https://github.com/CosmicFish/CosmicFish
Tip revision: 28cfac3822d3b3149afcb5f09209a2597692f7f0 authored by Matteo Martinelli on 15 August 2017, 15:48:29 UTC
implemented bias assumptions
implemented bias assumptions
Tip revision: 28cfac3
001_Tensor_derivatives_2pt.f90
!----------------------------------------------------------------------------------------
!
! This file is part of CosmicFish.
!
! Copyright (C) 2015-2017 by the CosmicFish authors
!
! The CosmicFish code is free software;
! You can use it, redistribute it, and/or modify it under the terms
! of the GNU General Public License as published by the Free Software Foundation;
! either version 3 of the License, or (at your option) any later version.
! The full text of the license can be found in the file LICENSE at
! the top level of the CosmicFish distribution.
!
!----------------------------------------------------------------------------------------
!> @file 001_Tensor_derivatives_2pt.f90
!! This file contains the two point tensor derivatives algorithm used later by Fisher matrix calculators.
!----------------------------------------------------------------------------------------
!> This module contains the two point tensor derivatives algorithm used later by Fisher matrix calculators.
!> @author Marco Raveri
module Tensor_Derivatives_2pt
use precision
implicit none
private
! Interface block with the tensor functions:
interface
! function R->R^0
subroutine subroutine_scalar( value, error, result )
use precision
implicit none
integer , intent(in ) :: value
integer , intent(out) :: error
real(dl), intent(out) :: result
end subroutine subroutine_scalar
! function R->R^1
subroutine subroutine_1D( value, error, result )
use precision
implicit none
integer , intent(in ) :: value
integer , intent(out) :: error
real(dl), intent(out), dimension(:) :: result
end subroutine subroutine_1D
! function R->R^2
subroutine subroutine_2D( value, error, result )
use precision
implicit none
integer , intent(in ) :: value
integer , intent(out) :: error
real(dl), intent(out), dimension(:,:) :: result
end subroutine subroutine_2D
! function R->R^3
subroutine subroutine_3D( value, error, result )
use precision
implicit none
integer , intent(in ) :: value
integer , intent(out) :: error
real(dl), intent(out), dimension(:,:,:) :: result
end subroutine subroutine_3D
! function R->R^4
subroutine subroutine_4D( value, error, result )
use precision
implicit none
integer , intent(in ) :: value
integer , intent(out) :: error
real(dl), intent(out), dimension(:,:,:,:) :: result
end subroutine subroutine_4D
end interface
contains
! ---------------------------------------------------------------------------------------------
!> This subroutine computes the fixed stepsize derivative of a scalar function.
subroutine Tensor_Derivatives_2pt_scalar( function, stepsize, output, error )
implicit none
procedure(subroutine_scalar) :: function !< Input function to compute the derivative.
real(dl), intent(in ) :: stepsize !< Input value of the stepsize to use.
real(dl), intent(out) :: output !< Output value of the derivative.
integer , intent(out) :: error !< Output error code. error=0 everything is fine; error=1 calculation failed.
end subroutine Tensor_Derivatives_2pt_scalar
!----------------------------------------------------------------------------------------
end module Tensor_Derivatives_2pt
!----------------------------------------------------------------------------------------