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TSpectrum2Fit Class Reference
Histograms » Advanced spectra processing classes.

Advanced 2-dimensional spectra fitting functions.

Author
Miroslav Morhac

Legacy Code

TSpectrum2Fit is a legacy interface: there will be no bug fixes nor new developments. Therefore it is not recommended to use it in new long-term production code. But, depending on the context, using TSpectrum2Fit might still be a valid solution. For modeling a spectrum fitting and estimating the background one can use RooFit while for deconvolution and unfolding one can use TUnfold.

Class for fitting 2D spectra using AWMI (algorithm without matrix inversion) and conjugate gradient algorithms for symmetrical matrices (Stiefel-Hestens method). AWMI method allows to fit simultaneously 100s up to 1000s peaks. Stiefel method is very stable, it converges faster, but is more time consuming.

The algorithms in this class have been published in the following references:

  1. M. Morhac et al.: Efficient fitting algorithms applied to analysis of coincidence gamma-ray spectra. Computer Physics Communications, Vol 172/1 (2005) pp. 19-41.
  2. M. Morhac et al.: Study of fitting algorithms applied to simultaneous analysis of large number of peaks in gamma-ray spectra. Applied Spectroscopy, Vol. 57, No. 7, pp. 753-760, 2003.

Definition at line 16 of file TSpectrum2Fit.h.

Public Types

enum  {
  kFitOptimChiCounts =0 , kFitOptimChiFuncValues =1 , kFitOptimMaxLikelihood =2 , kFitAlphaHalving =0 ,
  kFitAlphaOptimal =1 , kFitPower2 =2 , kFitPower4 =4 , kFitPower6 =6 ,
  kFitPower8 =8 , kFitPower10 =10 , kFitPower12 =12 , kFitTaylorOrderFirst =0 ,
  kFitTaylorOrderSecond =1 , kFitNumRegulCycles =100
}
enum  { kSingleKey = (1ULL << (0)) , kOverwrite = (1ULL << (1)) , kWriteDelete = (1ULL << (2)) }
enum  {
  kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 ,
  kBitMask = 0x00ffffff
}
enum  EDeprecatedStatusBits { kObjInCanvas = (1ULL << (3)) }
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

 TSpectrum2Fit (Int_t numberPeaks)
 numberPeaks: number of fitted peaks (must be greater than zero) the constructor allocates arrays for all fitted parameters (peak positions, amplitudes etc) and sets the member variables to their default values.
 TSpectrum2Fit (void)
 Default constructor.
 ~TSpectrum2Fit () override
 Destructor.
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.
void Clear (Option_t *option="") override
 Set name and title to empty strings ("").
TObject * Clone (const char *newname="") const override
 Make a clone of an object using the Streamer facility.
Int_t Compare (const TObject *obj) const override
 Compare two TNamed objects.
void Copy (TObject &named) const override
 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 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 TObject * DrawClone (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 void FillBuffer (char *&buffer)
 Encode TNamed into output buffer.
virtual TObject * FindObject (const char *name) const
 Must be redefined in derived classes.
virtual TObject * FindObject (const TObject *obj) const
 Must be redefined in derived classes.
void FitAwmi (Double_t **source)
 This function fits the source spectrum.
void FitStiefel (Double_t **source)
 This function fits the source spectrum.
void GetAmplitudeErrors (Double_t *amplitudeErrors, Double_t *amplitudeErrorsX1, Double_t *amplitudeErrorsY1)
 This function gets the amplitudes of fitted 2D peaks and 1D ridges.
void GetAmplitudes (Double_t *amplitudes, Double_t *amplitudesX1, Double_t *amplitudesY1)
 This function gets the amplitudes of fitted 2D peaks and 1D ridges.
void GetBackgroundParameters (Double_t &a0, Double_t &a0Err, Double_t &ax, Double_t &axErr, Double_t &ay, Double_t &ayErr)
 This function gets the background parameters and their errors.
Double_t GetChi () const
virtual Option_t * GetDrawOption () const
 Get option used by the graphics system to draw this object.
virtual const char * GetIconName () const
 Returns mime type name of object.
const char * GetName () const override
 Returns name of object.
virtual char * GetObjectInfo (Int_t px, Int_t py) const
 Returns string containing info about the object at position (px,py).
virtual Option_t * GetOption () const
void GetPositionErrors (Double_t *positionErrorsX, Double_t *positionErrorsY, Double_t *positionErrorsX1, Double_t *positionErrorsY1)
 This function gets the errors of positions of fitted 2D peaks and 1D ridges.
void GetPositions (Double_t *positionsX, Double_t *positionsY, Double_t *positionsX1, Double_t *positionsY1)
 This function gets the positions of fitted 2D peaks and 1D ridges.
void GetRo (Double_t &ro, Double_t &roErr)
 This function gets the ro parameter and its error.
void GetSigmaX (Double_t &sigmaX, Double_t &sigmaErrX)
 This function gets the sigma x parameter and its error.
void GetSigmaY (Double_t &sigmaY, Double_t &sigmaErrY)
 This function gets the sigma y parameter and its error.
void GetTailParameters (Double_t &txy, Double_t &txyErr, Double_t &tx, Double_t &txErr, Double_t &ty, Double_t &tyErr, Double_t &bx, Double_t &bxErr, Double_t &by, Double_t &byErr, Double_t &sxy, Double_t &sxyErr, Double_t &sx, Double_t &sxErr, Double_t &sy, Double_t &syErr)
 This function gets the tail parameters and their errors.
const char * GetTitle () const override
 Returns title of object.
virtual UInt_t GetUniqueID () const
 Return the unique object id.
void GetVolumeErrors (Double_t *volumeErrors)
 This function gets errors of the volumes of fitted 2D peaks.
void GetVolumes (Double_t *volumes)
 This function gets the volumes of fitted 2D peaks.
virtual Bool_t HandleTimer (TTimer *timer)
 Execute action in response of a timer timing out.
ULong_t Hash () const override
 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)
TClass * IsA () 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
Bool_t IsSortable () const override
Bool_t IsZombie () const
void ls (Option_t *option="") const override
 List TNamed name and title.
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.
void Print (Option_t *option="") const override
 Print TNamed name and title.
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.
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".
void SetBackgroundParameters (Double_t a0Init, Bool_t fixA0, Double_t axInit, Bool_t fixAx, Double_t ayInit, Bool_t fixAy)
 This function sets the following fitting parameters of background:
void SetBit (UInt_t f)
void SetBit (UInt_t f, Bool_t set)
 Set or unset the user status bits as specified in f.
virtual void SetDrawOption (Option_t *option="")
 Set drawing option for object.
void SetFitParameters (Int_t xmin, Int_t xmax, Int_t ymin, Int_t ymax, Int_t numberIterations, Double_t alpha, Int_t statisticType, Int_t alphaOptim, Int_t power, Int_t fitTaylor)
 This function sets the following fitting parameters:
virtual void SetName (const char *name)
 Set the name of the TNamed.
virtual void SetNameTitle (const char *name, const char *title)
 Set all the TNamed parameters (name and title).
void SetPeakParameters (Double_t sigmaX, Bool_t fixSigmaX, Double_t sigmaY, Bool_t fixSigmaY, Double_t ro, Bool_t fixRo, const Double_t *positionInitX, const Bool_t *fixPositionX, const Double_t *positionInitY, const Bool_t *fixPositionY, const Double_t *positionInitX1, const Bool_t *fixPositionX1, const Double_t *positionInitY1, const Bool_t *fixPositionY1, const Double_t *ampInit, const Bool_t *fixAmp, const Double_t *ampInitX1, const Bool_t *fixAmpX1, const Double_t *ampInitY1, const Bool_t *fixAmpY1)
 This function sets the following fitting parameters of peaks:
void SetTailParameters (Double_t tInitXY, Bool_t fixTxy, Double_t tInitX, Bool_t fixTx, Double_t tInitY, Bool_t fixTy, Double_t bInitX, Bool_t fixBx, Double_t bInitY, Bool_t fixBy, Double_t sInitXY, Bool_t fixSxy, Double_t sInitX, Bool_t fixSx, Double_t sInitY, Bool_t fixSy)
 This function sets the following fitting parameters of tails of peaks.
virtual void SetTitle (const char *title="")
 Set the title of the TNamed.
virtual void SetUniqueID (UInt_t uid)
 Set the unique object id.
virtual Int_t Sizeof () const
 Return size of the TNamed part of the TObject.
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 TClass * Class ()
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 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

