Namespaces
namespace	array

namespace	io

namespace	maths

namespace	sys

Classes
struct	BinnedVectors
	Binned vectors. More...

class	Binning
	Isotropic coordinate binning. More...

struct	BispecMeasurements
	Bispectrum measurements. More...

class	FieldStats
	Field (pseudo-two-point) statistics. More...

struct	LineOfSight
	Line-of-sight vector. More...

class	MeshField
	Discretely sampled field on a mesh grid from particle catalogues. More...

class	ParameterSet
	Parameter set. More...

class	ParticleCatalogue
	Particle catalogue. More...

struct	ParticleData
	Particle data container. More...

struct	PowspecMeasurements
	Power spectrum measurements. More...

struct	SphericalOrderTriplet
	Spherical order triplet \( (m_1, m_2, M) \). More...

struct	ThreePCFMeasurements
	Three-point correlation function measurements. More...

struct	ThreePCFWindowMeasurements
	Three-point correlation function window measurements. More...

struct	TwoPCFMeasurements
	Two-point correlation function measurements. More...

struct	TwoPCFWindowMeasurements
	Two-point correlation function window measurements. More...

Functions
void	override_paramset_by_envvars (trv::ParameterSet &params)
	Override parameter set by environment variables.

void	set_boxsize_from_expand (const double *spans, trv::ParameterSet &params)
	Set the box size parameters from the box expansion factor.

void	set_ngrid_from_cutoff (trv::ParameterSet &params)
	Set the grid cell numbers from the box size and the Nyquist cutoff.

double	calc_coupling_coeff_3pt (int ell1, int ell2, int ELL, int m1, int m2, int M)
	Calculate the coupling coefficient for spherical-harmonic components of full three-point statistics.

void	validate_multipole_coupling (trv::ParameterSet &params)
	Validate three-point correlator multipoles are non-vanishing.

double	calc_bispec_normalisation_from_particles (ParticleCatalogue &particles, double alpha=1.)
	Calculate particle-based bispectrum normalisation.

double	calc_bispec_normalisation_from_mesh (ParticleCatalogue &particles, trv::ParameterSet &params, double alpha=1.)
	Calculate mesh-based bispectrum normalisation.

std::complex< double >	calc_ylm_wgtd_shotnoise_amp_for_bispec (ParticleCatalogue &particles_data, ParticleCatalogue &particles_rand, LineOfSight los_data, LineOfSight los_rand, double alpha, int ell, int m)
	Calculate bispectrum shot noise amplitude weighted by reduced spherical harmonics.

std::complex< double >	calc_ylm_wgtd_shotnoise_amp_for_bispec (ParticleCatalogue &particles, LineOfSight *los, double alpha, int ell, int m)
	Calculate bispectrum shot noise amplitude weighted by reduced spherical harmonics.

trv::BispecMeasurements	compute_bispec (ParticleCatalogue &catalogue_data, ParticleCatalogue &catalogue_rand, LineOfSight los_data, LineOfSight los_rand, trv::ParameterSet &params, trv::Binning &kbinning, double norm_factor)
	Compute bispectrum from paired survey-type catalogues.

trv::ThreePCFMeasurements	compute_3pcf (ParticleCatalogue &catalogue_data, ParticleCatalogue &catalogue_rand, LineOfSight los_data, LineOfSight los_rand, trv::ParameterSet &params, trv::Binning &rbinning, double norm_factor)
	Compute three-point correlation function from paired survey-type catalogues.

trv::BispecMeasurements	compute_bispec_in_gpp_box (ParticleCatalogue &catalogue_data, trv::ParameterSet &params, trv::Binning kbinning, double norm_factor)
	Compute bispectrum in a periodic box in the global plane-parallel approximation.

trv::ThreePCFMeasurements	compute_3pcf_in_gpp_box (ParticleCatalogue &catalogue_data, trv::ParameterSet &params, trv::Binning &rbinning, double norm_factor)
	Compute three-point correlation function in a periodic box in the global plane-parallel approximation.

