JFIT::JRegressor< JLine3Z, JGandalf > Struct Template Reference

Regressor function object for JLine3Z fit using JGandalf minimiser. More...

#include <JLine3ZRegressor.hh>

Inheritance diagram for JFIT::JRegressor< JLine3Z, JGandalf >:

Public Types
typedef JRegressorStorage < JLine3Z, JGandalf >	JRegressorStorage_t
typedef JGandalf< JLine3Z >	minimiser_type
typedef JRegressor< JLine3Z, JGandalf >	regressor_type
typedef minimiser_type::result_type	result_type
typedef JLine3Z::parameter_type	parameter_type
	Data type of fit parameter. More...
typedef JTOOLS::JSplineFunction1S_t	JFunction1D_t
typedef JTOOLS::JMAPLIST < JTOOLS::JPolint1FunctionalMap, JTOOLS::JPolint0FunctionalGridMap, JTOOLS::JPolint0FunctionalGridMap > ::maplist	JPDFMaplist_t
typedef JPHYSICS::JPDFTable < JFunction1D_t, JPDFMaplist_t >	JPDF_t
	time dependent PDF More...
typedef JTOOLS::JMAPLIST < JTOOLS::JPolint1FunctionalMapH, JTOOLS::JPolint1FunctionalGridMap, JTOOLS::JPolint1FunctionalGridMap > ::maplist	JNPEMaplist_t
typedef JPHYSICS::JNPETable < double, double, JNPEMaplist_t >	JNPE_t
	time integrated PDF More...
typedef JPDF_t::transformer_type	transformer_type
typedef std::array< JPDF_t, NUMBER_OF_PDFS >	JPDFs_t
	PDFs. More...
typedef std::array< JNPE_t, NUMBER_OF_PDFS >	JNPEs_t
	NPEs. More...

Public Member Functions
	JRegressor ()
	Default constructor. More...
	JRegressor (const std::string &fileDescriptor, const double TTS, const int numberOfPoints=25, const double epsilon=1.0e-10)
	Constructor. More...
	JRegressor (const JRegressorStorage< JLine3Z, JGandalf > &storage)
	Constructor. More...
template<class JHit_t >
result_type	operator() (const JLine3Z &track, const JHit_t &hit) const
	Fit function. More...
result_type	operator() (const JLine3Z &track, const JPMTW0 &pmt) const
	Fit function. More...
JPDF_t::result_type	getH0 (const double R_Hz, const double t1) const
	Get background hypothesis value for time differentiated PDF. More...
JPDF_t::result_type	getH1 (const double E, const double R, const double theta, const double phi, const double t1) const
	Get signal hypothesis value for time differentiated PDF. More...
JNPE_t::result_type	getH0 (const double R_Hz) const
	Get background hypothesis value for time integrated PDF. More...
JNPE_t::result_type	getH1 (const double E, const double R, const double theta, const double phi) const
	Get signal hypothesis value for time integrated PDF. More...
double	getRmax () const
	Get maximal road width of PDF. More...
result_type	operator() (const JLine3Z &value, T __begin, T __end)
	Global fit. More...
result_type	operator() (const JFunction_t &fit, T __begin, T __end, Args...args)
	Multi-dimensional fit of multiple data sets. More...
const JPDFs_t &	getPDF () const
	Get PDFs. More...
const JNPEs_t &	getNPE () const
	Get NPEs. More...
void	transform (const transformer_type &transformer)
	Transform PDFs and NPEs. More...
void	setRmax (const double Rmax)
	Set maximal road width of PDF. More...

Public Attributes
const JPDFs_t &	pdf
	PDF. More...
const JNPEs_t &	npe
	PDF. More...
double	E_GeV = 0.0
	Energy of muon at vertex [GeV]. More...
JLANG::JSharedPointer < JMEstimator >	estimator = new JMEstimatorNormal()
	M-Estimator function. More...
std::vector< parameter_type >	parameters
	fit parameters More...
int	numberOfIterations
	number of iterations More...
double	lambda
	control parameter More...
JLine3Z	value
	value More...
JLine3Z	error
	error More...
JMATH::JMatrixNS	V
	Hesse matrix. More...
result_type	result

