TUnfoldSysV17 Class Reference

An algorithm to unfold distributions from detector to truth level, with background subtraction and propagation of systematic uncertainties. More...

#include <TUnfoldSys.h>

Inherits TUnfoldV17.

Inherited by TUnfoldDensityV17.

Collaboration diagram for TUnfoldSysV17:

[legend]

List of all members.

Public Types
enum	ESysErrMode { kSysErrModeMatrix = 0, kSysErrModeShift = 1, kSysErrModeRelative = 2 }
	type of matrix specified with AddSysError() More...
Public Member Functions
	TUnfoldSysV17 (const TH2 *hist_A, EHistMap histmap, ERegMode regmode=kRegModeSize, EConstraint constraint=kEConstraintArea)
	set up response matrix A, uncorrelated uncertainties of A and regularisation scheme
	TUnfoldSysV17 (void)
	only for use by root streamer or derived classes
virtual	~TUnfoldSysV17 (void)
void	AddSysError (const TH2 sysError, const char name, EHistMap histmap, ESysErrMode mode)
	Specify a correlated systematic uncertainty.
void	SubtractBackground (const TH1 hist_bgr, const char name, Double_t scale=1.0, Double_t scale_error=0.0)
	Specify a source of background.
virtual Int_t	SetInput (const TH1 hist_y, Double_t scaleBias=0.0, Double_t oneOverZeroError=0.0, const TH2 hist_vyy=0, const TH2 *hist_vyy_inv=0)
	Define input data for subsequent calls to DoUnfold(tau).
void	SetTauError (Double_t delta_tau)
	Specify an uncertainty on tau.
TSortedList *	GetBgrSources (void) const
	Get a new list of all background sources.
TSortedList *	GetSysSources (void) const
	Get a new list of all systematic uuncertainty sources.
void	GetBackground (TH1 bgr, const char bgrSource=0, const Int_t *binMap=0, Int_t includeError=3, Bool_t clearHist=kTRUE) const
	get background into a histogram
void	GetEmatrixSysBackgroundUncorr (TH2 ematrix, const char source, const Int_t *binMap=0, Bool_t clearEmat=kTRUE)
	covariance contribution from background uncorrelated uncertainty
void	GetEmatrixSysBackgroundScale (TH2 ematrix, const char source, const Int_t *binMap=0, Bool_t clearEmat=kTRUE)
	covariance contribution from background normalisation uncertainty
Bool_t	GetDeltaSysBackgroundScale (TH1 delta, const char source, const Int_t *binMap=0)
	correlated one-sigma shifts from background normalisation uncertainty
void	GetEmatrixSysUncorr (TH2 ematrix, const Int_t binMap=0, Bool_t clearEmat=kTRUE)
	Covariance contribution from uncorrelated uncertainties of the response matrix.
void	GetEmatrixSysSource (TH2 ematrix, const char source, const Int_t *binMap=0, Bool_t clearEmat=kTRUE)
	covariance contribution from a systematic variation of the response matrix
Bool_t	GetDeltaSysSource (TH1 hist_delta, const char source, const Int_t *binMap=0)
	correlated one-sigma shifts correspinding to a given systematic uncertainty
void	GetEmatrixSysTau (TH2 ematrix, const Int_t binMap=0, Bool_t clearEmat=kTRUE)
	covariance matrix contribution from error on regularisation parameter
Bool_t	GetDeltaSysTau (TH1 delta, const Int_t binMap=0)
	correlated one-sigma shifts from shifting tau
void	GetEmatrixInput (TH2 ematrix, const Int_t binMap=0, Bool_t clearEmat=kTRUE)
	covariance matrix contribution from input measurement uncertainties
void	GetEmatrixTotal (TH2 ematrix, const Int_t binMap=0)
	Get total error matrix, summing up all contributions.
void	GetRhoItotal (TH1 rhoi, const Int_t binMap=0, TH2 *invEmat=0)
	Get global correlatiocn coefficients, summing up all contributions.
Double_t	GetChi2Sys (void)
	calculate total chi**2 including all systematic errors
Protected Member Functions
virtual void	ClearResults (void)
	reset all results
virtual void	PrepareSysError (void)
	Matrix calculations required to propagate systematic errors.
virtual TMatrixDSparse *	PrepareUncorrEmat (const TMatrixDSparse m1, const TMatrixDSparse m2)
	propagate uncorrelated systematic errors to a covariance matrix
virtual TMatrixDSparse *	PrepareCorrEmat (const TMatrixDSparse m1, const TMatrixDSparse m2, const TMatrixDSparse *dsys)
	propagate correlated systematic shift to an output vector
void	ScaleColumnsByVector (TMatrixDSparse m, const TMatrixTBase< Double_t > v) const
	scale columns of a matrix by the corresponding rows of a vector
void	VectorMapToHist (TH1 hist_delta, const TMatrixDSparse delta, const Int_t *binMap)
	map delta to hist_delta, possibly summing up bins
void	GetEmatrixFromVyy (const TMatrixDSparse vyy, TH2 ematrix, const Int_t *binMap, Bool_t clearEmat)
	propagate an error matrix on the input vector to the unfolding result
void	DoBackgroundSubtraction (void)
	perform background subtraction
TMatrixDSparse *	GetSummedErrorMatrixYY (void)
	determine total error matrix on the vector Ax
TMatrixDSparse *	GetSummedErrorMatrixXX (void)
	determine total error matrix on the vector x
Protected Attributes
TMatrixDSparse *	fDAinRelSq
	Input: normalized errors from input matrix.
TMatrixD *	fDAinColRelSq
	Input: normalized column err.sq. (inp.matr.).
TMatrixD *	fAoutside
	Input: underflow/overflow bins.
TMap *	fSysIn
	Input: correlated errors.
TMap *	fBgrIn
	Input: size of background sources.
TMap *	fBgrErrUncorrInSq
	Input: uncorr error squared from bgr sources.
TMap *	fBgrErrScaleIn
	Input: background sources correlated error.
Double_t	fDtau
	Input: error on tau.
TMatrixD *	fYData
	Input: fY prior to bgr subtraction.
TMatrixDSparse *	fVyyData
	Input: error on fY prior to bgr subtraction.
TMatrixDSparse *	fEmatUncorrX
	Result: syst.error from fDA2 on fX.
TMatrixDSparse *	fEmatUncorrAx
	Result: syst.error from fDA2 on fAx.
TMap *	fDeltaCorrX
	Result: syst.shift from fSysIn on fX.
TMap *	fDeltaCorrAx
	Result: syst.shift from fSysIn on fAx.
TMatrixDSparse *	fDeltaSysTau
	Result: systematic shift from tau.
Private Member Functions
void	InitTUnfoldSys (void)