trv::ThreePCFWindowMeasurements	compute_3pcf_window (ParticleCatalogue &catalogue_rand, LineOfSight *los_rand, trv::ParameterSet &params, trv::Binning &rbinning, double alpha, double norm_factor, bool wide_angle=false)
	Compute three-point correlation function window from a random catalogue.

double	calc_coupling_coeff_2pt (int ell, int ELL, int m, int M)
	Calculate the coupling coefficient for spherical-harmonic components of full two-point statistics.

double	calc_powspec_normalisation_from_particles (ParticleCatalogue &particles, double alpha=1.)
	Calculate particle-based power spectrum normalisation.

double	calc_powspec_normalisation_from_mesh (trv::ParticleCatalogue &particles, trv::ParameterSet &params, double alpha=1.)
	Calculate mesh-based power spectrum normalisation.

double	calc_powspec_normalisation_from_meshes (trv::ParticleCatalogue &particles_data, trv::ParticleCatalogue &particles_rand, trv::ParameterSet &params, double alpha)
	Calculate power spectrum normalisation from mixed meshes.

double	calc_powspec_normalisation_from_meshes (trv::ParticleCatalogue &particles_data, trv::ParticleCatalogue &particles_rand, trv::ParameterSet &params, double alpha, double padding, double cellsize, const std::string &assignment)
	Calculate power spectrum normalisation from mixed meshes.

double	calc_powspec_shotnoise_from_particles (ParticleCatalogue &particles, double alpha=1.)
	Calculate particle-based power spectrum shot noise level.

std::complex< double >	calc_ylm_wgtd_shotnoise_amp_for_powspec (ParticleCatalogue &particles_data, ParticleCatalogue &particles_rand, LineOfSight los_data, LineOfSight los_rand, double alpha, int ell, int m)
	Calculate power spectrum shot noise weighted by reduced spherical harmonics.

std::complex< double >	calc_ylm_wgtd_shotnoise_amp_for_powspec (ParticleCatalogue &particles, LineOfSight *los, double alpha, int ell, int m)
	Calculate power spectrum shot noise weighted by reduced spherical harmonics.

trv::PowspecMeasurements	compute_powspec (ParticleCatalogue &catalogue_data, ParticleCatalogue &catalogue_rand, LineOfSight los_data, LineOfSight los_rand, trv::ParameterSet &params, trv::Binning &kbinning, double norm_factor)
	Compute power spectrum from paired survey-type catalogues.

trv::TwoPCFMeasurements	compute_corrfunc (ParticleCatalogue &catalogue_data, ParticleCatalogue &catalogue_rand, LineOfSight los_data, LineOfSight los_rand, trv::ParameterSet &params, trv::Binning &rbinning, double norm_factor)
	Compute two-point correlation function from paired survey-type catalogues.

trv::PowspecMeasurements	compute_powspec_in_gpp_box (ParticleCatalogue &catalogue_data, trv::ParameterSet &params, trv::Binning kbinning, double norm_factor)
	Compute power spectrum in a periodic box in the global plane-parallel approximation.

trv::TwoPCFMeasurements	compute_corrfunc_in_gpp_box (ParticleCatalogue &catalogue_data, trv::ParameterSet &params, trv::Binning &rbinning, double norm_factor)
	Compute two-point correlation function in a periodic box in the global plane-parallel approximation.

trv::TwoPCFWindowMeasurements	compute_corrfunc_window (trv::ParticleCatalogue &catalogue_rand, trv::LineOfSight *los_rand, trv::ParameterSet &params, trv::Binning rbinning, double alpha, double norm_factor)
	Compute two-point correlation function window from a random catalogue and optionally save the results.

Function Documentation

◆ override_paramset_by_envvars()

void trv::override_paramset_by_envvars ( trv::ParameterSet & params )

Override parameter set by environment variables.