Static Public Attributes
static JTimeRange	T_ns
	Time window with respect to Cherenkov hypothesis [ns]. More...
static double	Vmax_npe = std::numeric_limits<double>::max()
	Maximal integral of PDF [npe]. More...
static double	Rmin_m = 0.1
	Minimal distance of [m]. More...
static int	MAXIMUM_ITERATIONS
	maximal number of iterations More...
static double	EPSILON
	maximal distance to minimum More...
static double	LAMBDA_MIN
	minimal value control parameter More...
static double	LAMBDA_MAX
	maximal value control parameter More...
static double	LAMBDA_UP
	multiplication factor control parameter More...
static double	LAMBDA_DOWN
	multiplication factor control parameter More...
static double	PIVOT
	minimal value diagonal element of Hesse matrix More...
static int	debug = 0
	debug level (default is off). More...
static const int	NUMBER_OF_PDFS = 6
	Number of PDFs. More...
static const JPDFType_t	pdf_t [NUMBER_OF_PDFS]
	PDF types. More...

Detailed Description

template<>
struct JFIT::JRegressor< JLine3Z, JGandalf >

Regressor function object for JLine3Z fit using JGandalf minimiser.

Definition at line 103 of file JLine3ZRegressor.hh.

Member Typedef Documentation

typedef JRegressorStorage<JLine3Z, JGandalf> JFIT::JRegressor< JLine3Z, JGandalf >::JRegressorStorage_t

Definition at line 109 of file JLine3ZRegressor.hh.

typedef JGandalf <JLine3Z > JFIT::JAbstractRegressor< JLine3Z , JGandalf >::minimiser_type

inherited

Definition at line 80 of file JRegressor.hh.

typedef JRegressor<JLine3Z , JGandalf > JFIT::JAbstractRegressor< JLine3Z , JGandalf >::regressor_type

inherited

Definition at line 81 of file JRegressor.hh.

typedef minimiser_type::result_type JFIT::JAbstractRegressor< JLine3Z , JGandalf >::result_type

inherited

Definition at line 82 of file JRegressor.hh.

typedef JLine3Z ::parameter_type JFIT::JGandalf< JLine3Z >::parameter_type

inherited

Data type of fit parameter.

Definition at line 64 of file JGandalf.hh.

typedef JTOOLS::JSplineFunction1S_t JFIT::JRegressorHelper< JLine3Z, JGandalf >::JFunction1D_t

inherited

Definition at line 57 of file JRegressorHelper.hh.

typedef JTOOLS::JMAPLIST<JTOOLS::JPolint1FunctionalMap, JTOOLS::JPolint0FunctionalGridMap, JTOOLS::JPolint0FunctionalGridMap>::maplist JFIT::JRegressorHelper< JLine3Z, JGandalf >::JPDFMaplist_t

inherited

Definition at line 60 of file JRegressorHelper.hh.

typedef JPHYSICS::JPDFTable<JFunction1D_t, JPDFMaplist_t> JFIT::JRegressorHelper< JLine3Z, JGandalf >::JPDF_t

inherited

time dependent PDF

Definition at line 61 of file JRegressorHelper.hh.

typedef JTOOLS::JMAPLIST<JTOOLS::JPolint1FunctionalMapH, JTOOLS::JPolint1FunctionalGridMap, JTOOLS::JPolint1FunctionalGridMap>::maplist JFIT::JRegressorHelper< JLine3Z, JGandalf >::JNPEMaplist_t

inherited

Definition at line 65 of file JRegressorHelper.hh.

typedef JPHYSICS::JNPETable<double, double, JNPEMaplist_t> JFIT::JRegressorHelper< JLine3Z, JGandalf >::JNPE_t

inherited

time integrated PDF

Definition at line 66 of file JRegressorHelper.hh.

typedef JPDF_t::transformer_type JFIT::JRegressorHelper< JLine3Z, JGandalf >::transformer_type

inherited

Definition at line 68 of file JRegressorHelper.hh.

typedef std::array<JPDF_t, NUMBER_OF_PDFS> JFIT::JRegressorHelper< JLine3Z, JGandalf >::JPDFs_t

inherited

PDFs.

Definition at line 72 of file JRegressorHelper.hh.

typedef std::array<JNPE_t, NUMBER_OF_PDFS> JFIT::JRegressorHelper< JLine3Z, JGandalf >::JNPEs_t

inherited

NPEs.

Definition at line 73 of file JRegressorHelper.hh.

Constructor & Destructor Documentation

JFIT::JRegressor< JLine3Z, JGandalf >::JRegressor ( )

inline

Default constructor.

