#include <Modelling_Cosmology.h>

Inheritance diagram for cbl::modelling::cosmo::Modelling_Cosmology:

Collaboration diagram for cbl::modelling::cosmo::Modelling_Cosmology:

Public Member Functions
void	set_fiducial_cosmology (const cbl::cosmology::Cosmology cosmology)
	set the fiducial cosmology More...

std::shared_ptr< cbl::cosmology::Cosmology >	fiducial_cosmology ()
	set the fiducial cosmology More...

void	set_cosmological_parameters (const std::vector< cbl::cosmology::CosmologicalParameter > cosmoPar_name, const std::vector< cbl::statistics::PriorDistribution > cosmoPar_prior, const std::string distance_prior=par::defaultString, const std::vector< std::string > external_dataset={})
	set the cosmological parameters More...

Constructors/destructors
	Modelling_Cosmology ()=default
	default constuctor

	Modelling_Cosmology (const std::shared_ptr< cbl::data::Data > dataset, const std::vector< std::string > data_type)
	constuctor More...

	~Modelling_Cosmology ()=default
	default destructor

Public Member Functions inherited from cbl::modelling::Modelling
void	m_set_posterior (const int seed)
	set the interal variable m_posterior More...

	Modelling ()=default
	default constuctor

virtual	~Modelling ()=default
	default destructor

std::shared_ptr< data::Data >	data ()
	return the dataset More...

std::shared_ptr< data::Data >	data_fit ()
	return the dataset More...

std::shared_ptr< statistics::Likelihood >	likelihood ()
	return the likelihood parameters More...

std::shared_ptr< statistics::Posterior >	posterior ()
	return the posterior parameters More...

std::shared_ptr< statistics::ModelParameters >	likelihood_parameters ()
	return the likelihood parameters More...

std::shared_ptr< statistics::ModelParameters >	posterior_parameters ()
	return the posterior parameters More...

virtual void	set_parameter_from_string (const std::string parameter, const double value)
	set the value of a parameter providing its name string More...

virtual double	get_parameter_from_string (const std::string parameter) const
	get the value of a parameter providing its name string More...

std::shared_ptr< statistics::PriorDistribution >	get_prior (const int i)
	get the internal variable m_parameter_priors More...

std::shared_ptr< statistics::Model >	get_response_function ()
	return the response function used to compute the super-sample covariance More...

void	reset_fit_range ()
	reset the fit range More...

void	set_fit_range (const double xmin, const double xmax)
	set the fit range More...

void	set_fit_range (const double xmin, const double xmax, const double ymin, const double ymax)
	set the fit range More...

void	set_data (const std::shared_ptr< data::Data > dataset)
	set the dataset More...

void	set_likelihood (const statistics::LikelihoodType likelihood_type, const std::vector< size_t > x_index={0, 2}, const int w_index=-1, const double prec=1.e-10, const int Nres=-1)
	set the likelihood function More...

void	set_likelihood (const cbl::statistics::Likelihood_function log_likelihood_function)
	set the likelihood function, given a user-defined log-likelihood function More...

void	maximize_likelihood (const std::vector< double > start, const std::vector< std::vector< double >> parameter_limits, const unsigned int max_iter=10000, const double tol=1.e-6, const double epsilon=1.e-3)
	function that maximizes the posterior, finds the best-fit parameters and stores them in the model More...

void	maximize_posterior (const std::vector< double > start, const unsigned int max_iter=10000, const double tol=1.e-6, const double epsilon=1.e-3, const int seed=666)
	function that maximizes the posterior, finds the best-fit parameters and stores them in the model More...

void	sample_posterior (const int chain_size, const int nwalkers, const int seed=666, const double aa=2, const bool parallel=true)
	sample the posterior, initializing the chains by drawing from the prior distributions More...

void	sample_posterior (const int chain_size, const int nwalkers, const double radius, const std::vector< double > start, const unsigned int max_iter=10000, const double tol=1.e-6, const double epsilon=1.e-3, const int seed=666, const double aa=2, const bool parallel=true)
	sample the posterior, initializing the chains in a ball around the posterior best-fit parameters values More...

void	sample_posterior (const int chain_size, const int nwalkers, std::vector< double > &value, const double radius, const int seed=666, const double aa=2, const bool parallel=true)
	sample the posterior, initializing the chains by drawing from the prior distributions More...

void	sample_posterior (const int chain_size, const std::vector< std::vector< double >> chain_value, const int seed=666, const double aa=2, const bool parallel=true)
	sample the posterior, initializing the chains with input values More...

void	sample_posterior (const int chain_size, const int nwalkers, const std::string input_dir, const std::string input_file, const int seed=666, const double aa=2, const bool parallel=true)
	sample the posterior, initializing the chains reading the input values from an input file More...

void	importance_sampling (const std::string input_dir, const std::string input_file, const int seed=666, const std::vector< size_t > column={}, const int header_lines_to_skip=1, const bool is_FITS_format=false, const bool apply_to_likelihood=false)
	perform importance sampling More...

void	write_chain (const std::string output_dir, const std::string output_file, const int start=0, const int thin=1, const bool is_FITS_format=false, const int prec=5, const int ww=14)
	write the chains obtained after the MCMC sampling More...

void	read_chain (const std::string input_dir, const std::string input_file, const int nwalkers, const std::vector< size_t > columns={}, const int skip_header=1, const bool fits=false)
	read the chains More...

void	show_results (const int start=0, const int thin=1, const int nbins=50, const bool show_mode=false, const int ns=-1)
	show the results of the MCMC sampling on screen More...