Detailed Description

An algorithm to unfold distributions from detector to truth level, with background subtraction and propagation of systematic uncertainties.

TUnfoldSys is used to decompose a measurement y into several sources x, given the measurement uncertainties, background b and a matrix of migrations A. The method can be applied to a large number of problems, where the measured distribution y is a linear superposition of several Monte Carlo shapes. Beyond such a simple template fit, TUnfoldSys has an adjustable regularisation term and also supports an optional constraint on the total number of events. Background sources can be specified, with a normalisation constant and normalisation uncertainty. In addition, variants of the response matrix may be specified, these are taken to determine systematic uncertainties.

For most applications, it is better to use the derived class TUnfoldDensity instead of TUnfoldSys. TUnfoldDensity adds features to TUnfoldSys, related to possible complex multidimensional arrangements of bins. For innocent users, the most notable improvement of TUnfoldDensity over TUnfoldSys are the getter functions. For TUnfoldSys, histograms have to be booked by the user and the getter functions fill the histogram bins. TUnfoldDensity simply returns a new, already filled histogram.

If you use this software, please consider the following citation
S.Schmitt, JINST 7 (2012) T10003 [arXiv:1205.6201]
Detailed documentation and updates are available on http://www.desy.de/~sschmitt

Brief recipy to use TUnfoldSys:

a matrix (truth,reconstructed) is given as a two-dimensional histogram as argument to the constructor of TUnfold
a vector of measurements is given as one-dimensional histogram using the SetInput() method
repeated calls to SubtractBackground() to specify background sources
repeated calls to AddSysError() to specify systematic uncertainties
The unfolding is performed
- either once with a fixed parameter tau, method DoUnfold(tau)
- or multiple times in a scan to determine the best chouce of tau, method ScanLCurve()
Unfolding results are retrieved using various GetXXX() methods

Description of (systematic) uncertainties available in TUnfoldSys. There are covariance matrix contributions and there are systematic shifts. Systematic shifts correspond to the variation of a (buicance) parameter, for example a background normalisation or a one-sigma variation of a correlated systematic error.