Definition at line 114 of file JLine3ZRegressor.hh.

                 :
      JRegressorStorage_t(),
      pdf(getPDF()),
      npe(getNPE())
    {}

JFIT::JRegressor< JLine3Z, JGandalf >::JRegressor ( const std::string &  fileDescriptor, const double  TTS, const int  numberOfPoints = 25, const double  epsilon = 1.0e-10  )

inline

Constructor.

The PDF file descriptor should contain the wild card character JPHYSICS::WILDCARD which will be replaced by the corresponding PDF types listed in JRegressor<JLine3Z, JGandalf>::pdf_t.

The TTS corresponds to the additional time smearing applied to the PDFs.

Parameters

fileDescriptor	PDF file descriptor
TTS	TTS [ns]
numberOfPoints	number of points for Gauss-Hermite integration of TTS
epsilon	precision for Gauss-Hermite integration of TTS

Definition at line 134 of file JLine3ZRegressor.hh.

                                                            :
      JRegressorStorage_t(fileDescriptor, TTS, numberOfPoints, epsilon),
      pdf(getPDF()),
      npe(getNPE())
    {}

JFIT::JRegressor< JLine3Z, JGandalf >::JRegressor ( const JRegressorStorage< JLine3Z, JGandalf > &  storage )

inline

Constructor.

Parameters

storage

PDF storage

Definition at line 149 of file JLine3ZRegressor.hh.

                                                                    :
      pdf(storage.getPDF()),
      npe(storage.getNPE())
    {}

Member Function Documentation

template<class JHit_t >

result_type JFIT::JRegressor< JLine3Z, JGandalf >::operator() ( const JLine3Z &  track, const JHit_t &  hit  ) const

inline

Fit function.

This method is used to determine the chi2 and gradient of given hit with respect to trajectory of muon.

The template argument JHit_t refers to a data structure which should have the following member methods:

• double getX(); // [m]
• double getY(); // [m]
• double getZ(); // [m]
• double getDX(); // [u]
• double getDY(); // [u]
• double getDZ(); // [u]
• double getT(); // [ns]

Parameters

track	track
hit	hit

Returns

chi2 and gradient

Definition at line 173 of file JLine3ZRegressor.hh.

    {
      using namespace JPP;
      
      JPosition3D  D(hit.getX(),  hit.getY(),  hit.getZ());
      JDirection3D U(hit.getDX(), hit.getDY(), hit.getDZ());

      D.sub(track.getPosition());

      const double z  = D.getDot(track.getDirection());
      const double x  = D.getX()  -  z * track.getDX();
      const double y  = D.getY()  -  z * track.getDY();
      const double R2 = D.getLengthSquared() - z*z;
      const double R  = (R2 > Rmin_m*Rmin_m ? sqrt(R2) : Rmin_m);

      const double t1 = track.getT() + (z + R * getTanThetaC()) * getInverseSpeedOfLight();

      U.rotate(JRotation3Z(-atan2(y,x)));                  // rotate PMT axis to x-z plane

      const double theta = U.getTheta();
      const double phi   = fabs(U.getPhi());

      const double E  = gWater.getE(E_GeV, z);
      const double dt = T_ns.constrain(hit.getT()  -  t1);

      JPDF_t::result_type H0 = getH0(hit.getR(), dt);
      JPDF_t::result_type H1 = getH1(E, R, theta, phi, dt);

      if (H1.V >= Vmax_npe) {
        H1 *= Vmax_npe / H1.V;
      }

      H1 += H0;                                                                                      // signal + background

      result_type result;

      result.chi2     = H1.getChi2() - H0.getChi2();                                                 // Likelihood ratio

      const double wc = 1.0  -  getTanThetaC() * z / R;                                              // d(ct1)/d(z)

      result.gradient = JLine3Z(JLine1Z(JPosition3D(-getTanThetaC() * D.getX() / R,                  // d(ct1)/d(x)
                                                    -getTanThetaC() * D.getY() / R,                  // d(ct1)/d(y)
                                                    0.0),
                                        getSpeedOfLight()),                                          // d(ct1)/d(t)
                                JVersor3Z(wc * (D.getX() - D.getZ()*track.getDX()/track.getDZ()),    // d(ct1)/d(dx)
                                          wc * (D.getY() - D.getZ()*track.getDY()/track.getDZ())));  // d(ct1)/d(dy)
      
      result.gradient.mul(getInverseSpeedOfLight() * (H1.getDerivativeOfChi2() -
                                                      H0.getDerivativeOfChi2()));                    // x d(chi2)/d(ct1)

      return result;
    }

result_type JFIT::JRegressor< JLine3Z, JGandalf >::operator() ( const JLine3Z &  track, const JPMTW0 &  pmt  ) const

inline

Fit function.

