CosmoBolognaLib
Free Software C++/Python libraries for cosmological calculations
cbl::modelling::numbercounts::Modelling_NumberCounts2D Member List

This is the complete list of members for cbl::modelling::numbercounts::Modelling_NumberCounts2D, including all inherited members.

data()cbl::modelling::Modellinginline
data_fit()cbl::modelling::Modellinginline
data_model()cbl::modelling::numbercounts::Modelling_NumberCountsinline
data_model_SF()cbl::modelling::numbercounts::Modelling_NumberCountsinline
get_parameter_from_string(const std::string parameter) constcbl::modelling::Modellinginlinevirtual
get_prior(const int i)cbl::modelling::Modellinginline
get_response_function()cbl::modelling::Modellinginline
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)cbl::modelling::Modelling
likelihood()cbl::modelling::Modelling
likelihood_parameters()cbl::modelling::Modelling
m_datacbl::modelling::Modellingprotected
m_data_fitcbl::modelling::Modellingprotected
m_data_modelcbl::modelling::numbercounts::Modelling_NumberCountsprotected
m_data_model_SFcbl::modelling::numbercounts::Modelling_NumberCountsprotected
m_factcbl::modelling::numbercounts::Modelling_NumberCountsprotected
m_fit_rangecbl::modelling::Modellingprotected
m_HistogramTypecbl::modelling::numbercounts::Modelling_NumberCountsprotected
m_isSet_response()cbl::modelling::Modellinginlineprotected
m_likelihoodcbl::modelling::Modellingprotected
m_modelcbl::modelling::Modellingprotected
m_parameter_priorscbl::modelling::Modellingprotected
m_posteriorcbl::modelling::Modellingprotected
m_response_funccbl::modelling::Modellingprotected
m_set_posterior(const int seed)cbl::modelling::Modelling
m_set_prior(std::vector< statistics::PriorDistribution > prior_distribution)cbl::modelling::Modellingprotected
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)cbl::modelling::Modelling
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)cbl::modelling::Modelling
Modelling()=defaultcbl::modelling::Modelling
Modelling_NumberCounts()=defaultcbl::modelling::numbercounts::Modelling_NumberCounts
Modelling_NumberCounts(const std::shared_ptr< cbl::measure::numbercounts::NumberCounts > nc)cbl::modelling::numbercounts::Modelling_NumberCountsinline
Modelling_NumberCounts(glob::HistogramType hist_type, double fact)cbl::modelling::numbercounts::Modelling_NumberCountsinline
Modelling_NumberCounts2D()=defaultcbl::modelling::numbercounts::Modelling_NumberCounts2D
Modelling_NumberCounts2D(const std::shared_ptr< cbl::measure::numbercounts::NumberCounts > nc)cbl::modelling::numbercounts::Modelling_NumberCounts2Dinline
Modelling_NumberCounts2D(const std::shared_ptr< cbl::data::Data > dataset, glob::HistogramType hist_type, double fact)cbl::modelling::numbercounts::Modelling_NumberCounts2Dinline
posterior()cbl::modelling::Modelling
posterior_parameters()cbl::modelling::Modelling
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)cbl::modelling::Modelling
reduced_chi2(const std::vector< double > parameter={})cbl::modelling::Modelling
reset_fit_range()cbl::modelling::Modellinginline
sample_posterior(const int chain_size, const int nwalkers, const int seed=666, const double aa=2, const bool parallel=true)cbl::modelling::Modelling
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)cbl::modelling::Modelling
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)cbl::modelling::Modelling
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)cbl::modelling::Modelling
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)cbl::modelling::Modelling
set_data(const std::shared_ptr< data::Data > dataset)cbl::modelling::Modellinginline