	Set by	Access covariance matrix	Access vector of shifts	Description
(a)	TUnfoldSys constructor	GetEmatrixSysUncorr()	n.a.	uncorrelated errors on the input matrix histA, taken as the errors provided with the histogram. These are typically statistical errors from finite Monte Carlo samples.
(b)	AddSysError()	GetEmatrixSysSource()	GetDeltaSysSource()	correlated shifts of the input matrix histA. These shifts are taken as one-sigma effects when switchig on a given error soure. Several such error sources may be defined
(c)	SetTauError()	GetEmatrixSysTau()	GetDeltaSysTau()	A systematic error on the regularisation parameter tau
(d)	SubtractBackground()	GetEmatrixSysBackgroundUncorr()	n.a.	uncorrelated errors on background sources, originating from the errors provided with the background histograms
(e)	SubtractBackground	GetEmatrixSysBackgroundScale()	GetDeltaSysBackgroundScale()	scale errors on background sources
(i)	SetInput()	GetEmatrixInput()	n.a.	statistical uncertainty of the input (the measurement)
(i)+(d)+(e)	see above	GetEmatrix()	n.a.	Partial sun of uncertainties: all sources which are propagated to the covariance before unfolding
(i)+(a)+(b)+(c)+(d)+(e)	see above	GetEmatrixTotal()	n.a.	All known error sources summed up

Note: (a), (b), (c) are propagated to the result AFTER unfolding, whereas the background errors (d) and (e) are added to the data errors BEFORE unfolding. For this reason the errors of type (d) and (e) are INCLUDED in the standard error matrix and other methods provided by the base class TUnfold, whereas errors of type (a), (b), (c) are NOT INCLUDED in the methods provided by the base class TUnfold.

Definition at line 56 of file TUnfoldSys.h.

Member Enumeration Documentation

enum TUnfoldSysV17::ESysErrMode

type of matrix specified with AddSysError()

Enumerator:

kSysErrModeMatrix	matrix is an alternative to the default matrix, the errors are the difference to the original matrix
kSysErrModeShift	matrix gives the absolute shifts
kSysErrModeRelative	matrix gives the relative shifts

Definition at line 103 of file TUnfoldSys.h.

Constructor & Destructor Documentation

TUnfoldSysV17::TUnfoldSysV17	(	const TH2 *	hist_A,
		EHistMap	histmap,
		ERegMode	regmode = `kRegModeSize`,
		EConstraint	constraint = `kEConstraintArea`
	)

set up response matrix A, uncorrelated uncertainties of A and regularisation scheme

Parameters:

`[in]`	hist_A	matrix that describes the migrations
`[in]`	histmap	mapping of the histogram axes to the unfolding output
`[in]`	regmode	(default=kRegModeSize) global regularisation mode
`[in]`	constraint	(default=kEConstraintArea) type of constraint

For further details, consult the constructir of the class TUnfold. The uncertainties of hist_A are taken to be uncorrelated and aper propagated to the unfolding result, method GetEmatrixSysUncorr().

Definition at line 200 of file TUnfoldSysV17.cxx.

TUnfoldSysV17::TUnfoldSysV17 ( void )

only for use by root streamer or derived classes

Definition at line 181 of file TUnfoldSysV17.cxx.

virtual TUnfoldSysV17::~TUnfoldSysV17 ( void ) [virtual]

Member Function Documentation

void TUnfoldSysV17::AddSysError	(	const TH2 *	sysError,
		const char *	name,
		EHistMap	histmap,
		ESysErrMode	mode
	)

Specify a correlated systematic uncertainty.

