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TUnfold Class Reference

An algorithm to unfold distributions from detector to truth level.

TUnfold is used to decompose a measurement y into several sources x, given the measurement uncertainties 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, TUnfold has an adjustable regularisation term and also supports an optional constraint on the total number of events.

For most applications, it is better to use the derived class TUnfoldDensity instead of TUnfold. TUnfoldDensity adds various features to TUnfold, such as: background subtraction, propagation of systematic uncertainties, complex multidimensional arrangements of the bins. For innocent users, the most notable improvement of TUnfoldDensity over TUnfold are the getter functions. For TUnfold, 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 TUnfold:

  • 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
  • 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

Basic formulae:
χ2A=(Ax-y)TVyy-1(Ax-y)
χ2L=(x-f*x0)TLTL(x-f*x0)
χ2unf2A2χ2L+λΣi(Ax-y)i
x:result, A:probabilities, y:data, Vyy:data covariance, f:bias scale, x0:bias, L:regularisation conditions, τ:regularisation strength, λ:Lagrangian multiplier
Without area constraint, λ is set to zero, and χ2unf is minimized to determine x. With area constraint, both x and λ are determined.

Definition at line 107 of file TUnfold.h.

Public Types

enum  { kSingleKey = (1ULL << (0)) , kOverwrite = (1ULL << (1)) , kWriteDelete = (1ULL << (2)) }
enum  {
  kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 ,
  kBitMask = 0x00ffffff
}
enum  EConstraint { kEConstraintNone =0 , kEConstraintArea =1 }
 type of extra constraint More...
enum  EDeprecatedStatusBits { kObjInCanvas = (1ULL << (3)) }
enum  EHistMap { kHistMapOutputHoriz = 0 , kHistMapOutputVert = 1 }
 arrangement of axes for the response matrix (TH2 histogram) More...
enum  ERegMode {
  kRegModeNone = 0 , kRegModeSize = 1 , kRegModeDerivative = 2 , kRegModeCurvature = 3 ,
  kRegModeMixed = 4
}
 choice of regularisation scheme More...
enum  EStatusBits {
  kCanDelete = (1ULL << (0)) , kMustCleanup = (1ULL << (3)) , kIsReferenced = (1ULL << (4)) , kHasUUID = (1ULL << (5)) ,
  kCannotPick = (1ULL << (6)) , kNoContextMenu = (1ULL << (8)) , kInvalidObject = (1ULL << (13))
}

Public Member Functions

 TUnfold (const TH2 *hist_A, EHistMap histmap, ERegMode regmode=kRegModeSize, EConstraint constraint=kEConstraintArea)
 Set up response matrix and regularisation scheme.
 TUnfold (void)
 only for use by root streamer or derived classes
 ~TUnfold (void) override
void AbstractMethod (const char *method) const
 Call this function within a function that you don't want to define as purely virtual, in order not to force all users deriving from that class to implement that maybe (on their side) unused function; but at the same time, emit a run-time warning if they try to call it, telling that it is not implemented in the derived class: action must thus be taken on the user side to override it.
virtual void AppendPad (Option_t *option="")
 Append graphics object to current pad.
virtual void Browse (TBrowser *b)
 Browse object. May be overridden for another default action.
ULong_t CheckedHash ()
 Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object.
virtual const char * ClassName () const
 Returns name of class to which the object belongs.
virtual void Clear (Option_t *="")
virtual TObjectClone (const char *newname="") const
 Make a clone of an object using the Streamer facility.
virtual Int_t Compare (const TObject *obj) const
 Compare abstract method.
virtual void Copy (TObject &object) const
 Copy this to obj.
virtual void Delete (Option_t *option="")
 Delete this object.
virtual Int_t DistancetoPrimitive (Int_t px, Int_t py)
 Computes distance from point (px,py) to the object.
virtual Double_t DoUnfold (Double_t tau)
 perform the unfolding for a given regularisation parameter tau
Double_t DoUnfold (Double_t tau, const TH1 *hist_y, Double_t scaleBias=0.0)
 perform the unfolding for a given input and regularisation
virtual void Draw (Option_t *option="")
 Default Draw method for all objects.
virtual void DrawClass () const
 Draw class inheritance tree of the class to which this object belongs.
virtual TObjectDrawClone (Option_t *option="") const
 Draw a clone of this object in the current selected pad with: gROOT->SetSelectedPad(c1).
virtual void Dump () const
 Dump contents of object on stdout.
virtual void Error (const char *method, const char *msgfmt,...) const
 Issue error message.
virtual void Execute (const char *method, const char *params, Int_t *error=nullptr)
 Execute method on this object with the given parameter string, e.g.
virtual void Execute (TMethod *method, TObjArray *params, Int_t *error=nullptr)
 Execute method on this object with parameters stored in the TObjArray.
virtual void ExecuteEvent (Int_t event, Int_t px, Int_t py)
 Execute action corresponding to an event at (px,py).
virtual void Fatal (const char *method, const char *msgfmt,...) const
 Issue fatal error message.
virtual TObjectFindObject (const char *name) const
 Must be redefined in derived classes.
virtual TObjectFindObject (const TObject *obj) const
 Must be redefined in derived classes.
void GetBias (TH1 *bias, const Int_t *binMap=nullptr) const
 get bias vector including bias scale
Double_t GetChi2A (void) const
 get χ2A contribution determined in recent unfolding
Double_t GetChi2L (void) const
 get χ2L contribution determined in recent unfolding
double GetDF (void) const
 return the effecive number of degrees of freedom See e.g.
virtual Option_tGetDrawOption () const
 Get option used by the graphics system to draw this object.
void GetDXDY (TH2 *dxdy) const
 get matrix connecting input and output changes
void GetEmatrix (TH2 *ematrix, const Int_t *binMap=nullptr) const
 get output covariance matrix, possibly cumulated over several bins
Double_t GetEpsMatrix (void) const
 get numerical accuracy for Eigenvalue analysis when inverting matrices with rank problems
void GetFoldedOutput (TH1 *folded, const Int_t *binMap=nullptr) const
 get unfolding result on detector level
virtual const char * GetIconName () const
 Returns mime type name of object.
void GetInput (TH1 *inputData, const Int_t *binMap=nullptr) const
 Input vector of measurements.
void GetInputInverseEmatrix (TH2 *ematrix)
 get inverse of the measurement's covariance matrix
void GetL (TH2 *l) const
 get matrix of regularisation conditions
virtual Double_t GetLcurveX (void) const
 get value on x-axis of L-curve determined in recent unfolding
virtual Double_t GetLcurveY (void) const
 get value on y-axis of L-curve determined in recent unfolding
void GetLsquared (TH2 *lsquared) const
 get matrix of regularisation conditions squared
virtual const char * GetName () const
 Returns name of object.
Int_t GetNdf (void) const
 get number of degrees of freedom determined in recent unfolding
void GetNormalisationVector (TH1 *s, const Int_t *binMap=nullptr) const
 histogram of truth bins, determined from suming over the response matrix
Int_t GetNpar (void) const
 get number of truth parameters determined in recent unfolding
Int_t GetNr (void) const
 get number of regularisation conditions
virtual char * GetObjectInfo (Int_t px, Int_t py) const
 Returns string containing info about the object at position (px,py).
virtual Option_tGetOption () const
void GetOutput (TH1 *output, const Int_t *binMap=nullptr) const
 get output distribution, possibly cumulated over several bins
void GetProbabilityMatrix (TH2 *A, EHistMap histmap) const
 get matrix of probabilities
Double_t GetRhoAvg (void) const
 get average global correlation determined in recent unfolding
Double_t GetRhoI (TH1 *rhoi, const Int_t *binMap=nullptr, TH2 *invEmat=nullptr) const
 get global correlation coefficiencts, possibly cumulated over several bins
void GetRhoIJ (TH2 *rhoij, const Int_t *binMap=nullptr) const
 get correlation coefficiencts, possibly cumulated over several bins
Double_t GetRhoMax (void) const
 get maximum global correlation determined in recent unfolding
TVectorD GetSqrtEvEmatrix (void) const
double GetSURE (void) const
 return Stein's unbiased risk estimator See e.g.
Double_t GetTau (void) const
 return regularisation parameter
virtual const char * GetTitle () const
 Returns title of object.
virtual UInt_t GetUniqueID () const
 Return the unique object id.
virtual Bool_t HandleTimer (TTimer *timer)
 Execute action in response of a timer timing out.
virtual ULong_t Hash () const
 Return hash value for this object.
Bool_t HasInconsistentHash () const
 Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e.
virtual void Info (const char *method, const char *msgfmt,...) const
 Issue info message.
virtual Bool_t InheritsFrom (const char *classname) const
 Returns kTRUE if object inherits from class "classname".
virtual Bool_t InheritsFrom (const TClass *cl) const
 Returns kTRUE if object inherits from TClass cl.
virtual void Inspect () const
 Dump contents of this object in a graphics canvas.
void InvertBit (UInt_t f)
TClassIsA () const override
Bool_t IsDestructed () const
 IsDestructed.
virtual Bool_t IsEqual (const TObject *obj) const
 Default equal comparison (objects are equal if they have the same address in memory).
virtual Bool_t IsFolder () const
 Returns kTRUE in case object contains browsable objects (like containers or lists of other objects).
Bool_t IsOnHeap () const
virtual Bool_t IsSortable () const
Bool_t IsZombie () const
virtual void ls (Option_t *option="") const
 The ls function lists the contents of a class on stdout.
void MayNotUse (const char *method) const
 Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary).
virtual Bool_t Notify ()
 This method must be overridden to handle object notification (the base implementation is no-op).
void Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const
 Use this method to declare a method obsolete.
void operator delete (void *, size_t)
 Operator delete for sized deallocation.
void operator delete (void *ptr)
 Operator delete.
void operator delete (void *ptr, void *vp)
 Only called by placement new when throwing an exception.
void operator delete[] (void *, size_t)
 Operator delete [] for sized deallocation.
void operator delete[] (void *ptr)
 Operator delete [].
void operator delete[] (void *ptr, void *vp)
 Only called by placement new[] when throwing an exception.
void * operator new (size_t sz)
void * operator new (size_t sz, void *vp)
void * operator new[] (size_t sz)
void * operator new[] (size_t sz, void *vp)
virtual void Paint (Option_t *option="")
 This method must be overridden if a class wants to paint itself.
virtual void Pop ()
 Pop on object drawn in a pad to the top of the display list.
virtual void Print (Option_t *option="") const
 This method must be overridden when a class wants to print itself.
virtual Int_t Read (const char *name)
 Read contents of object with specified name from the current directory.
virtual void RecursiveRemove (TObject *obj)
 Recursively remove this object from a list.
Int_t RegularizeBins (int start, int step, int nbin, ERegMode regmode)
 add regularisation conditions for a group of bins
Int_t RegularizeBins2D (int start_bin, int step1, int nbin1, int step2, int nbin2, ERegMode regmode)
 add regularisation conditions for 2d unfolding
Int_t RegularizeCurvature (int left_bin, int center_bin, int right_bin, Double_t scale_left=1.0, Double_t scale_right=1.0)
 add a regularisation condition on the curvature of three truth bin
Int_t RegularizeDerivative (int left_bin, int right_bin, Double_t scale=1.0)
 add a regularisation condition on the difference of two truth bin
Int_t RegularizeSize (int bin, Double_t scale=1.0)
 add a regularisation condition on the magnitude of a truth bin
void ResetBit (UInt_t f)
virtual void SaveAs (const char *filename="", Option_t *option="") const
 Save this object in the file specified by filename.
virtual void SavePrimitive (std::ostream &out, Option_t *option="")
 Save a primitive as a C++ statement(s) on output stream "out".
virtual Int_t ScanLcurve (Int_t nPoint, Double_t tauMin, Double_t tauMax, TGraph **lCurve, TSpline **logTauX=nullptr, TSpline **logTauY=nullptr, TSpline **logTauCurvature=nullptr)
 scan the L curve, determine tau and unfold at the final value of tau
virtual Int_t ScanSURE (Int_t nPoint, Double_t tauMin, Double_t tauMax, TGraph **logTauSURE=nullptr, TGraph **df_chi2A=nullptr, TGraph **lCurve=nullptr)
 minimize Stein's unbiased risk estimator "SURE" using successive calls to DoUnfold at various tau.
void SetBias (const TH1 *bias)
 set bias vector
void SetBit (UInt_t f)
void SetBit (UInt_t f, Bool_t set)
 Set or unset the user status bits as specified in f.
void SetConstraint (EConstraint constraint)
 set type of area constraint
virtual void SetDrawOption (Option_t *option="")
 Set drawing option for object.
void SetEpsMatrix (Double_t eps)
 set numerical accuracy for Eigenvalue analysis when inverting matrices with rank problems
virtual Int_t SetInput (const TH1 *hist_y, Double_t scaleBias=0.0, Double_t oneOverZeroError=0.0, const TH2 *hist_vyy=nullptr, const TH2 *hist_vyy_inv=nullptr)
 Define input data for subsequent calls to DoUnfold(tau).
virtual void SetUniqueID (UInt_t uid)
 Set the unique object id.
void Streamer (TBuffer &) override
 Stream an object of class TObject.
void StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)
virtual void SysError (const char *method, const char *msgfmt,...) const
 Issue system error message.
Bool_t TestBit (UInt_t f) const
Int_t TestBits (UInt_t f) const
virtual void UseCurrentStyle ()
 Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked.
virtual void Warning (const char *method, const char *msgfmt,...) const
 Issue warning message.
virtual Int_t Write (const char *name=nullptr, Int_t option=0, Int_t bufsize=0)
 Write this object to the current directory.
virtual Int_t Write (const char *name=nullptr, Int_t option=0, Int_t bufsize=0) const
 Write this object to the current directory.

