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gbl::GblData Class Reference

Data (block) for independent scalar measurement. More...

#include <GblData.h>

Public Member Functions

void addDerivatives (unsigned int iRow, const std::vector< unsigned int > &labDer, const SMatrix55 &matDer, unsigned int iOff, const TMatrixD &derLocal, const std::vector< int > &labGlobal, const TMatrixD &derGlobal, unsigned int nLocal, const TMatrixD &derTrans)
 Add derivatives from measurement. More...
 
void addDerivatives (unsigned int iRow, const std::vector< unsigned int > &labDer, const SMatrix27 &matDer, unsigned int nLocal, const TMatrixD &derTrans)
 Add derivatives from kink. More...
 
void addDerivatives (const std::vector< unsigned int > &index, const std::vector< double > &derivatives)
 Add derivatives from external seed. More...
 
 GblData (unsigned int aLabel, double aMeas, double aPrec)
 Create data block. More...
 
void getAllData (double &aValue, double &aErr, std::vector< unsigned int > *&indLocal, std::vector< double > *&derLocal, std::vector< int > *&labGlobal, std::vector< double > *&derGlobal)
 Get all Data for MP-II binary record. More...
 
double getChi2 () const
 Calculate Chi2 contribution. More...
 
void getLocalData (double &aValue, double &aWeight, std::vector< unsigned int > *&indLocal, std::vector< double > *&derLocal)
 Get Data for local fit. More...
 
void getResidual (double &aResidual, double &aVariance, double &aDownWeight, std::vector< unsigned int > *&indLocal, std::vector< double > *&derLocal)
 Get data for residual (and errors). More...
 
void printData () const
 Print data block. More...
 
double setDownWeighting (unsigned int aMethod)
 Outlier down weighting with M-estimators (by GblTrajectory::fit). More...
 
void setPrediction (const VVector &aVector)
 Calculate prediction for data from fit (by GblTrajectory::fit). More...
 
virtual ~GblData ()
 

Private Attributes

std::vector< double > globalDerivatives
 Global derivatives. More...
 
std::vector< int > globalLabels
 Labels for global derivatives. More...
 
std::vector< double > theDerivatives
 List of derivatives for fit. More...
 
double theDownWeight
 Down-weighting factor (0-1) More...
 
unsigned int theLabel
 Label (of measurements point) More...
 
std::vector< unsigned int > theParameters
 List of fit parameters (with non zero derivatives) More...
 
double thePrecision
 Precision (1/sigma**2) More...
 
double thePrediction
 Prediction from fit. More...
 
double theValue
 Value (residual) More...
 

Detailed Description

Data (block) for independent scalar measurement.

Data (block) containing value, precision and derivatives for measurements and kinks. Created from attributes of GblPoints, used to construct linear equation system for track fit.

Definition at line 33 of file GblData.h.

Constructor & Destructor Documentation

gbl::GblData::GblData ( unsigned int  aLabel,
double  aValue,
double  aPrec 
)

Create data block.

Parameters
[in]aLabelLabel of corresponding point
[in]aValueValue of (scalar) measurement
[in]aPrecPrecision of (scalar) measurement

Definition at line 19 of file GblData.cc.

19  :
20  theLabel(aLabel), theValue(aValue), thePrecision(aPrec), theDownWeight(
22 
23 }
std::vector< unsigned int > theParameters
List of fit parameters (with non zero derivatives)
Definition: GblData.h:69
std::vector< double > theDerivatives
List of derivatives for fit.
Definition: GblData.h:70
unsigned int theLabel
Label (of measurements point)
Definition: GblData.h:64
double theDownWeight
Down-weighting factor (0-1)
Definition: GblData.h:67
double thePrediction
Prediction from fit.
Definition: GblData.h:68
std::vector< int > globalLabels
Labels for global derivatives.
Definition: GblData.h:71
std::vector< double > globalDerivatives
Global derivatives.
Definition: GblData.h:72
double thePrecision
Precision (1/sigma**2)
Definition: GblData.h:66
double theValue
Value (residual)
Definition: GblData.h:65
gbl::GblData::~GblData ( )
virtual

Definition at line 25 of file GblData.cc.

