducial, out_dim, l_min, l_max, error_code)
	This subroutine computes and adds the noise cls to the fiducial cls. On output the fiducial cls will be modified. More...
subroutine, public	fisher_cls (P, FP, num_param, Fisher_Matrix, outroot)
	This subroutine computes the Fisher matrix for Cls. More...

Detailed Description

This module contains the code that computes the Fisher matrix for Cls.

Author

Marco Raveri

Function/Subroutine Documentation

subroutine, public fisher_calculator_cls::add_noise_cls_to_fiducial	(	type(cambparams), intent(in)	P,
		type(cosmicfish_params), intent(in)	FP,
		real(dl), dimension(out_dim, out_dim, l_max-l_min+1), intent(inout)	cl_fiducial,
		integer, intent(in)	out_dim,
		integer, intent(in)	l_min,
		integer, intent(in)	l_max,
		integer, intent(out)	error_code
	)

This subroutine computes and adds the noise cls to the fiducial cls. On output the fiducial cls will be modified.

Parameters

[in]	p	Input CAMBparams
[in]	fp	Input Cosmicfish params
[in]	out_dim	Input dimension of the Cls matrix
[in]	l_min	Input minimum value of l
[in]	l_max	Input maximum value of l
[in,out]	cl_fiducial	Fiducial cls covariance. On output this contains the fiducial plus the noise cls.
[out]	error_code	Output error code. When run the code will not stop on error but report it 0 = everything was fine computation exited correctly 1 = error on input parameters 2 = error on computation 3 = error on quality of the results

Definition at line 681 of file 008_Fisher_calculator_Cls.f90.

subroutine, public fisher_calculator_cls::cl_covariance_out	(	type(cambparams)	P,
		type(cosmicfish_params)	FP,
		integer, intent(in)	cl_dim,
		integer, intent(in)	l_min,
		integer, intent(in)	l_max,
		real(dl), dimension(cl_dim, cl_dim, l_max-l_min+1)	cl_out,
		integer, intent(out)	err
	)

This subroutine that gives the covariance matrix of the Cls for the desired model. Calls internally CAMB_get results.

Parameters

	p	Input CAMBparams
	fp	Input Cosmicfish params
[in]	cl_dim	Input dimension of the Cl matrix
[in]	l_min	Input min l computed
[in]	l_max	Input max l computed
	cl_out	Output matrix containing the cls
[out]	err	Output error code: 0 = all fine 1 = error in input 2 = error in computation 3 = error in quality 4 = routine specific

Definition at line 87 of file 008_Fisher_calculator_Cls.f90.

subroutine, public fisher_calculator_cls::cls_derivative	(	type(cambparams), intent(in)	P,
		type(cosmicfish_params), intent(in)	FP,
		integer, intent(in)	param_num,
		real(dl), dimension(out_dim, out_dim, l_max-l_min+1), intent(in)	cl_initial,
		real(dl), dimension(out_dim, out_dim, l_max-l_min+1), intent(out)	cl_derivative,
		real(dl), dimension(out_dim, out_dim, l_max-l_min+1), intent(out)	cl_error,
		real(dl), intent(in)	initial_step,
		integer, intent(in)	out_dim,
		integer, intent(in)	l_min,
		integer, intent(in)	l_max,
		integer, intent(in)	num_param,
		integer, intent(out)	error_code
	)

This subroutine computes the derivative of the Cls covariance matrix with a fixed stepsize finite difference formula or by the Richardson’s deferred approach to the limit.

Parameters

[in]	p	Input CAMBparams
[in]	fp	Input Cosmicfish params
[in]	param_num	Input number of the parameter wrt the derivative is computed
[in]	out_dim	Input dimension of the Cls matrix
[in]	l_min	Input minimum value of l
[in]	l_max	Input maximum value of l
[in]	num_param	Input number of parameters involved in the calculation
[in]	cl_initial	Cls covariance matrix computed for h=0
[out]	cl_derivative	Output returns the derivative of the Cls
[out]	cl_error	Output returns the error on the Cls derivative at a given l
[in]	initial_step	Input initial value of h. Does not need to be small for the adaptive algorithm.
[out]	error_code	Output error code. When run the code will not stop on error but report it 0 = everything was fine computation exited correctly 1 = error on input parameters 2 = error on computation 3 = error on quality of the results

Definition at line 427 of file 008_Fisher_calculator_Cls.f90.

subroutine, public fisher_calculator_cls::dimension_cl_covariance	(	type(cambparams), intent(in)	P,
		type(cosmicfish_params), intent(in)	FP,
		integer, intent(out)	num
	)

This subroutine computes the number of entrance of the cls covariance matrix The matrix of the Cls is made up by T, E, CMBWL, W1,..., Wn, B.

Parameters

[in]	p	Input CAMBparams
[in]	fp	Input Cosmicfish params
[out]	num	Output size of the Cls covariance matrix

Definition at line 56 of file 008_Fisher_calculator_Cls.f90.

subroutine, public fisher_calculator_cls::fisher_cls	(	type(cambparams), intent(in)	P,
		type(cosmicfish_params), intent(in)	FP,
		integer, intent(in)	num_param,
		real(dl), dimension(num_param,num_param), intent(out)	Fisher_Matrix,
		character(len=*), intent(in), optional	outroot
	)

This subroutine computes the Fisher matrix for Cls.

Parameters

[in]	p	Input CAMBparams
[in]	fp	Input Cosmicfish params
[in]	num_param	Input dimension of the Fisher matrix
[out]	fisher_matrix	Output Fisher matrix
[in]	outroot	Optional input: filename that will be used to dump to file optional output if feedback is greater than 1.

Definition at line 946 of file 008_Fisher_calculator_Cls.f90.

subroutine, public fisher_calculator_cls::save_cl_covariance_to_file	(	real(dl), dimension(cl_dim, cl_dim, l_max-l_min+1), intent(in)	cl_cov_in,
		integer, intent(in)	cl_dim,
		integer, intent(in)	l_min,
		integer, intent(in)	l_max,
		character(len=*), intent(in)	filename
	)

This subroutine saves to file the input Cls covariance matrix.

Parameters

[in]	cl_dim	Number of Cls in a row of the matrix
[in]	l_min	Minimum l of the Cls
[in]	l_max	Maximum l of the Cls
[in]	cl_cov_in	Input Cls covariance matrix
[in]	filename	Name of the file where the Cls covariance will be saved

Definition at line 386 of file 008_Fisher_calculator_Cls.f90.