Static Public Member Functions

static TClassClass ()
static const char * Class_Name ()
static constexpr Version_t Class_Version ()
static const char * DeclFileName ()
static Longptr_t GetDtorOnly ()
 Return destructor only flag.
static Bool_t GetObjectStat ()
 Get status of object stat flag.
static const char * GetTUnfoldVersion (void)
 return a string describing the TUnfold version
static void SetDtorOnly (void *obj)
 Set destructor only flag.
static void SetObjectStat (Bool_t stat)
 Turn on/off tracking of objects in the TObjectTable.

Protected Types

enum  { kOnlyPrepStep = (1ULL << (3)) }

Protected Member Functions

void AddMSparse (TMatrixDSparse *dest, Double_t f, const TMatrixDSparse *src) const
 add a sparse matrix, scaled by a factor, to another scaled matrix
Bool_t AddRegularisationCondition (Int_t i0, Double_t f0, Int_t i1=-1, Double_t f1=0., Int_t i2=-1, Double_t f2=0.)
 add a row of regularisation conditions to the matrix L
Bool_t AddRegularisationCondition (Int_t nEle, const Int_t *indices, const Double_t *rowData)
 add a row of regularisation conditions to the matrix L
void ClearHistogram (TH1 *h, Double_t x=0.) const
 Initialize bin contents and bin errors for a given histogram.
virtual void ClearResults (void)
 reset all results
TMatrixDSparseCreateSparseMatrix (Int_t nrow, Int_t ncol, Int_t nele, Int_t *row, Int_t *col, Double_t *data) const
 create a sparse matrix, given the nonzero elements
virtual void DoError (int level, const char *location, const char *fmt, va_list va) const
 Interface to ErrorHandler (protected).
virtual Double_t DoUnfold (void)
 core unfolding algorithm
void ErrorMatrixToHist (TH2 *ematrix, const TMatrixDSparse *emat, const Int_t *binMap, Bool_t doClear) const
 add up an error matrix, also respecting the bin mapping
const TMatrixDSparseGetAx (void) const
 vector of folded-back result
Int_t GetBinFromRow (int ix) const
 converts matrix row to truth histogram bin number
const TMatrixDSparseGetDXDAM (int i) const
 matrix contributions of the derivative dx/dA
const TMatrixDSparseGetDXDAZ (int i) const
 vector contributions of the derivative dx/dA
const TMatrixDSparseGetDXDtauSquared (void) const
 vector of derivative dx/dtauSquared, using internal bin counting
const TMatrixDSparseGetDXDY (void) const
 matrix of derivatives dx/dy
const TMatrixDSparseGetE (void) const
 matrix E, using internal bin counting
const TMatrixDSparseGetEinv (void) const
 matrix E-1, using internal bin counting
Int_t GetNx (void) const
 returns internal number of output (truth) matrix rows
Int_t GetNy (void) const
 returns the number of measurement bins
virtual TString GetOutputBinName (Int_t iBinX) const
 Get bin name of an outpt bin.
Double_t GetRhoIFromMatrix (TH1 *rhoi, const TMatrixDSparse *eOrig, const Int_t *binMap, TH2 *invEmat) const
Int_t GetRowFromBin (int ix) const
 converts truth histogram bin number to matrix row
const TMatrixDSparseGetVxx (void) const
 covariance matrix of the result
const TMatrixDSparseGetVxxInv (void) const
 inverse of covariance matrix of the result
const TMatrixDSparseGetVyyInv (void) const
 inverse of covariance matrix of the data y
const TMatrixDGetX (void) const
 vector of the unfolding result
TMatrixDSparseInvertMSparseSymmPos (const TMatrixDSparse *A, Int_t *rank) const
 get the inverse or pseudo-inverse of a positive, sparse matrix
void MakeZombie ()
TMatrixDSparseMultiplyMSparseM (const TMatrixDSparse *a, const TMatrixD *b) const
 multiply sparse matrix and a non-sparse matrix
TMatrixDSparseMultiplyMSparseMSparse (const TMatrixDSparse *a, const TMatrixDSparse *b) const
 multiply two sparse matrices
TMatrixDSparseMultiplyMSparseMSparseTranspVector (const TMatrixDSparse *m1, const TMatrixDSparse *m2, const TMatrixTBase< Double_t > *v) const
 calculate a sparse matrix product M1*V*M2T where the diagonal matrix V is given by a vector
TMatrixDSparseMultiplyMSparseTranspMSparse (const TMatrixDSparse *a, const TMatrixDSparse *b) const
 multiply a transposed Sparse matrix with another Sparse matrix

Static Protected Member Functions

static void DeleteMatrix (TMatrixD **m)
 delete matrix and invalidate pointer
static void DeleteMatrix (TMatrixDSparse **m)
 delete sparse matrix and invalidate pointer
static void SavePrimitiveConstructor (std::ostream &out, TClass *cl, const char *variable_name, const char *constructor_agrs="", Bool_t empty_line=kTRUE)
 Save object constructor in the output stream "out".
static void SavePrimitiveDraw (std::ostream &out, const char *variable_name, Option_t *option=nullptr)
 Save invocation of primitive Draw() method Skipped if option contains "nodraw" string.
static TString SavePrimitiveVector (std::ostream &out, const char *prefix, Int_t len, Double_t *arr, Int_t flag=0)
 Save array in the output stream "out" as vector.

Protected Attributes

TMatrixDSparsefA
 response matrix A
Double_t fBiasScale
 scale factor for the bias
EConstraint fConstraint
 type of constraint to use for the unfolding
TArrayI fHistToX
 mapping of histogram bins to matrix indices
TMatrixDSparsefL
 regularisation conditions L
ERegMode fRegMode
 type of regularisation
TArrayD fSumOverY
 truth vector calculated from the non-normalized response matrix
Double_t fTauSquared
 regularisation parameter tau squared
TMatrixDSparsefVyy
 covariance matrix Vyy corresponding to y
TMatrixDfX0
 bias vector x0
TArrayI fXToHist
 mapping of matrix indices to histogram bins
TMatrixDfY
 input (measured) data y

Private Member Functions

void InitTUnfold (void)
 initialize data menbers, for use in constructors

Static Private Member Functions

static void AddToTObjectTable (TObject *)
 Private helper function which will dispatch to TObjectTable::AddObj.

Private Attributes

TMatrixDSparsefAx
 result x folded back A*x
UInt_t fBits
 bit field status word
Double_t fChi2A
 chi**2 contribution from (y-Ax)Vyy-1(y-Ax)
TMatrixDSparsefDXDAM [2]
 matrix contribution to the of derivative dx_k/dA_ij
TMatrixDSparsefDXDAZ [2]
 vector contribution to the of derivative dx_k/dA_ij
TMatrixDSparsefDXDtauSquared
 derivative of the result wrt tau squared
TMatrixDSparsefDXDY
 derivative of the result wrt dx/dy
TMatrixDSparsefE
 matrix E
TMatrixDSparsefEinv
 matrix E^(-1)
Double_t fEpsMatrix
 machine accuracy used to determine matrix rank after eigenvalue analysis
Int_t fIgnoredBins
 number of input bins which are dropped because they have error=nullptr
Double_t fLXsquared
 chi**2 contribution from (x-s*x0)TLTL(x-s*x0)
Int_t fNdf
 number of degrees of freedom
Double_t fRhoAvg
 average global correlation coefficient
Double_t fRhoMax
 maximum global correlation coefficient
UInt_t fUniqueID
 object unique identifier
TMatrixDSparsefVxx
 covariance matrix Vxx
TMatrixDSparsefVxxInv
 inverse of covariance matrix Vxx-1
TMatrixDSparsefVyyInv
 inverse of the input covariance matrix Vyy-1
TMatrixDfX
 unfolding result x

Static Private Attributes

static Longptr_t fgDtorOnly = 0
 object for which to call dtor only (i.e. no delete)
static Bool_t fgObjectStat = kTRUE
 if true keep track of objects in TObjectTable

#include <TUnfold.h>

Inheritance diagram for TUnfold:
TObject TUnfoldSys TUnfoldDensity

Member Enumeration Documentation

◆ anonymous enum

anonymous enum
protectedinherited
Enumerator
kOnlyPrepStep 

Used to request that the class specific implementation of TObject::Write just prepare the objects to be ready to be written but do not actually write them into the TBuffer.

This is just for example by TBufferMerger to request that the TTree inside the file calls TTree::FlushBaskets (outside of the merging lock) and TBufferMerger will later ask for the write (inside the merging lock). To take advantage of this feature the class needs to overload TObject::Write and use this enum value accordingly. (See TTree::Write and TObject::Write) Do not use, this feature will be migrate to the Merge function (See TClass and TTree::Merge)

Definition at line 106 of file TObject.h.

◆ anonymous enum

anonymous enum
inherited
Enumerator
kSingleKey 

write collection with single key

kOverwrite 

overwrite existing object with same name

kWriteDelete 

write object, then delete previous key with same name

Definition at line 99 of file TObject.h.

◆ anonymous enum

anonymous enum
inherited
Enumerator
kIsOnHeap 

object is on heap

kNotDeleted 

object has not been deleted

kZombie 

object ctor failed

kInconsistent 

class overload Hash but does call RecursiveRemove in destructor

kBitMask 

Definition at line 89 of file TObject.h.

◆ EConstraint

type of extra constraint

Enumerator
kEConstraintNone 

use no extra constraint

kEConstraintArea 

enforce preservation of the area

Definition at line 113 of file TUnfold.h.

◆ EDeprecatedStatusBits

Enumerator
kObjInCanvas 

for backward compatibility only, use kMustCleanup

Definition at line 84 of file TObject.h.

◆ EHistMap

arrangement of axes for the response matrix (TH2 histogram)

Enumerator
kHistMapOutputHoriz 

truth level on x-axis of the response matrix

kHistMapOutputVert 

truth level on y-axis of the response matrix

Definition at line 143 of file TUnfold.h.

◆ ERegMode

choice of regularisation scheme

Enumerator
kRegModeNone 

no regularisation, or defined later by RegularizeXXX() methods

kRegModeSize 

regularise the amplitude of the output distribution

kRegModeDerivative 

regularize the 1st derivative of the output distribution

kRegModeCurvature 

regularize the 2nd derivative of the output distribution

kRegModeMixed 

mixed regularisation pattern

Definition at line 123 of file TUnfold.h.

◆ EStatusBits

enum TObject::EStatusBits
inherited
Enumerator
kCanDelete 

if object in a list can be deleted

kMustCleanup 

if object destructor must call RecursiveRemove()

kIsReferenced 

if object is referenced by a TRef or TRefArray

kHasUUID 

if object has a TUUID (its fUniqueID=UUIDNumber)

kCannotPick 

if object in a pad cannot be picked

kNoContextMenu 

if object does not want context menu

kInvalidObject 

if object ctor succeeded but object should not be used

Definition at line 70 of file TObject.h.

Constructor & Destructor Documentation

◆ TUnfold() [1/2]

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

Set up response matrix and regularisation scheme.

Parameters
[in]hist_Amatrix of MC events that describes the migrations
[in]histmapmapping of the histogram axes
[in]regmode(default=kRegModeSize) global regularisation mode
[in]constraint(default=kEConstraintArea) type of constraint

Treatment of overflow bins in the matrix hist_A

  • Events reconstructed in underflow or overflow bins are counted as inefficiency. They have to be filled properly.
  • Events where the truth level is in underflow or overflow bins are treated as a part of the generator level distribution. The full truth level distribution (including underflow and overflow) is unfolded.

If unsure, do the following:

  • store evens where the truth is in underflow or overflow (sometimes called "fakes") in a separate TH1. Ensure that the truth-level underflow and overflow bins of hist_A are all zero.
  • the fakes are background to the measurement. Use the classes TUnfoldSys and TUnfoldDensity instead of the plain TUnfold for subtracting background

Definition at line 1699 of file TUnfold.cxx.

◆ TUnfold() [2/2]

TUnfold::TUnfold ( void )

only for use by root streamer or derived classes

Definition at line 238 of file TUnfold.cxx.

◆ ~TUnfold()

TUnfold::~TUnfold ( void )
override

Definition at line 127 of file TUnfold.cxx.

Member Function Documentation

◆ AbstractMethod()

void TObject::AbstractMethod ( const char * method) const
inherited

Call this function within a function that you don't want to define as purely virtual, in order not to force all users deriving from that class to implement that maybe (on their side) unused function; but at the same time, emit a run-time warning if they try to call it, telling that it is not implemented in the derived class: action must thus be taken on the user side to override it.