This method is used to determine the chi2 and gradient of given PMT with respect to trajectory of muon.

Parameters

track	track
pmt	pmt

Returns

chi2 and gradient

Definition at line 235 of file JLine3ZRegressor.hh.

    {
      using namespace JGEOMETRY3D;
      using namespace JPHYSICS;
      
      JPosition3D  D(pmt.getPosition());
      JDirection3D U(pmt.getDirection());

      D.sub(track.getPosition());

      const double z  = D.getDot(track.getDirection());
      const double x  = D.getX()  -  z * track.getDX();
      const double y  = D.getY()  -  z * track.getDY();
      const double R2 = D.getLengthSquared() - z*z;
      const double R  = (R2 > Rmin_m*Rmin_m ? sqrt(R2) : Rmin_m);

      U.rotate(JRotation3Z(-atan2(y,x)));                  // rotate PMT axis to x-z plane

      const double theta = U.getTheta();
      const double phi   = fabs(U.getPhi());

      const double E  = gWater.getE(E_GeV, z);

      JNPE_t::result_type H0 = getH0(pmt.getR());
      JNPE_t::result_type H1 = getH1(E, R, theta, phi);

      if (H1.f >= Vmax_npe) {
        H1 *= Vmax_npe / H1.f;
      }

      H1 += H0;

      const bool   hit = pmt.getN() != 0;
      const double u   = H1.getChi2(hit);

      result_type result;

      result.chi2     = estimator->getRho(u);

      result.gradient = JLine3Z(JLine1Z(JPosition3D(-D.getX() / R,   // d(R)/d(x)
                                                    -D.getY() / R,   // d(R)/d(y)
                                                    0.0),
                                        0.0),
                                JVersor3Z(-z * D.getX() / R,         // d(R)/d(dx)
                                          -z * D.getY() / R));       // d(R)/d(dy)

      result.gradient.mul(estimator->getPsi(u));
      result.gradient.mul(H1.getDerivativeOfChi2(hit));              // x d(chi2)/d(R)

      return result;
    }

JPDF_t::result_type JFIT::JRegressor< JLine3Z, JGandalf >::getH0 ( const double  R_Hz, const double  t1  ) const

inline

Get background hypothesis value for time differentiated PDF.

Parameters

R_Hz	rate [Hz]
t1	time [ns]

Returns

hypothesis value

Definition at line 295 of file JLine3ZRegressor.hh.

    {
      return JPDF_t::result_type(R_Hz * 1e-9, t1, T_ns);
    }

JPDF_t::result_type JFIT::JRegressor< JLine3Z, JGandalf >::getH1 ( const double  E, const double  R, const double  theta, const double  phi, const double  t1  ) const

inline

Get signal hypothesis value for time differentiated PDF.

Parameters

E	muon energy at minimum distance of approach [GeV]
R	minimum distance of approach [m]
theta	PMT zenith angle [rad]
phi	PMT azimuth angle [rad]
t1	arrival time relative to Cherenkov hypothesis [ns]

Returns

hypothesis value

Definition at line 312 of file JLine3ZRegressor.hh.

    {
      using namespace std;
      using namespace JPP;

      JPDF_t::result_type h1 = zero;

      for (int i = 0; i != NUMBER_OF_PDFS; ++i) {

        if (!pdf[i].empty() && R <= pdf[i].getXmax()) {

          JPDF_t::result_type y1 = pdf[i](max(R, pdf[i].getXmin()), theta, phi, t1);
          
          // safety measures
          
          if (y1.f <= 0.0) {
            y1.f  = 0.0;
            y1.fp = 0.0;
          }
          
          if (y1.v <= 0.0) {
            y1.v  = 0.0;
          }
          
          // energy dependence
          
          if        (is_deltarays(pdf_t[i])) {
            y1 *= getDeltaRaysFromMuon(E);
          } else if (is_bremsstrahlung(pdf_t[i])) {
            y1 *= E;
          }
          
          h1 += y1;
        }
      }

      return h1;
    }

JNPE_t::result_type JFIT::JRegressor< JLine3Z, JGandalf >::getH0 ( const double  R_Hz ) const

inline

Get background hypothesis value for time integrated PDF.

