The class LogNormalFull. More...

#include <LogNormalFull.h>

Public Member Functions
	LogNormalFull ()=default
	default constructor

	LogNormalFull (const cosmology::Cosmology cosmology, const double redshift_min=0., const double redshift_max=10., const int n_redshift_bins=500, const std::string author="CAMB")
	constructor More...

	LogNormalFull (const double rmin, const double xMin, const double xMax, const double yMin, const double yMax, const double zMin, const double zMax, const cosmology::Cosmology cosmology, const double redshift_min=0., const double redshift_max=10., const int n_redshift_bins=500, const std::string author="CAMB")
	constructor More...

	LogNormalFull (const double rmin, const std::vector< std::shared_ptr< catalogue::Catalogue >> random, const double pad, const cosmology::Cosmology cosmology, const double redshift_min=0., const double redshift_max=10., const int n_redshift_bins=500, const std::string author="CAMB")
	constructor More...

	~LogNormalFull ()=default
	default destructor

void	set_cosmo_function (const cosmology::Cosmology cosmology, const double redshift_min=0., const double redshift_max=10., const int n_redshift_bins=500, const std::string author="CAMB")
	set cosmological functions More...

void	set_grid_parameters (const double rmin, const double xMin, const double xMax, const double yMin, const double yMax, const double zMin, const double zMax)
	set grid parameters More...

void	set_grid_parameters (const double rmin, const std::vector< std::shared_ptr< catalogue::Catalogue >> random, const double pad)
	set grid parameters More...

void	generate_lognormal (const int start, const int stop, const bool doRSD, const double smoothing_radius, const std::vector< double > nObjects, const std::vector< std::vector< double >> redshift, const std::vector< std::vector< double > > bias, const std::string dir, const std::string filename, const int seed, const bool set_fields=true, const bool use_random=true)
	generate lognormal realizations More...

Protected Member Functions
void	m_set_grid_parameters ()
	set the grid parameters

void	m_set_fields (const bool use_random, const bool doRSD)
	set the fields More...

void	m_reset_fields (const bool use_random, const bool doRSD)
	reset the fields More...

void	m_set_clustering_signal ()
	set the target dark matter clustering signal

void	m_set_density_field (const double smoothing_radius)
	set the density field More...

void	m_set_potential ()
	set the gravitational potential field

void	m_set_radial_velocity ()
	set the radial velocity field

void	m_set_visibility ()
	set the visibility

void	m_set_visibility_from_random ()
	set the visibility from random catalogue

void	m_set_visibility_from_random_RSD ()
	set the visibility for redshift space mocks

void	m_extract_points_lognormal_field (const double nObjects, const bool doRSD, const std::vector< double > redshift, const std::vector< double > bias, const std::shared_ptr< data::Field3D > visibility, const std::string file_out)
	extract points from lognormal density fields More...

Protected Attributes
std::vector< std::shared_ptr< catalogue::Catalogue > >	m_data
	pointer to the input datasets

std::vector< std::shared_ptr< catalogue::Catalogue > >	m_random
	pointer to the random catalogues

std::shared_ptr< cosmology::Cosmology >	m_cosmology
	pointer to the fiducial cosmology

std::string	m_author
	std::string containing the author of the model power spectrum (i.e. the Boltzmann solver)

bool	m_NL
	false \(\rightarrow\) compute the linear power spectrum; true \(\rightarrow\) compute the non-linear power spectrum

std::default_random_engine	m_generator
	generator for random numbers

std::shared_ptr< data::Field3D >	m_clustering_signal
	the clustering signal

double	m_rmin
	approximate cell size of the density field

int	m_nx
	the number of cells along x-axis

int	m_ny
	the number of cells along y-axis

int	m_nz
	the number of cells along z-axis

int	m_nzF
	the number of cells along z-axis, Fourier space

double	m_xMin
	the minimum x-value

double	m_xMax
	the maximum x-value

double	m_yMin
	the minimum y-value

double	m_yMax
	the maximum y-value

double	m_zMin
	the minimum z-value

double	m_zMax
	the maximum z-value

int	m_nCells_eff
	the effective cell numbers

int	m_nLN
	the number of log-normal realizations to produce/read

double	m_rsmooth
	smoothing radius

bool	m_use_visibility
	1 \(\rightarrow\) use the visibility mask, 0 \(\rightarrow\) don't use the visibility mask

std::shared_ptr< data::Field3D >	m_density
	vector containing pointers to the LogNormal realizations

std::shared_ptr< data::Field3D >	m_densityG
	vector containing pointers to the LogNormal realizations

double	m_sigma2G
	density field variance

std::shared_ptr< data::Field3D >	m_rsd_displacement
	vector containing pointers to the LogNormal realizations