In other word, this method acts as a "runtime purely virtual" warning instead of a "compiler purely virtual" error.

Warning
This interface is a legacy function that is no longer recommended to be used by new development code.
Note
The name "AbstractMethod" does not imply that it's an abstract method in the strict C++ sense.

Definition at line 1149 of file TObject.cxx.

◆ AddMSparse()

void TUnfold::AddMSparse ( TMatrixDSparse * dest,
Double_t f,
const TMatrixDSparse * src ) const
protected

add a sparse matrix, scaled by a factor, to another scaled matrix

Parameters
[in,out]destdestination matrix
[in]fscaling factor
[in]srcmatrix to be added to dest

a replacement for (*dest) += f * (*src) which suffered from a bug in old root versions

Definition at line 915 of file TUnfold.cxx.

◆ AddRegularisationCondition() [1/2]

Bool_t TUnfold::AddRegularisationCondition ( Int_t i0,
Double_t f0,
Int_t i1 = -1,
Double_t f1 = 0.,
Int_t i2 = -1,
Double_t f2 = 0. )
protected

add a row of regularisation conditions to the matrix L

Parameters
[in]i0truth histogram bin number
[in]f0entry in the matrix L, column i0
[in]i1truth histogram bin number
[in]f1entry in the matrix L, column i1
[in]i2truth histogram bin number
[in]f2entry in the matrix L, column i2

the arguments are used to form one row (k) of the matrix L, where
Lk,i0=f0 and Lk,i1=f1 and Lk,i2=f2
negative indexes i0,i1,i2 are ignored

Definition at line 1917 of file TUnfold.cxx.

◆ AddRegularisationCondition() [2/2]

Bool_t TUnfold::AddRegularisationCondition ( Int_t nEle,
const Int_t * indices,
const Double_t * rowData )
protected

add a row of regularisation conditions to the matrix L

Parameters
[in]nElenumber of valid entries in indeces and rowData
[in]indicescolumn numbers of L to fill
[in]rowDatadata to fill into the new row of L

returns true if a row was added, false otherwise
A new row k is added to the matrix L, its dimension is expanded. The new elements Lki are filled from the array rowData[] where the indices i which are taken from the array indices[].

Definition at line 1954 of file TUnfold.cxx.

◆ AddToTObjectTable()

void TObject::AddToTObjectTable ( TObject * op)
staticprivateinherited

Private helper function which will dispatch to TObjectTable::AddObj.

Included here to avoid circular dependency between header files.

Definition at line 195 of file TObject.cxx.

◆ AppendPad()

void TObject::AppendPad ( Option_t * option = "")
virtualinherited

Append graphics object to current pad.

In case no current pad is set yet, create a default canvas with the name "c1".

Definition at line 204 of file TObject.cxx.

◆ Browse()

◆ CheckedHash()

ULong_t TObject::CheckedHash ( )
inlineinherited

Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object.

The intent is for this routine to be called instead of directly calling the function Hash during "insert" operations. See TObject::HasInconsistenTObjectHash();

(*) The setup is consistent when all classes in the class hierarchy that overload TObject::Hash do call ROOT::CallRecursiveRemoveIfNeeded in their destructor. i.e. it is safe to call the Hash virtual function during the RecursiveRemove operation.

Definition at line 332 of file TObject.h.

◆ Class()

TClass * TUnfold::Class ( )
static
Returns
TClass describing this class

◆ Class_Name()

const char * TUnfold::Class_Name ( )
static
Returns
Name of this class

◆ Class_Version()

constexpr Version_t TUnfold::Class_Version ( )
inlinestaticconstexpr
Returns
Version of this class

Definition at line 357 of file TUnfold.h.

◆ ClassName()

const char * TObject::ClassName ( ) const
virtualinherited

Returns name of class to which the object belongs.

Definition at line 227 of file TObject.cxx.

◆ Clear()

◆ ClearHistogram()

void TUnfold::ClearHistogram ( TH1 * h,
Double_t x = 0. ) const
protected

Initialize bin contents and bin errors for a given histogram.

Parameters
[out]hhistogram
[in]xnew histogram content

all histgram errors are set to zero, all contents are set to x

Definition at line 3680 of file TUnfold.cxx.

◆ ClearResults()

void TUnfold::ClearResults ( void )
protectedvirtual

reset all results

Reimplemented in TUnfoldSys.

Definition at line 208 of file TUnfold.cxx.

◆ Clone()

TObject * TObject::Clone ( const char * newname = "") const
virtualinherited

Make a clone of an object using the Streamer facility.

If the object derives from TNamed, this function is called by TNamed::Clone. TNamed::Clone uses the optional argument to set a new name to the newly created object.

If the object class has a DirectoryAutoAdd function, it will be called at the end of the function with the parameter gDirectory. This usually means that the object will be appended to the current ROOT directory.

Reimplemented in RooAbsArg, RooAbsBinning, RooAbsCollection, RooAbsStudy, RooCatType, RooCmdArg, RooDataHist, RooDataSet, RooFitResult, RooLinkedList, RooStats::HypoTestResult, RooStats::ModelConfig, RooStudyPackage, RooTemplateProxy< T >, RooTemplateProxy< const RooHistFunc >, RooTemplateProxy< RooAbsCategory >, RooTemplateProxy< RooAbsPdf >, RooTemplateProxy< RooAbsReal >, RooTemplateProxy< RooAbsRealLValue >, RooTemplateProxy< RooMultiCategory >, RooTemplateProxy< RooRealVar >, RooWorkspace, TASImage, TChainIndex, TClass, TCollection, TF1, TFunction, TFunctionTemplate, TH1, TImage, TMethod, TMethodCall, TMinuit, TMVA::MinuitWrapper, TNamed, TStreamerInfo, and TTreeIndex.

Definition at line 243 of file TObject.cxx.

◆ Compare()

Int_t TObject::Compare ( const TObject * obj) const
virtualinherited

Compare abstract method.

Must be overridden if a class wants to be able to compare itself with other objects. Must return -1 if this is smaller than obj, 0 if objects are equal and 1 if this is larger than obj.

Reimplemented in RooAbsArg, RooDouble, TCollection, TEnvRec, TFileInfo, TGeoBranchArray, TGeoOverlap, TGFSFrameElement, TGLBFrameElement, TNamed, TObjString, TParameter< AParamType >, TParameter< Long64_t >, TStructNode, TStructNodeProperty, and TUrl.

Definition at line 258 of file TObject.cxx.

◆ Copy()

◆ CreateSparseMatrix()

TMatrixDSparse * TUnfold::CreateSparseMatrix ( Int_t nrow,
Int_t ncol,
Int_t nel,
Int_t * row,
Int_t * col,
Double_t * data ) const
protected

create a sparse matrix, given the nonzero elements

Parameters
[in]nrownumber of rows
[in]ncolnumber of columns
[in]nelnumber of non-zero elements
[in]rowrow indexes of non-zero elements
[in]colcolumn indexes of non-zero elements
[in]datanon-zero elements data

return pointer to a new sparse matrix

shortcut to new TMatrixDSparse() followed by SetMatrixArray()

Definition at line 578 of file TUnfold.cxx.

◆ DeclFileName()

const char * TUnfold::DeclFileName ( )
inlinestatic
Returns
Name of the file containing the class declaration

Definition at line 357 of file TUnfold.h.

◆ Delete()

void TObject::Delete ( Option_t * option = "")
virtualinherited

◆ DeleteMatrix() [1/2]

void TUnfold::DeleteMatrix ( TMatrixD ** m)
staticprotected

delete matrix and invalidate pointer

Parameters
[in,out]mpointer to a matrix-pointer

if the matrix pointer os non-zero, thematrix id deleted. The matrox pointer is set to zero.

Definition at line 188 of file TUnfold.cxx.

◆ DeleteMatrix() [2/2]

void TUnfold::DeleteMatrix ( TMatrixDSparse ** m)
staticprotected

delete sparse matrix and invalidate pointer

Parameters
[in,out]mpointer to a matrix-pointer

if the matrix pointer os non-zero, thematrix id deleted. The matrox pointer is set to zero.

Definition at line 200 of file TUnfold.cxx.

◆ DistancetoPrimitive()

◆ DoError()

void TObject::DoError ( int level,
const char * location,
const char * fmt,
va_list va ) const
protectedvirtualinherited

Interface to ErrorHandler (protected).

Reimplemented in TThread, and TTreeViewer.

Definition at line 1059 of file TObject.cxx.

◆ DoUnfold() [1/3]

Double_t TUnfold::DoUnfold ( Double_t tau)
virtual

perform the unfolding for a given regularisation parameter tau

Parameters
[in]tauregularisation parameter

this method sets tau and then calls the core unfolding algorithm

Definition at line 2491 of file TUnfold.cxx.

◆ DoUnfold() [2/3]

Double_t TUnfold::DoUnfold ( Double_t tau_reg,
const TH1 * input,
Double_t scaleBias = 0.0 )

perform the unfolding for a given input and regularisation

Parameters
[in]tau_regregularisation parameter
[in]inputinput distribution with uncertainties
[in]scaleBias(default=0.0) scale factor applied to the bias

This is a shortcut for { SetInput(input,scaleBias); DoUnfold(tau); }

Definition at line 2235 of file TUnfold.cxx.

◆ DoUnfold() [3/3]

Double_t TUnfold::DoUnfold ( void )
protectedvirtual

core unfolding algorithm

Definition at line 246 of file TUnfold.cxx.

◆ Draw()

◆ DrawClass()

void TObject::DrawClass ( ) const
virtualinherited

Draw class inheritance tree of the class to which this object belongs.

If a class B inherits from a class A, description of B is drawn on the right side of description of A. Member functions overridden by B are shown in class A with a blue line crossing-out the corresponding member function. The following picture is the class inheritance tree of class TPaveLabel:

Reimplemented in TGFrame, TSystemDirectory, and TSystemFile.

Definition at line 308 of file TObject.cxx.

◆ DrawClone()

TObject * TObject::DrawClone ( Option_t * option = "") const
virtualinherited

Draw a clone of this object in the current selected pad with: gROOT->SetSelectedPad(c1).

If pad was not selected - gPad will be used.

Note
For histograms, use the more specialised TH1::DrawCopy().

Reimplemented in TAxis, TCanvas, TGFrame, TSystemDirectory, and TSystemFile.

Definition at line 319 of file TObject.cxx.

◆ Dump()

void TObject::Dump ( ) const
virtualinherited

Dump contents of object on stdout.

Using the information in the object dictionary (class TClass) each data member is interpreted. If a data member is a pointer, the pointer value is printed

The following output is the Dump of a TArrow object:

fAngle 0 Arrow opening angle (degrees)
fArrowSize 0.2 Arrow Size
fOption.*fData
fX1 0.1 X of 1st point
fY1 0.15 Y of 1st point
fX2 0.67 X of 2nd point
fY2 0.83 Y of 2nd point
fUniqueID 0 object unique identifier
fBits 50331648 bit field status word
fLineColor 1 line color
fLineStyle 1 line style
fLineWidth 1 line width
fFillColor 19 fill area color
fFillStyle 1001 fill area style
#define X(type, name)
UInt_t fUniqueID
object unique identifier
Definition TObject.h:46
UInt_t fBits
bit field status word
Definition TObject.h:47
TLine * line
TCanvas * style()
Definition style.C:1

Reimplemented in TClass, TCollection, TGFrame, TGPack, and TSystemFile.

Definition at line 367 of file TObject.cxx.

◆ Error()

void TObject::Error ( const char * location,
const char * fmt,
... ) const
virtualinherited

Issue error message.

Use "location" to specify the method where the error occurred. Accepts standard printf formatting arguments.

Reimplemented in TFitResult.

Definition at line 1098 of file TObject.cxx.

◆ ErrorMatrixToHist()

void TUnfold::ErrorMatrixToHist ( TH2 * ematrix,
const TMatrixDSparse * emat,
const Int_t * binMap,
Bool_t doClear ) const
protected

add up an error matrix, also respecting the bin mapping

Parameters
[in,out]ematrixerror matrix histogram
[in]ematerror matrix stored with internal mapping (member fXToHist)
[in]binMapmapping of histogram bins
[in]doClearif true, ematrix is cleared prior to adding elements of emat to it.

the array binMap is explained with the method GetOutput(). The matrix emat must have dimension NxN where N=fXToHist.size() The flag doClear may be used to add covariance matrices from several uncertainty sources.

Definition at line 3379 of file TUnfold.cxx.

◆ Execute() [1/2]

void TObject::Execute ( const char * method,
const char * params,
Int_t * error = nullptr )
virtualinherited

Execute method on this object with the given parameter string, e.g.

"3.14,1,\"text\"".

Reimplemented in ROOT::R::TRInterface, TCling, TContextMenu, TInterpreter, and TMethodCall.

Definition at line 378 of file TObject.cxx.

◆ Execute() [2/2]

void TObject::Execute ( TMethod * method,
TObjArray * params,
Int_t * error = nullptr )
virtualinherited

Execute method on this object with parameters stored in the TObjArray.