Parameters

R_Hz

rate [Hz]

Returns

hypothesis value

Definition at line 362 of file JLine3ZRegressor.hh.

    {
      return JNPE_t::result_type(R_Hz * 1e-9 * T_ns.getLength(), 0.0);
    }

JNPE_t::result_type JFIT::JRegressor< JLine3Z, JGandalf >::getH1 ( const double  E, const double  R, const double  theta, const double  phi  ) const

inline

Get signal hypothesis value for time integrated PDF.

Parameters

E	muon energy at minimum distance of approach [GeV]
R	minimum distance of approach [m]
theta	PMT zenith angle [rad]
phi	PMT azimuth angle [rad]

Returns

hypothesis value

Definition at line 377 of file JLine3ZRegressor.hh.

    {
      using namespace std;
      using namespace JPP;

      JNPE_t::result_type h1 = JMATH::zero;
        
      for (int i = 0; i != NUMBER_OF_PDFS; ++i) {

        if (!npe[i].empty() && R <= npe[i].getXmax()) {

          try {

            JNPE_t::result_type y1 = npe[i](max(R, npe[i].getXmin()), theta, phi);
          
            // safety measures
            
            if (y1.f > 0.0) {
            
              // energy dependence
            
              if        (is_deltarays(pdf_t[i])) {
                y1 *= getDeltaRaysFromMuon(E);
              } else if (is_bremsstrahlung(pdf_t[i])) {
                y1 *= E;
              }
          
              h1 += y1;
            }
          }
          catch(JException& error) {
            ERROR(error << endl);
          }
        }
      }

      return h1;
    }

double JFIT::JRegressor< JLine3Z, JGandalf >::getRmax ( ) const

inline

Get maximal road width of PDF.

Returns

road width [m]

Definition at line 425 of file JLine3ZRegressor.hh.

    {
      double xmax = 0.0;

      for (int i = 0; i != NUMBER_OF_PDFS; ++i) {
        if (!pdf[i].empty() && pdf[i].getXmax() > xmax) {
          xmax = pdf[i].getXmax();
        }
      }

      return xmax;
    }

result_type JFIT::JAbstractRegressor< JLine3Z , JGandalf >::operator() ( const JLine3Z &  value, T  __begin, T  __end  )

inlineinherited

Global fit.

Parameters

value	start value
__begin	begin of data set
__end	end of data set

Returns

chi2

Definition at line 94 of file JRegressor.hh.

    {
      static_cast<minimiser_type&>(*this).value = value;

      return static_cast<minimiser_type&>(*this)(static_cast<regressor_type&>(*this), __begin, __end);
    }

result_type JFIT::JGandalf< JLine3Z >::operator() ( const JFunction_t &  fit, T  __begin, T  __end, Args...  args  )

inlineinherited

Multi-dimensional fit of multiple data sets.

The fit function should return the chi2 as well as the partial derivatives for the current value of the model and a given data point.

Parameters

fit	fit function
__begin	begin of data
__end	end of data
args	optional data

Returns

chi2 and gradient

Definition at line 129 of file JGandalf.hh.

    {
      using namespace std;
      using namespace JPP;

      // note that all model values should be assigned to the start value of the model before use
      // because the actual list of model parameters can vary from fit to fit
      // (e.g. if model consists of a container).

      const size_t N = parameters.size();

      V.resize(N);
      h.resize(N);
      x.resize(N);

      previous.result.chi2 = numeric_limits<double>::max();

      current.result.chi2     = numeric_limits<double>::max();
      current.result.gradient = value;
      current.result.gradient = zero;

      error     = value;
      error     = zero;

      lambda    = LAMBDA_MIN;


      for (numberOfIterations = 0; numberOfIterations != MAXIMUM_ITERATIONS; ++numberOfIterations) {

        DEBUG("step:     " << numberOfIterations << endl);

        reset();

        update(fit, __begin, __end, args...);

