/data/refman/pasoursint/CMSSW_5_3_0/src/FastSimulation/Utilities/src/GaussianTail.cc

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#include "FastSimulation/Utilities/interface/GaussianTail.h"
#include "FastSimulation/Utilities/interface/RandomEngine.h"

#include <cmath>
GaussianTail::GaussianTail(const RandomEngine* engine,
                           double sigma,double threshold) : 
  random(engine),
  sigma_(sigma),
  threshold_(threshold)
{
  s_=threshold_/sigma_;
  ssquare_ = s_ * s_;
}

GaussianTail::~GaussianTail()
{
  ;
}

double GaussianTail::shoot() const
{
  // in the zero suppresion case, s is usually >2 
  if(s_>1.)
    {
      /* Use the "supertail" deviates from the last two steps
       * of Marsaglia's rectangle-wedge-tail method, as described
       * in Knuth, v2, 3rd ed, pp 123-128.  (See also exercise 11, p139,
       * and the solution, p586.)
       */
      
      double u, v, x;
      
      do
        {
          u = random->flatShoot();
          do
            {
              v = random->flatShoot();
            }
          while (v == 0.0);
          x = std::sqrt (ssquare_ - 2 * std::log (v));
        }
      while (x * u > s_);
      return x * sigma_;
    }
  else
    {
       /* For small s, use a direct rejection method. The limit s < 1
         can be adjusted to optimise the overall efficiency 
       */
      
      double x;

      do
        {
          x = random->gaussShoot();
        }
      while (x < s_);
      return x * sigma_; 
    }
}