Double_t Deramp2 (Double_t x, Double_t y, Double_t x0, Double_t y0, Double_t sigmax, Double_t sigmay, Double_t ro, Double_t txy, Double_t sxy, Double_t bx, Double_t by)
 This function calculates derivative of 2D peaks shape function (see manual) according to amplitude of 2D peak.
Double_t Derampx (Double_t x, Double_t x0, Double_t sigmax, Double_t tx, Double_t sx, Double_t bx)
 This function calculates derivative of 2D peaks shape function (see manual) according to amplitude of the ridge.
Double_t Derbx (Int_t numOfFittedPeaks, Double_t x, Double_t y, const Double_t *parameter, Double_t sigmax, Double_t sigmay, Double_t txy, Double_t tx, Double_t bx, Double_t by)
 This function calculates derivative of peaks shape function (see manual) according to slope bx.
Double_t Derby (Int_t numOfFittedPeaks, Double_t x, Double_t y, const Double_t *parameter, Double_t sigmax, Double_t sigmay, Double_t txy, Double_t ty, Double_t bx, Double_t by)
 This function calculates derivative of peaks shape function (see manual) according to slope by.
Double_t Derderi01 (Double_t x, Double_t ax, Double_t x0, Double_t sigmax)
 This function calculates second derivative of 2D peaks shape function (see manual) according to x position of 1D ridge.
Double_t Derderi02 (Double_t x, Double_t y, Double_t a, Double_t x0, Double_t y0, Double_t sigmax, Double_t sigmay, Double_t ro)
 This function calculates second derivative of 2D peaks shape function (see manual) according to x position of 2D peak.
Double_t Derderj02 (Double_t x, Double_t y, Double_t a, Double_t x0, Double_t y0, Double_t sigmax, Double_t sigmay, Double_t ro)
 This function calculates second derivative of 2D peaks shape function (see manual) according to y position of 2D peak.
Double_t Derdersigmax (Int_t numOfFittedPeaks, Double_t x, Double_t y, const Double_t *parameter, Double_t sigmax, Double_t sigmay, Double_t ro)
 This function calculates second derivative of peaks shape function (see manual) according to sigmax of peaks.
Double_t Derdersigmay (Int_t numOfFittedPeaks, Double_t x, Double_t y, const Double_t *parameter, Double_t sigmax, Double_t sigmay, Double_t ro)
 This function calculates second derivative of peaks shape function (see manual) according to sigmay of peaks.
Double_t Derfc (Double_t x)
 This function calculates derivative of error function of x.
Double_t Deri01 (Double_t x, Double_t ax, Double_t x0, Double_t sigmax, Double_t tx, Double_t sx, Double_t bx)
 This function calculates derivative of 2D peaks shape function (see manual) according to x position of 1D ridge.
Double_t Deri02 (Double_t x, Double_t y, Double_t a, Double_t x0, Double_t y0, Double_t sigmax, Double_t sigmay, Double_t ro, Double_t txy, Double_t sxy, Double_t bx, Double_t by)
 This function calculates derivative of 2D peaks shape function (see manual) according to x position of 2D peak.
Double_t Derj02 (Double_t x, Double_t y, Double_t a, Double_t x0, Double_t y0, Double_t sigmax, Double_t sigmay, Double_t ro, Double_t txy, Double_t sxy, Double_t bx, Double_t by)
 This function calculates derivative of 2D peaks shape function (see manual) according to y position of 2D peak Function parameters:
Double_t Derpa2 (Double_t sx, Double_t sy, Double_t ro)
 This function calculates derivative of the volume of a peak according to amplitude.
Double_t Derpro (Double_t a, Double_t sx, Double_t sy, Double_t ro)
 This function calculates derivative of the volume of a peak according to ro.
Double_t Derpsigmax (Double_t a, Double_t sy, Double_t ro)
 This function calculates derivative of the volume of a peak according to sigmax.
Double_t Derpsigmay (Double_t a, Double_t sx, Double_t ro)
 This function calculates derivative of the volume of a peak according to sigmay.
Double_t Derro (Int_t numOfFittedPeaks, Double_t x, Double_t y, const Double_t *parameter, Double_t sx, Double_t sy, Double_t r)
 This function calculates derivative of peaks shape function (see manual) according to correlation coefficient ro.
Double_t Dersigmax (Int_t numOfFittedPeaks, Double_t x, Double_t y, const Double_t *parameter, Double_t sigmax, Double_t sigmay, Double_t ro, Double_t txy, Double_t sxy, Double_t tx, Double_t sx, Double_t bx, Double_t by)
 This function calculates derivative of peaks shape function (see manual) according to sigmax of peaks.
Double_t Dersigmay (Int_t numOfFittedPeaks, Double_t x, Double_t y, const Double_t *parameter, Double_t sigmax, Double_t sigmay, Double_t ro, Double_t txy, Double_t sxy, Double_t ty, Double_t sy, Double_t bx, Double_t by)
 This function calculates derivative of peaks shape function (see manual) according to sigmax of peaks.
Double_t Dersx (Int_t numOfFittedPeaks, Double_t x, const Double_t *parameter, Double_t sigmax)
 This function calculates derivative of peaks shape function (see manual) according to relative amplitude sx.
Double_t Dersxy (Int_t numOfFittedPeaks, Double_t x, Double_t y, const Double_t *parameter, Double_t sigmax, Double_t sigmay)
 This function calculates derivative of peaks shape function (see manual) according to relative amplitude sxy.
Double_t Dersy (Int_t numOfFittedPeaks, Double_t x, const Double_t *parameter, Double_t sigmax)
 This function calculates derivative of peaks shape function (see manual) according to relative amplitude sy.
Double_t Dertx (Int_t numOfFittedPeaks, Double_t x, const Double_t *parameter, Double_t sigmax, Double_t bx)
 This function calculates derivative of peaks shape function (see manual) according to relative amplitude tx.
Double_t Dertxy (Int_t numOfFittedPeaks, Double_t x, Double_t y, const Double_t *parameter, Double_t sigmax, Double_t sigmay, Double_t bx, Double_t by)
 This function calculates derivative of peaks shape function (see manual) according to relative amplitude txy.
Double_t Derty (Int_t numOfFittedPeaks, Double_t x, const Double_t *parameter, Double_t sigmax, Double_t bx)
 This function calculates derivative of peaks shape function (see manual) according to relative amplitude ty.
virtual void DoError (int level, const char *location, const char *fmt, va_list va) const
 Interface to ErrorHandler (protected).
Double_t Erfc (Double_t x)
 This function calculates error function of x.
void MakeZombie ()
Double_t Ourpowl (Double_t a, Int_t pw)
 power function
void SavePrimitiveNameTitle (std::ostream &out, const char *variable_name)
 Save object name and title into the output stream "out".
Double_t Shape2 (Int_t numOfFittedPeaks, Double_t x, Double_t y, const Double_t *parameter, Double_t sigmax, Double_t sigmay, Double_t ro, Double_t a0, Double_t ax, Double_t ay, Double_t txy, Double_t sxy, Double_t tx, Double_t ty, Double_t sx, Double_t sy, Double_t bx, Double_t by)
 This function calculates 2D peaks shape function (see manual).
void StiefelInversion (Double_t **a, Int_t size)
 This function calculates solution of the system of linear equations.
Double_t Volume (Double_t a, Double_t sx, Double_t sy, Double_t ro)
 This function calculates volume of a peak.

Static Protected Member Functions

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

Double_t fA0Calc
 calculated value of background a0 parameter
Double_t fA0Err
 error value of background a0 parameter
Double_t fA0Init
 initial value of background a0 parameter(backgroud is estimated as a0+ax*x+ay*y)
Double_t fAlpha
 convergence coefficient, input parameter, it should be positive number and <=1, for details see references
Int_t fAlphaOptim
 optimization of convergence algorithm, possible values kFitAlphaHalving, kFitAlphaOptimal
Double_t * fAmpCalc
 [fNPeaks] array of calculated values of amplitudes of 2D peaks, output parameters
Double_t * fAmpCalcX1
 [fNPeaks] array of calculated values of amplitudes of 1D ridges in x direction, output parameters
Double_t * fAmpCalcY1
 [fNPeaks] array of calculated values of amplitudes of 1D ridges in y direction, output parameters
Double_t * fAmpErr
 [fNPeaks] array of amplitudes errors of 2D peaks, output parameters
Double_t * fAmpErrX1
 [fNPeaks] array of amplitudes errors of 1D ridges in x direction, output parameters
Double_t * fAmpErrY1
 [fNPeaks] array of amplitudes errors of 1D ridges in y direction, output parameters
Double_t * fAmpInit
 [fNPeaks] array of initial values of amplitudes of 2D peaks, input parameters
Double_t * fAmpInitX1
 [fNPeaks] array of initial values of amplitudes of 1D ridges in x direction, input parameters
Double_t * fAmpInitY1
 [fNPeaks] array of initial values of amplitudes of 1D ridges in y direction, input parameters
Double_t fAxCalc
 calculated value of background ax parameter
Double_t fAxErr
 error value of background ax parameter
Double_t fAxInit
 initial value of background ax parameter(backgroud is estimated as a0+ax*x+ay*y)
Double_t fAyCalc
 calculated value of background ay parameter
Double_t fAyErr
 error value of background ay parameter
Double_t fAyInit
 initial value of background ay parameter(backgroud is estimated as a0+ax*x+ay*y)
Double_t fBxCalc
 calculated value of b parameter for 1D ridges in x direction
Double_t fBxErr
 error value of b parameter for 1D ridges in x direction
Double_t fBxInit
 initial value of b parameter for 1D ridges in x direction (slope), for details see html manual and references
Double_t fByCalc
 calculated value of b parameter for 1D ridges in y direction
Double_t fByErr
 error value of b parameter for 1D ridges in y direction
Double_t fByInit
 initial value of b parameter for 1D ridges in y direction (slope), for details see html manual and references
Double_t fChi
 here the fitting functions return resulting chi square
Int_t fFitTaylor
 order of Taylor expansion, possible values kFitTaylorOrderFirst, kFitTaylorOrderSecond. It applies only for Awmi fitting function.
Bool_t fFixA0
 logical value of a0 parameter, which allows to fix the parameter (not to fit).
Bool_t * fFixAmp
 [fNPeaks] array of logical values which allow to fix appropriate amplitudes of 2D peaks (not fit). However they are present in the estimated functional
Bool_t * fFixAmpX1
 [fNPeaks] array of logical values which allow to fix appropriate amplitudes of 1D ridges in x direction (not fit). However they are present in the estimated functional
Bool_t * fFixAmpY1
 [fNPeaks] array of logical values which allow to fix appropriate amplitudes of 1D ridges in y direction (not fit). However they are present in the estimated functional
Bool_t fFixAx
 logical value of ax parameter, which allows to fix the parameter (not to fit).
Bool_t fFixAy
 logical value of ay parameter, which allows to fix the parameter (not to fit).
Bool_t fFixBx
 logical value of b parameter for 1D ridges in x direction, which allows to fix the parameter (not to fit).
Bool_t fFixBy
 logical value of b parameter for 1D ridges in y direction, which allows to fix the parameter (not to fit).
Bool_t * fFixPositionX
 [fNPeaks] array of logical values which allow to fix appropriate x positions of 2D peaks (not fit). However they are present in the estimated functional
Bool_t * fFixPositionX1
 [fNPeaks] array of logical values which allow to fix appropriate x positions of 1D ridges (not fit). However they are present in the estimated functional
Bool_t * fFixPositionY
 [fNPeaks] array of logical values which allow to fix appropriate y positions of 2D peaks (not fit). However they are present in the estimated functional
Bool_t * fFixPositionY1
 [fNPeaks] array of logical values which allow to fix appropriate y positions of 1D ridges (not fit). However they are present in the estimated functional
Bool_t fFixRo
 logical value of correlation coefficient, which allows to fix the parameter (not to fit).
Bool_t fFixSigmaX
 logical value of sigma x parameter, which allows to fix the parameter (not to fit).
Bool_t fFixSigmaY
 logical value of sigma y parameter, which allows to fix the parameter (not to fit).
Bool_t fFixSx
 logical value of s parameter for 1D ridges in x direction, which allows to fix the parameter (not to fit).
Bool_t fFixSxy
 logical value of s parameter for 2D peaks, which allows to fix the parameter (not to fit).
Bool_t fFixSy
 logical value of s parameter for 1D ridges in y direction, which allows to fix the parameter (not to fit).
Bool_t fFixTx
 logical value of t parameter for 1D ridges in x direction, which allows to fix the parameter (not to fit).
Bool_t fFixTxy
 logical value of t parameter for 2D peaks, which allows to fix the parameter (not to fit).
Bool_t fFixTy
 logical value of t parameter for 1D ridges in y direction, which allows to fix the parameter (not to fit).
TString fName
Int_t fNPeaks
 number of peaks present in fit, input parameter, it should be > 0
Int_t fNumberIterations
 number of iterations in fitting procedure, input parameter, it should be > 0
Double_t * fPositionCalcX
 [fNPeaks] array of calculated values of x positions of 2D peaks, output parameters
Double_t * fPositionCalcX1
 [fNPeaks] array of calculated x positions of 1D ridges, output parameters
Double_t * fPositionCalcY
 [fNPeaks] array of calculated values of y positions of 2D peaks, output parameters
Double_t * fPositionCalcY1
 [fNPeaks] array of calculated y positions of 1D ridges, output parameters
Double_t * fPositionErrX
 [fNPeaks] array of error values of x positions of 2D peaks, output parameters
Double_t * fPositionErrX1
 [fNPeaks] array of x positions errors of 1D ridges, output parameters
Double_t * fPositionErrY
 [fNPeaks] array of error values of y positions of 2D peaks, output parameters
Double_t * fPositionErrY1
 [fNPeaks] array of y positions errors of 1D ridges, output parameters
Double_t * fPositionInitX
 [fNPeaks] array of initial values of x positions of 2D peaks, input parameters
Double_t * fPositionInitX1
 [fNPeaks] array of initial x positions of 1D ridges, input parameters
Double_t * fPositionInitY
 [fNPeaks] array of initial values of y positions of 2D peaks, input parameters
Double_t * fPositionInitY1
 [fNPeaks] array of initial y positions of 1D ridges, input parameters
Int_t fPower
 possible values kFitPower2,4,6,8,10,12, for details see references. It applies only for Awmi fitting function.
Double_t fRoCalc
 calculated value of correlation coefficient
Double_t fRoErr
 error value of correlation coefficient
Double_t fRoInit
 initial value of correlation coefficient
Double_t fSigmaCalcX
 calculated value of sigma x parameter
Double_t fSigmaCalcY
 calculated value of sigma y parameter
Double_t fSigmaErrX
 error value of sigma x parameter
Double_t fSigmaErrY
 error value of sigma y parameter
Double_t fSigmaInitX
 initial value of sigma x parameter
Double_t fSigmaInitY
 initial value of sigma y parameter
Int_t fStatisticType
 type of statistics, possible values kFitOptimChiCounts (chi square statistics with counts as weighting coefficients), kFitOptimChiFuncValues (chi square statistics with function values as weighting coefficients),kFitOptimMaxLikelihood
Double_t fSxCalc
 calculated value of s parameter for 1D ridges in x direction
Double_t fSxErr
 error value of s parameter for 1D ridges in x direction
Double_t fSxInit
 initial value of s parameter for 1D ridges in x direction (relative amplitude of step), for details see html manual and references
Double_t fSxyCalc
 calculated value of s parameter for 2D peaks
Double_t fSxyErr
 error value of s parameter for 2D peaks
Double_t fSxyInit
 initial value of s parameter for 2D peaks (relative amplitude of step), for details see html manual and references
Double_t fSyCalc
 calculated value of s parameter for 1D ridges in y direction
Double_t fSyErr
 error value of s parameter for 1D ridges in y direction
Double_t fSyInit
 initial value of s parameter for 1D ridges in y direction (relative amplitude of step), for details see html manual and references
TString fTitle
Double_t fTxCalc
 calculated value of t parameter for 1D ridges in x direction
Double_t fTxErr
 error value of t parameter for 1D ridges in x direction
Double_t fTxInit
 initial value of t parameter for 1D ridges in x direction (relative amplitude of tail), for details see html manual and references
Double_t fTxyCalc
 calculated value of t parameter for 2D peaks
Double_t fTxyErr
 error value of t parameter for 2D peaks
Double_t fTxyInit
 initial value of t parameter for 2D peaks (relative amplitude of tail), for details see html manual and references
Double_t fTyCalc
 calculated value of t parameter for 1D ridges in y direction
Double_t fTyErr
 error value of t parameter for 1D ridges in y direction
Double_t fTyInit
 initial value of t parameter for 1D ridges in y direction (relative amplitude of tail), for details see html manual and references
Double_t * fVolume
 [fNPeaks] array of calculated volumes of 2D peaks, output parameters
Double_t * fVolumeErr
 [fNPeaks] array of volumes errors of 2D peaks, output parameters
Int_t fXmax
 last fitted channel in x direction
Int_t fXmin
 first fitted channel in x direction
Int_t fYmax
 last fitted channel in y direction
Int_t fYmin
 first fitted channel in y direction