        DEBUG("lambda:   " << FIXED(12,5) << lambda              << endl);
        DEBUG("chi2:     " << FIXED(12,5) << current.result.chi2 << endl);

        if (current.result.chi2 < previous.result.chi2) {

          if (numberOfIterations != 0) {

            if (fabs(previous.result.chi2 - current.result.chi2) < EPSILON*fabs(previous.result.chi2)) {

              const result_type result = current.result;

              reset();

              update(fit, __begin, __end, args...);

              try {
                V.invert();
              }
              catch (const exception& error) {
                V.reset();
              }

              return result;                                        // normal end
            }

            if (lambda > LAMBDA_MIN) {
              lambda /= LAMBDA_DOWN;
            }

            // store current values

            previous.value  = value;
            previous.error  = error;
            previous.result = current.result;
          }

        } else {

          value   = previous.value;                                 // restore value

          lambda *= LAMBDA_UP;
          
          if (lambda > LAMBDA_MAX) {
            break;
          }

          reset();

          update(fit, __begin, __end, args...);
        }

        DEBUG("Hesse matrix:" << endl << V << endl);

        // force definite positiveness

        for (size_t i = 0; i != N; ++i) {

          if (V(i,i) < PIVOT) {
            V(i,i) = PIVOT;
          }

          h[i] = 1.0 / sqrt(V(i,i));
        }

        // normalisation
        
        for (size_t row = 0; row != N; ++row) {
          for (size_t col = 0; col != row; ++col) {
            V(row,col) *= h[row] * h[col];
            V(col,row)  = V(row,col);
          }
        }
        
        for (size_t i = 0; i != N; ++i) {
          V(i,i) = 1.0 + lambda;
        }

        // solve A x = b

        for (size_t col = 0; col != N; ++col) {
          x[col] = h[col] * get(current.result.gradient, parameters[col]);
        }

        try {
          V.solve(x);
        }
        catch (const exception& error) {

          ERROR("JGandalf: " << error.what() << endl << V << endl);

          break;
        }

        // update value and error

        for (size_t row = 0; row != N; ++row) {

          DEBUG("u[" << noshowpos << setw(3) << row << "] = " << showpos << FIXED(15,5) << get(value, parameters[row]));

          get(value, parameters[row]) -= h[row] * x[row];
          get(error, parameters[row])  = h[row];

          DEBUG(" -> " << FIXED(15,5) << get(value, parameters[row]) << noshowpos << endl);
        }
      }

      // abnormal end

      const result_type result = previous.result;

      value   = previous.value;                                     // restore value
      error   = previous.error;                                     // restore error

      reset();

      update(fit, __begin, __end, args...);

      try {
        V.invert();
      }
      catch (const exception& error) {
        V.reset();
      }

      return result;
    }

const JPDFs_t& JFIT::JRegressorStorage< JLine3Z, JGandalf >::getPDF ( ) const

inlineinherited

Get PDFs.

Returns

PDFs

Definition at line 172 of file JRegressorHelper.hh.

    {
      return _pdf;
    }

const JNPEs_t& JFIT::JRegressorStorage< JLine3Z, JGandalf >::getNPE ( ) const

inlineinherited

Get NPEs.

Returns

NPEs

Definition at line 183 of file JRegressorHelper.hh.

    {
      return _npe;
    }

void JFIT::JRegressorStorage< JLine3Z, JGandalf >::transform ( const transformer_type &  transformer )

inlineinherited

Transform PDFs and NPEs.

Parameters

transformer

transformer

Definition at line 194 of file JRegressorHelper.hh.

    {
      for (int i = 0; i != NUMBER_OF_PDFS; ++i) {
        _pdf[i].transform(transformer);
        _npe[i].transform(transformer);
      }
    }

void JFIT::JRegressorStorage< JLine3Z, JGandalf >::setRmax ( const double  Rmax )

inlineinherited

Set maximal road width of PDF.

Parameters

Rmax	road width [m]

Definition at line 208 of file JRegressorHelper.hh.

    {
      const JTOOLS::JRange<typename JFunction1D_t::abscissa_type> range(0.0, Rmax);
      
      for (int i = 0; i != NUMBER_OF_PDFS; ++i) {
        if (!_pdf[i].empty()) {
          _pdf[i].compress(range);
        }
      }
    }

Member Data Documentation

JTimeRange JFIT::JRegressor< JLine3Z, JGandalf >::T_ns

static

Time window with respect to Cherenkov hypothesis [ns].

Default values.

Definition at line 439 of file JLine3ZRegressor.hh.

double JFIT::JRegressor< JLine3Z, JGandalf >::Vmax_npe = std::numeric_limits<double>::max()

static

Maximal integral of PDF [npe].