The environment variables are expected to be in the form TRV_OVERRIDE_<PARAMETER_NAME>.

Parameters

[in,out] params Parameter set.

Definition at line 1382 of file parameters.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ set_boxsize_from_expand()

void trv::set_boxsize_from_expand	(	const double *	spans,
		trv::ParameterSet &	params )

Set the box size parameters from the box expansion factor.

Parameters

[in]	spans	Particle coordinate span in each dimension.
[in,out]	params	Parameter set.

Definition at line 1416 of file parameters.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ set_ngrid_from_cutoff()

void trv::set_ngrid_from_cutoff ( trv::ParameterSet & params )

Set the grid cell numbers from the box size and the Nyquist cutoff.

Parameters

[in,out] params Parameter set.

Definition at line 1434 of file parameters.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ calc_coupling_coeff_3pt()

double trv::calc_coupling_coeff_3pt	(	int	ell1,
		int	ell2,
		int	ELL,
		int	m1,
		int	m2,
		int	M )

Calculate the coupling coefficient for spherical-harmonic components of full three-point statistics.

The calculated quantity is

\[ (2\ell_1 + 1) (2\ell_2 + 1) (2L + 1) W(\ell_1, \ell_2, L; 0, 0, 0) W(\ell_1, \ell_2, L; m, 0, M) \,. \]

Parameters

ell1,ell2,ELL,m1,m2,M Wigner 3-j components.

Returns: Coupling coefficient for spherical-harmonic components in three-point statistics.

Definition at line 65 of file threept.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ validate_multipole_coupling()

void trv::validate_multipole_coupling ( trv::ParameterSet & params )

Validate three-point correlator multipoles are non-vanishing.

Parameters

params Parameter set.

Definition at line 73 of file threept.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ calc_bispec_normalisation_from_particles()

double trv::calc_bispec_normalisation_from_particles	(	ParticleCatalogue &	particles,
		double	alpha = 1. )

Calculate particle-based bispectrum normalisation.

Parameters

particles	Particle catalogue.
alpha	Alpha contrast (default is 1.).

Returns: Bispectrum normalisation factor.

Definition at line 96 of file threept.cpp.

Here is the caller graph for this function:

◆ calc_bispec_normalisation_from_mesh()

double trv::calc_bispec_normalisation_from_mesh	(	ParticleCatalogue &	particles,
		trv::ParameterSet &	params,
		double	alpha = 1. )

Calculate mesh-based bispectrum normalisation.

Parameters

particles	Particle catalogue.
params	Parameter set.
alpha	Alpha contrast (default is 1.).

Returns: Bispectrum normalisation factor.

Definition at line 138 of file threept.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ calc_ylm_wgtd_shotnoise_amp_for_bispec() [1/2]

std::complex< double > trv::calc_ylm_wgtd_shotnoise_amp_for_bispec	(	ParticleCatalogue &	particles_data,
		ParticleCatalogue &	particles_rand,
		LineOfSight *	los_data,
		LineOfSight *	los_rand,
		double	alpha,
		int	ell,
		int	m )

Calculate bispectrum shot noise amplitude weighted by reduced spherical harmonics.

This calculates the quantity

\[ \bar{S}_{LM} = {\sum_i}{\vphantom{\sum}}' y_{LM}^*(\vec{x}_i) w(\vec{x}_i)^3 \,, \]

where if a pair of catalogues are provided,

\[ {\sum_i}{\vphantom{\sum}}' = \sum_{i \in \mathrm{data}} - \alpha^3 \sum_{i \in \mathrm{rand}} \,, \]

and otherwise

\[ {\sum_i}{\vphantom{\sum}}' = \alpha^3 \sum_{i \in \mathrm{data\ or\ rand}} \,. \]

See also: Eq. (46) in Sugiyama et al. (2019) [1803.02132].