std::shared_ptr< data::Field3D >	m_displacement
	vector containing pointers to the LogNormal realizations

std::shared_ptr< data::Field3D >	m_potential
	vector containing pointers to the LogNormal realizations

std::shared_ptr< data::Field3D >	m_velocity
	vector containing pointers to the LogNormal realizations

std::shared_ptr< data::Field3D >	m_los_velocity
	vector containing pointers to the LogNormal realizations

std::shared_ptr< data::Field3D >	m_visibility
	vector containing pointers to the LogNormal realizations

std::vector< std::shared_ptr< data::Field3D > >	m_visibility_random
	vector containing pointers to the LogNormal realizations

std::vector< std::vector< std::shared_ptr< catalogue::Catalogue > > >	m_LNCat
	vector containing pointers to the LogNormal realizations

std::shared_ptr< glob::FuncGrid >	m_func_redshift
	interpolator for \(z(D_c)\)

std::shared_ptr< glob::FuncGrid >	m_func_DC
	interpolator for \(D_c(z)\)

std::shared_ptr< glob::FuncGrid >	m_func_HH
	interpolator for \(H(z)\)

std::vector< std::shared_ptr< glob::FuncGrid > >	m_func_bias
	interpolator for \(b(z)\)

std::shared_ptr< glob::FuncGrid >	m_func_growth_factor
	interpolator for \(g(z)\)

std::shared_ptr< glob::FuncGrid >	m_func_growth_rate
	interpolator for \(f(z)\)

std::shared_ptr< glob::FuncGrid >	m_func_pk
	interpolator for \(P(k)\)

Detailed Description

The class LogNormalFull.

"Headers/LogNormalFull.h"

This class is used to handle objects of type LogNormalFull . It is an improved version of the LogNormal class, aimed at providing log-normal mocks in redshift-space with reliable clustering multipoles. Still to be tested!

Definition at line 62 of file LogNormalFull.h.

Constructor & Destructor Documentation

◆ LogNormalFull() [1/3]

cbl::lognormal::LogNormalFull::LogNormalFull	(	const cosmology::Cosmology	cosmology,
		const double	redshift_min = `0.`,
		const double	redshift_max = `10.`,
		const int	n_redshift_bins = `500`,
		const std::string	author = `"CAMB"`
	)

constructor

Parameters

cosmology	the input cosmology
redshift_min	the minimum redshift
redshift_max	the maximum redshift
n_redshift_bins	the number or redshift bins
author	the linear power spectrum method

Definition at line 46 of file LogNormalFull.cpp.

◆ LogNormalFull() [2/3]

cbl::lognormal::LogNormalFull::LogNormalFull	(	const double	rmin,
		const double	xMin,
		const double	xMax,
		const double	yMin,
		const double	yMax,
		const double	zMin,
		const double	zMax,
		const cosmology::Cosmology	cosmology,
		const double	redshift_min = `0.`,
		const double	redshift_max = `10.`,
		const int	n_redshift_bins = `500`,
		const std::string	author = `"CAMB"`
	)

constructor

Parameters

rmin	cell size
xMin	the minimum x-value
xMax	the minimum x-value
yMin	the maximum y-value
yMax	the maximum x-value
zMin	the minimum z-value
zMax	the maximum z-value
cosmology	the input cosmology
redshift_min	the minimum redshift
redshift_max	the maximum redshift
n_redshift_bins	the number or redshift bins
author	the linear power spectrum

Definition at line 55 of file LogNormalFull.cpp.

◆ LogNormalFull() [3/3]

cbl::lognormal::LogNormalFull::LogNormalFull	(	const double	rmin,
		const std::vector< std::shared_ptr< catalogue::Catalogue >>	random,
		const double	pad,
		const cosmology::Cosmology	cosmology,
		const double	redshift_min = `0.`,
		const double	redshift_max = `10.`,
		const int	n_redshift_bins = `500`,
		const std::string	author = `"CAMB"`
	)

constructor

Parameters

rmin	cell size
random	vector containing random samples
pad	the size of padding area around grid
cosmology	the input cosmology
redshift_min	the minimum redshift
redshift_max	the maximum redshift
n_redshift_bins	the number or redshift bins
author	the linear power spectrum

Definition at line 66 of file LogNormalFull.cpp.

