TruncatedGaussian.C

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//* This file is part of the MOOSE framework
//* https://mooseframework.inl.gov
//*
//* All rights reserved, see COPYRIGHT for full restrictions
//* https://github.com/idaholab/moose/blob/master/COPYRIGHT
//*
//* Licensed under LGPL 2.1, please see LICENSE for details
//* https://www.gnu.org/licenses/lgpl-2.1.html
 
#include "TruncatedGaussian.h"
#include "TruncatedNormal.h"
 
registerMooseObject("StochasticToolsApp", TruncatedGaussian);
 
InputParameters
TruncatedGaussian::validParams()
{
  InputParameters params = Gaussian::validParams();
  params.addClassDescription(
      "TruncatedGaussian likelihood function evaluating the model goodness against experiments.");
  params.addRequiredParam<Real>("lower_bound", "Lower bound for the quantity of interest.");
  params.addRequiredParam<Real>("upper_bound", "Upper bound for the quantity of interest.");
  return params;
}
 
TruncatedGaussian::TruncatedGaussian(const InputParameters & parameters)
  : Gaussian(parameters),
    _lower_bound(getParam<Real>("lower_bound")),
    _upper_bound(getParam<Real>("upper_bound"))
{
  if (!(_lower_bound < _upper_bound))
    mooseError("The specified lower bound should be less than the upper bound.");
}
 
Real
TruncatedGaussian::function(const std::vector<Real> & exp,
                            const std::vector<Real> & model,
                            const Real & noise,
                            const Real & lower_bound,
                            const Real & upper_bound,
                            const bool & log_likelihood)
{
  Real result = 0.0;
  for (unsigned i = 0; i < exp.size(); ++i)
    result += std::log(TruncatedNormal::pdf(exp[i], model[i], noise, lower_bound, upper_bound));
  if (!log_likelihood)
    result = std::exp(result);
  return result;
}
 
Real
TruncatedGaussian::function(const std::vector<Real> & x) const
{
  return function(_exp_values, x, _noise, _lower_bound, _upper_bound, _log_likelihood);
}