DAFParameters.h

/**************************************************************************
 * basf2 (Belle II Analysis Software Framework)                           *
 * Author: The Belle II Collaboration                                     *
 *                                                                        *
 * See git log for contributors and copyright holders.                    *
 * This file is licensed under LGPL-3.0, see LICENSE.md.                  *
 **************************************************************************/
#pragma once
 
#include <TObject.h>
#include <tuple>
 
namespace Belle2 {

  class DAFParameters: public TObject {
 
  public:

    DAFParameters() {}
    ~DAFParameters() {}

    void setDeltaPValue(const float pvalue)
    {
      m_DeltaPValue = pvalue;
    }

    void setDeltaWeight(const float weight)
    {
      m_DeltaWeight = weight;
    }

    void setProbabilityCut(const float probabilitycut)
    {
      m_ProbabilityCut = probabilitycut;
    }

    void setAnnealingScheme(const float temperaturestart, const float temperaturefinal, const int numberofiterations)
    {
      m_TemperatureStart = temperaturestart;
      m_TemperatureFinal = temperaturefinal;
      m_NumberOfIterations = numberofiterations;
    }

    void setMinimumIterations(const int minimumiterations)
    {
      m_MinimumIterations = minimumiterations;
    }

    void setMaximumIterations(const int maximumiterations)
    {
      m_MaximumIterations = maximumiterations;
    }

    void setMinimumIterationsForPVal(const int minimumiterationsforpval)
    {
      m_MinimumIterationsForPVal = minimumiterationsforpval;
    }

    void setMaximumFailedHits(const int maximumfailedhits)
    {
      m_MaximumFailedHits = maximumfailedhits;
    }

    void setMinimumPValue(const float minimumPValue)
    {
      m_MinimumPValue = minimumPValue;
    }
 

    float getDeltaPValue() const
    {
      return m_DeltaPValue;
    }

    float getDeltaWeight() const
    {
      return m_DeltaWeight;
    }

    float getProbabilityCut() const
    {
      return m_ProbabilityCut;
    }

    std::tuple<float, float, int> getAnnealingScheme() const
    {
      return std::tuple<float, float, int>(m_TemperatureStart, m_TemperatureFinal, m_NumberOfIterations);
    }

    int getMinimumIterations() const
    {
      return m_MinimumIterations;
    }

    int getMaximumIterations() const
    {
      return m_MaximumIterations;
    }

    int getMinimumIterationsForPVal() const
    {
      return m_MinimumIterationsForPVal;
    }

    int getMaximumFailedHits() const
    {
      return m_MaximumFailedHits;
    }

    float getMinimumPValue() const
    {
      return m_MinimumPValue;
    }
 
  private:
    float m_DeltaPValue = 1;
    float m_DeltaWeight = 0.001;
    float m_ProbabilityCut = 0.001;
    float m_TemperatureStart = 100;
    float m_TemperatureFinal = 0.1;
    int m_NumberOfIterations = 5;
    int m_MinimumIterations = 5;
    int m_MaximumIterations = 9;
    int m_MinimumIterationsForPVal = 5;
    int m_MaximumFailedHits = 5;
    float m_MinimumPValue = 0.;
 
    ClassDef(DAFParameters, 1);  
  };

}