Static Private Member Functions

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

Private Attributes

UInt_t fBits
 bit field status word
UInt_t fUniqueID
 object unique identifier

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 <TSpectrum2Fit.h>

Inheritance diagram for TSpectrum2Fit:
TNamed TObject

Member Enumeration Documentation

◆ anonymous enum

anonymous enum
Enumerator
kFitOptimChiCounts 
kFitOptimChiFuncValues 
kFitOptimMaxLikelihood 
kFitAlphaHalving 
kFitAlphaOptimal 
kFitPower2 
kFitPower4 
kFitPower6 
kFitPower8 
kFitPower10 
kFitPower12 
kFitTaylorOrderFirst 
kFitTaylorOrderSecond 
kFitNumRegulCycles 

Definition at line 117 of file TSpectrum2Fit.h.

◆ 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.

◆ EDeprecatedStatusBits

enum TObject::EDeprecatedStatusBits
inherited
Enumerator
kObjInCanvas 

for backward compatibility only, use kMustCleanup

Definition at line 84 of file TObject.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

◆ TSpectrum2Fit() [1/2]

TSpectrum2Fit::TSpectrum2Fit ( void )

Default constructor.

Definition at line 36 of file TSpectrum2Fit.cxx.

◆ TSpectrum2Fit() [2/2]

TSpectrum2Fit::TSpectrum2Fit ( Int_t numberPeaks)

numberPeaks: number of fitted peaks (must be greater than zero) the constructor allocates arrays for all fitted parameters (peak positions, amplitudes etc) and sets the member variables to their default values.

One can change these variables by member functions (setters) of TSpectrumFit class.

Shape function of the fitted peaks contains the two-dimensional symmetrical Gaussian two one-dimensional symmetrical Gaussian ridges as well as non-symmetrical terms and background.

Definition at line 151 of file TSpectrum2Fit.cxx.

◆ ~TSpectrum2Fit()

TSpectrum2Fit::~TSpectrum2Fit ( )
override

Destructor.

Definition at line 260 of file TSpectrum2Fit.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.

◆ 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()

void TObject::Browse ( TBrowser * b)
virtualinherited

Browse object. May be overridden for another default action.

Reimplemented in RooPlot, ROOT::Experimental::XRooFit::xRooNode, ROOT::Internal::THnBaseBrowsable, TApplicationRemote, TASImage, TAxis3D, TBaseClass, TBranch, TBranchClones, TBranchElement, TBranchObject, TBranchSTL, TBrowserObject, TCanvas, TChain, TClass, TCollection, TCollectionPropertyBrowsable, TDatabasePDG, TDirectory, TDirectoryFile, TEfficiency, TF1, TFolder, TGenerator, TGeoManager, TGeometry, TGeoNode, TGeoOverlap, TGeoTrack, TGeoVolume, TGraph2D, TGraph, TH1, THbookBranch, THbookFile, THbookKey, THnBase, THStack, TKey, TKeyMapFile, TLeaf, TMacro, TMapFile, TMultiDimFit, TMultiGraph, TNode, TNtuple, TNtupleD, TPad, TPair, TParticleClassPDG, TPrincipal, TRecorder, TRemoteObject, TROOT, TRootIconList, TSPlot, TStyle, TSystemDirectory, TSystemFile, TTask, TTree, TTreePerfStats, and TVirtualBranchBrowsable.

Definition at line 218 of file TObject.cxx.

◆ 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 * TSpectrum2Fit::Class ( )
static
Returns
TClass describing this class

◆ Class_Name()

const char * TSpectrum2Fit::Class_Name ( )
static
Returns
Name of this class

◆ Class_Version()

constexpr Version_t TSpectrum2Fit::Class_Version ( )
inlinestaticconstexpr
Returns
Version of this class

Definition at line 190 of file TSpectrum2Fit.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()

void TNamed::Clear ( Option_t * option = "")
overridevirtualinherited

Set name and title to empty strings ("").

Reimplemented from TObject.

Reimplemented in TPrincipal, TProcessID, TStreamerInfo, TTask, TVirtualFitter, and TVirtualStreamerInfo.

Definition at line 63 of file TNamed.cxx.

◆ Clone()

TObject * TNamed::Clone ( const char * newname = "") const
overridevirtualinherited

Make a clone of an object using the Streamer facility.

If newname is specified, this will be the name of the new object.

Reimplemented from TObject.

Reimplemented in TStreamerInfo, and TTreeIndex.

Definition at line 73 of file TNamed.cxx.

◆ Compare()

Int_t TNamed::Compare ( const TObject * obj) const
overridevirtualinherited

Compare two TNamed objects.

Returns 0 when equal, -1 when this is smaller and +1 when bigger (like strcmp).

Reimplemented from TObject.

Reimplemented in TStructNodeProperty.

Definition at line 84 of file TNamed.cxx.

◆ Copy()

void TNamed::Copy ( TObject & named) const
overridevirtualinherited

Copy this to obj.

Reimplemented from TObject.

Reimplemented in TPieSlice, TProfile2D, TProfile3D, TProfile, TStyle, TSystemDirectory, TSystemFile, TText, and TXTRU.

Definition at line 93 of file TNamed.cxx.

◆ DeclFileName()

const char * TSpectrum2Fit::DeclFileName ( )
inlinestatic
Returns
Name of the file containing the class declaration

Definition at line 190 of file TSpectrum2Fit.h.

◆ Delete()

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

Delete this object.

Typically called as a command via the interpreter. Normally use "delete" operator when object has been allocated on the heap.

Reimplemented in RooLinkedList, TAxis, TBtree, TCanvas, TClonesArray, TCollection, TDirectory, TDirectoryFile, TExMap, TFile, TGFrame, TGItemContext, TGTextEdit, THashList, THashTable, TKey, TKeySQL, TKeyXML, TList, TListOfDataMembers, TListOfEnums, TListOfEnumsWithLock, TListOfFunctions, TListOfFunctionTemplates, TMap, TMVA::Results, TObjArray, TObjectTable, TOrdCollection, TProtoClass, TQCommand, TRefArray, TSystemDirectory, TSystemFile, TThread, TTree, TTreeViewer, TViewPubDataMembers, and TViewPubFunctions.

Definition at line 268 of file TObject.cxx.

◆ Deramp2()

Double_t TSpectrum2Fit::Deramp2 ( Double_t x,
Double_t y,
Double_t x0,
Double_t y0,
Double_t sigmax,
Double_t sigmay,
Double_t ro,
Double_t txy,
Double_t sxy,
Double_t bx,
Double_t by )
protected

This function calculates derivative of 2D peaks shape function (see manual) according to amplitude of 2D peak.

Function parameters:

  • x-channel in x-dimension
  • y-channel in y-dimension
  • x0-position of peak in x-dimension
  • y0-position of peak in y-dimension
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • ro-correlation coefficient
  • txy, sxy-relative amplitudes
  • bx, by-slopes

Definition at line 542 of file TSpectrum2Fit.cxx.

◆ Derampx()

Double_t TSpectrum2Fit::Derampx ( Double_t x,
Double_t x0,
Double_t sigmax,
Double_t tx,
Double_t sx,
Double_t bx )
protected

This function calculates derivative of 2D peaks shape function (see manual) according to amplitude of the ridge.

Function parameters:

  • x-channel in x-dimension
  • x0-position of peak in x-dimension
  • y0-position of peak in y-dimension
  • sigmax-sigmax of peaks
  • ro-correlation coefficient
  • tx, sx-relative amplitudes
  • bx-slope

Definition at line 589 of file TSpectrum2Fit.cxx.