void	write_results (const std::string output_dir, const std::string root_file, const int start=0, const int thin=1, const int nbins=50, const bool fits=false, const bool compute_mode=false, const int ns=-1)
	write the results of the MCMC sampling to file More...

virtual void	write_model (const std::string output_dir, const std::string output_file, const std::vector< double > xx, const std::vector< double > parameters)
	write the model at xx for given parameters More...

virtual void	write_model (const std::string output_dir, const std::string output_file, const std::vector< double > xx, const std::vector< double > yy, const std::vector< double > parameters)
	write the model at xx, yy for given parameters More...

virtual void	write_model_at_bestfit (const std::string output_dir, const std::string output_file, const std::vector< double > xx)
	write the model at xx with best-fit parameters obtained from posterior maximization More...

virtual void	write_model_at_bestfit (const std::string output_dir, const std::string output_file, const std::vector< double > xx, const std::vector< double > yy)
	write the model at xx, yy with best-fit parameters obtained from likelihood maximization More...

virtual void	write_model_from_chains (const std::string output_dir, const std::string output_file, const std::vector< double > xx, const int start=0, const int thin=1)
	write the model at xx computing 16th, 50th and 84th percentiles from the chains More...

virtual void	write_model_from_chains (const std::string output_dir, const std::string output_file, const std::vector< double > xx, const std::vector< double > yy, const int start=0, const int thin=1)
	write the model at xx, yy computing 16th, 50th and 84th percentiles from the chains More...

double	reduced_chi2 (const std::vector< double > parameter={})
	the reduced \(\chi^2\) More...

Protected Attributes
std::shared_ptr< cbl::cosmology::Cosmology >	m_cosmology
	cosmology

std::map< cbl::cosmology::CosmologicalParameter, int >	m_map_cosmoPar
	map with cosmological parameters

std::vector< std::string >	m_data_type
	the cosmological measurements

STR_data_model_cosmology	m_data_model
	the container of parameters for model computation

Protected Attributes inherited from cbl::modelling::Modelling
std::shared_ptr< data::Data >	m_data = NULL
	input data to be modelled

bool	m_fit_range = false
	check if fit range has been set

std::shared_ptr< data::Data >	m_data_fit
	input data restricted to the range used for the fit

std::shared_ptr< statistics::Model >	m_model = NULL
	input model

std::shared_ptr< statistics::Model >	m_response_func = NULL
	response function for the computation of the super-sample covariance

std::shared_ptr< statistics::Likelihood >	m_likelihood = NULL
	likelihood

std::vector< std::shared_ptr< statistics::PriorDistribution > >	m_parameter_priors
	prior

std::shared_ptr< statistics::Posterior >	m_posterior = NULL
	posterior

Additional Inherited Members
Protected Member Functions inherited from cbl::modelling::Modelling
void	m_set_prior (std::vector< statistics::PriorDistribution > prior_distribution)
	set the internal variable m_parameter_priors More...

void	m_isSet_response ()
	check if the response function used to compute the super-sample covariance is set

Detailed Description

The class Modelling_Cosmology.

"Headers/Modelling_Cosmology.h"

This file defines the interface of the base class Modelling_Cosmology, used for modelling cosmological measurements

Examples: model_cosmology.cpp.

Definition at line 69 of file Modelling_Cosmology.h.

Constructor & Destructor Documentation

◆ Modelling_Cosmology()

cbl::modelling::cosmo::Modelling_Cosmology::Modelling_Cosmology	(	const std::shared_ptr< cbl::data::Data >	dataset,
		const std::vector< std::string >	data_type
	)

constuctor

Parameters

dataset	the dataset containing the input measurements to be modelled
data_type	the type of cosmological measurements to be modelled

Definition at line 63 of file Modelling_Cosmology.cpp.

Member Function Documentation

◆ fiducial_cosmology()

std::shared_ptr<cbl::cosmology::Cosmology> cbl::modelling::cosmo::Modelling_Cosmology::fiducial_cosmology ( )

inline

set the fiducial cosmology

Returns: pointer to object of class Cosmology

Definition at line 127 of file Modelling_Cosmology.h.

◆ set_cosmological_parameters()

void cbl::modelling::cosmo::Modelling_Cosmology::set_cosmological_parameters	(	const std::vector< cbl::cosmology::CosmologicalParameter >	cosmoPar_name,
		const std::vector< cbl::statistics::PriorDistribution >	cosmoPar_prior,
		const std::string	distance_prior = `par::defaultString`,
		const std::vector< std::string >	external_dataset = `{}`
	)

set the cosmological parameters

Parameters

cosmoPar_name	vector of cosmological parameter names
cosmoPar_prior	vector of cosmological parameter priors
distance_prior	the CMB distance prior name
external_dataset	external dataset file name

Examples: model_cosmology.cpp.

Definition at line 82 of file Modelling_Cosmology.cpp.

◆ set_fiducial_cosmology()

void cbl::modelling::cosmo::Modelling_Cosmology::set_fiducial_cosmology ( const cbl::cosmology::Cosmology cosmology )

set the fiducial cosmology

Parameters

cosmology the fiducial cosmology

Examples: model_cosmology.cpp.

Definition at line 73 of file Modelling_Cosmology.cpp.

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

Headers/Modelling_Cosmology.h
Modelling/Cosmology/Modelling_Cosmology.cpp

Public Member Functions

Protected Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ Modelling_Cosmology()

Member Function Documentation

◆ fiducial_cosmology()

◆ set_cosmological_parameters()

◆ set_fiducial_cosmology()