The TObjArray should contain an argv vector like:

argv[0] ... argv[n] = the list of TObjString parameters
Collectable string class.
Definition TObjString.h:28
const Int_t n
Definition legend1.C:16

Reimplemented in ROOT::R::TRInterface, TCling, TContextMenu, TInterpreter, and TMethodCall.

Definition at line 398 of file TObject.cxx.

◆ ExecuteEvent()

◆ Fatal()

void TObject::Fatal ( const char * location,
const char * fmt,
... ) const
virtualinherited

Issue fatal error message.

Use "location" to specify the method where the fatal error occurred. Accepts standard printf formatting arguments.

Definition at line 1126 of file TObject.cxx.

◆ FindObject() [1/2]

TObject * TObject::FindObject ( const char * name) const
virtualinherited

Must be redefined in derived classes.

This function is typically used with TCollections, but can also be used to find an object by name inside this object.

Reimplemented in RooAbsCollection, RooLinkedList, TBtree, TCollection, TDirectory, TFolder, TGeometry, TGraph2D, TGraph, TH1, THashList, THashTable, THbookFile, TList, TListOfDataMembers, TListOfEnums, TListOfEnumsWithLock, TListOfFunctions, TListOfFunctionTemplates, TListOfTypes, TMap, TObjArray, TPad, TROOT, TViewPubDataMembers, and TViewPubFunctions.

Definition at line 425 of file TObject.cxx.

◆ FindObject() [2/2]

TObject * TObject::FindObject ( const TObject * obj) const
virtualinherited

Must be redefined in derived classes.

This function is typically used with TCollections, but can also be used to find an object inside this object.

Reimplemented in RooAbsCollection, RooLinkedList, TBtree, TCollection, TDirectory, TFolder, TGeometry, TGraph2D, TGraph, TH1, THashList, THashTable, THbookFile, TList, TListOfDataMembers, TListOfEnums, TListOfEnumsWithLock, TListOfFunctions, TListOfFunctionTemplates, TListOfTypes, TMap, TObjArray, TPad, TROOT, TViewPubDataMembers, and TViewPubFunctions.

Definition at line 435 of file TObject.cxx.

◆ GetAx()

const TMatrixDSparse * TUnfold::GetAx ( void ) const
inlineprotected

vector of folded-back result

Definition at line 248 of file TUnfold.h.

◆ GetBias()

void TUnfold::GetBias ( TH1 * out,
const Int_t * binMap = nullptr ) const

get bias vector including bias scale

Parameters
[out]outhistogram to store the scaled bias vector. The bin contents are overwritten
[in]binMap(default=nullptr) array for mapping truth bins to histogram bins

This method returns the bias vector times scaling factor, f*x0

The use of binMap is explained with the documentation of the GetOutput() method

Definition at line 2935 of file TUnfold.cxx.

◆ GetBinFromRow()

Int_t TUnfold::GetBinFromRow ( int ix) const
inlineprotected

converts matrix row to truth histogram bin number

Definition at line 236 of file TUnfold.h.

◆ GetChi2A()

Double_t TUnfold::GetChi2A ( void ) const
inline

get χ2A contribution determined in recent unfolding

Definition at line 329 of file TUnfold.h.

◆ GetChi2L()

Double_t TUnfold::GetChi2L ( void ) const

get χ2L contribution determined in recent unfolding

Definition at line 3231 of file TUnfold.cxx.

◆ GetDF()

double TUnfold::GetDF ( void ) const

return the effecive number of degrees of freedom See e.g.

arXiv:1612.09415 and the references therein

Here, DF is calculated using the dependence of the unfolding result x on the data y

This calculation is done assuming a CONSTANT data variance. I.e. the uncertainties reported to TUnfold in "SetInput()" ought to be independent of the measurements. This is NOT true for standard Poisson-distributed data. In practice the impact is expected to be small

Definition at line 3749 of file TUnfold.cxx.

◆ GetDrawOption()

Option_t * TObject::GetDrawOption ( ) const
virtualinherited

Get option used by the graphics system to draw this object.

Note that before calling object.GetDrawOption(), you must have called object.Draw(..) before in the current pad.

Reimplemented in TBrowser, TFitEditor, TGedFrame, TGFileBrowser, TRootBrowser, and TRootBrowserLite.

Definition at line 445 of file TObject.cxx.

◆ GetDtorOnly()

Longptr_t TObject::GetDtorOnly ( )
staticinherited

Return destructor only flag.

Definition at line 1196 of file TObject.cxx.

◆ GetDXDAM()

const TMatrixDSparse * TUnfold::GetDXDAM ( int i) const
inlineprotected

matrix contributions of the derivative dx/dA

Definition at line 252 of file TUnfold.h.

◆ GetDXDAZ()

const TMatrixDSparse * TUnfold::GetDXDAZ ( int i) const
inlineprotected

vector contributions of the derivative dx/dA

Definition at line 254 of file TUnfold.h.

◆ GetDXDtauSquared()

const TMatrixDSparse * TUnfold::GetDXDtauSquared ( void ) const
inlineprotected

vector of derivative dx/dtauSquared, using internal bin counting

Definition at line 265 of file TUnfold.h.

◆ GetDXDY() [1/2]

void TUnfold::GetDXDY ( TH2 * dxdy) const

get matrix connecting input and output changes

get matrix describing gow the result changes with the input data

Parameters
[out]dxdytwo-dimensional histogram to store the matrix connecting the output and input data. The bin contents are overwritten for those bins where dxdy is non-zero.

Definition at line 3038 of file TUnfold.cxx.

◆ GetDXDY() [2/2]

const TMatrixDSparse * TUnfold::GetDXDY ( void ) const
inlineprotected

matrix of derivatives dx/dy

Definition at line 250 of file TUnfold.h.

◆ GetE()

const TMatrixDSparse * TUnfold::GetE ( void ) const
inlineprotected

matrix E, using internal bin counting

Definition at line 258 of file TUnfold.h.

◆ GetEinv()

const TMatrixDSparse * TUnfold::GetEinv ( void ) const
inlineprotected

matrix E-1, using internal bin counting

Definition at line 256 of file TUnfold.h.

◆ GetEmatrix()

void TUnfold::GetEmatrix ( TH2 * ematrix,
const Int_t * binMap = nullptr ) const

get output covariance matrix, possibly cumulated over several bins

Parameters
[out]ematrixhistogram to store the covariance. The bin contents are overwritten.
[in]binMap(default=nullptr) array for mapping truth bins to histogram bins

The use of binMap is explained with the documentation of the GetOutput() method

Definition at line 3446 of file TUnfold.cxx.

◆ GetEpsMatrix()

Double_t TUnfold::GetEpsMatrix ( void ) const
inline

get numerical accuracy for Eigenvalue analysis when inverting matrices with rank problems

Definition at line 352 of file TUnfold.h.

◆ GetFoldedOutput()

void TUnfold::GetFoldedOutput ( TH1 * out,
const Int_t * binMap = nullptr ) const

get unfolding result on detector level

Parameters
[out]outhistogram to store the correlation coefficiencts. The bin contents and errors are overwritten.
[in]binMap(default=nullptr) array for mapping truth bins to histogram bins

This method returns the unfolding output folded by the response matrix, i.e. the vector Ax.

The use of binMap is explained with the documentation of the GetOutput() method

Definition at line 2962 of file TUnfold.cxx.

◆ GetIconName()

const char * TObject::GetIconName ( ) const
virtualinherited

Returns mime type name of object.

Used by the TBrowser (via TGMimeTypes class). Override for class of which you would like to have different icons for objects of the same class.

Reimplemented in ROOT::Experimental::XRooFit::xRooNode, TASImage, TBranch, TBranchElement, TGeoVolume, TGMainFrame, TKey, TMethodBrowsable, TSystemFile, and TVirtualBranchBrowsable.

Definition at line 472 of file TObject.cxx.

◆ GetInput()

void TUnfold::GetInput ( TH1 * out,
const Int_t * binMap = nullptr ) const

Input vector of measurements.

Parameters
[out]outhistogram to store the measurements. Bin content and bin errors are overwritte.
[in]binMap(default=nullptr) array for mapping truth bins to histogram bins

Bins which had an uncertainty of zero in the call to SetInput() maye acquire bin contents or bin errors different from the original settings in SetInput().

The use of binMap is explained with the documentation of the GetOutput() method

Definition at line 3069 of file TUnfold.cxx.

◆ GetInputInverseEmatrix()

void TUnfold::GetInputInverseEmatrix ( TH2 * out)

get inverse of the measurement's covariance matrix

Parameters
[out]outhistogram to store the inverted covariance

Definition at line 3098 of file TUnfold.cxx.

◆ GetL()

void TUnfold::GetL ( TH2 * out) const

get matrix of regularisation conditions

Parameters
[out]outhistogram to store the regularisation conditions. the bincontents are overwritten

The histogram should have dimension nr (y-axis) times nx (x-axis). nr corresponds to the number of regularisation conditions, it can be obtained using the method GetNr(). nx corresponds to the number of histogram bins in the response matrix along the truth axis.

Definition at line 3191 of file TUnfold.cxx.

◆ GetLcurveX()

Double_t TUnfold::GetLcurveX ( void ) const
virtual

get value on x-axis of L-curve determined in recent unfolding

x=log10(GetChi2A())

Definition at line 3251 of file TUnfold.cxx.

◆ GetLcurveY()

Double_t TUnfold::GetLcurveY ( void ) const
virtual

get value on y-axis of L-curve determined in recent unfolding

y=log10(GetChi2L())

Definition at line 3260 of file TUnfold.cxx.

◆ GetLsquared()

void TUnfold::GetLsquared ( TH2 * out) const

get matrix of regularisation conditions squared

Parameters
[out]outhistogram to store the squared matrix of regularisation conditions. the bin contents are overwritten

This returns the square matrix LTL as a histogram

The histogram should have dimension nx times nx, where nx corresponds to the number of histogram bins in the response matrix along the truth axis.

Definition at line 3151 of file TUnfold.cxx.

◆ GetName()

◆ GetNdf()

Int_t TUnfold::GetNdf ( void ) const
inline

get number of degrees of freedom determined in recent unfolding

This returns the number of valid measurements minus the number of unfolded truth bins. If the area constraint is active, one further degree of freedom is subtracted

Definition at line 339 of file TUnfold.h.

◆ GetNormalisationVector()

void TUnfold::GetNormalisationVector ( TH1 * out,
const Int_t * binMap = nullptr ) const

histogram of truth bins, determined from suming over the response matrix

Parameters
[out]outhistogram to store the truth bins. The bin contents are overwritten
[in]binMap(default=nullptr) array for mapping truth bins to histogram bins

This vector is also used to initialize the bias x0. However, the bias vector may be changed using the SetBias() method.

The use of binMap is explained with the documentation of the GetOutput() method

Definition at line 2910 of file TUnfold.cxx.

◆ GetNpar()

Int_t TUnfold::GetNpar ( void ) const

get number of truth parameters determined in recent unfolding

empty bins of the response matrix or bins which can not be unfolded due to rank deficits are not counted

Definition at line 3242 of file TUnfold.cxx.

◆ GetNr()

Int_t TUnfold::GetNr ( void ) const

get number of regularisation conditions

Ths returns the number of regularisation conditions, useful for booking a histogram for a subsequent call of GetL().

Definition at line 3176 of file TUnfold.cxx.

◆ GetNx()

Int_t TUnfold::GetNx ( void ) const
inlineprotected

returns internal number of output (truth) matrix rows

Definition at line 230 of file TUnfold.h.

◆ GetNy()

Int_t TUnfold::GetNy ( void ) const
inlineprotected

returns the number of measurement bins

Definition at line 238 of file TUnfold.h.

◆ GetObjectInfo()

char * TObject::GetObjectInfo ( Int_t px,
Int_t py ) const
virtualinherited

Returns string containing info about the object at position (px,py).

This method is typically overridden by classes of which the objects can report peculiarities for different positions. Returned string will be re-used (lock in MT environment).

Reimplemented in TASImage, TAxis3D, TColorWheel, TF1, TF2, TFileDrawMap, TGeoNode, TGeoTrack, TGeoVolume, TGL5DDataSet, TGLHistPainter, TGLParametricEquation, TGLTH3Composition, TGraph, TH1, THistPainter, TNode, TPaletteAxis, TParallelCoordVar, and TVirtualHistPainter.

Definition at line 491 of file TObject.cxx.

◆ GetObjectStat()

Bool_t TObject::GetObjectStat ( )
staticinherited

Get status of object stat flag.

Definition at line 1181 of file TObject.cxx.