◆ Derbx()

Double_t TSpectrum2Fit::Derbx ( Int_t numOfFittedPeaks,
Double_t x,
Double_t y,
const Double_t * parameter,
Double_t sigmax,
Double_t sigmay,
Double_t txy,
Double_t tx,
Double_t bx,
Double_t by )
protected

This function calculates derivative of peaks shape function (see manual) according to slope bx.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x,y-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • txy, tx-relative amplitudes
  • bx, by-slopes

Definition at line 1421 of file TSpectrum2Fit.cxx.

◆ Derby()

Double_t TSpectrum2Fit::Derby ( Int_t numOfFittedPeaks,
Double_t x,
Double_t y,
const Double_t * parameter,
Double_t sigmax,
Double_t sigmay,
Double_t txy,
Double_t ty,
Double_t bx,
Double_t by )
protected

This function calculates derivative of peaks shape function (see manual) according to slope by.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x,y-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • txy, ty-relative amplitudes
  • bx, by-slopes

Definition at line 1477 of file TSpectrum2Fit.cxx.

◆ Derderi01()

Double_t TSpectrum2Fit::Derderi01 ( Double_t x,
Double_t ax,
Double_t x0,
Double_t sigmax )
protected

This function calculates second derivative of 2D peaks shape function (see manual) according to x position of 1D ridge.

Function parameters:

  • x-channel in x-dimension
  • ax-amplitude of ridge
  • x0-position of peak in x-dimension
  • sigmax-sigmax of peaks

Definition at line 866 of file TSpectrum2Fit.cxx.

◆ Derderi02()

Double_t TSpectrum2Fit::Derderi02 ( Double_t x,
Double_t y,
Double_t a,
Double_t x0,
Double_t y0,
Double_t sigmax,
Double_t sigmay,
Double_t ro )
protected

This function calculates second derivative of 2D peaks shape function (see manual) according to x position of 2D peak.

Function parameters:

  • x-channel in x-dimension
  • y-channel in y-dimension
  • a-amplitude
  • x0-position of peak in x-dimension
  • y0-position of peak in y-dimension
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • ro-correlation coefficient

Definition at line 691 of file TSpectrum2Fit.cxx.

◆ Derderj02()

Double_t TSpectrum2Fit::Derderj02 ( Double_t x,
Double_t y,
Double_t a,
Double_t x0,
Double_t y0,
Double_t sigmax,
Double_t sigmay,
Double_t ro )
protected

This function calculates second derivative of 2D peaks shape function (see manual) according to y position of 2D peak.

Function parameters:

  • x-channel in x-dimension
  • y-channel in y-dimension
  • a-amplitude
  • x0-position of peak in x-dimension
  • y0-position of peak in y-dimension
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • ro-correlation coefficient

Definition at line 786 of file TSpectrum2Fit.cxx.

◆ Derdersigmax()

Double_t TSpectrum2Fit::Derdersigmax ( Int_t numOfFittedPeaks,
Double_t x,
Double_t y,
const Double_t * parameter,
Double_t sigmax,
Double_t sigmay,
Double_t ro )
protected

This function calculates second derivative of peaks shape function (see manual) according to sigmax of peaks.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x,y-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • ro-correlation coefficient

Definition at line 986 of file TSpectrum2Fit.cxx.

◆ Derdersigmay()

Double_t TSpectrum2Fit::Derdersigmay ( Int_t numOfFittedPeaks,
Double_t x,
Double_t y,
const Double_t * parameter,
Double_t sigmax,
Double_t sigmay,
Double_t ro )
protected

This function calculates second derivative of peaks shape function (see manual) according to sigmay of peaks.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x,y-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • ro-correlation coefficient

Definition at line 1133 of file TSpectrum2Fit.cxx.

◆ Derfc()

Double_t TSpectrum2Fit::Derfc ( Double_t x)
protected

This function calculates derivative of error function of x.

Definition at line 323 of file TSpectrum2Fit.cxx.

◆ Deri01()

Double_t TSpectrum2Fit::Deri01 ( Double_t x,
Double_t ax,
Double_t x0,
Double_t sigmax,
Double_t tx,
Double_t sx,
Double_t bx )
protected

This function calculates derivative of 2D peaks shape function (see manual) according to x position of 1D ridge.

Function parameters:

  • x-channel in x-dimension
  • ax-amplitude of ridge
  • x0-position of peak in x-dimension
  • sigmax-sigmax of peaks
  • ro-correlation coefficient
  • tx, sx-relative amplitudes
  • bx-slope

Definition at line 822 of file TSpectrum2Fit.cxx.

◆ Deri02()

Double_t TSpectrum2Fit::Deri02 ( Double_t x,
Double_t y,
Double_t a,
Double_t x0,
Double_t y0,
Double_t sigmax,
Double_t sigmay,
Double_t ro,
Double_t txy,
Double_t sxy,
Double_t bx,
Double_t by )
protected

This function calculates derivative of 2D peaks shape function (see manual) according to x position of 2D peak.

Function parameters:

  • x-channel in x-dimension
  • y-channel in y-dimension
  • a-amplitude
  • x0-position of peak in x-dimension
  • y0-position of peak in y-dimension
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • ro-correlation coefficient
  • txy, sxy-relative amplitudes
  • bx, by-slopes

Definition at line 636 of file TSpectrum2Fit.cxx.

◆ Derj02()

Double_t TSpectrum2Fit::Derj02 ( Double_t x,
Double_t y,
Double_t a,
Double_t x0,
Double_t y0,
Double_t sigmax,
Double_t sigmay,
Double_t ro,
Double_t txy,
Double_t sxy,
Double_t bx,
Double_t by )
protected

This function calculates derivative of 2D peaks shape function (see manual) according to y position of 2D peak Function parameters:

  • x-channel in x-dimension
  • y-channel in y-dimension
  • a-amplitude
  • x0-position of peak in x-dimension
  • y0-position of peak in y-dimension
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • ro-correlation coefficient
  • txy, sxy-relative amplitudes
  • bx, by-slopes

Definition at line 729 of file TSpectrum2Fit.cxx.

◆ Derpa2()

Double_t TSpectrum2Fit::Derpa2 ( Double_t sx,
Double_t sy,
Double_t ro )
protected

This function calculates derivative of the volume of a peak according to amplitude.

Function parameters:

  • sx,sy-sigmas of peak
  • ro-correlation coefficient

Definition at line 1550 of file TSpectrum2Fit.cxx.

◆ Derpro()

Double_t TSpectrum2Fit::Derpro ( Double_t a,
Double_t sx,
Double_t sy,
Double_t ro )
protected

This function calculates derivative of the volume of a peak according to ro.

Function parameters:

  • a-amplitude of peak
  • sx,sy-sigmas of peak
  • ro-correlation coefficient

Definition at line 1619 of file TSpectrum2Fit.cxx.

◆ Derpsigmax()

Double_t TSpectrum2Fit::Derpsigmax ( Double_t a,
Double_t sy,
Double_t ro )
protected

This function calculates derivative of the volume of a peak according to sigmax.

Function parameters:

  • a-amplitude of peak
  • sy-sigma of peak
  • ro-correlation coefficient

Definition at line 1573 of file TSpectrum2Fit.cxx.

◆ Derpsigmay()

Double_t TSpectrum2Fit::Derpsigmay ( Double_t a,
Double_t sx,
Double_t ro )
protected

This function calculates derivative of the volume of a peak according to sigmay.

Function parameters:

  • a-amplitude of peak
  • sx-sigma of peak
  • ro-correlation coefficient

Definition at line 1596 of file TSpectrum2Fit.cxx.

◆ Derro()

Double_t TSpectrum2Fit::Derro ( Int_t numOfFittedPeaks,
Double_t x,
Double_t y,
const Double_t * parameter,
Double_t sx,
Double_t sy,
Double_t r )
protected

This function calculates derivative of peaks shape function (see manual) according to correlation coefficient ro.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x,y-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sx-sigmax of peaks
  • sy-sigmay of peaks
  • r-correlation coefficient ro

Definition at line 1191 of file TSpectrum2Fit.cxx.

◆ Dersigmax()

Double_t TSpectrum2Fit::Dersigmax ( Int_t numOfFittedPeaks,
Double_t x,
Double_t y,
const Double_t * parameter,
Double_t sigmax,
Double_t sigmay,
Double_t ro,
Double_t txy,
Double_t sxy,
Double_t tx,
Double_t sx,
Double_t bx,
Double_t by )
protected

This function calculates derivative of peaks shape function (see manual) according to sigmax of peaks.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x,y-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • ro-correlation coefficient
  • txy, sxy, tx, sx-relative amplitudes
  • bx, by-slopes

Definition at line 899 of file TSpectrum2Fit.cxx.

◆ Dersigmay()

Double_t TSpectrum2Fit::Dersigmay ( Int_t numOfFittedPeaks,
Double_t x,
Double_t y,
const Double_t * parameter,
Double_t sigmax,
Double_t sigmay,
Double_t ro,
Double_t txy,
Double_t sxy,
Double_t ty,
Double_t sy,
Double_t bx,
Double_t by )
protected

This function calculates derivative of peaks shape function (see manual) according to sigmax of peaks.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x,y-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • ro-correlation coefficient
  • txy, sxy, ty, sy-relative amplitudes
  • bx, by-slopes

Definition at line 1046 of file TSpectrum2Fit.cxx.

◆ Dersx()

Double_t TSpectrum2Fit::Dersx ( Int_t numOfFittedPeaks,
Double_t x,
const Double_t * parameter,
Double_t sigmax )
protected

This function calculates derivative of peaks shape function (see manual) according to relative amplitude sx.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigma of 1D ridge

Definition at line 1364 of file TSpectrum2Fit.cxx.

◆ Dersxy()

Double_t TSpectrum2Fit::Dersxy ( Int_t numOfFittedPeaks,
Double_t x,
Double_t y,
const Double_t * parameter,
Double_t sigmax,
Double_t sigmay )
protected

This function calculates derivative of peaks shape function (see manual) according to relative amplitude sxy.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x,y-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks

Definition at line 1269 of file TSpectrum2Fit.cxx.

◆ Dersy()

Double_t TSpectrum2Fit::Dersy ( Int_t numOfFittedPeaks,
Double_t x,
const Double_t * parameter,
Double_t sigmax )
protected

This function calculates derivative of peaks shape function (see manual) according to relative amplitude sy.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigma of 1D ridge

Definition at line 1391 of file TSpectrum2Fit.cxx.

◆ Dertx()

Double_t TSpectrum2Fit::Dertx ( Int_t numOfFittedPeaks,
Double_t x,
const Double_t * parameter,
Double_t sigmax,
Double_t bx )
protected

This function calculates derivative of peaks shape function (see manual) according to relative amplitude tx.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigma of 1D ridge
  • bx-slope

Definition at line 1299 of file TSpectrum2Fit.cxx.

◆ Dertxy()

Double_t TSpectrum2Fit::Dertxy ( Int_t numOfFittedPeaks,
Double_t x,
Double_t y,
const Double_t * parameter,
Double_t sigmax,
Double_t sigmay,
Double_t bx,
Double_t by )
protected

This function calculates derivative of peaks shape function (see manual) according to relative amplitude txy.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x,y-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • bx, by-slopes

Definition at line 1233 of file TSpectrum2Fit.cxx.