Member Function Documentation

◆ generate_lognormal()

void cbl::lognormal::LogNormalFull::generate_lognormal	(	const int	start,
		const int	stop,
		const bool	doRSD,
		const double	smoothing_radius,
		const std::vector< double >	nObjects,
		const std::vector< std::vector< double >>	redshift,
		const std::vector< std::vector< double > >	bias,
		const std::string	dir,
		const std::string	filename,
		const int	seed,
		const bool	set_fields = `true`,
		const bool	use_random = `true`
	)

generate lognormal realizations

Parameters

start	index of the first realization
stop	index of the last realization
doRSD	true \(\rightarrow\) do redshift-space mocks, false \(\rightarrow\) do real-space mocks
smoothing_radius	the smoothing radius
nObjects	number of generated points
redshift	vector containing the redshift
bias	vector containing the bias in function of redshift
dir	output directory
filename	output filename
seed	seed for random generator
set_fields	true \(\rightarrow\) set the fields, false \(\rightarrow\) don't set the fields
use_random	true \(\rightarrow\) use an input random catalogue for the visibility mask; false \(\rightarrow\) don't use random

Definition at line 619 of file LogNormalFull.cpp.

◆ m_extract_points_lognormal_field()

void cbl::lognormal::LogNormalFull::m_extract_points_lognormal_field	(	const double	nObjects,
		const bool	doRSD,
		const std::vector< double >	redshift,
		const std::vector< double >	bias,
		const std::shared_ptr< data::Field3D >	visibility,
		const std::string	file_out
	)

protected

extract points from lognormal density fields

Parameters

nObjects	number of generated points
doRSD	true \(\rightarrow\)do redshift-space mocks, false \(\rightarrow\) do real-space mocks
redshift	vector containing the redshift
bias	vector containing the bias in function of redshift
visibility	pointer to the visibility
file_out	out file for the extracted sample

Definition at line 549 of file LogNormalFull.cpp.

◆ m_reset_fields()

void cbl::lognormal::LogNormalFull::m_reset_fields	(	const bool	use_random,
		const bool	doRSD
	)

protected

reset the fields

Parameters

use_random	true \(\rightarrow\) use an input random catalogue for visibility mask, false \(\rightarrow\) do not use random
doRSD	true \(\rightarrow\)do redshift-space mocks, false \(\rightarrow\) do real-space mocks

Definition at line 213 of file LogNormalFull.cpp.

◆ m_set_density_field()

void cbl::lognormal::LogNormalFull::m_set_density_field ( const double smoothing_radius )

protected

set the density field

Parameters

smoothing_radius the gaussian kernel size

Definition at line 291 of file LogNormalFull.cpp.

◆ m_set_fields()

void cbl::lognormal::LogNormalFull::m_set_fields	(	const bool	use_random,
		const bool	doRSD
	)

protected

set the fields

Parameters

use_random	true \(\rightarrow\) use an input random catalogue for the visibility mask; false \(\rightarrow\) do not use random
doRSD	true \(\rightarrow\) construct redshift-space mocks; false \(\rightarrow\) construct real-space mocks

Definition at line 187 of file LogNormalFull.cpp.

◆ set_cosmo_function()

void cbl::lognormal::LogNormalFull::set_cosmo_function	(	const cosmology::Cosmology	cosmology,
		const double	redshift_min = `0.`,
		const double	redshift_max = `10.`,
		const int	n_redshift_bins = `500`,
		const std::string	author = `"CAMB"`
	)

set cosmological functions

Parameters

cosmology	the input cosmology
redshift_min	the minimum redshift
redshift_max	the maximum redshift
n_redshift_bins	the number or redshift bins
author	the linear power spectrum

Definition at line 77 of file LogNormalFull.cpp.

◆ set_grid_parameters() [1/2]

void cbl::lognormal::LogNormalFull::set_grid_parameters	(	const double	rmin,
		const double	xMin,
		const double	xMax,
		const double	yMin,
		const double	yMax,
		const double	zMin,
		const double	zMax
	)

set grid parameters

Parameters

rmin	cell size
xMin	the minimum x-value
xMax	the minimum x-value
yMin	the maximum y-value
yMax	the maximum x-value
zMin	the minimum z-value
zMax	the maximum z-value

Definition at line 135 of file LogNormalFull.cpp.

◆ set_grid_parameters() [2/2]

void cbl::lognormal::LogNormalFull::set_grid_parameters	(	const double	rmin,
		const std::vector< std::shared_ptr< catalogue::Catalogue >>	random,
		const double	pad
	)

set grid parameters

Parameters

rmin	cell size
random	vector containing random samples
pad	the size of padding area around grid

Definition at line 154 of file LogNormalFull.cpp.

The documentation for this class was generated from the following files:

Headers/LogNormalFull.h
LogNormal/LogNormalFull.cpp

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

◆ LogNormalFull() [1/3]

◆ LogNormalFull() [2/3]

◆ LogNormalFull() [3/3]

Member Function Documentation

◆ generate_lognormal()

◆ m_extract_points_lognormal_field()

◆ m_reset_fields()

◆ m_set_density_field()

◆ m_set_fields()

◆ set_cosmo_function()

◆ set_grid_parameters() [1/2]

◆ set_grid_parameters() [2/2]