Data (block) containing value, precision and derivatives for measurements, kinks and external seed. More...

Inheritance diagram for gblpy.gblfit.GblData:

Public Member Functions
def	__init__ (self, aLabel=0, aType=0, aValue=0., aPrec=0., aMeas=0)
	Create new data. More...

def	addDerivatives (self, iRow, labDer, matDer, derLocal=None, labGlobal=None, derGlobal=None)
	Add derivatives to data (block) from measurements and kinks. More...

def	addExtDerivatives (self, indexExt, derExt)
	Add derivatives to data (block) from external seed. More...

def	getMatrices (self)
	Calculate compressed matrix and right hand side from data. More...

def	setPrediction (self, aVector)
	Calculate prediction for data from fit. More...

def	setDownWeighting (self, aMethod)
	Outlier down weighting with M-estimators. More...

def	getChi2 (self)
	Calculate Chi2 (contribution) from data. More...

def	getLabel (self)
	Get Label. More...

def	getType (self)
	Get type. More...

def	getIndex (self)
	Get index. More...

def	getResidual (self)
	Get data for residual (and errors). More...

def	toRecord (self)
	Get data components (for copying to MP binaty record) More...

def	fromRecord (self, dataList)
	Set data components (from MP binaty record) More...

def	analyzeData (self, maxBand)
	Analyze labels of fit parameters to determine number of parameters and border size with given maximal band width. More...

def	printData (self)
	Print data. More...

Private Attributes
	__label
	label of corresponding point; int More...

	__type
	type of data (0: none, 1: internal measurement, 2: internal kink, 3: external seed, 4: external measurement); int More...

	__index
	index for internal measurement More...

	__value
	value (residual or kink); float More...

	__precision
	precision (diagonal element of inverse covariance matrix); float More...

	__dwMethod
	down weighting method; int More...

	__downWeight
	down weighting factor (M-estimators); float More...

	__prediction
	prediction (for value from fit); float More...

	__parameters
	labels of fit parameters (with non zero derivative); list(int) More...

	__derivatives
	derivatives (prediction vs fit parameters); list(float) More...

	__globalLabels
	labels of global parameters; list(int) More...

	__globalDerivatives
	derivatives (prediction vs global parameters); list(float) More...

Detailed Description

Data (block) containing value, precision and derivatives for measurements, kinks and external seed.

Created from attributes of GblPoints, used to construct linear equation system for track fit.

Definition at line 449 of file gblfit.py.

Constructor & Destructor Documentation

◆ init()

def gblpy.gblfit.GblData.__init__	(	self,
		aLabel = `0`,
		aType = `0`,
		aValue = `0.`,
		aPrec = `0.`,
		aMeas = `0`
	)

Create new data.

Parameters

aLabel	label of corresponding point; int
aType	type of data; int
aValue	value; float
aPrec	precision; float
aMeas	measurement index; float

Definition at line 459 of file gblfit.py.

Member Function Documentation

◆ addDerivatives()

def gblpy.gblfit.GblData.addDerivatives	(	self,
		iRow,
		labDer,
		matDer,
		derLocal = `None`,
		labGlobal = `None`,
		derGlobal = `None`
	)

Add derivatives to data (block) from measurements and kinks.

Generate lists of labels.

Parameters

iRow	row of measurement (vector); int
labDer	labels of derivatives vs curvature and band parameters (offsets); vector(int)
matDer	derivatives vs curvature and band parameters (offsets); matrix(float)
derLocal	derivatives vs local parameters; list(float)
labGlobal	labels of global parameters; list(int)
derGlobal	derivatives vs global parameters; list(float)

Definition at line 496 of file gblfit.py.

References gblpy.gblfit.GblData.__derivatives, gblpy.gblfit.GblMeasurement.__globalDerivatives, gblpy.gblfit.GblData.__globalDerivatives, gblpy.gblfit.GblMeasurement.__globalLabels, gblpy.gblfit.GblData.__globalLabels, and gblpy.gblfit.GblData.__parameters.

◆ addExtDerivatives()

def gblpy.gblfit.GblData.addExtDerivatives	(	self,
		indexExt,
		derExt
	)

Add derivatives to data (block) from external seed.