◆ GetOption()

virtual Option_t * TObject::GetOption ( ) const
inlinevirtualinherited

◆ GetOutput()

void TUnfold::GetOutput ( TH1 * output,
const Int_t * binMap = nullptr ) const

get output distribution, possibly cumulated over several bins

Parameters
[out]outputexisting output histogram. content and errors will be updated.
[in]binMap(default=nullptr) array for mapping truth bins to histogram bins

If nonzero, the array binMap must have dimension n+2, where n corresponds to the number of bins on the truth axis of the response matrix (the histogram specified with the TUnfold constructor). The indexes of binMap correspond to the truth bins (including underflow and overflow) of the response matrix. The element binMap[i] specifies the histogram number in output where the corresponding truth bin will be stored. It is possible to specify the same output bin number for multiple indexes, in which case these bins are added. Set binMap[i]=-1 to ignore an unfolded truth bin. The uncertainties are calculated from the corresponding parts of the covariance matrix, properly taking care of added truth bins.
If the pointer binMap is zero, the bins are mapped one-to-one. Truth bin zero (underflow) is stored in the output underflow, truth bin 1 is stored in bin number 1, etc.

Definition at line 3289 of file TUnfold.cxx.

◆ GetOutputBinName()

TString TUnfold::GetOutputBinName ( Int_t iBinX) const
protectedvirtual

Get bin name of an outpt bin.

Parameters
[in]iBinXbin number

Return value: name of the bin
For TUnfold and TUnfoldSys, this function simply returns the bin number as a string. This function really only makes sense in the context of TUnfoldDensity, where binnig schemes are implemented using the class TUnfoldBinning, and non-trivial bin names are returned.

Reimplemented in TUnfoldDensity.

Definition at line 1667 of file TUnfold.cxx.

◆ GetProbabilityMatrix()

void TUnfold::GetProbabilityMatrix ( TH2 * A,
EHistMap histmap ) const

get matrix of probabilities

Parameters
[out]Atwo-dimensional histogram to store the probabilities (normalized response matrix). The bin contents are overwritten for those bins where A is nonzero
[in]histmapspecify axis along which the truth bins are oriented

Definition at line 3010 of file TUnfold.cxx.

◆ GetRhoAvg()

Double_t TUnfold::GetRhoAvg ( void ) const
inline

get average global correlation determined in recent unfolding

Definition at line 327 of file TUnfold.h.

◆ GetRhoI()

Double_t TUnfold::GetRhoI ( TH1 * rhoi,
const Int_t * binMap = nullptr,
TH2 * invEmat = nullptr ) const

get global correlation coefficiencts, possibly cumulated over several bins

Parameters
[out]rhoihistogram to store the global correlation coefficients. The bin contents are overwritten.
[in]binMap(default=nullptr) array for mapping truth bins to histogram bins
[out]invEmat(default=nullptr) histogram to store the inverted covariance matrix

for a given bin, the global correlation coefficient is defined as
ρi=sqrt(1-1/(Vii*V-1ii))
such that the calculation of global correlation coefficients possibly involves the inversion of a covariance matrix.

return value: maximum global correlation coefficient

The use of binMap is explained with the documentation of the GetOutput() method

Definition at line 3504 of file TUnfold.cxx.

◆ GetRhoIFromMatrix()

Double_t TUnfold::GetRhoIFromMatrix ( TH1 * rhoi,
const TMatrixDSparse * eOrig,
const Int_t * binMap,
TH2 * invEmat ) const
protected

Definition at line 3553 of file TUnfold.cxx.

◆ GetRhoIJ()

void TUnfold::GetRhoIJ ( TH2 * rhoij,
const Int_t * binMap = nullptr ) const

get correlation coefficiencts, possibly cumulated over several bins

Parameters
[out]rhoijhistogram to store the correlation coefficiencts. The bin contents are overwritten.
[in]binMap(default=nullptr) array for mapping truth bins to histogram bins

The use of binMap is explained with the documentation of the GetOutput() method

Definition at line 3461 of file TUnfold.cxx.

◆ GetRhoMax()

Double_t TUnfold::GetRhoMax ( void ) const
inline

get maximum global correlation determined in recent unfolding

Definition at line 325 of file TUnfold.h.

◆ GetRowFromBin()

Int_t TUnfold::GetRowFromBin ( int ix) const
inlineprotected

converts truth histogram bin number to matrix row

Definition at line 234 of file TUnfold.h.

◆ GetSqrtEvEmatrix()

TVectorD TUnfold::GetSqrtEvEmatrix ( void ) const

Definition at line 2509 of file TUnfold.cxx.

◆ GetSURE()

double TUnfold::GetSURE ( void ) const

return Stein's unbiased risk estimator See e.g.

arXiv:1612.09415

A minimum in the SURE variable is a good choice of regularisation strength

NOTE: the calculation of SURE depends on the calculation of DF. See the method GetDF() for caveats with Poisson-distributed data.

Definition at line 3732 of file TUnfold.cxx.

◆ GetTau()

Double_t TUnfold::GetTau ( void ) const

return regularisation parameter

Definition at line 3223 of file TUnfold.cxx.

◆ GetTitle()

const char * TObject::GetTitle ( ) const
virtualinherited

Returns title of object.

This default method returns the class title (i.e. description). Classes that give objects a title should override this method.

Reimplemented in Axis2, TASImage, TAxis, TBaseClass, TClassMenuItem, TEveGeoNode, TEvePointSet, TGaxis, TGGroupFrame, TGLabel, TGLVEntry, TGTextButton, TGTextEntry, TGTextLBEntry, TKey, TMapFile, TNamed, TPad, TPair, TParallelCoordSelect, TParticle, TPaveLabel, TPrimary, TQCommand, TRootIconList, and TVirtualPad.

Definition at line 507 of file TObject.cxx.

◆ GetTUnfoldVersion()

const char * TUnfold::GetTUnfoldVersion ( void )
static

return a string describing the TUnfold version

The version is reported in the form Vmajor.minor Changes of the minor version number typically correspond to bug-fixes. Changes of the major version may result in adding or removing data attributes, such that the streamer methods are not compatible between different major versions.

Definition at line 3717 of file TUnfold.cxx.

◆ GetUniqueID()

UInt_t TObject::GetUniqueID ( ) const
virtualinherited

Return the unique object id.

Definition at line 480 of file TObject.cxx.

◆ GetVxx()

const TMatrixDSparse * TUnfold::GetVxx ( void ) const
inlineprotected

covariance matrix of the result

Definition at line 244 of file TUnfold.h.

◆ GetVxxInv()

const TMatrixDSparse * TUnfold::GetVxxInv ( void ) const
inlineprotected

inverse of covariance matrix of the result

Definition at line 246 of file TUnfold.h.

◆ GetVyyInv()

const TMatrixDSparse * TUnfold::GetVyyInv ( void ) const
inlineprotected

inverse of covariance matrix of the data y

Definition at line 260 of file TUnfold.h.

◆ GetX()

const TMatrixD * TUnfold::GetX ( void ) const
inlineprotected

vector of the unfolding result

Definition at line 242 of file TUnfold.h.

◆ HandleTimer()

Bool_t TObject::HandleTimer ( TTimer * timer)
virtualinherited

Execute action in response of a timer timing out.

This method must be overridden if an object has to react to timers.

Reimplemented in TGCommandPlugin, TGDNDManager, TGFileContainer, TGHtml, TGLEventHandler, TGPopupMenu, TGraphTime, TGScrollBar, TGShutter, TGTextEdit, TGTextEditor, TGTextEntry, TGTextView, TGToolTip, TGuiBldDragManager, TGWindow, and TTreeViewer.

Definition at line 516 of file TObject.cxx.

◆ Hash()

ULong_t TObject::Hash ( ) const
virtualinherited

Return hash value for this object.

Note: If this routine is overloaded in a derived class, this derived class should also add

void CallRecursiveRemoveIfNeeded(TObject &obj)
call RecursiveRemove for obj if gROOT is valid and obj.TestBit(kMustCleanup) is true.
Definition TROOT.h:406

Otherwise, when RecursiveRemove is called (by ~TObject or example) for this type of object, the transversal of THashList and THashTable containers will will have to be done without call Hash (and hence be linear rather than logarithmic complexity). You will also see warnings like

Error in <ROOT::Internal::TCheckHashRecursiveRemoveConsistency::CheckRecursiveRemove>: The class SomeName overrides
TObject::Hash but does not call TROOT::RecursiveRemove in its destructor.
virtual void Error(const char *method, const char *msgfmt,...) const
Issue error message.
Definition TObject.cxx:1098
TObject()
TObject constructor.
Definition TObject.h:259
virtual ULong_t Hash() const
Return hash value for this object.
Definition TObject.cxx:539
void RecursiveRemove(TObject *obj) override
Recursively remove this object from the list of Cleanups.
Definition TROOT.cxx:2651

Reimplemented in RooLinkedList, TASImagePlugin, TASPluginGS, TCollection, TEnvRec, TGObject, TGPicture, TIconBoxThumb, TImagePlugin, TNamed, TObjString, TPad, TPair, TParameter< AParamType >, TParameter< Long64_t >, TPave, and TStatistic.

Definition at line 539 of file TObject.cxx.

◆ HasInconsistentHash()

Bool_t TObject::HasInconsistentHash ( ) const
inlineinherited

Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e.

missing call to RecursiveRemove in destructor).

Note: Since the consistency is only tested for during inserts, this routine will return true for object that have never been inserted whether or not they have a consistent setup. This has no negative side-effect as searching for the object with the right or wrong Hash will always yield a not-found answer (Since anyway no hash can be guaranteed unique, there is always a check)

Definition at line 366 of file TObject.h.

◆ Info()

void TObject::Info ( const char * location,
const char * fmt,
... ) const
virtualinherited

Issue info message.

Use "location" to specify the method where the warning occurred. Accepts standard printf formatting arguments.

Definition at line 1072 of file TObject.cxx.

◆ InheritsFrom() [1/2]

Bool_t TObject::InheritsFrom ( const char * classname) const
virtualinherited

Returns kTRUE if object inherits from class "classname".

Reimplemented in TClass.

Definition at line 549 of file TObject.cxx.

◆ InheritsFrom() [2/2]

Bool_t TObject::InheritsFrom ( const TClass * cl) const
virtualinherited

Returns kTRUE if object inherits from TClass cl.

Reimplemented in TClass.

Definition at line 557 of file TObject.cxx.

◆ InitTUnfold()

void TUnfold::InitTUnfold ( void )
private

initialize data menbers, for use in constructors

Definition at line 144 of file TUnfold.cxx.

◆ Inspect()

void TObject::Inspect ( ) const
virtualinherited

Dump contents of this object in a graphics canvas.

Same action as Dump but in a graphical form. In addition pointers to other objects can be followed.

The following picture is the Inspect of a histogram object:

Reimplemented in ROOT::Experimental::XRooFit::xRooNode, TGFrame, TInspectorObject, and TSystemFile.

Definition at line 570 of file TObject.cxx.

◆ InvertBit()

void TObject::InvertBit ( UInt_t f)
inlineinherited

Definition at line 206 of file TObject.h.

◆ InvertMSparseSymmPos()

TMatrixDSparse * TUnfold::InvertMSparseSymmPos ( const TMatrixDSparse * A,
Int_t * rankPtr ) const
protected

get the inverse or pseudo-inverse of a positive, sparse matrix

Parameters
[in]Athe sparse matrix to be inverted, has to be positive
[in,out]rankPtrif zero, suppress calculation of pseudo-inverse otherwise the rank of the matrix is returned in *rankPtr

return value: 0 or a new sparse matrix

  • if(rankPtr==nullptr) return the inverse if it exists, or return 0
  • else return a (pseudo-)inverse and store the rank of the matrix in *rankPtr

the matrix inversion is optimized in performance for the case where a large submatrix of A is diagonal

Definition at line 992 of file TUnfold.cxx.

◆ IsA()

TClass * TUnfold::IsA ( ) const
inlineoverridevirtual
Returns
TClass describing current object

Reimplemented from TObject.

Reimplemented in TUnfoldDensity, and TUnfoldSys.

Definition at line 357 of file TUnfold.h.

◆ IsDestructed()

Bool_t TObject::IsDestructed ( ) const
inlineinherited

IsDestructed.

Note
This function must be non-virtual as it can be used on destructed (but not yet modified) memory. This is used for example in TClonesArray to record the element that have been destructed but not deleted and thus are ready for re-use (by operator new with placement).
Returns
true if this object's destructor has been run.

Definition at line 186 of file TObject.h.

◆ IsEqual()

Bool_t TObject::IsEqual ( const TObject * obj) const
virtualinherited

Default equal comparison (objects are equal if they have the same address in memory).

More complicated classes might want to override this function.

Reimplemented in TGObject, TObjString, TPair, and TQCommand.

Definition at line 589 of file TObject.cxx.

◆ IsFolder()

◆ IsOnHeap()

Bool_t TObject::IsOnHeap ( ) const
inlineinherited

Definition at line 160 of file TObject.h.

◆ IsSortable()

virtual Bool_t TObject::IsSortable ( ) const
inlinevirtualinherited

◆ IsZombie()

Bool_t TObject::IsZombie ( ) const
inlineinherited

Definition at line 161 of file TObject.h.

◆ ls()

◆ MakeZombie()

void TObject::MakeZombie ( )
inlineprotectedinherited

Definition at line 55 of file TObject.h.

◆ MayNotUse()

void TObject::MayNotUse ( const char * method) const
inherited

Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary).

Definition at line 1160 of file TObject.cxx.