25  {
26 }

Member Function Documentation

void gbl::GblData::addDerivatives ( unsigned int  iRow,
const std::vector< unsigned int > &  labDer,
const SMatrix55 matDer,
unsigned int  iOff,
const TMatrixD &  derLocal,
const std::vector< int > &  labGlobal,
const TMatrixD &  derGlobal,
unsigned int  extOff,
const TMatrixD &  extDer 
)

Add derivatives from measurement.

Add (non-zero) derivatives to data block. Fill list of labels of used fit parameters.

Parameters
[in]iRowRow index (0-4) in up to 5D measurement
[in]labDerLabels for derivatives
[in]matDerDerivatives (matrix) 'measurement vs track fit parameters'
[in]iOffOffset for row index for additional parameters
[in]derLocalDerivatives (matrix) for additional local parameters
[in]labGlobalLabels for additional global (MP-II) parameters
[in]derGlobalDerivatives (matrix) for additional global (MP-II) parameters
[in]extOffOffset for external parameters
[in]extDerDerivatives for external Parameters

Definition at line 41 of file GblData.cc.

References globalDerivatives, globalLabels, i, theDerivatives, and theParameters.

Referenced by gbl::GblTrajectory::prepare().

45  {
46 
47  unsigned int nParMax = 5 + derLocal.GetNcols() + extDer.GetNcols();
48  theParameters.reserve(nParMax); // have to be sorted
49  theDerivatives.reserve(nParMax);
50 
51  for (int i = 0; i < derLocal.GetNcols(); ++i) // local derivatives
52  {
53  if (derLocal(iRow - iOff, i)) {
54  theParameters.push_back(i + 1);
55  theDerivatives.push_back(derLocal(iRow - iOff, i));
56  }
57  }
58 
59  for (int i = 0; i < extDer.GetNcols(); ++i) // external derivatives
60  {
61  if (extDer(iRow - iOff, i)) {
62  theParameters.push_back(extOff + i + 1);
63  theDerivatives.push_back(extDer(iRow - iOff, i));
64  }
65  }
66 
67  for (unsigned int i = 0; i < 5; ++i) // curvature, offset derivatives
68  {
69  if (labDer[i] and matDer(iRow, i)) {
70  theParameters.push_back(labDer[i]);
71  theDerivatives.push_back(matDer(iRow, i));
72  }
73  }
74 
75  globalLabels = labGlobal;
76  for (int i = 0; i < derGlobal.GetNcols(); ++i) // global derivatives
77  globalDerivatives.push_back(derGlobal(iRow - iOff, i));
78 }
std::vector< unsigned int > theParameters
List of fit parameters (with non zero derivatives)
Definition: GblData.h:69
int i
Definition: DBlmapReader.cc:9
std::vector< double > theDerivatives
List of derivatives for fit.
Definition: GblData.h:70
std::vector< int > globalLabels
Labels for global derivatives.
Definition: GblData.h:71
std::vector< double > globalDerivatives
Global derivatives.
Definition: GblData.h:72
void gbl::GblData::addDerivatives ( unsigned int  iRow,
const std::vector< unsigned int > &  labDer,
const SMatrix27 matDer,
unsigned int  extOff,
const TMatrixD &  extDer 
)

Add derivatives from kink.

Add (non-zero) derivatives to data block. Fill list of labels of used fit parameters.

Parameters
[in]iRowRow index (0-1) in 2D kink
[in]labDerLabels for derivatives
[in]matDerDerivatives (matrix) 'kink vs track fit parameters'
[in]extOffOffset for external parameters
[in]extDerDerivatives for external Parameters

Definition at line 89 of file GblData.cc.

References i, theDerivatives, and theParameters.