Parameters:

`[in]`	sysError	alternative matrix or matrix of absolute/relative shifts
`[in]`	name	identifier of the error source
`[in]`	histmap	mapping of the histogram axes
`[in]`	mode	format of the error source

sysError corresponds to a one-sigma variation. If may be given in various forms, specified by mode

mode=kSysErrModeMatrix the histogram sysError corresponds to an alternative response matrix.
mode=kSysErrModeShift the content of the histogram sysError are the absolute shifts of the response matrix
mode=kSysErrModeRelative the content of the histogram sysError specifies the relative uncertainties

Internally, all three cases are transformed to the case mode=kSysErrModeMatrix.

Definition at line 289 of file TUnfoldSysV17.cxx.

void TUnfoldSysV17::ClearResults ( void ) [protected, virtual]

reset all results

Reimplemented from TUnfoldV17.

Definition at line 694 of file TUnfoldSysV17.cxx.

void TUnfoldSysV17::DoBackgroundSubtraction ( void ) [protected]

perform background subtraction

This prepares the data members for the base class TUnfold, such that the background is properly taken into account.

Definition at line 373 of file TUnfoldSysV17.cxx.

Referenced by SetInput().

void TUnfoldSysV17::GetBackground	(	TH1 *	bgrHist,
		const char *	bgrSource = `0`,
		const Int_t *	binMap = `0`,
		Int_t	includeError = `3`,
		Bool_t	clearHist = `kTRUE`
	)			const

get background into a histogram

Parameters:

	inout]	bgrHist target histogram, content and errors will be altered
`[in]`	bgrSource	(default=0) name of backgrond source or zero to add all sources of background
`[in]`	binMap	(default=0) remap histogram bins
`[in]`	includeError	(default=3) include uncorrelated(1), correlated (2) or both (3) sources of uncertainty in the histogram errors
`[in]`	clearHist	(default=true) reset histogram before adding up the specified background sources

the array binMap is explained with the method GetOutput(). The flag clearHist may be used to add background from several sources in successive calls to GetBackground().

Definition at line 582 of file TUnfoldSysV17.cxx.

TSortedList * TUnfoldSysV17::GetBgrSources ( void ) const

Get a new list of all background sources.

The user is responsible for deleting the list

Definition at line 1589 of file TUnfoldSysV17.cxx.

Double_t TUnfoldSysV17::GetChi2Sys ( void )

calculate total chi**2 including all systematic errors

Definition at line 1429 of file TUnfoldSysV17.cxx.

Bool_t TUnfoldSysV17::GetDeltaSysBackgroundScale	(	TH1 *	hist_delta,
		const char *	source,
		const Int_t *	binMap = `0`
	)

correlated one-sigma shifts from background normalisation uncertainty

Parameters:

`[out]`	hist_delta	histogram to store shifts
`[in]`	source	identifier of the background source
`[in]`	binMap	(default=0) remapping of histogram bins

returns true if the background source was found.
This method returns the shifts of the unfolding result induced by varying the normalisation of the identified background by one sigma.
the array binMap is explained with the method GetOutput().

Definition at line 1104 of file TUnfoldSysV17.cxx.

Bool_t TUnfoldSysV17::GetDeltaSysSource	(	TH1 *	hist_delta,
		const char *	name,
		const Int_t *	binMap = `0`
	)

correlated one-sigma shifts correspinding to a given systematic uncertainty

Parameters:

`[out]`	hist_delta	histogram to store shifts
`[in]`	name	identifier of the background source
`[in]`	binMap	(default=0) remapping of histogram bins

returns true if the error source was found.
This method returns the shifts of the unfolding result induced by varying the identified systematic source by one sigma.
the array binMap is explained with the method GetOutput().

Definition at line 1076 of file TUnfoldSysV17.cxx.

Bool_t TUnfoldSysV17::GetDeltaSysTau	(	TH1 *	hist_delta,
		const Int_t *	binMap = `0`
	)

correlated one-sigma shifts from shifting tau

Parameters:

`[out]`	hist_delta	histogram to store shifts
`[in]`	source	identifier of the background source
`[in]`	binMap	(default=0) remapping of histogram bins

returns true if the background source was found.
This method returns the shifts of the unfolding result induced by varying the normalisation of the identified background by one sigma.
the array binMap is explained with the method GetOutput().