Generate lists of labels.

Parameters

indexExt	labels from exteranl seed; list(int)
derExt	derivatives from exteranl seed; list(float)

Definition at line 520 of file gblfit.py.

References gblpy.gblfit.GblData.__derivatives, and gblpy.gblfit.GblData.__parameters.

◆ analyzeData()

def gblpy.gblfit.GblData.analyzeData	(	self,
		maxBand
	)

Analyze labels of fit parameters to determine number of parameters and border size with given maximal band width.

Parameters

maxBand maximal band width; int

Returns: number of parameters and border size (from this data); pair(int)

Definition at line 647 of file gblfit.py.

References gblpy.gblfit.GblData.__parameters.

◆ fromRecord()

def gblpy.gblfit.GblData.fromRecord	(	self,
		dataList
	)

Set data components (from MP binaty record)

Parameters

dataList data components; list

Definition at line 637 of file gblfit.py.

References gblpy.gblfit.GblData.__derivatives, gblpy.gblfit.GblMeasurement.__globalDerivatives, gblpy.gblfit.GblData.__globalDerivatives, gblpy.gblfit.GblMeasurement.__globalLabels, gblpy.gblfit.GblData.__globalLabels, gblpy.gblfit.GblData.__parameters, gblpy.gblfit.GblData.__precision, gblpy.gblsit.gblSiliconLayer.__precision, and gblpy.gblfit.GblData.__value.

◆ getChi2()

def gblpy.gblfit.GblData.getChi2 ( self )

Calculate Chi2 (contribution) from data.

For down-weighting with M-estimators the corresponding objective function is used.

Returns: Chi2; float

Definition at line 582 of file gblfit.py.

References gblpy.gblfit.GblData.__dwMethod, gblpy.gblfit.GblData.__precision, gblpy.gblsit.gblSiliconLayer.__precision, gblpy.gblfit.GblData.__prediction, and gblpy.gblfit.GblData.__value.

◆ getIndex()

def gblpy.gblfit.GblData.getIndex ( self )

Get index.

Returns: type; int

Definition at line 615 of file gblfit.py.

References gblpy.gblfit.GblData.__index.

◆ getLabel()

def gblpy.gblfit.GblData.getLabel ( self )

Get Label.

Returns: label; int

Definition at line 601 of file gblfit.py.

References gblpy.gblfit.GblPoint.__label, and gblpy.gblfit.GblData.__label.

◆ getMatrices()

def gblpy.gblfit.GblData.getMatrices ( self )

Calculate compressed matrix and right hand side from data.

Returns: indices, compressed right hand side and matrix; list

Definition at line 530 of file gblfit.py.

References gblpy.gblfit.GblData.__derivatives, gblpy.gblfit.GblData.__downWeight, gblpy.gblfit.GblData.__parameters, gblpy.gblfit.GblData.__precision, gblpy.gblsit.gblSiliconLayer.__precision, and gblpy.gblfit.GblData.__value.

◆ getResidual()

def gblpy.gblfit.GblData.getResidual ( self )

Get data for residual (and errors).

Returns: data components; list

Definition at line 622 of file gblfit.py.

References gblpy.gblfit.GblData.__derivatives, gblpy.gblfit.GblData.__downWeight, gblpy.gblfit.GblData.__parameters, gblpy.gblfit.GblData.__precision, gblpy.gblsit.gblSiliconLayer.__precision, gblpy.gblfit.GblData.__prediction, and gblpy.gblfit.GblData.__value.

◆ getType()

def gblpy.gblfit.GblData.getType ( self )

Get type.

Returns: type; int

Definition at line 608 of file gblfit.py.

References gblpy.gblfit.GblPoint.__type, and gblpy.gblfit.GblData.__type.

◆ printData()

def gblpy.gblfit.GblData.printData ( self )

Print data.

Definition at line 656 of file gblfit.py.