◆ Derty()

Double_t TSpectrum2Fit::Derty ( Int_t numOfFittedPeaks,
Double_t x,
const Double_t * parameter,
Double_t sigmax,
Double_t bx )
protected

This function calculates derivative of peaks shape function (see manual) according to relative amplitude ty.

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x-position of channel
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigma of 1D ridge
  • bx-slope

Definition at line 1332 of file TSpectrum2Fit.cxx.

◆ DistancetoPrimitive()

Int_t TObject::DistancetoPrimitive ( Int_t px,
Int_t py )
virtualinherited

Computes distance from point (px,py) to the object.

This member function must be implemented for each graphics primitive. This default function returns a big number (999999).

Reimplemented in TASImage, TAxis3D, TAxis, TBox, TBRIK, TColorWheel, TCrown, TCurlyArc, TCurlyLine, TDiamond, TEfficiency, TEllipse, TF1, TF2, TF3, TFileDrawMap, TGenerator, TGeoBBox, TGeoCompositeShape, TGeoCone, TGeoConeSeg, TGeoEltu, TGeoHalfSpace, TGeoHype, TGeoNode, TGeoOverlap, TGeoParaboloid, TGeoPcon, TGeoPgon, TGeoScaledShape, TGeoShape, TGeoShapeAssembly, TGeoSphere, TGeoTessellated, TGeoTorus, TGeoTrack, TGeoTube, TGeoTubeSeg, TGeoVGShape, TGeoVolume, TGeoXtru, TGL5DDataSet, TGLHistPainter, TGLParametricEquation, TGLScenePad, TGLTH3Composition, TGLViewer, TGraph2D, TGraph, TGraphEdge, TGraphNode, TGraphPolargram, TH1, THistPainter, THStack, TLine, TMarker3DBox, TMarker, TMultiGraph, TNode, TPad, TPaletteAxis, TParallelCoord, TParallelCoordRange, TParallelCoordVar, TParticle, TPave, TPCON, TPie, TPieSlice, TPoints3DABC, TPolyLine3D, TPolyLine, TPolyMarker3D, TPolyMarker, TPrimary, TScatter2D, TScatter, TSPHE, TSpider, TSpline, TStyle, TText, TTreePerfStats, TTUBE, TTUBS, TVirtualHistPainter, and TXTRU.

Definition at line 284 of file TObject.cxx.

◆ 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.

◆ Draw()

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

Default Draw method for all objects.

Reimplemented in RooAbsData, RooPlot, RooStats::HypoTestInverterPlot, RooStats::SamplingDistPlot, ROOT::Experimental::XRooFit::xRooNLLVar::xRooHypoPoint, ROOT::Experimental::XRooFit::xRooNLLVar::xRooHypoSpace, ROOT::Experimental::XRooFit::xRooNode, ROOT::RGeoPainter, TArrow, TASImage, TBox, TBrowser, TButton, TCanvas, TChain, TClass, TClassTree, TCollection, TColorWheel, TDiamond, TDirectory, TEfficiency, TEllipse, TEveGeoNode, TEveGeoTopNode, TF1, TF2, TF3, TFile, TFITSHDU, TFrame, TGenerator, TGeoBatemanSol, TGeometry, TGeoNode, TGeoOverlap, TGeoPainter, TGeoParallelWorld, TGeoPhysicalNode, TGeoPolygon, TGeoShape, TGeoTrack, TGeoVGShape, TGeoVolume, TGItemContext, TGListTree, TGPicture, TGraph2D, TGraph, TGraphPolar, TGraphPolargram, TGraphStruct, TGraphTime, TH1, THelix, THStack, TLegend, TMarker, TMatrixTBase< Element >, TMatrixTBase< Double_t >, TMatrixTBase< Float_t >, TMultiDimFit, TMultiGraph, TMultiLayerPerceptron, TNode, TNodeDiv, TPad, TParallelCoord, TParallelCoordRange, TParallelCoordVar, TPave, TPaveLabel, TPavesText, TPaveText, TPie, TPolyLine3D, TPolyLine, TPolyMarker3D, TPolyMarker, TRatioPlot, TSpider, TSpline, TStructViewer, TStructViewerGUI, TTree, TTreePerfStats, TVectorT< Element >, TVectorT< Double_t >, TVectorT< Float_t >, TVirtualPad, and TWbox.

Definition at line 293 of file TObject.cxx.

◆ 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
X
#define X(type, name)
TObject::fUniqueID
UInt_t fUniqueID
object unique identifier
Definition TObject.h:46
TObject::fBits
UInt_t fBits
bit field status word
Definition TObject.h:47
line
TLine * line
Definition entrylistblock_figure1.C:235
style
TCanvas * style()
Definition style.C:1

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

Definition at line 367 of file TObject.cxx.

◆ Erfc()

Double_t TSpectrum2Fit::Erfc ( Double_t x)
protected

This function calculates error function of x.

Definition at line 299 of file TSpectrum2Fit.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.

◆ 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
TObjString
Collectable string class.
Definition TObjString.h:28
n
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()

void TObject::ExecuteEvent ( Int_t event,
Int_t px,
Int_t py )
virtualinherited

Execute action corresponding to an event at (px,py).

This method must be overridden if an object can react to graphics events.

Reimplemented in TASImage, TASPaletteEditor::LimitLine, TAxis3D, TAxis, TBox, TButton, TCanvas, TCrown, TCurlyArc, TCurlyLine, TDiamond, TEfficiency, TEllipse, TF1, TF2, TF3, TFrame, TGenerator, TGeoManager, TGeoNode, TGeoOverlap, TGeoShape, TGeoTrack, TGeoVolume, TGL5DDataSet, TGLEventHandler, TGLHistPainter, TGLParametricEquation, TGLScenePad, TGLTH3Composition, TGLViewer, TGraph2D, TGraph, TGraphEdge, TGraphNode, TGraphPolargram, TGroupButton, TH1, THistPainter, TLine, TLink, TMarker3DBox, TMarker, TNode, TPad, TPaletteAxis, TParallelCoord, TParallelCoordRange, TParallelCoordVar, TParticle, TPave, TPie, TPolyLine3D, TPolyLine, TPolyMarker3D, TPolyMarker, TPrimary, TScatter2D, TScatter, TSliderBox, TSpider, TSpline, TText, TTreePerfStats, TView3D, TView, TVirtualHistPainter, and TWbox.

Definition at line 415 of file TObject.cxx.

◆ 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.

◆ FillBuffer()

void TNamed::FillBuffer ( char *& buffer)
virtualinherited

Encode TNamed into output buffer.

Reimplemented in TDirectoryFile, TFile, TKey, TKeySQL, TKeyXML, TSQLFile, and TXMLFile.

Definition at line 103 of file TNamed.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.

◆ FitAwmi()

void TSpectrum2Fit::FitAwmi ( Double_t ** source)

This function fits the source spectrum.

The calling program should fill in input parameters of the TSpectrum2Fit class. The fitted parameters are written into TSpectrum2Fit class output parameters and fitted data are written into source spectrum.

Function parameters:

  • source-pointer to the matrix of source spectrum

Fitting

Goal: to estimate simultaneously peak shape parameters in spectra with large number of peaks

  • peaks can be fitted separately, each peak (or multiplets) in a region or together all peaks in a spectrum. To fit separately each peak one needs to determine the fitted region. However it can happen that the regions of neighbouring peaks are overlapping. Then the results of fitting are very poor. On the other hand, when fitting together all peaks found in a spectrum, one needs to have a method that is stable (converges) and fast enough to carry out fitting in reasonable time
  • we have implemented the non-symmetrical semiempirical peak shape function
  • it contains the two-dimensional symmetrical Gaussian two one-dimensional symmetrical Gaussian ridges as well as non-symmetrical terms and background.

where Txy, Tx, Ty, Sxy, Sx, Sy are relative amplitudes and Bx, By are slopes.

  • algorithm without matrix inversion (AWMI) allows fitting tens, hundreds of peaks simultaneously that represent sometimes thousands of parameters [2],[5].

References:

[1] Phillps G.W., Marlow K.W., NIM 137 (1976) 525.

[2] I. A. Slavic: Nonlinear least-squares fitting without matrix inversion applied to complex Gaussian spectra analysis. NIM 134 (1976) 285-289.

[3] T. Awaya: A new method for curve fitting to the data with low statistics not using chi-square method. NIM 165 (1979) 317-323.

[4] T. Hauschild, M. Jentschel: Comparison of maximum likelihood estimation and chi-square statistics applied to counting experiments. NIM A 457 (2001) 384-401.

[5] M. Morh, J. Kliman, M. Jandel, Krupa, V. Matouoek: Study of fitting algorithms applied to simultaneous analysis of large number of peaks in -ray spectra. Applied Spectroscopy, Vol. 57, No. 7, pp. 753-760, 2003

Example 1 - script FitAwmi2.c:

Original Fig. 1 two-dimensional spectrum with found peaks (using TSpectrum2 peak searching function). The positions of peaks were used as initial estimates in fitting procedure.
Fig. 2 Fitted (generated from fitted parameters) spectrum of the data from Fig. 1 using Algorithm Without Matrix Inversion. Each peak was represented by 7 parameters, which together with Sigmax, Sigmay and a0 resulted in 38 fitted parameters. The chi-squareafter 1000 iterations was 0.642342.

Script:

Example to illustrate fitting function, algorithm without matrix inversion (AWMI) (class TSpectrumFit2). To execute this example, do

