ModelFunction_NumberCounts1D_Redshift.cpp

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/********************************************************************
 *  Copyright (C) 2016 by Federico Marulli and Alfonso Veropalumbo  *
 *  federico.marulli3@unibo.it                                      *
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#include "ModelFunction_NumberCounts1D_Redshift.h"
 
using namespace std;
 
using namespace cbl;
 
 
// ===========================================================================================
 
 
std::vector<double> cbl::modelling::numbercounts::number_density_redshift (const std::vector<double> redshift, const std::shared_ptr<void> inputs, std::vector<double> &parameter)
{
  // structure contaning the required input data
  shared_ptr<STR_NC_data_model> pp = static_pointer_cast<STR_NC_data_model>(inputs);
 
  // redefine the cosmology
  cbl::cosmology::Cosmology cosmo = *pp->cosmology;
 
  // input likelihood parameters
 
  // set the cosmological parameters used to compute the dark matter
  // two-point correlation function in real space
  for (size_t i=0; i<pp->Cpar.size(); ++i)
    cosmo.set_parameter(pp->Cpar[i], parameter[i]);
 
  // compute the power spectrum
  std::vector<double> Pk = cosmo.Pk_matter(pp->kk, pp->method_Pk, false, 0., pp->store_output, pp->output_root, pp->norm, pp->k_min, pp->k_max, pp->prec, pp->file_par, true);
 
  std::vector<std::vector<double>> mass_function = cbl::modelling::numbercounts::mass_function(redshift, pp->Mass_vector, cosmo, pp->model_MF, pp->store_output, pp->Delta, pp->isDelta_critical, pp->kk, Pk, "Spline", pp->k_max);
 
  std::vector<double> number_density(redshift.size());
 
  for (size_t i=0; i<redshift.size(); i++) {
    glob::FuncGrid interpMF(pp->Mass_vector, mass_function[i], "Spline");
    number_density[i] = interpMF.integrate_qag(pp->Mass_min, pp->Mass_max);
  }
 
  return number_density;
}
 
 
// ===========================================================================================
 
 
std::vector<double> cbl::modelling::numbercounts::number_counts_redshift (const std::vector<double> redshift, const std::shared_ptr<void> inputs, std::vector<double> &parameter)
{ 
  // structure contaning the required input data
  shared_ptr<STR_NC_data_model> pp = static_pointer_cast<STR_NC_data_model>(inputs);
 
  // redefine the cosmology
  cbl::cosmology::Cosmology cosmo = *pp->cosmology;
 
  // input likelihood parameters
 
  // set the cosmological parameters used to compute the dark matter
  // two-point correlation function in real space
  for (size_t i=0; i<pp->Cpar.size(); ++i) {
    cosmo.set_parameter(pp->Cpar[i], parameter[i]);
  }
 
  // compute the power spectrum
  std::vector<double> Pk = cosmo.Pk_matter(pp->kk, pp->method_Pk, false, 0., pp->store_output, pp->output_root, pp->norm, pp->k_min, pp->k_max, pp->prec, pp->file_par, true);
 
  std::vector<std::vector<double>> mass_function = cbl::modelling::numbercounts::mass_function (redshift, pp->Mass_vector, cosmo, pp->model_MF, pp->store_output, pp->Delta, pp->isDelta_critical, pp->kk, Pk, "Spline", pp->k_max);
 
  std::vector<double> number_counts(redshift.size());
 
  for (size_t i=0; i<redshift.size(); i++) {
    glob::FuncGrid interpMF(pp->Mass_vector, mass_function[i], "Spline");
    number_counts[i] = pp->area_rad*interpMF.integrate_qag(pp->Mass_min, pp->Mass_max)*cosmo.dV_dZdOmega(redshift[i], true)*(pp->edges_x[i+1]-pp->edges_x[i]);
  }
 
  return number_counts;
}