Definition at line 440 of file JLine3ZRegressor.hh.

double JFIT::JRegressor< JLine3Z, JGandalf >::Rmin_m = 0.1

static

Minimal distance of [m].

Definition at line 441 of file JLine3ZRegressor.hh.

const JPDFs_t& JFIT::JRegressor< JLine3Z, JGandalf >::pdf

PDF.

Definition at line 443 of file JLine3ZRegressor.hh.

const JNPEs_t& JFIT::JRegressor< JLine3Z, JGandalf >::npe

PDF.

Definition at line 444 of file JLine3ZRegressor.hh.

double JFIT::JRegressor< JLine3Z, JGandalf >::E_GeV = 0.0

Energy of muon at vertex [GeV].

Definition at line 446 of file JLine3ZRegressor.hh.

JLANG::JSharedPointer<JMEstimator> JFIT::JRegressor< JLine3Z, JGandalf >::estimator = new JMEstimatorNormal()

M-Estimator function.

Definition at line 448 of file JLine3ZRegressor.hh.

int JFIT::JGandalf< JLine3Z >::MAXIMUM_ITERATIONS

staticinherited

maximal number of iterations

maximal number of iterations.

Definition at line 292 of file JGandalf.hh.

double JFIT::JGandalf< JLine3Z >::EPSILON

staticinherited

maximal distance to minimum

maximal distance to minimum.

Definition at line 293 of file JGandalf.hh.

double JFIT::JGandalf< JLine3Z >::LAMBDA_MIN

staticinherited

minimal value control parameter

Definition at line 294 of file JGandalf.hh.

double JFIT::JGandalf< JLine3Z >::LAMBDA_MAX

staticinherited

maximal value control parameter

Definition at line 295 of file JGandalf.hh.

double JFIT::JGandalf< JLine3Z >::LAMBDA_UP

staticinherited

multiplication factor control parameter

Definition at line 296 of file JGandalf.hh.

double JFIT::JGandalf< JLine3Z >::LAMBDA_DOWN

staticinherited

multiplication factor control parameter

Definition at line 297 of file JGandalf.hh.

double JFIT::JGandalf< JLine3Z >::PIVOT

staticinherited

minimal value diagonal element of Hesse matrix

minimal value diagonal element of matrix

Definition at line 298 of file JGandalf.hh.

std::vector<parameter_type> JFIT::JGandalf< JLine3Z >::parameters

inherited

fit parameters

Definition at line 300 of file JGandalf.hh.

int JFIT::JGandalf< JLine3Z >::numberOfIterations

inherited

number of iterations

Definition at line 301 of file JGandalf.hh.

double JFIT::JGandalf< JLine3Z >::lambda

inherited

control parameter

Definition at line 302 of file JGandalf.hh.

JLine3Z JFIT::JGandalf< JLine3Z >::value

inherited

value

Definition at line 303 of file JGandalf.hh.

JLine3Z JFIT::JGandalf< JLine3Z >::error

inherited

error

Definition at line 304 of file JGandalf.hh.

JMATH::JMatrixNS JFIT::JGandalf< JLine3Z >::V

inherited

Hesse matrix.

Definition at line 305 of file JGandalf.hh.

result_type JFIT::JGandalf< JLine3Z >::result

inherited

Definition at line 448 of file JGandalf.hh.

template<class T>

int JEEP::JMessage< T >::debug = 0

staticinherited

debug level (default is off).

Definition at line 45 of file JMessage.hh.

const int JFIT::JRegressorHelper< JLine3Z, JGandalf >::NUMBER_OF_PDFS = 6

staticinherited

Number of PDFs.

Definition at line 70 of file JRegressorHelper.hh.

const JPDFType_t JFIT::JRegressorHelper< JLine3Z, JGandalf >::pdf_t

staticinherited

Initial value:

= { DIRECT_LIGHT_FROM_MUON,
                                                                    SCATTERED_LIGHT_FROM_MUON,
                                                                    DIRECT_LIGHT_FROM_DELTARAYS,
                                                                    SCATTERED_LIGHT_FROM_DELTARAYS,
                                                                    DIRECT_LIGHT_FROM_EMSHOWERS,
                                                                    SCATTERED_LIGHT_FROM_EMSHOWERS }

PDF types.

Definition at line 79 of file JRegressorHelper.hh.

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The documentation for this struct was generated from the following file:

• JLine3ZRegressor.hh