Modelling_ThreePointCorrelation_comoving_reduced.cpp

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/********************************************************************
 *  Copyright (C) 2017 by Federico Marulli                          *
 *  federico.marulli3@unibo.it                                      *
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 *  GNU General Public License for more details.                    *
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#include "Modelling_ThreePointCorrelation_comoving_reduced.h"
 
using namespace std;
 
using namespace cbl;
 
 
// ============================================================================================
    
 
void cbl::modelling::threept::Modelling_ThreePointCorrelation_comoving_reduced::set_model_nonlinear_localbias (const statistics::PriorDistribution bias1_prior, const statistics::PriorDistribution bias2_prior)
{
  // set the model parameters
  const int nparameters = 2;
 
  vector<statistics::ParameterType> parameterType(nparameters, statistics::ParameterType::_Base_);
 
  vector<string> parameterName(nparameters);
  parameterName[0] = "b1";
  parameterName[1] = "b2";
 
  vector<statistics::PriorDistribution> priors = {bias1_prior, bias2_prior};
 
  // input data used to construct the model
  auto inputs = make_shared<STR_data_model_threept>(m_data_model);
 
  //set the priors
  m_set_prior(priors);
 
  // construct the model
  m_model = make_shared<statistics::Model1D>(statistics::Model1D(&Q_nonlinear_localbias, nparameters, parameterType, parameterName, inputs));
}
 
 
// ============================================================================================
    
 
void cbl::modelling::threept::Modelling_ThreePointCorrelation_comoving_reduced::set_model_nonlinear_nonlocalbias (const statistics::PriorDistribution bias1_prior, const statistics::PriorDistribution bias2_prior, const statistics::PriorDistribution g2_prior)
{
  // set the model parameters
  const int nparameters = 3;
 
  vector<statistics::ParameterType> parameterType(nparameters, statistics::ParameterType::_Base_);
 
  vector<string> parameterName(nparameters);
  parameterName[0] = "b1";
  parameterName[1] = "b2";
  parameterName[2] = "g2";
 
  vector<statistics::PriorDistribution> priors = {bias1_prior, bias2_prior, g2_prior};
 
  // input data used to construct the model
  auto inputs = make_shared<STR_data_model_threept>(m_data_model);
 
  //set the priors
  m_set_prior(priors);
 
  // construct the model
  m_model = make_shared<statistics::Model1D>(statistics::Model1D(&Q_nonlinear_nonlocalbias, nparameters, parameterType, parameterName, inputs));
}
 
 
// ============================================================================================
  
 
void cbl::modelling::threept::Modelling_ThreePointCorrelation_comoving_reduced::set_model_nonlinear_nonlocalbias_alpha (const statistics::PriorDistribution bias1_prior, const statistics::PriorDistribution bias2_prior, const statistics::PriorDistribution g2_prior, const statistics::PriorDistribution alpha_prior)
{
  // set the model parameters
  const int nparameters = 4;
 
  vector<statistics::ParameterType> parameterType(nparameters, statistics::ParameterType::_Base_);
 
  vector<string> parameterName(nparameters);
  parameterName[0] = "b1";
  parameterName[1] = "b2";
  parameterName[2] = "g2";
  parameterName[3] = "alpha";
 
  vector<statistics::PriorDistribution> priors = {bias1_prior, bias2_prior, g2_prior, alpha_prior};
 
  // input data used to construct the model
  auto inputs = make_shared<STR_data_model_threept>(m_data_model);
 
  //set the priors
  m_set_prior(priors);
 
  // construct the model
  m_model = make_shared<statistics::Model1D>(statistics::Model1D(&Q_nonlinear_nonlocalbias_alpha, nparameters, parameterType, parameterName, inputs));
}