Parameters

particles_data	(Data-source) particle catalogue.
particles_rand	(Random-source) particle catalogue.
los_data	(Data-source) particle lines of sight.
los_rand	(Random-source) particle lines of sight.
alpha	Alpha contrast.
ell	Degree of the spherical harmonic.
m	Order of the spherical harmonic.

Returns: Weighted shot-noise contribution for bispectrum.

Definition at line 156 of file threept.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ calc_ylm_wgtd_shotnoise_amp_for_bispec() [2/2]

std::complex< double > trv::calc_ylm_wgtd_shotnoise_amp_for_bispec	(	ParticleCatalogue &	particles,
		LineOfSight *	los,
		double	alpha,
		int	ell,
		int	m )

Calculate bispectrum shot noise amplitude weighted by reduced spherical harmonics.

Parameters

particles	Particle catalogue.
los	Particle lines of sight.
alpha	Alpha contrast.
ell	Degree of the spherical harmonic.
m	Order of the spherical harmonic.

Returns: Weighted shot-noise amplitude for bispectrum.

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Definition at line 210 of file threept.cpp.

Here is the call graph for this function:

◆ compute_bispec()

trv::BispecMeasurements trv::compute_bispec	(	ParticleCatalogue &	catalogue_data,
		ParticleCatalogue &	catalogue_rand,
		LineOfSight *	los_data,
		LineOfSight *	los_rand,
		trv::ParameterSet &	params,
		trv::Binning &	kbinning,
		double	norm_factor )

Compute bispectrum from paired survey-type catalogues.

Parameters

catalogue_data	(Data-source) particle catalogue.
catalogue_rand	(Random-source) particle catalogue.
los_data	(Data-source) particle lines of sight.
los_rand	(Random-source) particle lines of sight.
params	Parameter set.
kbinning	Wavenumber binning.
norm_factor	Normalisation factor.

Returns: Bispectrum measurements.

Definition at line 248 of file threept.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ compute_3pcf()

trv::ThreePCFMeasurements trv::compute_3pcf	(	ParticleCatalogue &	catalogue_data,
		ParticleCatalogue &	catalogue_rand,
		LineOfSight *	los_data,
		LineOfSight *	los_rand,
		trv::ParameterSet &	params,
		trv::Binning &	rbinning,
		double	norm_factor )

Compute three-point correlation function from paired survey-type catalogues.

Parameters

catalogue_data	(Data-source) particle catalogue.
catalogue_rand	(Random-source) particle catalogue.
los_data	(Data-source) particle lines of sight.
los_rand	(Random-source) particle lines of sight.
params	Parameter set.
rbinning	Separation binning.
norm_factor	Normalisation factor.

Returns: Three-point correlation function measurements.

Definition at line 1014 of file threept.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ compute_bispec_in_gpp_box()

trv::BispecMeasurements trv::compute_bispec_in_gpp_box	(	ParticleCatalogue &	catalogue_data,
		trv::ParameterSet &	params,
		trv::Binning	kbinning,
		double	norm_factor )

Compute bispectrum in a periodic box in the global plane-parallel approximation.

Parameters

catalogue_data	(Data-source) particle catalogue.
params	Parameter set.
kbinning	Wavenumber binning.
norm_factor	Normalisation factor.

Returns: Bispectrum measurements.

Definition at line 1473 of file threept.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ compute_3pcf_in_gpp_box()

trv::ThreePCFMeasurements trv::compute_3pcf_in_gpp_box	(	ParticleCatalogue &	catalogue_data,
		trv::ParameterSet &	params,
		trv::Binning &	rbinning,
		double	norm_factor )

Compute three-point correlation function in a periodic box in the global plane-parallel approximation.

Parameters

catalogue_data	(Data-source) particle catalogue.
params	Parameter set.
rbinning	Separation binning.
norm_factor	Normalisation factor.

Returns: Three-point correlation function measurements.