root > .x FitAwmi2.C

void FitAwmi2() {
Int_t i, j, nfound;
Int_t nbinsx = 64;
Int_t nbinsy = 64;
Int_t xmin = 0;
Int_t xmax = nbinsx;
Int_t ymin = 0;
Int_t ymax = nbinsy;
Double_t ** source = new float *[nbinsx];
Double_t ** dest = new float *[nbinsx];
for (i=0;i<nbinsx;i++)
source[i]=new float[nbinsy];
for (i=0;i<nbinsx;i++)
dest[i]=new float[nbinsy];
TH2F *search = new TH2F("search","High resolution peak searching",nbinsx,xmin,xmax,nbinsy,ymin,ymax);
TFile *f = new TFile("TSpectrum2.root");
search=(TH2F*) f->Get("search4;1");
TCanvas *Searching = new TCanvas("Searching","Two-dimensional fitting using Algorithm Without Matrix Inversion",10,10,1000,700);
TSpectrum2 *s = new TSpectrum2();
for (i = 0; i < nbinsx; i++){
for (j = 0; j < nbinsy; j++){
source[i][j] = search->GetBinContent(i + 1,j + 1);
}
}
//searching for candidate peaks positions
nfound = s->SearchHighRes(source, dest, nbinsx, nbinsy, 2, 5, kTRUE, 3, kFALSE, 3);
Bool_t *FixPosX = new Bool_t[nfound];
Bool_t *FixPosY = new Bool_t[nfound];
Bool_t *FixAmp = new Bool_t[nfound];
Double_t *PosX = new Double_t[nfound];
Double_t *PosY = new Double_t[nfound];
Double_t *Amp = new Double_t[nfound];
Double_t *AmpXY = new Double_t[nfound];
PosX = s->GetPositionX();
PosY = s->GetPositionY();
printf("Found %d candidate peaks\n",nfound);
for(i = 0; i< nfound ; i++){
FixPosX[i] = kFALSE;
FixPosY[i] = kFALSE;
FixAmp[i] = kFALSE;
Amp[i] = source[(Int_t)(PosX[i]+0.5)][(Int_t)(PosY[i]+0.5)]; //initial values of peaks amplitudes, input parameters
AmpXY[i] = 0;
}
//filling in the initial estimates of the input parameters
TSpectrumFit2 *pfit=new TSpectrumFit2(nfound);
pfit->SetFitParameters(xmin, xmax-1, ymin, ymax-1, 1000, 0.1, pfit->kFitOptimChiCounts,
pfit->kFitAlphaHalving, pfit->kFitPower2,
pfit->kFitTaylorOrderFirst);
pfit->SetPeakParameters(2, kFALSE, 2, kFALSE, 0, kTRUE, PosX, (Bool_t *)
FixPosX, PosY, (Bool_t *) FixPosY, PosX, (Bool_t *) FixPosX, PosY, (Bool_t *)
FixPosY, Amp, (Bool_t *) FixAmp, AmpXY, (Bool_t *) FixAmp, AmpXY, (Bool_t *)
FixAmp);
pfit->SetBackgroundParameters(0, kFALSE, 0, kTRUE, 0, kTRUE);
pfit->FitAwmi(source);
for (i = 0; i < nbinsx; i++){
for (j = 0; j < nbinsy; j++){
search->SetBinContent(i + 1, j + 1,source[i][j]);
}
}
search->Draw("SURF");
}
f
#define f(i)
Definition RSha256.hxx:104
Int_t
int Int_t
Signed integer 4 bytes (int).
Definition RtypesCore.h:59
Bool_t
bool Bool_t
Boolean (0=false, 1=true) (bool).
Definition RtypesCore.h:77
kFALSE
constexpr Bool_t kFALSE
Definition RtypesCore.h:108
Double_t
double Double_t
Double 8 bytes.
Definition RtypesCore.h:73
kTRUE
constexpr Bool_t kTRUE
Definition RtypesCore.h:107
xmin
float xmin
Definition THbookFile.cxx:95
ymin
float ymin
Definition THbookFile.cxx:95
xmax
float xmax
Definition THbookFile.cxx:95
ymax
float ymax
Definition THbookFile.cxx:95
TCanvas
The Canvas class.
Definition TCanvas.h:23
TFile
A file, usually with extension .root, that stores data and code in the form of serialized objects in ...
Definition TFile.h:130
TH1::Draw
void Draw(Option_t *option="") override
Draw this histogram with options.
Definition TH1.cxx:3097
TH2F
2-D histogram with a float per channel (see TH1 documentation)
Definition TH2.h:345
TH2::SetBinContent
void SetBinContent(Int_t bin, Double_t content) override
Set bin content.
Definition TH2.cxx:2603
TH2::GetBinContent
Double_t GetBinContent(Int_t binx, Int_t biny) const override
Definition TH2.h:97
TSpectrum2
Advanced 2-dimensional spectra processing.
Definition TSpectrum2.h:18
TSpectrum2::GetPositionY
Double_t * GetPositionY() const
Definition TSpectrum2.h:45
TSpectrum2::SearchHighRes
Int_t SearchHighRes(Double_t **source, Double_t **dest, Int_t ssizex, Int_t ssizey, Double_t sigma, Double_t threshold, Bool_t backgroundRemove, Int_t deconIterations, Bool_t markov, Int_t averWindow)
TSpectrum2::GetPositionX
Double_t * GetPositionX() const
Definition TSpectrum2.h:44

Example 2 - script FitAwmi2.c:

Fig. 3 Original two-dimensional gamma-gamma-ray spectrum with found peaks (using TSpectrum2 peak searching function).
Fig. 4 Fitted (generated from fitted parameters) spectrum of the data from Fig. 3 using Algorithm Without Matrix Inversion. 152 peaks were identified. Each peak was represented by 7 parameters, which together with Sigmax, Sigmay and a0 resulted in 1067 fitted parameters. The chi-square after 1000 iterations was 0.728675. One can observe good correspondence with the original data.

Script:

Example to illustrate fitting function, algorithm without matrix inversion (AWMI) (class TSpectrumFit2). To execute this example, do:

root > .x FitA2.C

void FitA2() {
Int_t i, j, nfound;
Int_t nbinsx = 256;
Int_t nbinsy = 256;
Int_t xmin = 0;
Int_t xmax = nbinsx;
Int_t ymin = 0;
Int_t ymax = nbinsy;
Double_t ** source = new float *[nbinsx];
Double_t ** dest = new float *[nbinsx];
for (i=0;i<nbinsx;i++)
source[i]=new
float[nbinsy];
for (i=0;i<nbinsx;i++)
dest[i]=new
float[nbinsy];
TH2F *search = new TH2F("search","High resolution peak
searching",nbinsx,xmin,xmax,nbinsy,ymin,ymax);
TFile *f = new TFile("TSpectrum2.root");
search=(TH2F*) f->Get("fit1;1");
TCanvas *Searching = new TCanvas("Searching","Two-dimensional fitting using Algorithm Without Matrix Inversion",10,10,1000,700);
TSpectrum2 *s = new TSpectrum2(1000,1);
for (i = 0; i < nbinsx; i++){
for (j = 0; j < nbinsy; j++){
source[i][j] = search->GetBinContent(i + 1,j + 1);
}
}
nfound = s->SearchHighRes(source, dest, nbinsx, nbinsy, 2, 2, kTRUE, 100, kFALSE, 3);
printf("Found %d candidate peaks\n",nfound);
Bool_t *FixPosX = new Bool_t[nfound];
Bool_t *FixPosY = new Bool_t[nfound];
Bool_t *FixAmp = new Bool_t[nfound];
Double_t *PosX = new Double_t[nfound];
Double_t *PosY = new Double_t[nfound];
Double_t *Amp = new Double_t[nfound];
Double_t *AmpXY = new Double_t[nfound];
PosX = s->GetPositionX();
PosY = s->GetPositionY();
for(i = 0; i< nfound ; i++){
FixPosX[i] = kFALSE;
FixPosY[i] = kFALSE;
FixAmp[i] = kFALSE;
Amp[i] = source[(Int_t)(PosX[i]+0.5)][(Int_t)(PosY[i]+0.5)]; //initial values of peaks amplitudes, input parameters
AmpXY[i] = 0;
}
//filling in the initial estimates of the input parameters
TSpectrumFit2 *pfit=new TSpectrumFit2(nfound);
pfit->SetFitParameters(xmin, xmax-1, ymin, ymax-1, 1000, 0.1,
pfit->kFitOptimChiCounts, pfit->kFitAlphaHalving, pfit->kFitPower2,
pfit->kFitTaylorOrderFirst);
pfit->SetPeakParameters(2, kFALSE, 2, kFALSE, 0, kTRUE, PosX, (Bool_t *)
FixPosX, PosY, (Bool_t *) FixPosY, PosX, (Bool_t *) FixPosX, PosY, (Bool_t *)
FixPosY, Amp, (Bool_t *) FixAmp, AmpXY, (Bool_t *) FixAmp, AmpXY, (Bool_t *)
FixAmp);
pfit->SetBackgroundParameters(0, kFALSE, 0, kTRUE, 0, kTRUE);
pfit->FitAwmi(source);
for (i = 0; i < nbinsx; i++){
for (j = 0; j < nbinsy; j++){
search->SetBinContent(i + 1, j + 1,source[i][j]);
}
}
search->Draw("SURF");
}

Definition at line 1848 of file TSpectrum2Fit.cxx.

◆ FitStiefel()

void TSpectrum2Fit::FitStiefel ( Double_t ** source)

This function fits the source spectrum.

The calling program should fill in input parameters of the TSpectrum2Fit class. The fitted parameters are written into TSpectrum2Fit class output parameters and fitted data are written into source spectrum.

Function parameters:

  • source-pointer to the matrix of source spectrum

Stiefel fitting algorithm

This function fits the source spectrum using Stiefel-Hestens method [1]. The calling program should fill in input fitting parameters of the TSpectrumFit2 class using a set of TSpectrumFit2 setters. The fitted parameters are written into the class and the fitted data are written into source spectrum. It converges faster than Awmi method.

Reference:

[1] B. Mihaila: Analysis of complex gamma spectra, Rom. Jorn. Phys., Vol. 39, No. 2, (1994), 139-148.

Example 1 - script FitS.c:

Fig. 1 Original two-dimensional spectrum with found peaks (using TSpectrum2 peak searching function). The positions of peaks were used as initial estimates in fitting procedure.
Fig. 2 Fitted (generated from fitted parameters) spectrum of the data from Fig. 1 using Stiefel-Hestens method. Each peak was represented by 7 parameters, which together with Sigmax, Sigmay and a0 resulted in 38 fitted parameters. The chi-square after 1000 iterations was 0.642157.

Script:

Example to illustrate fitting function, algorithm without matrix inversion (AWMI) (class TSpectrumFit2). To execute this example, do

root > .x FitStiefel2.C

void FitStiefel2() {
Int_t i, j, nfound;
Int_t nbinsx = 64;
Int_t nbinsy = 64;
Int_t xmin = 0;
Int_t xmax = nbinsx;
Int_t ymin = 0;
Int_t ymax = nbinsy;
Double_t ** source = new float *[nbinsx];
Double_t ** dest = new float *[nbinsx];
for (i=0;i<nbinsx;i++)
source[i]=new float[nbinsy];
for (i=0;i<nbinsx;i++)
dest[i]= new float[nbinsy];
TH2F *search = new TH2F("search","High resolution peak searching",nbinsx,xmin,xmax,nbinsy,ymin,ymax);
TFile *f = new TFile("TSpectrum2.root");
search=(TH2F*)f->Get("search4;1");
TCanvas *Searching = new TCanvas("Searching","Two-dimensional fitting using Stiefel-Hestens method",10,10,1000,700);
TSpectrum2 *s = new TSpectrum2();
for (i = 0; i < nbinsx; i++){
for (j = 0; j < nbinsy; j++){
source[i][j] = search->GetBinContent(i + 1,j + 1);
}
}
nfound = s->SearchHighRes(source, dest, nbinsx, nbinsy, 2, 5, kTRUE, 3, kFALSE, 3);
printf("Found %d candidate peaks\n",nfound);
Bool_t *FixPosX = new Bool_t[nfound];
Bool_t *FixPosY = new Bool_t[nfound];
Bool_t *FixAmp = new Bool_t[nfound];
Double_t *PosX = new Double_t[nfound];
Double_t *PosY = new Double_t[nfound];
Double_t *Amp = new Double_t[nfound];
Double_t *AmpXY = new Double_t[nfound];
PosX = s->GetPositionX();
PosY = s->GetPositionY();
for(i = 0; i< nfound ; i++){
FixPosX[i] = kFALSE;
FixPosY[i] = kFALSE;
FixAmp[i] = kFALSE;
Amp[i] = source[(Int_t)(PosX[i]+0.5)][(Int_t)(PosY[i]+0.5)]; //initial values of peaks amplitudes, input parameters
AmpXY[i] = 0;
}
//filling in the initial estimates of the input parameters
TSpectrumFit2 *pfit=new
TSpectrumFit2(nfound);
pfit->SetFitParameters(xmin, xmax-1, ymin, ymax-1, 1000, 0.1,
pfit->kFitOptimChiCounts, pfit->kFitAlphaHalving, pfit->kFitPower2,
pfit->kFitTaylorOrderFirst);
pfit->SetPeakParameters(2, kFALSE, 2, kFALSE, 0, kTRUE, PosX, (Bool_t *)
FixPosX, PosY, (Bool_t *) FixPosY, PosX, (Bool_t *) FixPosX, PosY, (Bool_t *)
FixPosY, Amp, (Bool_t *) FixAmp, AmpXY, (Bool_t *) FixAmp, AmpXY, (Bool_t *)
FixAmp);
pfit->SetBackgroundParameters(0, kFALSE, 0, kTRUE, 0, kTRUE);
pfit->FitStiefel(source);
for (i = 0; i < nbinsx; i++){
for (j = 0; j < nbinsy; j++){
search->SetBinContent(i + 1, j + 1,source[i][j]);
}
}
search->Draw("SURF");
}

Definition at line 3943 of file TSpectrum2Fit.cxx.