Definition at line 1135 of file TUnfoldSysV17.cxx.

void TUnfoldSysV17::GetEmatrixFromVyy	(	const TMatrixDSparse *	vyy,
		TH2 *	ematrix,
		const Int_t *	binMap,
		Bool_t	clearEmat
	)			`[protected]`

propagate an error matrix on the input vector to the unfolding result

Parameters:

`[in]`	vyy	input error matrix
	inout]	ematrix histogram to be updated
`[in]`	binMap	mapping of histogram bins
`[in]`	clearEmat	if set, clear histogram before adding this covariance contribution

Definition at line 1300 of file TUnfoldSysV17.cxx.

void TUnfoldSysV17::GetEmatrixInput	(	TH2 *	ematrix,
		const Int_t *	binMap = `0`,
		Bool_t	clearEmat = `kTRUE`
	)

covariance matrix contribution from input measurement uncertainties

Parameters:

	inout]	ematrix output histogram
`[in]`	binMap	(default=0) remapping of histogram bins
`[in]`	clearEmat	(default=true) if true, clear the histogram

this method returns the covariance contributions to the unfolding result from the uncertainties or covariance of the input data. In many cases, these are the "statistical uncertainties".
The array binMap is explained with the method GetOutput(). The flag clearEmat may be used to add covariance matrices from several uncertainty sources.

Definition at line 1257 of file TUnfoldSysV17.cxx.

void TUnfoldSysV17::GetEmatrixSysBackgroundScale	(	TH2 *	ematrix,
		const char *	name,
		const Int_t *	binMap = `0`,
		Bool_t	clearEmat = `kTRUE`
	)

covariance contribution from background normalisation uncertainty

Parameters:

	inout]	ematrix output histogram
`[in]`	source	identifier of the background source
`[in]`	binMap	(default=0) remapping of histogram bins
`[in]`	clearEmat	(default=true) if true, clear the histogram prior to adding the covariance matrix contribution

this method returns the uncertainties on the unfolding result arising from the background source source and its normalisation uncertainty. See method SubtractBackground() how to set the normalisation uncertainty
the array binMap is explained with the method GetOutput(). The flag clearEmat may be used to add covariance matrices from several uncertainty sources.

Definition at line 1194 of file TUnfoldSysV17.cxx.

void TUnfoldSysV17::GetEmatrixSysBackgroundUncorr	(	TH2 *	ematrix,
		const char *	source,
		const Int_t *	binMap = `0`,
		Bool_t	clearEmat = `kTRUE`
	)

covariance contribution from background uncorrelated uncertainty

Parameters:

`[in]`	ematrix	output histogram
`[in]`	source	identifier of the background source
`[in]`	binMap	(default=0) remapping of histogram bins
`[in]`	clearEmat	(default=true) if true, clear the histogram

this method returns the covariance contributions to the unfolding result arising from the background source source and the uncorrelated (background histogram uncertainties). Also see method SubtractBackground()
the array binMap is explained with the method GetOutput(). The flag clearEmat may be used to add covariance matrices from several uncertainty sources.

Definition at line 1279 of file TUnfoldSysV17.cxx.

void TUnfoldSysV17::GetEmatrixSysSource	(	TH2 *	ematrix,
		const char *	name,
		const Int_t *	binMap = `0`,
		Bool_t	clearEmat = `kTRUE`
	)

covariance contribution from a systematic variation of the response matrix

Parameters:

	inout]	ematrix covariance matrix histogram
`[in]`	name	identifier of the systematic variation
`[in]`	binMap	(default=0) remapping of histogram bins
`[in]`	clearEmat	(default=true) if true, clear the histogram prior to adding the covariance matrix contribution

Returns the covariance matrix contribution from shifting the given uncertainty source within one sigma
the array binMap is explained with the method GetOutput(). The flag clearEmat may be used to add covariance matrices from several uncertainty sources.

Definition at line 1163 of file TUnfoldSysV17.cxx.

Referenced by GetEmatrixTotal().

void TUnfoldSysV17::GetEmatrixSysTau	(	TH2 *	ematrix,
		const Int_t *	binMap = `0`,
		Bool_t	clearEmat = `kTRUE`
	)

covariance matrix contribution from error on regularisation parameter

Parameters:

	inout]	ematrix output histogram
`[in]`	binMap	(default=0) remapping of histogram bins
`[in]`	clearEmat	(default=true) if true, clear the histogram

this method returns the covariance contributions to the unfolding result from the assigned uncertainty on the parameter tau, see method SetTauError().
the array binMap is explained with the method GetOutput(). The flag clearEmat may be used to add covariance matrices from several uncertainty sources.