91  {
92 
93  unsigned int nParMax = 7 + extDer.GetNcols();
94  theParameters.reserve(nParMax); // have to be sorted
95  theDerivatives.reserve(nParMax);
96 
97  for (int i = 0; i < extDer.GetNcols(); ++i) // external derivatives
98  {
99  if (extDer(iRow, i)) {
100  theParameters.push_back(extOff + i + 1);
101  theDerivatives.push_back(extDer(iRow, i));
102  }
103  }
104 
105  for (unsigned int i = 0; i < 7; ++i) // curvature, offset derivatives
106  {
107  if (labDer[i] and matDer(iRow, i)) {
108  theParameters.push_back(labDer[i]);
109  theDerivatives.push_back(matDer(iRow, i));
110  }
111  }
112 }
std::vector< unsigned int > theParameters
List of fit parameters (with non zero derivatives)
Definition: GblData.h:69
int i
Definition: DBlmapReader.cc:9
std::vector< double > theDerivatives
List of derivatives for fit.
Definition: GblData.h:70
void gbl::GblData::addDerivatives ( const std::vector< unsigned int > &  index,
const std::vector< double > &  derivatives 
)

Add derivatives from external seed.

Add (non-zero) derivatives to data block. Fill list of labels of used fit parameters.

Parameters
[in]indexLabels for derivatives
[in]derivativesDerivatives (vector)

Definition at line 120 of file GblData.cc.

References i, theDerivatives, and theParameters.

121  {
122  for (unsigned int i = 0; i < derivatives.size(); ++i) // any derivatives
123  {
124  if (derivatives[i]) {
125  theParameters.push_back(index[i]);
126  theDerivatives.push_back(derivatives[i]);
127  }
128  }
129 }
std::vector< unsigned int > theParameters
List of fit parameters (with non zero derivatives)
Definition: GblData.h:69
int i
Definition: DBlmapReader.cc:9
std::vector< double > theDerivatives
List of derivatives for fit.
Definition: GblData.h:70
void gbl::GblData::getAllData ( double &  aValue,
double &  aErr,
std::vector< unsigned int > *&  indLocal,
std::vector< double > *&  derLocal,
std::vector< int > *&  labGlobal,
std::vector< double > *&  derGlobal 
)

Get all Data for MP-II binary record.

Parameters
[out]aValueValue
[out]aErrError
[out]indLocalList of labels of local parameters
[out]derLocalList of derivatives for local parameters
[out]labGlobalList of labels of global parameters
[out]derGlobalList of derivatives for global parameters

Definition at line 220 of file GblData.cc.

References globalDerivatives, globalLabels, mathSSE::sqrt(), theDerivatives, theParameters, thePrecision, and theValue.

222  {
223  aValue = theValue;
224  aErr = 1.0 / sqrt(thePrecision);
225  indLocal = &theParameters;
226  derLocal = &theDerivatives;
227  labGlobal = &globalLabels;
228  derGlobal = &globalDerivatives;
229 }
std::vector< unsigned int > theParameters
List of fit parameters (with non zero derivatives)
Definition: GblData.h:69
std::vector< double > theDerivatives
List of derivatives for fit.
Definition: GblData.h:70
T sqrt(T t)
Definition: SSEVec.h:18
std::vector< int > globalLabels
Labels for global derivatives.
Definition: GblData.h:71
std::vector< double > globalDerivatives
Global derivatives.
Definition: GblData.h:72
double thePrecision
Precision (1/sigma**2)
Definition: GblData.h:66
double theValue
Value (residual)
Definition: GblData.h:65
double gbl::GblData::getChi2 ( ) const

Calculate Chi2 contribution.

Returns
(down-weighted) Chi2

Definition at line 173 of file GblData.cc.

References theDownWeight, thePrecision, thePrediction, and theValue.

173  {
174  double aDiff = theValue - thePrediction;
175  return aDiff * aDiff * thePrecision * theDownWeight;
176 }
double theDownWeight
Down-weighting factor (0-1)
Definition: GblData.h:67
double thePrediction
Prediction from fit.
Definition: GblData.h:68
double thePrecision
Precision (1/sigma**2)
Definition: GblData.h:66
double theValue
Value (residual)
Definition: GblData.h:65
void gbl::GblData::getLocalData ( double &  aValue,
double &  aWeight,
std::vector< unsigned int > *&  indLocal,
std::vector< double > *&  derLocal 
)

Get Data for local fit.