References gblpy.gblfit.GblData.__derivatives, gblpy.gblfit.GblMeasurement.__globalDerivatives, gblpy.gblfit.GblData.__globalDerivatives, gblpy.gblfit.GblMeasurement.__globalLabels, gblpy.gblfit.GblData.__globalLabels, gblpy.gblfit.GblPoint.__label, gblpy.gblfit.GblData.__label, gblpy.gblfit.GblData.__parameters, gblpy.gblfit.GblData.__precision, gblpy.gblsit.gblSiliconLayer.__precision, gblpy.gblfit.GblPoint.__type, gblpy.gblfit.GblData.__type, and gblpy.gblfit.GblData.__value.

◆ setDownWeighting()

def gblpy.gblfit.GblData.setDownWeighting	(	self,
		aMethod
	)

Outlier down weighting with M-estimators.

Parameters

aMethod method (1=Tukey, 2=Huber, 3=Cauchy); int

Returns: weight (0..1); float

Definition at line 558 of file gblfit.py.

References gblpy.gblfit.GblData.__downWeight, gblpy.gblfit.GblData.__dwMethod, gblpy.gblfit.GblData.__precision, gblpy.gblsit.gblSiliconLayer.__precision, gblpy.gblfit.GblData.__prediction, and gblpy.gblfit.GblData.__value.

◆ setPrediction()

def gblpy.gblfit.GblData.setPrediction	(	self,
		aVector
	)

Calculate prediction for data from fit.

Parameters

aVector values of fit parameters; vector(float)

Definition at line 541 of file gblfit.py.

References gblpy.gblfit.GblData.__derivatives, gblpy.gblfit.GblData.__parameters, and gblpy.gblfit.GblData.__prediction.

◆ toRecord()

def gblpy.gblfit.GblData.toRecord ( self )

Get data components (for copying to MP binaty record)

Returns: data components; list

Definition at line 629 of file gblfit.py.

References gblpy.gblfit.GblData.__derivatives, gblpy.gblfit.GblMeasurement.__globalDerivatives, gblpy.gblfit.GblData.__globalDerivatives, gblpy.gblfit.GblMeasurement.__globalLabels, gblpy.gblfit.GblData.__globalLabels, gblpy.gblfit.GblData.__parameters, gblpy.gblfit.GblData.__precision, gblpy.gblsit.gblSiliconLayer.__precision, and gblpy.gblfit.GblData.__value.

Member Data Documentation

◆ __derivatives

gblpy.gblfit.GblData.__derivatives

private

derivatives (prediction vs fit parameters); list(float)

Definition at line 479 of file gblfit.py.

Referenced by gblpy.gblfit.GblData.addDerivatives(), gblpy.gblfit.GblData.addExtDerivatives(), gblpy.gblfit.GblData.fromRecord(), gblpy.gblfit.GblData.getMatrices(), gblpy.gblfit.GblData.getResidual(), gblpy.gblfit.GblData.printData(), gblpy.gblfit.GblData.setPrediction(), and gblpy.gblfit.GblData.toRecord().

◆ __downWeight

gblpy.gblfit.GblData.__downWeight

private

down weighting factor (M-estimators); float

Definition at line 473 of file gblfit.py.

Referenced by gblpy.gblfit.GblData.getMatrices(), gblpy.gblfit.GblData.getResidual(), and gblpy.gblfit.GblData.setDownWeighting().

◆ __dwMethod

gblpy.gblfit.GblData.__dwMethod

private

down weighting method; int

Definition at line 471 of file gblfit.py.

Referenced by gblpy.gblfit.GblData.getChi2(), and gblpy.gblfit.GblData.setDownWeighting().

◆ __globalDerivatives

gblpy.gblfit.GblData.__globalDerivatives

private

derivatives (prediction vs global parameters); list(float)

Definition at line 483 of file gblfit.py.

Referenced by gblpy.gblfit.GblData.addDerivatives(), gblpy.gblfit.GblMeasurement.addGlobals(), gblpy.gblfit.GblData.fromRecord(), gblpy.gblfit.GblMeasurement.getGlobalDerivatives(), gblpy.gblfit.GblData.printData(), gblpy.gblfit.GblMeasurement.printMeasurement(), and gblpy.gblfit.GblData.toRecord().

◆ __globalLabels

gblpy.gblfit.GblData.__globalLabels

private

labels of global parameters; list(int)

Definition at line 481 of file gblfit.py.