◆ MultiplyMSparseM()

TMatrixDSparse * TUnfold::MultiplyMSparseM ( const TMatrixDSparse * a,
const TMatrixD * b ) const
protected

multiply sparse matrix and a non-sparse matrix

Parameters
[in]asparse matrix
[in]bmatrix

returns a new sparse matrix a*b.
A replacement for: new TMatrixDSparse(a,TMatrixDSparse::kMult,b) the root implementation had problems in older versions of root

Definition at line 760 of file TUnfold.cxx.

◆ MultiplyMSparseMSparse()

TMatrixDSparse * TUnfold::MultiplyMSparseMSparse ( const TMatrixDSparse * a,
const TMatrixDSparse * b ) const
protected

multiply two sparse matrices

Parameters
[in]asparse matrix
[in]bsparse matrix

returns a new sparse matrix a*b.
A replacement for: new TMatrixDSparse(a,TMatrixDSparse::kMult,b) the root implementation had problems in older versions of root

Definition at line 603 of file TUnfold.cxx.

◆ MultiplyMSparseMSparseTranspVector()

TMatrixDSparse * TUnfold::MultiplyMSparseMSparseTranspVector ( const TMatrixDSparse * m1,
const TMatrixDSparse * m2,
const TMatrixTBase< Double_t > * v ) const
protected

calculate a sparse matrix product M1*V*M2T where the diagonal matrix V is given by a vector

Parameters
[in]m1pointer to sparse matrix with dimension I*K
[in]m2pointer to sparse matrix with dimension J*K
[in]vpointer to vector (matrix) with dimension K*1

returns a sparse matrix R with elements rijkM1ikVkM2jk

Definition at line 819 of file TUnfold.cxx.

◆ MultiplyMSparseTranspMSparse()

TMatrixDSparse * TUnfold::MultiplyMSparseTranspMSparse ( const TMatrixDSparse * a,
const TMatrixDSparse * b ) const
protected

multiply a transposed Sparse matrix with another Sparse matrix

Parameters
[in]asparse matrix (to be transposed)
[in]bsparse matrix

returns a new sparse matrix aT*b
this is a replacement for the root constructors new TMatrixDSparse(TMatrixDSparse(TMatrixDSparse::kTransposed,*a),TMatrixDSparse::kMult,*b)

Definition at line 677 of file TUnfold.cxx.

◆ Notify()

Bool_t TObject::Notify ( )
virtualinherited

This method must be overridden to handle object notification (the base implementation is no-op).

Different objects in ROOT use the Notify method for different purposes, in coordination with other objects that call this method at the appropriate time.

For example, TLeaf uses it to load class information; TBranchRef to load contents of referenced branches TBranchRef; most notably, based on Notify, TChain implements a callback mechanism to inform interested parties when it switches to a new sub-tree.

Reimplemented in h1analysis, h1analysisTreeReader, TARInterruptHandler, TASInputHandler, TASInterruptHandler, TASLogHandler, TASSigPipeHandler, TBlinkTimer, TBranchElement, TBranchRef, TBreakLineCom, TBrowserTimer, TCollection, TDelCharCom, TDelTextCom, TFileHandler, TGContainerKeyboardTimer, TGContainerScrollTimer, TGInputHandler, TGLRedrawTimer, TGTextEditHist, TGuiBldDragManagerRepeatTimer, TIdleTimer, TInsCharCom, TInsTextCom, TInterruptHandler, TLeafObject, TMessageHandler, TNotifyLink< Type >, TNotifyLink< RNoCleanupNotifierHelper >, TNotifyLink< ROOT::Detail::TBranchProxy >, TNotifyLink< TTreeReader >, TPopupDelayTimer, TProcessEventTimer, TRefTable, TRepeatTimer, TSBRepeatTimer, TSelector, TSelectorDraw, TSelectorEntries, TSignalHandler, TSingleShotCleaner, TSocketHandler, TStdExceptionHandler, TSysEvtHandler, TTermInputHandler, TThreadTimer, TTimeOutTimer, TTimer, TTipDelayTimer, TTree, TTreeFormula, TTreeFormulaManager, TTreeReader, TViewTimer, and TViewUpdateTimer.

Definition at line 618 of file TObject.cxx.

◆ Obsolete()

void TObject::Obsolete ( const char * method,
const char * asOfVers,
const char * removedFromVers ) const
inherited

Use this method to declare a method obsolete.

Specify as of which version the method is obsolete and as from which version it will be removed.

Definition at line 1169 of file TObject.cxx.

◆ operator delete() [1/3]

void TObject::operator delete ( void * ptr,
size_t size )
inherited

Operator delete for sized deallocation.

Definition at line 1234 of file TObject.cxx.

◆ operator delete() [2/3]

void TObject::operator delete ( void * ptr)
inherited

Operator delete.

Definition at line 1212 of file TObject.cxx.

◆ operator delete() [3/3]

void TObject::operator delete ( void * ptr,
void * vp )
inherited

Only called by placement new when throwing an exception.

Definition at line 1266 of file TObject.cxx.

◆ operator delete[]() [1/3]

void TObject::operator delete[] ( void * ptr,
size_t size )
inherited

Operator delete [] for sized deallocation.

Definition at line 1245 of file TObject.cxx.

◆ operator delete[]() [2/3]

void TObject::operator delete[] ( void * ptr)
inherited

Operator delete [].

Definition at line 1223 of file TObject.cxx.

◆ operator delete[]() [3/3]

void TObject::operator delete[] ( void * ptr,
void * vp )
inherited

Only called by placement new[] when throwing an exception.

Definition at line 1274 of file TObject.cxx.

◆ operator new() [1/2]

void * TObject::operator new ( size_t sz)
inlineinherited

Definition at line 189 of file TObject.h.

◆ operator new() [2/2]

void * TObject::operator new ( size_t sz,
void * vp )
inlineinherited

Definition at line 191 of file TObject.h.

◆ operator new[]() [1/2]

void * TObject::operator new[] ( size_t sz)
inlineinherited

Definition at line 190 of file TObject.h.

◆ operator new[]() [2/2]

void * TObject::operator new[] ( size_t sz,
void * vp )
inlineinherited

Definition at line 192 of file TObject.h.

◆ Paint()

void TObject::Paint ( Option_t * option = "")
virtualinherited

This method must be overridden if a class wants to paint itself.

The difference between Paint() and Draw() is that when a object draws itself it is added to the display list of the pad in which it is drawn (and automatically redrawn whenever the pad is redrawn). While paint just draws the object without adding it to the pad display list.

Reimplemented in ROOT::Experimental::RTreeMapPainter, ROOT::RGeoPainter, TAnnotation, TArrow, TASImage, TASPaletteEditor::LimitLine, TASPaletteEditor::PaintPalette, TAxis3D, TBits, TBox, TButton, TCanvas, TClassTree, TCollection, TColorWheel, TCrown, TDiamond, TDirectory, TEfficiency, TEllipse, TEveArrow, TEveCaloViz, TEveDigitSet, TEveGeoShape, TEveGeoTopNode, TEvePlot3D, TEvePointSet, TEveProjectionAxes, TEveScene, TEveShape, TEveStraightLineSet, TEveText, TEveTriangleSet, TExec, TF1, TF2, TF3, TFile, TFileDrawMap, TFrame, TGaxis, TGenerator, TGeoBoolNode, TGeoIntersection, TGeoNode, TGeoOverlap, TGeoPainter, TGeoPhysicalNode, TGeoShape, TGeoSubtraction, TGeoTrack, TGeoUnion, TGeoVGShape, TGeoVolume, TGL5DDataSet, TGLHistPainter, TGLParametricEquation, TGLTH3Composition, TGraph2D, TGraph2DPainter, TGraph, TGraphEdge, TGraphNode, TGraphPolargram, TGraphTime, TH1, THistPainter, THStack, TLatex, TLegend, TLine, TMacro, TMarker3DBox, TMarker, TMathText, TMultiGraph, TNode, TNodeDiv, TPad, TPaletteAxis, TParallelCoord, TParallelCoordRange, TParallelCoordVar, TParticle, TPave, TPaveLabel, TPaveStats, TPavesText, TPaveText, TPie, TPolyLine3D, TPolyLine, TPolyMarker3D, TPolyMarker, TPrimary, TRatioPlot, TScatter2D, TScatter, TShape, TSpectrum2Painter, TSpider, TSpline, TSQLFile, TStyle, TText, TTreePerfStats, TVirtualGeoPainter, TVirtualGeoTrack, TVirtualHistPainter, TVirtualPad, TWbox, and TXMLFile.

Definition at line 631 of file TObject.cxx.

◆ Pop()

void TObject::Pop ( )
virtualinherited

Pop on object drawn in a pad to the top of the display list.

I.e. it will be drawn last and on top of all other primitives.

Reimplemented in TFrame, TPad, and TVirtualPad.

Definition at line 640 of file TObject.cxx.

◆ Print()

void TObject::Print ( Option_t * option = "") const
virtualinherited

This method must be overridden when a class wants to print itself.

Reimplemented in Roo1DTable, RooAbsArg, RooAbsBinning, RooAbsCollection, RooAbsData, RooAbsDataStore, RooAbsGenContext, RooCatType, RooCmdArg, RooCurve, RooEllipse, RooFitResult, RooGenFitStudy, RooHist, RooLinkedList, RooMsgService, RooNumGenConfig, RooNumIntConfig, RooPlot, RooSharedProperties, RooStats::ModelConfig, ROOT::Experimental::REveTrans, ROOT::Experimental::XRooFit::xRooNLLVar::xRooHypoPoint, ROOT::Experimental::XRooFit::xRooNLLVar::xRooHypoSpace, ROOT::Experimental::XRooFit::xRooNode, ROOT::v5::TFormula, RooWorkspace, TAnnotation, TApplicationRemote, TAttParticle, TBenchmark, TBits, TBox, TBranch, TBranchClones, TBranchElement, TBranchObject, TBranchRef, TBranchSTL, TChain, TClassTable, TCling, TCollection, TColor, TDatabasePDG, TDecompBase, TDecompBK, TDecompChol, TDecompLU, TDecompQRH, TDecompSparse, TDecompSVD, TDirectory, TEllipse, TEnv, TEventList, TEveTrans, TF1, TFile, TFileCacheRead, TFileCacheWrite, TFileCollection, TFileInfo, TFileInfoMeta, TFitResult, TFoamCell, TFoamVect, TFormula, TFunction, TGCompositeFrame, TGDMLMatrix, TGeoBatemanSol, TGeoBorderSurface, TGeoBranchArray, TGeoDecayChannel, TGeoElement, TGeoElementRN, TGeoElementTable, TGeoIsotope, TGeoMatrix, TGeoOpticalSurface, TGeoOverlap, TGeoPhysicalNode, TGeoRegion, TGeoSkinSurface, TGeoTessellated, TGeoTrack, TGeoVolume, TGeoVoxelFinder, TGFont, TGFontPool, TGFrame, TGFrameElement, TGGC, TGGCPool, TGLayoutHints, TGMimeTypes, TGPicture, TGPicturePool, TGraph2D, TGraph2DAsymmErrors, TGraph2DErrors, TGraph, TGraphAsymmErrors, TGraphBentErrors, TGraphErrors, TGraphMultiErrors, TGTextEdit, TGWindow, TH1, THashTable, THbookTree, THelix, THnBase, THStack, TInetAddress, TKey, TLegend, TLegendEntry, TLine, TLorentzVector, TMacro, TMapFile, TMarker, TMatrixTBase< Element >, TMatrixTBase< Double_t >, TMatrixTBase< Float_t >, TMemFile, TMessageHandler, TMultiDimFit, TMultiGraph, TMVA::Event, TMVA::Option< T >, TMVA::Option< T * >, TMVA::OptionBase, TMVA::PDEFoamCell, TMVA::PDEFoamVect, TMVA::TNeuron, TNamed, TObjectTable, TObjString, TPad, TParallelCoordRange, TParallelCoordVar, TParameter< AParamType >, TParameter< Long64_t >, TParticle, TParticleClassPDG, TParticlePDG, TPave, TPaveText, TPluginHandler, TPluginManager, TPolyLine3D, TPolyLine, TPolyMarker3D, TPolyMarker, TPrimary, TPrincipal, TQpDataDens, TQpDataSparse, TQpVar, TQSlot, TQuaternion, TRolke, TRootBrowserHistoryCursor, TScatter2D, TScatter, TSpectrum2, TSpectrum3, TSpectrum, TSQLColumnInfo, TSQLFile, TSQLStructure, TSQLTableInfo, TStatistic, TStopwatch, TStreamerInfoActions::TActionSequence, TText, TTree, TTreeCache, TTreeCacheUnzip, TTreeIndex, TTreePerfStats, TUri, TUrl, TVector2, TVector3, TVectorT< Element >, TVectorT< Double_t >, TVectorT< Float_t >, TVirtualPad, TXMLFile, TXTRU, TZIPFile, and TZIPMember.

Definition at line 661 of file TObject.cxx.

◆ Read()

Int_t TObject::Read ( const char * name)
virtualinherited

Read contents of object with specified name from the current directory.