Parameters
[out]aValueValue
[out]aWeightWeight
[out]indLocalList of labels of used (local) fit parameters
[out]derLocalList of derivatives for used (local) fit parameters

Definition at line 202 of file GblData.cc.

References theDerivatives, theDownWeight, theParameters, thePrecision, and theValue.

203  {
204 
205  aValue = theValue;
206  aWeight = thePrecision * theDownWeight;
207  indLocal = &theParameters;
208  derLocal = &theDerivatives;
209 }
std::vector< unsigned int > theParameters
List of fit parameters (with non zero derivatives)
Definition: GblData.h:69
std::vector< double > theDerivatives
List of derivatives for fit.
Definition: GblData.h:70
double theDownWeight
Down-weighting factor (0-1)
Definition: GblData.h:67
double thePrecision
Precision (1/sigma**2)
Definition: GblData.h:66
double theValue
Value (residual)
Definition: GblData.h:65
void gbl::GblData::getResidual ( double &  aResidual,
double &  aVariance,
double &  aDownWeight,
std::vector< unsigned int > *&  indLocal,
std::vector< double > *&  derLocal 
)

Get data for residual (and errors).

Parameters
[out]aResidualMeasurement-Prediction
[out]aVarianceVariance (of measurement)
[out]aDownWeightDown-weighting factor
[out]indLocalList of labels of used (local) fit parameters
[out]derLocalList of derivatives for used (local) fit parameters

Definition at line 239 of file GblData.cc.

References theDerivatives, theDownWeight, theParameters, thePrecision, thePrediction, and theValue.

241  {
242  aResidual = theValue - thePrediction;
243  aVariance = 1.0 / thePrecision;
244  aDownWeight = theDownWeight;
245  indLocal = &theParameters;
246  derLocal = &theDerivatives;
247 }
std::vector< unsigned int > theParameters
List of fit parameters (with non zero derivatives)
Definition: GblData.h:69
std::vector< double > theDerivatives
List of derivatives for fit.
Definition: GblData.h:70
double theDownWeight
Down-weighting factor (0-1)
Definition: GblData.h:67
double thePrediction
Prediction from fit.
Definition: GblData.h:68
double thePrecision
Precision (1/sigma**2)
Definition: GblData.h:66
double theValue
Value (residual)
Definition: GblData.h:65
void gbl::GblData::printData ( ) const

Print data block.

Definition at line 179 of file GblData.cc.

References gather_cfg::cout, i, theDerivatives, theLabel, theParameters, thePrecision, and theValue.

179  {
180 
181  std::cout << " measurement at label " << theLabel << ": " << theValue
182  << ", " << thePrecision << std::endl;
183  std::cout << " param " << theParameters.size() << ":";
184  for (unsigned int i = 0; i < theParameters.size(); ++i) {
185  std::cout << " " << theParameters[i];
186  }
187  std::cout << std::endl;
188  std::cout << " deriv " << theDerivatives.size() << ":";
189  for (unsigned int i = 0; i < theDerivatives.size(); ++i) {
190  std::cout << " " << theDerivatives[i];
191  }
192  std::cout << std::endl;
193 }
std::vector< unsigned int > theParameters
List of fit parameters (with non zero derivatives)
Definition: GblData.h:69
int i
Definition: DBlmapReader.cc:9
std::vector< double > theDerivatives
List of derivatives for fit.
Definition: GblData.h:70
unsigned int theLabel
Label (of measurements point)
Definition: GblData.h:64
double thePrecision
Precision (1/sigma**2)
Definition: GblData.h:66
double theValue
Value (residual)
Definition: GblData.h:65
tuple cout
Definition: gather_cfg.py:145
double gbl::GblData::setDownWeighting ( unsigned int  aMethod)

Outlier down weighting with M-estimators (by GblTrajectory::fit).