◆ GetAmplitudeErrors()

void TSpectrum2Fit::GetAmplitudeErrors ( Double_t * amplitudeErrors,
Double_t * amplitudeErrorsX1,
Double_t * amplitudeErrorsY1 )

This function gets the amplitudes of fitted 2D peaks and 1D ridges.

  • amplitudeErrors - gets vector of amplitudes errors of 2D peaks
  • amplitudeErrorsX1 - gets vector of amplitudes errors of 1D ridges in x direction
  • amplitudesErrorY1 - gets vector of amplitudes errors of 1D ridges in y direction

Definition at line 5755 of file TSpectrum2Fit.cxx.

◆ GetAmplitudes()

void TSpectrum2Fit::GetAmplitudes ( Double_t * amplitudes,
Double_t * amplitudesX1,
Double_t * amplitudesY1 )

This function gets the amplitudes of fitted 2D peaks and 1D ridges.

  • amplitudes - gets vector of amplitudes of 2D peaks
  • amplitudesX1 - gets vector of amplitudes of 1D ridges in x direction
  • amplitudesY1 - gets vector of amplitudes of 1D ridges in y direction

Definition at line 5740 of file TSpectrum2Fit.cxx.

◆ GetBackgroundParameters()

void TSpectrum2Fit::GetBackgroundParameters ( Double_t & a0,
Double_t & a0Err,
Double_t & ax,
Double_t & axErr,
Double_t & ay,
Double_t & ayErr )

This function gets the background parameters and their errors.

  • a0 - gets the fitted value of a0 parameter
  • a0Err - gets error value of a0 parameter
  • ax - gets the fitted value of ax parameter
  • axErr - gets error value of ax parameter
  • ay - gets the fitted value of ay parameter
  • ayErr - gets error value of ay parameter

Definition at line 5828 of file TSpectrum2Fit.cxx.

◆ GetChi()

Double_t TSpectrum2Fit::GetChi ( ) const
inline

Definition at line 176 of file TSpectrum2Fit.h.

◆ 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.

◆ 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.

◆ GetName()

const char * TNamed::GetName ( ) const
inlineoverridevirtualinherited

Returns name of object.

This default method returns the class name. Classes that give objects a name should override this method.

Reimplemented from TObject.

Definition at line 49 of file TNamed.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

Reimplemented in TArrow, TAxis3D, TFile, TGaxis, TGeoVolume, TH1, THelix, TLegendEntry, TMapFile, TNode, TPave, TPoints3DABC, TPolyLine3D, TPolyLine, TPolyMarker3D, TPolyMarker, TPSocket, TSelector, TSocket, and TUDPSocket.

Definition at line 147 of file TObject.h.

◆ GetPositionErrors()

void TSpectrum2Fit::GetPositionErrors ( Double_t * positionErrorsX,
Double_t * positionErrorsY,
Double_t * positionErrorsX1,
Double_t * positionErrorsY1 )

This function gets the errors of positions of fitted 2D peaks and 1D ridges.

  • positionErrorsX - gets vector of errors of x positions of 2D peaks
  • positionErrorsY - gets vector of errors of y positions of 2D peaks
  • positionErrorsX1 - gets vector of errors of x positions of 1D ridges
  • positionErrorsY1 - gets vector of errors of y positions of 1D ridges

Definition at line 5724 of file TSpectrum2Fit.cxx.

◆ GetPositions()

void TSpectrum2Fit::GetPositions ( Double_t * positionsX,
Double_t * positionsY,
Double_t * positionsX1,
Double_t * positionsY1 )

This function gets the positions of fitted 2D peaks and 1D ridges.

  • positionX - gets vector of x positions of 2D peaks
  • positionY - gets vector of y positions of 2D peaks
  • positionX1 - gets vector of x positions of 1D ridges
  • positionY1 - gets vector of y positions of 1D ridges

Definition at line 5707 of file TSpectrum2Fit.cxx.

◆ GetRo()

void TSpectrum2Fit::GetRo ( Double_t & ro,
Double_t & roErr )

This function gets the ro parameter and its error.

  • ro - gets the fitted value of ro parameter
  • roErr - gets error value of ro parameter

Definition at line 5813 of file TSpectrum2Fit.cxx.

◆ GetSigmaX()

void TSpectrum2Fit::GetSigmaX ( Double_t & sigmaX,
Double_t & sigmaErrX )

This function gets the sigma x parameter and its error.

  • sigmaX - gets the fitted value of sigma x parameter
  • sigmaErrX - gets error value of sigma x parameter

Definition at line 5791 of file TSpectrum2Fit.cxx.

◆ GetSigmaY()

void TSpectrum2Fit::GetSigmaY ( Double_t & sigmaY,
Double_t & sigmaErrY )

This function gets the sigma y parameter and its error.

  • sigmaY - gets the fitted value of sigma y parameter
  • sigmaErrY - gets error value of sigma y parameter

Definition at line 5802 of file TSpectrum2Fit.cxx.

◆ GetTailParameters()

void TSpectrum2Fit::GetTailParameters ( Double_t & txy,
Double_t & txyErr,
Double_t & tx,
Double_t & txErr,
Double_t & ty,
Double_t & tyErr,
Double_t & bx,
Double_t & bxErr,
Double_t & by,
Double_t & byErr,
Double_t & sxy,
Double_t & sxyErr,
Double_t & sx,
Double_t & sxErr,
Double_t & sy,
Double_t & syErr )

This function gets the tail parameters and their errors.

  • txy - gets the fitted value of txy parameter
  • txyErr - gets error value of txy parameter
  • tx - gets the fitted value of tx parameter
  • txErr - gets error value of tx parameter
  • ty - gets the fitted value of ty parameter
  • tyErr - gets error value of ty parameter
  • bx - gets the fitted value of bx parameter
  • bxErr - gets error value of bx parameter
  • by - gets the fitted value of by parameter
  • byErr - gets error value of by parameter
  • sxy - gets the fitted value of sxy parameter
  • sxyErr - gets error value of sxy parameter
  • sx - gets the fitted value of sx parameter
  • sxErr - gets error value of sx parameter
  • sy - gets the fitted value of sy parameter
  • syErr - gets error value of sy parameter

Definition at line 5857 of file TSpectrum2Fit.cxx.

◆ GetTitle()

const char * TNamed::GetTitle ( ) const
inlineoverridevirtualinherited

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 from TObject.

Definition at line 50 of file TNamed.h.

◆ GetUniqueID()

UInt_t TObject::GetUniqueID ( ) const
virtualinherited

Return the unique object id.

Definition at line 480 of file TObject.cxx.

◆ GetVolumeErrors()

void TSpectrum2Fit::GetVolumeErrors ( Double_t * volumeErrors)

This function gets errors of the volumes of fitted 2D peaks.

  • volumeErrors - gets vector of volumes errors of 2D peaks

Definition at line 5779 of file TSpectrum2Fit.cxx.

◆ GetVolumes()

void TSpectrum2Fit::GetVolumes ( Double_t * volumes)

This function gets the volumes of fitted 2D peaks.

  • volumes - gets vector of volumes of 2D peaks

Definition at line 5768 of file TSpectrum2Fit.cxx.

◆ 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 TNamed::Hash ( ) const
inlineoverridevirtualinherited

Return hash value for this object.

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

ROOT::CallRecursiveRemoveIfNeeded(*this)
ROOT::CallRecursiveRemoveIfNeeded
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.
TNamed::Hash
ULong_t Hash() const override
Return hash value for this object.
Definition TNamed.h:51
TObject::Error
virtual void Error(const char *method, const char *msgfmt,...) const
Issue error message.
Definition TObject.cxx:1098
TObject::TObject
TObject()
TObject constructor.
Definition TObject.h:259
TROOT::RecursiveRemove
void RecursiveRemove(TObject *obj) override
Recursively remove this object from the list of Cleanups.
Definition TROOT.cxx:2651

Reimplemented from TObject.

Definition at line 51 of file TNamed.h.

◆ 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.

◆ 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.

◆ IsA()

TClass * TSpectrum2Fit::IsA ( ) const
inlineoverridevirtual
Returns
TClass describing current object

Reimplemented from TNamed.

Definition at line 190 of file TSpectrum2Fit.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()

Bool_t TObject::IsFolder ( ) const
virtualinherited

Returns kTRUE in case object contains browsable objects (like containers or lists of other objects).

Reimplemented in ROOT::Experimental::XRooFit::xRooNode, ROOT::Internal::THnBaseBrowsable, TApplicationRemote, TAxis3D, TBaseClass, TBranch, TBranchClones, TBranchElement, TBranchObject, TBranchSTL, TBrowserObject, TCanvas, TClass, TCollection, TDatabasePDG, TDirectory, TFolder, TGeoManager, TGeometry, TGeoNode, TGeoNodeMatrix, TGeoOverlap, TGeoTrack, TGeoVolume, THbookFile, THbookKey, THnBase, TKey, TMapFile, TMultiDimFit, TNode, TPad, TPair, TParticleClassPDG, TPrincipal, TRemoteObject, TROOT, TRootIconList, TSPlot, TSystemDirectory, TTask, TTree, and TVirtualBranchBrowsable.

Definition at line 579 of file TObject.cxx.

◆ IsOnHeap()

Bool_t TObject::IsOnHeap ( ) const
inlineinherited

Definition at line 160 of file TObject.h.

◆ IsSortable()

Bool_t TNamed::IsSortable ( ) const
inlineoverridevirtualinherited

Reimplemented from TObject.

Reimplemented in TStructNodeProperty.

Definition at line 52 of file TNamed.h.

◆ IsZombie()

Bool_t TObject::IsZombie ( ) const
inlineinherited

Definition at line 161 of file TObject.h.

◆ ls()

void TNamed::ls ( Option_t * option = "") const
overridevirtualinherited

List TNamed name and title.

Reimplemented from TObject.