set_data_model(const cbl::cosmology::Cosmology cosmology={}, const double redshift=0., const std::string method_Pk="CAMB", const double k_min=1.e-4, const double k_max=100., const int step=500, const bool store_output=true, const int norm=-1, const double Delta=200., const bool isDelta_critical=true, const std::string model_MF="Tinker", const std::string selection_function_file=par::defaultString, const std::vector< int > selection_function_column={}, const double z_min=par::defaultDouble, const double z_max=par::defaultDouble, const int z_step=50, const double Mass_min=par::defaultDouble, const double Mass_max=par::defaultDouble, const int Mass_step=100, const double area_degrees=par::defaultDouble, const double prec=1.e-4)cbl::modelling::numbercounts::Modelling_NumberCounts
set_data_model(const cbl::cosmology::Cosmology cosmology, const std::vector< double > SF_weights, const double z_pivot, const double proxy_pivot, const double mass_pivot, const double log_base, const std::string method_Pk, const bool store_output=true, const int norm=-1, const double Delta=200., const bool isDelta_critical=true, const std::string model_MF="Tinker", const std::string model_bias="Tinker", const double z_min=par::defaultDouble, const double z_max=par::defaultDouble, const double area_degrees=par::defaultDouble, const double prec=1.e-4)cbl::modelling::numbercounts::Modelling_NumberCounts
set_data_model_SF(const cosmology::Cosmology cosmology, const std::vector< double > radii, const double redshift, const std::string model, const double b_eff, double slope=0.854, double offset=0.420, const double deltav_NL=-0.795, const double del_c=1.69, const std::string method_Pk="EisensteinHu", const double k_Pk_ratio=-1., const bool store_output=true, const std::string output_root="test", const std::string interpType="Linear", const double k_max=100., const std::string input_file=par::defaultString, const bool is_parameter_file=true)cbl::modelling::numbercounts::Modelling_NumberCounts
set_data_model_snapshot(const cbl::cosmology::Cosmology cosmology={}, const double redshift=0., const std::string method_Pk="CAMB", const double k_min=1.e-4, const double k_max=100., const int step=500, const bool store_output=true, const int norm=-1, const double Delta=200., const bool isDelta_critical=true, const std::string model_MF="Tinker", const double Volume=par::defaultDouble, const double Mass_min=par::defaultDouble, const double Mass_max=par::defaultDouble, const int Mass_step=100, const double prec=1.e-4)cbl::modelling::numbercounts::Modelling_NumberCountsinlinevirtual
set_fit_range(const double xmin, const double xmax)cbl::modelling::Modelling
set_fit_range(const double xmin, const double xmax, const double ymin, const double ymax)cbl::modelling::Modelling
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)cbl::modelling::Modelling
set_likelihood(const cbl::statistics::Likelihood_function log_likelihood_function)cbl::modelling::Modelling
set_parameter_from_string(const std::string parameter, const double value)cbl::modelling::Modellinginlinevirtual
show_results(const int start=0, const int thin=1, const int nbins=50, const bool show_mode=false, const int ns=-1)cbl::modelling::Modelling
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)cbl::modelling::Modelling
write_model(const std::string output_dir, const std::string output_file, const std::vector< double > xx, const std::vector< double > parameters)cbl::modelling::Modellingvirtual
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)cbl::modelling::Modellingvirtual
write_model_at_bestfit(const std::string output_dir, const std::string output_file, const std::vector< double > xx)cbl::modelling::Modellingvirtual
write_model_at_bestfit(const std::string output_dir, const std::string output_file, const std::vector< double > xx, const std::vector< double > yy)cbl::modelling::Modellingvirtual
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)cbl::modelling::Modellingvirtual
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)cbl::modelling::Modellingvirtual
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)cbl::modelling::Modelling
~Modelling()=defaultcbl::modelling::Modellingvirtual
~Modelling_NumberCounts()=defaultcbl::modelling::numbercounts::Modelling_NumberCountsvirtual
~Modelling_NumberCounts2D()=defaultcbl::modelling::numbercounts::Modelling_NumberCounts2Dvirtual