Definition at line 2190 of file threept.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ compute_3pcf_window()

trv::ThreePCFWindowMeasurements trv::compute_3pcf_window	(	ParticleCatalogue &	catalogue_rand,
		LineOfSight *	los_rand,
		trv::ParameterSet &	params,
		trv::Binning &	rbinning,
		double	alpha,
		double	norm_factor,
		bool	wide_angle = false )

Compute three-point correlation function window from a random catalogue.

Parameters

catalogue_rand	(Random-source) particle catalogue.
los_rand	(Random-source) particle lines of sight.
params	Parameter set.
rbinning	Separation binning.
alpha	Alpha contrast.
norm_factor	Normalisation factor.
wide_angle	Whether wide-angle corrections or not (default is `false`).

Returns: Three-point correlation function window measurements.

Definition at line 2621 of file threept.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ calc_coupling_coeff_2pt()

double trv::calc_coupling_coeff_2pt	(	int	ell,
		int	ELL,
		int	m,
		int	M )

Calculate the coupling coefficient for spherical-harmonic components of full two-point statistics.

The calculated quantity is

\[ (2\ell + 1) (2L + 1) W(\ell, 0, L; m, 0, M) \,. \]

Parameters

ell,ELL,m,M Wigner 3-j components.

Returns: Coupling coefficient for spherical-harmonic components in two-point statistics.

Definition at line 45 of file twopt.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ calc_powspec_normalisation_from_particles()

double trv::calc_powspec_normalisation_from_particles	(	ParticleCatalogue &	particles,
		double	alpha = 1. )

Calculate particle-based power spectrum normalisation.

Parameters

particles	Particle catalogue.
alpha	Alpha contrast (default is 1.).

Returns: Power spectrum normalisation factor.

Definition at line 56 of file twopt.cpp.

Here is the caller graph for this function:

◆ calc_powspec_normalisation_from_mesh()

double trv::calc_powspec_normalisation_from_mesh	(	trv::ParticleCatalogue &	particles,
		trv::ParameterSet &	params,
		double	alpha = 1. )

Calculate mesh-based power spectrum normalisation.

Parameters

particles	Particle catalogue.
params	Parameter set.
alpha	Alpha contrast (default is 1.).

Returns: Power spectrum normalisation factor.

Definition at line 98 of file twopt.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ calc_powspec_normalisation_from_meshes() [1/2]

double trv::calc_powspec_normalisation_from_meshes	(	trv::ParticleCatalogue &	particles_data,
		trv::ParticleCatalogue &	particles_rand,
		trv::ParameterSet &	params,
		double	alpha )

Calculate power spectrum normalisation from mixed meshes.

This normalisation convention is used for paired survey-type catalogues only, where the two meshes come from separate data- and random-source particle catalogues.

See also: pypower documentation.

Parameters

particles_data	Data-source particle catalogue.
particles_rand	Random-source particle catalogue.
params	Parameter set.
alpha	Alpha contrast.

Returns: Power spectrum normalisation factor.

Definition at line 111 of file twopt.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ calc_powspec_normalisation_from_meshes() [2/2]

double trv::calc_powspec_normalisation_from_meshes	(	trv::ParticleCatalogue &	particles_data,
		trv::ParticleCatalogue &	particles_rand,
		trv::ParameterSet &	params,
		double	alpha,
		double	padding,
		double	cellsize,
		const std::string &	assignment )

Calculate power spectrum normalisation from mixed meshes.

The box size per dimension is internally determined by the particle coordinate extents, with a padding factor applied. The mesh number in each dimension is determined by the box size and the cell size.

Parameters

particles_data	Data-source particle catalogue.
particles_rand	Random-source particle catalogue.
params	Parameter set.
alpha	Alpha contrast.
padding	Padding factor for the box size in each dimension. This overrides the box size set in the parameter set.
cellsize	Cell size of the mesh grid in each dimension. This overrides the mesh number set in the parameter set.
assignment	Assignment scheme for particles to mesh. This overrides the assignment scheme set in the parameter set.