Referenced by gblpy.gblfit.GblData.addDerivatives(), gblpy.gblfit.GblMeasurement.addGlobals(), gblpy.gblfit.GblData.fromRecord(), gblpy.gblfit.GblMeasurement.getGlobalLabels(), gblpy.gblfit.GblData.printData(), and gblpy.gblfit.GblData.toRecord().

◆ __index

gblpy.gblfit.GblData.__index

private

index for internal measurement

Definition at line 465 of file gblfit.py.

Referenced by gblpy.gblfit.GblData.getIndex().

◆ __label

gblpy.gblfit.GblData.__label

private

label of corresponding point; int

Definition at line 461 of file gblfit.py.

Referenced by gblpy.gblfit.GblPoint.getLabel(), gblpy.gblfit.GblData.getLabel(), gblpy.gblfit.GblData.printData(), gblpy.gblfit.GblPoint.printPoint(), and gblpy.gblfit.GblPoint.setLabel().

◆ __parameters

gblpy.gblfit.GblData.__parameters

private

labels of fit parameters (with non zero derivative); list(int)

Definition at line 477 of file gblfit.py.

Referenced by gblpy.gblfit.GblData.addDerivatives(), gblpy.gblfit.GblData.addExtDerivatives(), gblpy.gblfit.GblData.analyzeData(), gblpy.gblfit.GblData.fromRecord(), gblpy.gblfit.GblData.getMatrices(), gblpy.gblfit.GblData.getResidual(), gblpy.gblfit.GblData.printData(), gblpy.gblfit.GblData.setPrediction(), and gblpy.gblfit.GblData.toRecord().

◆ __precision

gblpy.gblfit.GblData.__precision

private

precision (diagonal element of inverse covariance matrix); float

Definition at line 469 of file gblfit.py.

Referenced by gblpy.gblfit.GblData.fromRecord(), gblpy.gblfit.GblData.getChi2(), gblpy.gblfit.GblData.getMatrices(), gblpy.gblsit.gblSiliconLayer.getPrecision(), gblpy.gblfit.GblData.getResidual(), gblpy.gblfit.GblData.printData(), gblpy.gblfit.GblData.setDownWeighting(), and gblpy.gblfit.GblData.toRecord().

◆ __prediction

gblpy.gblfit.GblData.__prediction

private

prediction (for value from fit); float

Definition at line 475 of file gblfit.py.

Referenced by gblpy.gblfit.GblData.getChi2(), gblpy.gblfit.GblData.getResidual(), gblpy.gblfit.GblData.setDownWeighting(), and gblpy.gblfit.GblData.setPrediction().

◆ __type

gblpy.gblfit.GblData.__type

private

type of data (0: none, 1: internal measurement, 2: internal kink, 3: external seed, 4: external measurement); int

Definition at line 463 of file gblfit.py.

Referenced by gblpy.gblfit.GblData.getType(), gblpy.gblfit.GblPoint.isFirst(), gblpy.gblfit.GblPoint.isLast(), gblpy.gblfit.GblData.printData(), and gblpy.gblfit.GblPoint.setType().

◆ __value

gblpy.gblfit.GblData.__value

private

value (residual or kink); float

Definition at line 467 of file gblfit.py.

Referenced by gblpy.gblfit.GblData.fromRecord(), gblpy.gblfit.GblData.getChi2(), gblpy.gblfit.GblData.getMatrices(), gblpy.gblfit.GblData.getResidual(), gblpy.gblfit.GblData.printData(), gblpy.gblfit.GblData.setDownWeighting(), and gblpy.gblfit.GblData.toRecord().

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

gblfit.py

Public Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ __init__()

Member Function Documentation

◆ addDerivatives()

◆ addExtDerivatives()

◆ analyzeData()

◆ fromRecord()

◆ getChi2()

◆ getIndex()

◆ getLabel()

◆ getMatrices()

◆ getResidual()

◆ getType()

◆ printData()

◆ setDownWeighting()

◆ setPrediction()

◆ toRecord()

Member Data Documentation

◆ __derivatives

◆ __downWeight

◆ __dwMethod

◆ __globalDerivatives

◆ __globalLabels

◆ __index

◆ __label

◆ __parameters

◆ __precision

◆ __prediction

◆ __type

◆ __value

◆ init()