Definition at line 1226 of file TUnfoldSysV17.cxx.

Referenced by GetEmatrixTotal().

void TUnfoldSysV17::GetEmatrixSysUncorr	(	TH2 *	ematrix,
		const Int_t *	binMap = `0`,
		Bool_t	clearEmat = `kTRUE`
	)

Covariance contribution from uncorrelated uncertainties of the response matrix.

Parameters:

	inout]	ematrix covariance matrix histogram
`[in]`	binMap	mapping of histogram bins
`[in]`	clearEmat	if true, ematrix is cleared prior to adding this covariance matrix contribution

This method propagates the uncertainties of the response matrix histogram, specified with the constructor, to the unfolding result. It is assumed that the entries of that histogram are bin-to-bin uncorrelated. In many cases this corresponds to the "Monte Carlo statistical uncertainties".
The array binMap is explained with the method GetOutput(). The flag clearEmat may be used to add covariance matrices from several uncertainty sources.

Definition at line 810 of file TUnfoldSysV17.cxx.

Referenced by GetEmatrixTotal().

void TUnfoldSysV17::GetEmatrixTotal	(	TH2 *	ematrix,
		const Int_t *	binMap = `0`
	)

Get total error matrix, summing up all contributions.

Parameters:

`[out]`	ematrix	histogram which will be filled
`[in]`	binMap	(default=0) remapping of histogram bins

the array binMap is explained with the method GetOutput().

Definition at line 1325 of file TUnfoldSysV17.cxx.

void TUnfoldSysV17::GetRhoItotal	(	TH1 *	rhoi,
		const Int_t *	binMap = `0`,
		TH2 *	invEmat = `0`
	)

Get global correlatiocn coefficients, summing up all contributions.

Parameters:

`[out]`	rhoi	histogram which will be filled
`[in]`	binMap	(default=0) remapping of histogram bins
`[out]`	invEmat	(default=0) inverse of error matrix

return the global correlation coefficients, including all error sources. If invEmat is nonzero, the inverse of the error matrix is returned in that histogram
the array binMap is explained with the method GetOutput().

Definition at line 1464 of file TUnfoldSysV17.cxx.

TMatrixDSparse * TUnfoldSysV17::GetSummedErrorMatrixXX ( void ) [protected]

determine total error matrix on the vector x

Definition at line 1387 of file TUnfoldSysV17.cxx.

Referenced by GetRhoItotal().

TMatrixDSparse * TUnfoldSysV17::GetSummedErrorMatrixYY ( void ) [protected]

determine total error matrix on the vector Ax

Definition at line 1345 of file TUnfoldSysV17.cxx.

Referenced by GetChi2Sys().

TSortedList * TUnfoldSysV17::GetSysSources ( void ) const

Get a new list of all systematic uuncertainty sources.

The user is responsible for deleting the list

Definition at line 1575 of file TUnfoldSysV17.cxx.

void TUnfoldSysV17::InitTUnfoldSys ( void ) [private]

Definition at line 653 of file TUnfoldSysV17.cxx.

Referenced by TUnfoldSysV17().

TMatrixDSparse * TUnfoldSysV17::PrepareCorrEmat	(	const TMatrixDSparse *	m1,
		const TMatrixDSparse *	m2,
		const TMatrixDSparse *	dsys
	)			`[protected, virtual]`

propagate correlated systematic shift to an output vector

Parameters:

`[in]`	m1	coefficients
`[in]`	m2	coeffiicients
`[in]`	dsys	matrix of correlated shifts from this source

Definition at line 1027 of file TUnfoldSysV17.cxx.

Referenced by PrepareSysError().

void TUnfoldSysV17::PrepareSysError ( void ) [protected, virtual]

Matrix calculations required to propagate systematic errors.

Definition at line 707 of file TUnfoldSysV17.cxx.

Referenced by GetDeltaSysSource(), GetDeltaSysTau(), GetSummedErrorMatrixXX(), and GetSummedErrorMatrixYY().