Parameters
[in]aMethodM-estimator (1: Tukey, 2:Huber, 3:Cauchy)

Definition at line 144 of file GblData.cc.

References mathSSE::sqrt(), theDownWeight, thePrecision, thePrediction, and theValue.

144  {
145 
146  double aWeight = 1.;
147  double scaledResidual = fabs(theValue - thePrediction) * sqrt(thePrecision);
148  if (aMethod == 1) // Tukey
149  {
150  if (scaledResidual < 4.6851) {
151  aWeight = (1.0 - 0.045558 * scaledResidual * scaledResidual);
152  aWeight *= aWeight;
153  } else {
154  aWeight = 0.;
155  }
156  } else if (aMethod == 2) //Huber
157  {
158  if (scaledResidual >= 1.345) {
159  aWeight = 1.345 / scaledResidual;
160  }
161  } else if (aMethod == 3) //Cauchy
162  {
163  aWeight = 1.0 / (1.0 + (scaledResidual * scaledResidual / 5.6877));
164  }
165  theDownWeight = aWeight;
166  return aWeight;
167 }
T sqrt(T t)
Definition: SSEVec.h:18
double theDownWeight
Down-weighting factor (0-1)
Definition: GblData.h:67
double thePrediction
Prediction from fit.
Definition: GblData.h:68
double thePrecision
Precision (1/sigma**2)
Definition: GblData.h:66
double theValue
Value (residual)
Definition: GblData.h:65
void gbl::GblData::setPrediction ( const VVector aVector)

Calculate prediction for data from fit (by GblTrajectory::fit).

Definition at line 132 of file GblData.cc.

References i, theDerivatives, theParameters, and thePrediction.

132  {
133 
134  thePrediction = 0.;
135  for (unsigned int i = 0; i < theDerivatives.size(); ++i) {
136  thePrediction += theDerivatives[i] * aVector(theParameters[i] - 1);
137  }
138 }
std::vector< unsigned int > theParameters
List of fit parameters (with non zero derivatives)
Definition: GblData.h:69
int i
Definition: DBlmapReader.cc:9
std::vector< double > theDerivatives
List of derivatives for fit.
Definition: GblData.h:70
double thePrediction
Prediction from fit.
Definition: GblData.h:68

Member Data Documentation

std::vector<double> gbl::GblData::globalDerivatives
private

Global derivatives.

Definition at line 72 of file GblData.h.

Referenced by addDerivatives(), and getAllData().

std::vector<int> gbl::GblData::globalLabels
private

Labels for global derivatives.

Definition at line 71 of file GblData.h.

Referenced by addDerivatives(), and getAllData().

std::vector<double> gbl::GblData::theDerivatives
private

List of derivatives for fit.

Definition at line 70 of file GblData.h.

Referenced by addDerivatives(), getAllData(), getLocalData(), getResidual(), printData(), and setPrediction().

double gbl::GblData::theDownWeight
private

Down-weighting factor (0-1)

Definition at line 67 of file GblData.h.

Referenced by getChi2(), getLocalData(), getResidual(), and setDownWeighting().

unsigned int gbl::GblData::theLabel
private

Label (of measurements point)

Definition at line 64 of file GblData.h.

Referenced by printData().

std::vector<unsigned int> gbl::GblData::theParameters
private

List of fit parameters (with non zero derivatives)

Definition at line 69 of file GblData.h.

Referenced by addDerivatives(), getAllData(), getLocalData(), getResidual(), printData(), and setPrediction().

double gbl::GblData::thePrecision
private

Precision (1/sigma**2)

Definition at line 66 of file GblData.h.

Referenced by getAllData(), getChi2(), getLocalData(), getResidual(), printData(), and setDownWeighting().

double gbl::GblData::thePrediction
private

Prediction from fit.

Definition at line 68 of file GblData.h.

Referenced by getChi2(), getResidual(), setDownWeighting(), and setPrediction().

double gbl::GblData::theValue
private

Value (residual)

Definition at line 65 of file GblData.h.

Referenced by getAllData(), getChi2(), getLocalData(), getResidual(), printData(), and setDownWeighting().