First the key with the given name is searched in the current directory, next the key buffer is deserialized into the object. The object must have been created before via the default constructor. See TObject::Write().

Reimplemented in TBuffer, TKey, TKeySQL, and TKeyXML.

Definition at line 673 of file TObject.cxx.

◆ RecursiveRemove()

◆ RegularizeBins()

Int_t TUnfold::RegularizeBins ( int start,
int step,
int nbin,
ERegMode regmode )

add regularisation conditions for a group of bins

Parameters
[in]startfirst bin number
[in]stepstep size
[in]nbinnumber of bins
[in]regmoderegularisation mode (one of: kRegModeSize, kRegModeDerivative, kRegModeCurvature)

add regularisation conditions for a group of equidistant bins. There are nbin bins, starting with bin start and with a distance of step between bins.

Return value: number of regularisation conditions which could not be added.
Conditions which are not added typically correspond to bin numbers where the truth can not be unfolded (either response matrix is empty or the data do not constrain).

Definition at line 2143 of file TUnfold.cxx.

◆ RegularizeBins2D()

Int_t TUnfold::RegularizeBins2D ( int start_bin,
int step1,
int nbin1,
int step2,
int nbin2,
ERegMode regmode )

add regularisation conditions for 2d unfolding

Parameters
[in]start_binfirst bin number
[in]step1step size, 1st dimension
[in]nbin1number of bins, 1st dimension
[in]step2step size, 2nd dimension
[in]nbin2number of bins, 2nd dimension
[in]regmoderegularisation mode (one of: kRegModeSize, kRegModeDerivative, kRegModeCurvature)

add regularisation conditions for a grid of bins. The start bin is start_bin. Along the first (second) dimension, there are nbin1 (nbin2) bins and adjacent bins are spaced by step1 (step2) units.

Return value: number of regularisation conditions which could not be added. Conditions which are not added typically correspond to bin numbers where the truth can not be unfolded (either response matrix is empty or the data do not constrain).

Definition at line 2204 of file TUnfold.cxx.

◆ RegularizeCurvature()

Int_t TUnfold::RegularizeCurvature ( int left_bin,
int center_bin,
int right_bin,
Double_t scale_left = 1.0,
Double_t scale_right = 1.0 )

add a regularisation condition on the curvature of three truth bin

Parameters
[in]left_binbin number
[in]center_binbin number
[in]right_binbin number
[in]scale_left(default=1) scale factor
[in]scale_right(default=1) scale factor

this adds one row to L, where the element left_bin takes the value -scale_left, the element right_bin takes the value -scale_right and the element center_bin takes the value scale_left+scale_right

return value: 0 if ok, 1 if the condition has not been added. Conditions which are not added typically correspond to bin numbers where the truth can not be unfolded (either response matrix is empty or the data do not constrain).

The RegularizeXXX() methods can be used to set up a custom matrix of regularisation conditions. In this case, start with an empty matrix L (argument regmode=kRegModeNone in the constructor)

Definition at line 2098 of file TUnfold.cxx.

◆ RegularizeDerivative()

Int_t TUnfold::RegularizeDerivative ( int left_bin,
int right_bin,
Double_t scale = 1.0 )

add a regularisation condition on the difference of two truth bin

Parameters
[in]left_binbin number
[in]right_binbin number
[in]scale(default=1) scale factor

this adds one row to L, where the element left_bin takes the value -scale and the element right_bin takes the value +scale

return value: 0 if ok, 1 if the condition has not been added. Conditions which are not added typically correspond to bin numbers where the truth can not be unfolded (either response matrix is empty or the data do not constrain).

The RegularizeXXX() methods can be used to set up a custom matrix of regularisation conditions. In this case, start with an empty matrix L (argument regmode=kRegModeNone in the constructor)

Definition at line 2059 of file TUnfold.cxx.

◆ RegularizeSize()

Int_t TUnfold::RegularizeSize ( int bin,
Double_t scale = 1.0 )

add a regularisation condition on the magnitude of a truth bin

Parameters
[in]binbin number
[in]scale(default=1) scale factor

this adds one row to L, where the element bin takes the value scale

return value: 0 if ok, 1 if the condition has not been added. Conditions which are not added typically correspond to bin numbers where the truth can not be unfolded (either response matrix is empty or the data do not constrain).

The RegularizeXXX() methods can be used to set up a custom matrix of regularisation conditions. In this case, start with an empty matrix L (argument regmode=kRegModeNone in the constructor)

Definition at line 2025 of file TUnfold.cxx.

◆ ResetBit()

void TObject::ResetBit ( UInt_t f)
inlineinherited

Definition at line 203 of file TObject.h.

◆ SaveAs()

void TObject::SaveAs ( const char * filename = "",
Option_t * option = "" ) const
virtualinherited

Save this object in the file specified by filename.

  • if "filename" contains ".root" the object is saved in filename as root binary file.
  • if "filename" contains ".xml" the object is saved in filename as a xml ascii file.
  • if "filename" contains ".cc" the object is saved in filename as C code independent from ROOT. The code is generated via SavePrimitive(). Specific code should be implemented in each object to handle this option. Like in TF1::SavePrimitive().
  • otherwise the object is written to filename as a CINT/C++ script. The C++ code to rebuild this object is generated via SavePrimitive(). The "option" parameter is passed to SavePrimitive. By default it is an empty string. It can be used to specify the Draw option in the code generated by SavePrimitive.

    The function is available via the object context menu.

Reimplemented in ROOT::Experimental::XRooFit::xRooNode, TClassTree, TFolder, TGeoVolume, TGObject, TGraph, TH1, TPad, TPaveClass, TSpline3, TSpline5, TSpline, TTreePerfStats, and TVirtualPad.

Definition at line 708 of file TObject.cxx.

◆ SavePrimitive()

void TObject::SavePrimitive ( std::ostream & out,
Option_t * option = "" )
virtualinherited

Save a primitive as a C++ statement(s) on output stream "out".

Reimplemented in TAnnotation, TArc, TArrow, TASImage, TAxis3D, TBox, TButton, TCanvas, TChain, TCrown, TCurlyArc, TCurlyLine, TCutG, TDiamond, TEfficiency, TEllipse, TExec, TF12, TF1, TF2, TF3, TFrame, TGaxis, TGButton, TGButtonGroup, TGCanvas, TGCheckButton, TGColorSelect, TGColumnLayout, TGComboBox, TGCompositeFrame, TGContainer, TGDockableFrame, TGDoubleHSlider, TGDoubleVSlider, TGedMarkerSelect, TGedPatternSelect, TGeoArb8, TGeoBBox, TGeoBoolNode, TGeoCombiTrans, TGeoCompositeShape, TGeoCone, TGeoConeSeg, TGeoCtub, TGeoDecayChannel, TGeoElementRN, TGeoEltu, TGeoGtra, TGeoHalfSpace, TGeoHMatrix, TGeoHype, TGeoIdentity, TGeoIntersection, TGeoMaterial, TGeoMedium, TGeoMixture, TGeoPara, TGeoParaboloid, TGeoPatternCylPhi, TGeoPatternCylR, TGeoPatternParaX, TGeoPatternParaY, TGeoPatternParaZ, TGeoPatternSphPhi, TGeoPatternSphR, TGeoPatternSphTheta, TGeoPatternTrapZ, TGeoPatternX, TGeoPatternY, TGeoPatternZ, TGeoPcon, TGeoPgon, TGeoRotation, TGeoScaledShape, TGeoShapeAssembly, TGeoSphere, TGeoSubtraction, TGeoTessellated, TGeoTorus, TGeoTranslation, TGeoTrap, TGeoTrd1, TGeoTrd2, TGeoTube, TGeoTubeSeg, TGeoUnion, TGeoVolume, TGeoXtru, TGFileContainer, TGFont, TGFrame, TGFSComboBox, TGGC, TGGroupFrame, TGHButtonGroup, TGHorizontal3DLine, TGHorizontalFrame, TGHorizontalLayout, TGHProgressBar, TGHScrollBar, TGHSlider, TGHSplitter, TGHtml, TGIcon, TGLabel, TGLayoutHints, TGLineStyleComboBox, TGLineWidthComboBox, TGListBox, TGListDetailsLayout, TGListLayout, TGListTree, TGListView, TGLVContainer, TGMainFrame, TGMatrixLayout, TGMdiFrame, TGMdiMainFrame, TGMdiMenuBar, TGMenuBar, TGMenuTitle, TGNumberEntry, TGNumberEntryField, TGPictureButton, TGPopupMenu, TGProgressBar, TGRadioButton, TGraph2D, TGraph2DAsymmErrors, TGraph2DErrors, TGraph, TGraphAsymmErrors, TGraphBentErrors, TGraphEdge, TGraphErrors, TGraphMultiErrors, TGraphNode, TGraphPolar, TGraphPolargram, TGraphStruct, TGroupButton, TGRowLayout, TGShapedFrame, TGShutter, TGShutterItem, TGSplitFrame, TGStatusBar, TGTab, TGTabLayout, TGTableLayout, TGTableLayoutHints, TGTextButton, TGTextEdit, TGTextEntry, TGTextLBEntry, TGTextView, TGTileLayout, TGToolBar, TGTransientFrame, TGTripleHSlider, TGTripleVSlider, TGVButtonGroup, TGVertical3DLine, TGVerticalFrame, TGVerticalLayout, TGVFileSplitter, TGVProgressBar, TGVScrollBar, TGVSlider, TGVSplitter, TGXYLayout, TGXYLayoutHints, TH1, TH2Poly, THelix, THStack, TLatex, TLegend, TLine, TMacro, TMarker3DBox, TMarker, TMathText, TMultiGraph, TPad, TPaletteAxis, TParallelCoord, TParallelCoordVar, TPave, TPaveClass, TPaveLabel, TPaveStats, TPavesText, TPaveText, TPie, TPieSlice, TPolyLine3D, TPolyLine, TPolyMarker3D, TPolyMarker, TProfile2D, TProfile3D, TProfile, TRootContainer, TRootEmbeddedCanvas, TScatter2D, TScatter, TSlider, TSliderBox, TSpline3, TSpline5, TStyle, TText, TTreePerfStats, and TWbox.

Definition at line 858 of file TObject.cxx.

◆ SavePrimitiveConstructor()

void TObject::SavePrimitiveConstructor ( std::ostream & out,
TClass * cl,
const char * variable_name,
const char * constructor_agrs = "",
Bool_t empty_line = kTRUE )
staticprotectedinherited

Save object constructor in the output stream "out".

Can be used as first statement when implementing SavePrimitive() method for the object

Definition at line 777 of file TObject.cxx.

◆ SavePrimitiveDraw()

void TObject::SavePrimitiveDraw ( std::ostream & out,
const char * variable_name,
Option_t * option = nullptr )
staticprotectedinherited

Save invocation of primitive Draw() method Skipped if option contains "nodraw" string.

Definition at line 845 of file TObject.cxx.

◆ SavePrimitiveVector()

TString TObject::SavePrimitiveVector ( std::ostream & out,
const char * prefix,
Int_t len,
Double_t * arr,
Int_t flag = 0 )
staticprotectedinherited

Save array in the output stream "out" as vector.

Create unique variable name based on prefix value Returns name of vector which can be used in constructor or in other places of C++ code If flag === kTRUE, just add empty line If flag === 111, check if array is empty and return nullptr or <vectorname>.data()

Definition at line 796 of file TObject.cxx.

◆ ScanLcurve()

Int_t TUnfold::ScanLcurve ( Int_t nPoint,
Double_t tauMin,
Double_t tauMax,
TGraph ** lCurve,
TSpline ** logTauX = nullptr,
TSpline ** logTauY = nullptr,
TSpline ** logTauCurvature = nullptr )
virtual

scan the L curve, determine tau and unfold at the final value of tau

Parameters
[in]nPointnumber of points used for the scan
[in]tauMinsmallest tau value to study
[in]tauMaxlargest tau value to study. If tauMin=tauMax=nullptr, a scan interval is determined automatically.
[out]lCurveif nonzero, a new TGraph is returned, containing the L-curve
[out]logTauXif nonzero, a new TSpline is returned, to parameterize the L-curve's x-coordinates as a function of log10(tau)
[out]logTauYif nonzero, a new TSpline is returned, to parameterize the L-curve's y-coordinates as a function of log10(tau)
[out]logTauCurvatureif nonzero, a new TSpline is returned of the L-curve curvature as a function of log10(tau)

return value: the coordinate number in the logTauX,logTauY graphs corresponding to the "final" choice of tau

Recommendation: always check logTauCurvature, it should be a peaked function (similar to a Gaussian), the maximum corresponding to the final choice of tau. Also, check the lCurve it should be approximately L-shaped. If in doubt, adjust tauMin and tauMax until the results are satisfactory.

Definition at line 2558 of file TUnfold.cxx.

◆ ScanSURE()

Int_t TUnfold::ScanSURE ( Int_t nPoint,
Double_t tauMin,
Double_t tauMax,
TGraph ** logTauSURE = nullptr,
TGraph ** df_chi2A = nullptr,
TGraph ** lCurve = nullptr )
virtual

minimize Stein's unbiased risk estimator "SURE" using successive calls to DoUnfold at various tau.