TMatrixDSparse * TUnfoldSysV17::PrepareUncorrEmat	(	const TMatrixDSparse *	m_0,
		const TMatrixDSparse *	m_1
	)			`[protected, virtual]`

propagate uncorrelated systematic errors to a covariance matrix

Parameters:

`[in]`	m_0	coefficients for error propagation
`[in]`	m_1	coefficients for error propagation

returns the covariance matrix

Definition at line 827 of file TUnfoldSysV17.cxx.

Referenced by PrepareSysError().

void TUnfoldSysV17::ScaleColumnsByVector	(	TMatrixDSparse *	m,
		const TMatrixTBase< Double_t > *	v
	)			const `[protected]`

scale columns of a matrix by the corresponding rows of a vector

[inout] m matrix

[in] v vector

the entries m_ij are multiplied by v_j.

Definition at line 1487 of file TUnfoldSysV17.cxx.

Int_t TUnfoldSysV17::SetInput	(	const TH1 *	input,
		Double_t	scaleBias = `0.0`,
		Double_t	oneOverZeroError = `0.0`,
		const TH2 *	hist_vyy = `0`,
		const TH2 *	hist_vyy_inv = `0`
	)			`[virtual]`

Define input data for subsequent calls to DoUnfold(tau).

Parameters:

`[in]`	input	input distribution with uncertainties
`[in]`	scaleBias	(default=0) scale factor applied to the bias
`[in]`	oneOverZeroError	(default=0) for bins with zero error, this number defines 1/error.
`[in]`	hist_vyy	(default=0) if non-zero, this defines the data covariance matrix
`[in]`	hist_vyy_inv	(default=0) if non-zero and hist_vyy is set, defines the inverse of the data covariance matrix. This feature can be useful for repeated unfoldings in cases where the inversion of the input covariance matrix is lengthy

Return value: nError1+10000*nError2

nError1: number of bins where the uncertainty is zero. these bins either are not used for the unfolding (if oneOverZeroError==0) or 1/uncertainty is set to oneOverZeroError.
nError2: return values>10000 are fatal errors, because the unfolding can not be done. The number nError2 corresponds to the number of truth bins which are not constrained by data points.

Reimplemented from TUnfoldV17.

Definition at line 482 of file TUnfoldSysV17.cxx.

void TUnfoldSysV17::SetTauError ( Double_t delta_tau )

Specify an uncertainty on tau.

Parameters:

[in] delta_tau new uncertainty on tau

The default is to have no uncertyainty on tau.

Definition at line 1056 of file TUnfoldSysV17.cxx.

void TUnfoldSysV17::SubtractBackground	(	const TH1 *	bgr,
		const char *	name,
		Double_t	scale = `1.0`,
		Double_t	scale_error = `0.0`
	)

Specify a source of background.

Parameters:

`[in]`	bgr	background distribution with uncorrelated errors
`[in]`	name	identifier for this background source
`[in]`	scale	normalisation factor applied to the background
`[in]`	scaleError	normalisation uncertainty

The contribution scale*bgr is subtracted from the measurement prior to unfolding. The following contributions are added to the input covarianc ematrix

using the uncorrelated histogram errors dbgr, the contribution (scale*dbgr_i)² is added to the diagonals of the covariance
using the histogram contents, the background normalisation uncertainty contribution dscale*bgr_i dscale*bgr_j is added to the covariance matrix

Definition at line 532 of file TUnfoldSysV17.cxx.

void TUnfoldSysV17::VectorMapToHist	(	TH1 *	hist_delta,
		const TMatrixDSparse *	delta,
		const Int_t *	binMap
	)			`[protected]`

map delta to hist_delta, possibly summing up bins

Parameters:

`[out]`	hist_delta	result histogram
`[in]`	delta	vector to be mapped to the histogram
`[in]`	binMap	mapping of histogram bins

grooups of bins of delta are mapped to bins of hist_delta. The histogram contents are set to the sum over the group of bins. The histogram errors are reset to zero.
The array binMap is explained with the method GetOutput()

Definition at line 1539 of file TUnfoldSysV17.cxx.

Referenced by GetDeltaSysSource(), and GetDeltaSysTau().