Returns: Power spectrum normalisation factor.

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Definition at line 230 of file twopt.cpp.

Here is the call graph for this function:

◆ calc_powspec_shotnoise_from_particles()

double trv::calc_powspec_shotnoise_from_particles	(	ParticleCatalogue &	particles,
		double	alpha = 1. )

Calculate particle-based power spectrum shot noise level.

Parameters

particles	Particle catalogue.
alpha	Alpha contrast (default is 1.).

Returns: Power spectrum normalisation factor.

Definition at line 271 of file twopt.cpp.

◆ calc_ylm_wgtd_shotnoise_amp_for_powspec() [1/2]

std::complex< double > trv::calc_ylm_wgtd_shotnoise_amp_for_powspec	(	ParticleCatalogue &	particles_data,
		ParticleCatalogue &	particles_rand,
		LineOfSight *	los_data,
		LineOfSight *	los_rand,
		double	alpha,
		int	ell,
		int	m )

Calculate power spectrum shot noise weighted by reduced spherical harmonics.

This calculates the quantity

\[ \bar{N}_{LM}(\vec{x}) = {\sum_i}{\vphantom{\sum}}' y_{LM}^*(\hat{\vec{x}}) w(\vec{x})^2 \,, \]

where if a pair of catalogues are provided,

\[ {\sum_i}{\vphantom{\sum}}' = \sum_{i \in \mathrm{data}} + \alpha^2 \sum_{i \in \mathrm{rand}} \,, \]

and otherwise

\[ {\sum_i}{\vphantom{\sum}}' = \alpha^2 \sum_{i \in \mathrm{data\ or\ rand}} \,. \]

Parameters

particles_data	(Data-source) particle catalogue.
particles_rand	(Random-source) particle catalogue.
los_data	(Data-source) particle lines of sight.
los_rand	(Random-source) particle lines of sight.
alpha	Alpha contrast.
ell	Degree of the spherical harmonic.
m	Order of the spherical harmonic.

Returns: Weighted shot noise for power spectrum.

Definition at line 298 of file twopt.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ calc_ylm_wgtd_shotnoise_amp_for_powspec() [2/2]

std::complex< double > trv::calc_ylm_wgtd_shotnoise_amp_for_powspec	(	ParticleCatalogue &	particles,
		LineOfSight *	los,
		double	alpha,
		int	ell,
		int	m )

Calculate power spectrum shot noise weighted by reduced spherical harmonics.

Parameters

particles	Particle catalogue.
los	Particle lines of sight.
alpha	Alpha contrast.
ell	Degree of the spherical harmonic.
m	Order of the spherical harmonic.

Returns: Weighted power spectrum shot noise.

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Definition at line 352 of file twopt.cpp.

Here is the call graph for this function:

◆ compute_powspec()

trv::PowspecMeasurements trv::compute_powspec	(	ParticleCatalogue &	catalogue_data,
		ParticleCatalogue &	catalogue_rand,
		LineOfSight *	los_data,
		LineOfSight *	los_rand,
		trv::ParameterSet &	params,
		trv::Binning &	kbinning,
		double	norm_factor )

Compute power spectrum from paired survey-type catalogues.

Parameters

catalogue_data	(Data-source) particle catalogue.
catalogue_rand	(Random-source) particle catalogue.
los_data	(Data-source) particle lines of sight.
los_rand	(Random-source) particle lines of sight.
params	Parameter set.
kbinning	Wavenumber binning.
norm_factor	Normalisation factor.

Returns: Power spectrum measurements.

Definition at line 388 of file twopt.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ compute_corrfunc()

trv::TwoPCFMeasurements trv::compute_corrfunc	(	ParticleCatalogue &	catalogue_data,
		ParticleCatalogue &	catalogue_rand,
		LineOfSight *	los_data,
		LineOfSight *	los_rand,
		trv::ParameterSet &	params,
		trv::Binning &	rbinning,
		double	norm_factor )

Compute two-point correlation function from paired survey-type catalogues.