Optionally, also the L-curve and its curvature are calculated for comparison. See description of GetSURE() See e.g. arXiv:1612.09415 for the definition of SURE

Parameters
[in]nPoint: number of points
[in]tauMin: lower end of scan-range
[in]tauMax: upper end of scan-range
[out]logTauSURE: scan result, SURE as a function of log(tau)
[out]df_chi2A: parametric plot of DF against chi2A
[out]lCurve: parametric plot (lCurve)

return value: index of the "best" point

if tauMin is less than zero of if tauMin is not loer than tauMax, then the scan range is determined automatically if tau=nullptr is included in the scan, then the first x-coordinate

Definition at line 3785 of file TUnfold.cxx.

◆ SetBias()

void TUnfold::SetBias ( const TH1 * bias)

set bias vector

Parameters
[in]biashistogram with new bias vector

the initial bias vector is determined from the response matrix but may be changed by using this method

Definition at line 1895 of file TUnfold.cxx.

◆ SetBit() [1/2]

void TObject::SetBit ( UInt_t f)
inlineinherited

Definition at line 202 of file TObject.h.

◆ SetBit() [2/2]

void TObject::SetBit ( UInt_t f,
Bool_t set )
inherited

Set or unset the user status bits as specified in f.

Definition at line 888 of file TObject.cxx.

◆ SetConstraint()

void TUnfold::SetConstraint ( EConstraint constraint)

set type of area constraint

results of a previous unfolding are reset

Definition at line 3211 of file TUnfold.cxx.

◆ SetDrawOption()

void TObject::SetDrawOption ( Option_t * option = "")
virtualinherited

Set drawing option for object.

This option only affects the drawing style and is stored in the option field of the TObjOptLink supporting a TPad's primitive list (TList). Note that it does not make sense to call object.SetDrawOption(option) before having called object.Draw().

Reimplemented in RooPlot, TAxis, TBrowser, TGedFrame, TGFrame, TPad, TPaveStats, TRootBrowserLite, TSystemDirectory, and TSystemFile.

Definition at line 871 of file TObject.cxx.

◆ SetDtorOnly()

void TObject::SetDtorOnly ( void * obj)
staticinherited

Set destructor only flag.

Definition at line 1204 of file TObject.cxx.

◆ SetEpsMatrix()

void TUnfold::SetEpsMatrix ( Double_t eps)

set numerical accuracy for Eigenvalue analysis when inverting matrices with rank problems

Definition at line 3703 of file TUnfold.cxx.

◆ SetInput()

Int_t TUnfold::SetInput ( const TH1 * input,
Double_t scaleBias = 0.0,
Double_t oneOverZeroError = 0.0,
const TH2 * hist_vyy = nullptr,
const TH2 * hist_vyy_inv = nullptr )
virtual

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

Parameters
[in]inputinput distribution with uncertainties
[in]scaleBias(default=nullptr) scale factor applied to the bias
[in]oneOverZeroError(default=nullptr) for bins with zero error, this number defines 1/error.
[in]hist_vyy(default=nullptr) if non-zero, this defines the data covariance matrix
[in]hist_vyy_inv(default=nullptr) 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==nullptr) 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 in TUnfoldSys.

Definition at line 2274 of file TUnfold.cxx.

◆ SetObjectStat()

void TObject::SetObjectStat ( Bool_t stat)
staticinherited

Turn on/off tracking of objects in the TObjectTable.

Definition at line 1188 of file TObject.cxx.

◆ SetUniqueID()

void TObject::SetUniqueID ( UInt_t uid)
virtualinherited

Set the unique object id.

Definition at line 899 of file TObject.cxx.

◆ Streamer()

void TUnfold::Streamer ( TBuffer & R__b)
overridevirtual

Stream an object of class TObject.

Reimplemented from TObject.

Reimplemented in TUnfoldDensity, and TUnfoldSys.

◆ StreamerNVirtual()

void TUnfold::StreamerNVirtual ( TBuffer & ClassDef_StreamerNVirtual_b)
inline

Definition at line 357 of file TUnfold.h.

◆ SysError()

void TObject::SysError ( const char * location,
const char * fmt,
... ) const
virtualinherited

Issue system error message.

Use "location" to specify the method where the system error occurred. Accepts standard printf formatting arguments.

Definition at line 1112 of file TObject.cxx.

◆ TestBit()

Bool_t TObject::TestBit ( UInt_t f) const
inlineinherited

Definition at line 204 of file TObject.h.

◆ TestBits()

Int_t TObject::TestBits ( UInt_t f) const
inlineinherited

Definition at line 205 of file TObject.h.

◆ UseCurrentStyle()

void TObject::UseCurrentStyle ( )
virtualinherited

Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked.

Reimplemented in TAxis3D, TCanvas, TFrame, TGraph, TH1, TPad, TPaveStats, TPaveText, and TTree.

Definition at line 909 of file TObject.cxx.

◆ Warning()

void TObject::Warning ( const char * location,
const char * fmt,
... ) const
virtualinherited

Issue warning message.

Use "location" to specify the method where the warning occurred. Accepts standard printf formatting arguments.

Definition at line 1084 of file TObject.cxx.

◆ Write() [1/2]

Int_t TObject::Write ( const char * name = nullptr,
Int_t option = 0,
Int_t bufsize = 0 )
virtualinherited

Write this object to the current directory.

For more see the const version of this method.

Reimplemented in ROOT::TBufferMergerFile, TBuffer, TCollection, TDirectory, TDirectoryFile, TFile, TMap, TParallelMergingFile, TSQLFile, TTree, and TXMLFile.

Definition at line 989 of file TObject.cxx.

◆ Write() [2/2]

Int_t TObject::Write ( const char * name = nullptr,
Int_t option = 0,
Int_t bufsize = 0 ) const
virtualinherited

Write this object to the current directory.

The data structure corresponding to this object is serialized. The corresponding buffer is written to the current directory with an associated key with name "name".

Writing an object to a file involves the following steps:

  • Creation of a support TKey object in the current directory. The TKey object creates a TBuffer object.
  • The TBuffer object is filled via the class::Streamer function.
  • If the file is compressed (default) a second buffer is created to hold the compressed buffer.
  • Reservation of the corresponding space in the file by looking in the TFree list of free blocks of the file.
  • The buffer is written to the file.

Bufsize can be given to force a given buffer size to write this object. By default, the buffersize will be taken from the average buffer size of all objects written to the current file so far.

If a name is specified, it will be the name of the key. If name is not given, the name of the key will be the name as returned by GetName().

The option can be a combination of: kSingleKey, kOverwrite or kWriteDelete Using the kOverwrite option a previous key with the same name is overwritten. The previous key is deleted before writing the new object. Using the kWriteDelete option a previous key with the same name is deleted only after the new object has been written. This option is safer than kOverwrite but it is slower. NOTE: Neither kOverwrite nor kWriteDelete reduces the size of a TFile– the space is simply freed up to be overwritten; in the case of a TTree, it is more complicated. If one opens a TTree, appends some entries, then writes it out, the behaviour is effectively the same. If, however, one creates a new TTree and writes it out in this way, only the metadata is replaced, effectively making the old data invisible without deleting it. TTree::Delete() can be used to mark all disk space occupied by a TTree as free before overwriting its metadata this way. The kSingleKey option is only used by TCollection::Write() to write a container with a single key instead of each object in the container with its own key.

An object is read from the file into memory via TKey::Read() or via TObject::Read().

The function returns the total number of bytes written to the file. It returns 0 if the object cannot be written.

Reimplemented in TBuffer, TCollection, TDirectory, TDirectoryFile, TFile, TMap, TParallelMergingFile, TSQLFile, TTree, and TXMLFile.

Definition at line 964 of file TObject.cxx.

Member Data Documentation

◆ fA

TMatrixDSparse* TUnfold::fA
protected

response matrix A

Definition at line 154 of file TUnfold.h.

◆ fAx

TMatrixDSparse* TUnfold::fAx
private

result x folded back A*x

Definition at line 191 of file TUnfold.h.

◆ fBiasScale

Double_t TUnfold::fBiasScale
protected

scale factor for the bias

Definition at line 162 of file TUnfold.h.

◆ fBits

UInt_t TObject::fBits
privateinherited

bit field status word

Definition at line 47 of file TObject.h.

◆ fChi2A

Double_t TUnfold::fChi2A
private

chi**2 contribution from (y-Ax)Vyy-1(y-Ax)

Definition at line 193 of file TUnfold.h.

◆ fConstraint

EConstraint TUnfold::fConstraint
protected

type of constraint to use for the unfolding

Definition at line 174 of file TUnfold.h.

◆ fDXDAM

TMatrixDSparse* TUnfold::fDXDAM[2]
private

matrix contribution to the of derivative dx_k/dA_ij

Definition at line 203 of file TUnfold.h.

◆ fDXDAZ

TMatrixDSparse* TUnfold::fDXDAZ[2]
private

vector contribution to the of derivative dx_k/dA_ij

Definition at line 205 of file TUnfold.h.

◆ fDXDtauSquared

TMatrixDSparse* TUnfold::fDXDtauSquared
private

derivative of the result wrt tau squared

Definition at line 207 of file TUnfold.h.

◆ fDXDY

TMatrixDSparse* TUnfold::fDXDY
private

derivative of the result wrt dx/dy

Definition at line 209 of file TUnfold.h.

◆ fE

TMatrixDSparse* TUnfold::fE
private

matrix E

Definition at line 213 of file TUnfold.h.

◆ fEinv

TMatrixDSparse* TUnfold::fEinv
private

matrix E^(-1)

Definition at line 211 of file TUnfold.h.

◆ fEpsMatrix

Double_t TUnfold::fEpsMatrix
private

machine accuracy used to determine matrix rank after eigenvalue analysis

Definition at line 181 of file TUnfold.h.

◆ fgDtorOnly

Longptr_t TObject::fgDtorOnly = 0
staticprivateinherited

object for which to call dtor only (i.e. no delete)

Definition at line 49 of file TObject.h.

◆ fgObjectStat

Bool_t TObject::fgObjectStat = kTRUE
staticprivateinherited

if true keep track of objects in TObjectTable

Definition at line 50 of file TObject.h.

◆ fHistToX

TArrayI TUnfold::fHistToX
protected

mapping of histogram bins to matrix indices

Definition at line 170 of file TUnfold.h.

◆ fIgnoredBins

Int_t TUnfold::fIgnoredBins
private

number of input bins which are dropped because they have error=nullptr

Definition at line 179 of file TUnfold.h.

◆ fL

TMatrixDSparse* TUnfold::fL
protected

regularisation conditions L

Definition at line 156 of file TUnfold.h.

◆ fLXsquared

Double_t TUnfold::fLXsquared
private

chi**2 contribution from (x-s*x0)TLTL(x-s*x0)

Definition at line 195 of file TUnfold.h.

◆ fNdf

Int_t TUnfold::fNdf
private

number of degrees of freedom

Definition at line 201 of file TUnfold.h.

◆ fRegMode

ERegMode TUnfold::fRegMode
protected

type of regularisation

Definition at line 176 of file TUnfold.h.

◆ fRhoAvg

Double_t TUnfold::fRhoAvg
private

average global correlation coefficient

Definition at line 199 of file TUnfold.h.

◆ fRhoMax

Double_t TUnfold::fRhoMax
private

maximum global correlation coefficient

Definition at line 197 of file TUnfold.h.

◆ fSumOverY

TArrayD TUnfold::fSumOverY
protected

truth vector calculated from the non-normalized response matrix

Definition at line 172 of file TUnfold.h.

◆ fTauSquared

Double_t TUnfold::fTauSquared
protected

regularisation parameter tau squared

Definition at line 166 of file TUnfold.h.

◆ fUniqueID

UInt_t TObject::fUniqueID
privateinherited

object unique identifier

Definition at line 46 of file TObject.h.

◆ fVxx

TMatrixDSparse* TUnfold::fVxx
private

covariance matrix Vxx

Definition at line 185 of file TUnfold.h.

◆ fVxxInv

TMatrixDSparse* TUnfold::fVxxInv
private

inverse of covariance matrix Vxx-1

Definition at line 187 of file TUnfold.h.

◆ fVyy

TMatrixDSparse* TUnfold::fVyy
protected

covariance matrix Vyy corresponding to y

Definition at line 160 of file TUnfold.h.

◆ fVyyInv

TMatrixDSparse* TUnfold::fVyyInv
private

inverse of the input covariance matrix Vyy-1

Definition at line 189 of file TUnfold.h.

◆ fX

TMatrixD* TUnfold::fX
private

unfolding result x

Definition at line 183 of file TUnfold.h.

◆ fX0

TMatrixD* TUnfold::fX0
protected

bias vector x0

Definition at line 164 of file TUnfold.h.

◆ fXToHist

TArrayI TUnfold::fXToHist
protected

mapping of matrix indices to histogram bins

Definition at line 168 of file TUnfold.h.

◆ fY

TMatrixD* TUnfold::fY
protected

input (measured) data y

Definition at line 158 of file TUnfold.h.


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