Parameters

catalogue_data	(Data-source) particle catalogue.
catalogue_rand	(Random-source) particle catalogue.
los_data	(Data-source) particle lines of sight.
los_rand	(Random-source) particle lines of sight.
params	Parameter set.
rbinning	Separation binning.
norm_factor	Normalisation factor.

Returns: Two-point correlation function measurements.

Definition at line 498 of file twopt.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ compute_powspec_in_gpp_box()

trv::PowspecMeasurements trv::compute_powspec_in_gpp_box	(	ParticleCatalogue &	catalogue_data,
		trv::ParameterSet &	params,
		trv::Binning	kbinning,
		double	norm_factor )

Compute power spectrum in a periodic box in the global plane-parallel approximation.

Parameters

catalogue_data	(Data-source) particle catalogue.
params	Parameter set.
kbinning	Wavenumber binning.
norm_factor	Normalisation factor.

Returns: Power spectrum measurements.

Definition at line 609 of file twopt.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ compute_corrfunc_in_gpp_box()

trv::TwoPCFMeasurements trv::compute_corrfunc_in_gpp_box	(	ParticleCatalogue &	catalogue_data,
		trv::ParameterSet &	params,
		trv::Binning &	rbinning,
		double	norm_factor )

Compute two-point correlation function in a periodic box in the global plane-parallel approximation.

Parameters

catalogue_data	(Data-source) particle catalogue.
params	Parameter set.
rbinning	Separation binning.
norm_factor	Normalisation factor.

Returns: Two-point correlation function measurements.

Definition at line 703 of file twopt.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ compute_corrfunc_window()

trv::TwoPCFWindowMeasurements trv::compute_corrfunc_window	(	trv::ParticleCatalogue &	catalogue_rand,
		trv::LineOfSight *	los_rand,
		trv::ParameterSet &	params,
		trv::Binning	rbinning,
		double	alpha,
		double	norm_factor )

Compute two-point correlation function window from a random catalogue and optionally save the results.

Parameters

catalogue_rand	(Random-source) particle catalogue.
los_rand	(Random-source) particle lines of sight.
params	Parameter set.
rbinning	Separation binning.
alpha	Alpha contrast.
norm_factor	Normalisation factor.

Returns: Two-point correlation function window measurements.

Definition at line 795 of file twopt.cpp.

Here is the call graph for this function:

Here is the caller graph for this function:

Namespaces

Classes

Functions

Function Documentation

◆ override_paramset_by_envvars()

◆ set_boxsize_from_expand()

◆ set_ngrid_from_cutoff()

◆ calc_coupling_coeff_3pt()

◆ validate_multipole_coupling()

◆ calc_bispec_normalisation_from_particles()

◆ calc_bispec_normalisation_from_mesh()

◆ calc_ylm_wgtd_shotnoise_amp_for_bispec() [1/2]

◆ calc_ylm_wgtd_shotnoise_amp_for_bispec() [2/2]

◆ compute_bispec()

◆ compute_3pcf()

◆ compute_bispec_in_gpp_box()

◆ compute_3pcf_in_gpp_box()

◆ compute_3pcf_window()

◆ calc_coupling_coeff_2pt()

◆ calc_powspec_normalisation_from_particles()

◆ calc_powspec_normalisation_from_mesh()

◆ calc_powspec_normalisation_from_meshes() [1/2]

◆ calc_powspec_normalisation_from_meshes() [2/2]

◆ calc_powspec_shotnoise_from_particles()

◆ calc_ylm_wgtd_shotnoise_amp_for_powspec() [1/2]

◆ calc_ylm_wgtd_shotnoise_amp_for_powspec() [2/2]

◆ compute_powspec()

◆ compute_corrfunc()

◆ compute_powspec_in_gpp_box()

◆ compute_corrfunc_in_gpp_box()

◆ compute_corrfunc_window()