Reimplemented in ROOT::Experimental::XRooFit::xRooBrowser, TNode, TROOT, TStreamerBase, TStreamerElement, TStreamerInfo, TStreamerSTL, TTask, TText, and TVirtualStreamerInfo.

Definition at line 112 of file TNamed.cxx.

◆ 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.

◆ 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.

◆ Ourpowl()

Double_t TSpectrum2Fit::Ourpowl ( Double_t a,
Int_t pw )
protected

power function

Definition at line 346 of file TSpectrum2Fit.cxx.

◆ 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 TNamed::Print ( Option_t * option = "") const
overridevirtualinherited

Print TNamed name and title.

Reimplemented from TObject.

Reimplemented in ROOT::Experimental::XRooFit::xRooNLLVar::xRooHypoPoint, ROOT::Experimental::XRooFit::xRooNLLVar::xRooHypoSpace, ROOT::Experimental::XRooFit::xRooNode, TParallelCoordRange, TParallelCoordVar, TParticleClassPDG, TParticlePDG, TPrincipal, TScatter2D, TScatter, TSpectrum2, TSpectrum3, TSpectrum, TSQLColumnInfo, TSQLFile, TSQLTableInfo, TText, TTree, TTreeIndex, TXMLFile, and TXTRU.

Definition at line 127 of file TNamed.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()

void TObject::RecursiveRemove ( TObject * obj)
virtualinherited

Recursively remove this object from a list.

Typically implemented by classes that can contain multiple references to a same object.

Reimplemented in RooAbsCollection, RooAbsData, RooLinkedList, RooMCStudy, ROOT::Internal::TCheckHashRecursiveRemoveConsistency, ROOT::RBrowserDataCleanup, RooWorkspace, TBrowser, TChain, TCling, TCollection, TDialogCanvas, TDirectory, TEfficiency, TFileMerger, TFitEditor, TFolder, TFriendElement, TGedEditor, TGeometry, TGFileBrowser, TGraph2D, TGraph, TH1, TH1Editor, TH2Editor, THashList, THistPainter, THStack, TInspectCanvas, TLegend, TList, TListOfDataMembers, TListOfEnums, TListOfEnumsWithLock, TListOfFunctions, TListOfFunctionTemplates, TMultiGraph, TNode, TObjArray, TObjectRefSpy, TObjectSpy, TPad, TProcessID, TROOT, TRootBrowser, TRootBrowserHistory, TRootBrowserLite, TRootContextMenu, TTree, TTreePlayer, TViewPubDataMembers, TViewPubFunctions, and TVirtualPad.

Definition at line 684 of file TObject.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.

◆ SavePrimitiveNameTitle()

void TNamed::SavePrimitiveNameTitle ( std::ostream & out,
const char * variable_name )
protectedinherited

Save object name and title into the output stream "out".

Definition at line 135 of file TNamed.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.

◆ SetBackgroundParameters()

void TSpectrum2Fit::SetBackgroundParameters ( Double_t a0Init,
Bool_t fixA0,
Double_t axInit,
Bool_t fixAx,
Double_t ayInit,
Bool_t fixAy )

This function sets the following fitting parameters of background:

  • a0Init - initial value of a0 parameter (background is estimated as a0+ax*x+ay*y)
  • fixA0 - logical value of a0 parameter, which allows to fix the parameter (not to fit)
  • axInit - initial value of ax parameter
  • fixAx - logical value of ax parameter, which allows to fix the parameter (not to fit)
  • ayInit - initial value of ay parameter
  • fixAy - logical value of ay parameter, which allows to fix the parameter (not to fit)

Definition at line 5651 of file TSpectrum2Fit.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.

◆ 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.

◆ SetFitParameters()

void TSpectrum2Fit::SetFitParameters ( Int_t xmin,
Int_t xmax,
Int_t ymin,
Int_t ymax,
Int_t numberIterations,
Double_t alpha,
Int_t statisticType,
Int_t alphaOptim,
Int_t power,
Int_t fitTaylor )

This function sets the following fitting parameters:

  • xmin, xmax, ymin, ymax - fitting region
  • numberIterations - # of desired iterations in the fit
  • alpha - convergence coefficient, it should be positive number and <=1, for details see references
  • statisticType - type of statistics, possible values kFitOptimChiCounts (chi square statistics with counts as weighting coefficients), kFitOptimChiFuncValues (chi square statistics with function values as weighting coefficients),kFitOptimMaxLikelihood
  • alphaOptim - optimization of convergence algorithm, possible values kFitAlphaHalving, kFitAlphaOptimal
  • power - possible values kFitPower2,4,6,8,10,12, for details see references. It applies only for Awmi fitting function.
  • fitTaylor - order of Taylor expansion, possible values kFitTaylorOrderFirst, kFitTaylorOrderSecond. It applies only for Awmi fitting function.

Definition at line 5524 of file TSpectrum2Fit.cxx.

◆ SetName()

void TNamed::SetName ( const char * name)
virtualinherited

Set the name of the TNamed.

WARNING: if the object is a member of a THashTable or THashList container the container must be Rehash()'ed after SetName(). For example the list of objects in the current directory is a THashList.

Reimplemented in RooAbsArg, RooAbsData, RooDataHist, RooDataSet, RooFitResult, RooPlot, ROOT::Experimental::XRooFit::xRooNode, TChain, TColor, TDirectory, TEfficiency, TEventList, TEveScene, TFormula, TGraph2D, TGraph, TH1, TNode, TRotMatrix, TShape, TSystemDirectory, TSystemFile, and TTree.

Definition at line 149 of file TNamed.cxx.

◆ SetNameTitle()

void TNamed::SetNameTitle ( const char * name,
const char * title )
virtualinherited

Set all the TNamed parameters (name and title).

WARNING: if the name is changed and the object is a member of a THashTable or THashList container the container must be Rehash()'ed after SetName(). For example the list of objects in the current directory is a THashList.

Reimplemented in RooAbsArg, RooAbsData, RooDataHist, RooDataSet, RooFitResult, RooPlot, TContextMenu, TGraph2D, TGraph, TH1, and TNode.

Definition at line 163 of file TNamed.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.

◆ SetPeakParameters()

void TSpectrum2Fit::SetPeakParameters ( Double_t sigmaX,
Bool_t fixSigmaX,
Double_t sigmaY,
Bool_t fixSigmaY,
Double_t ro,
Bool_t fixRo,
const Double_t * positionInitX,
const Bool_t * fixPositionX,
const Double_t * positionInitY,
const Bool_t * fixPositionY,
const Double_t * positionInitX1,
const Bool_t * fixPositionX1,
const Double_t * positionInitY1,
const Bool_t * fixPositionY1,
const Double_t * ampInit,
const Bool_t * fixAmp,
const Double_t * ampInitX1,
const Bool_t * fixAmpX1,
const Double_t * ampInitY1,
const Bool_t * fixAmpY1 )

This function sets the following fitting parameters of peaks:

  • sigmaX - initial value of sigma x parameter
  • fixSigmaX - logical value of sigma x parameter, which allows to fix the parameter (not to fit)
  • sigmaY - initial value of sigma y parameter
  • fixSigmaY - logical value of sigma y parameter, which allows to fix the parameter (not to fit)
  • ro - initial value of ro parameter (correlation coefficient)
  • fixRo - logical value of ro parameter, which allows to fix the parameter (not to fit)
  • positionInitX - array of initial values of peaks x positions
  • fixPositionX - array of logical values which allow to fix appropriate x positions (not fit). However they are present in the estimated functional.
  • positionInitY - array of initial values of peaks y positions
  • fixPositionY - array of logical values which allow to fix appropriate y positions (not fit). However they are present in the estimated functional.
  • ampInit - array of initial values of 2D peaks amplitudes
  • fixAmp - array of logical values which allow to fix appropriate amplitudes of 2D peaks (not fit). However they are present in the estimated functional
  • ampInitX1 - array of initial values of amplitudes of 1D ridges in x direction
  • fixAmpX1 - array of logical values which allow to fix appropriate amplitudes of 1D ridges in x direction (not fit). However they are present in the estimated functional
  • ampInitY1 - array of initial values of amplitudes of 1D ridges in y direction
  • fixAmpY1 - array of logical values which allow to fix appropriate amplitudes of 1D ridges in y direction (not fit). However they are present in the estimated functional

Definition at line 5582 of file TSpectrum2Fit.cxx.

◆ SetTailParameters()

void TSpectrum2Fit::SetTailParameters ( Double_t tInitXY,
Bool_t fixTxy,
Double_t tInitX,
Bool_t fixTx,
Double_t tInitY,
Bool_t fixTy,
Double_t bInitX,
Bool_t fixBx,
Double_t bInitY,
Bool_t fixBy,
Double_t sInitXY,
Bool_t fixSxy,
Double_t sInitX,
Bool_t fixSx,
Double_t sInitY,
Bool_t fixSy )

This function sets the following fitting parameters of tails of peaks.

  • tInitXY - initial value of txy parameter
  • fixTxy - logical value of txy parameter, which allows to fix the parameter (not to fit)
  • tInitX - initial value of tx parameter
  • fixTx - logical value of tx parameter, which allows to fix the parameter (not to fit)
  • tInitY - initial value of ty parameter
  • fixTy - logical value of ty parameter, which allows to fix the parameter (not to fit)
  • bInitX - initial value of bx parameter
  • fixBx - logical value of bx parameter, which allows to fix the parameter (not to fit)
  • bInitY - initial value of by parameter
  • fixBy - logical value of by parameter, which allows to fix the parameter (not to fit)
  • sInitXY - initial value of sxy parameter
  • fixSxy - logical value of sxy parameter, which allows to fix the parameter (not to fit)
  • sInitX - initial value of sx parameter
  • fixSx - logical value of sx parameter, which allows to fix the parameter (not to fit)
  • sInitY - initial value of sy parameter
  • fixSy - logical value of sy parameter, which allows to fix the parameter (not to fit)

Definition at line 5680 of file TSpectrum2Fit.cxx.

◆ SetTitle()

void TNamed::SetTitle ( const char * title = "")
virtualinherited

Set the title of the TNamed.

Reimplemented in Axis2, RooPlot, ROOT::Experimental::XRooFit::xRooNode, ROOT::TSchemaRule::TSources, TASImage, TEfficiency, TF1, TGraph2D, TGraph, TH1, THnBase, TParallelCoordVar, TSystemDirectory, and TSystemFile.

Definition at line 173 of file TNamed.cxx.

◆ SetUniqueID()

void TObject::SetUniqueID ( UInt_t uid)
virtualinherited

Set the unique object id.

Definition at line 899 of file TObject.cxx.

◆ Shape2()

Double_t TSpectrum2Fit::Shape2 ( Int_t numOfFittedPeaks,
Double_t x,
Double_t y,
const Double_t * parameter,
Double_t sigmax,
Double_t sigmay,
Double_t ro,
Double_t a0,
Double_t ax,
Double_t ay,
Double_t txy,
Double_t sxy,
Double_t tx,
Double_t ty,
Double_t sx,
Double_t sy,
Double_t bx,
Double_t by )
protected

This function calculates 2D peaks shape function (see manual).

Function parameters:

  • numOfFittedPeaks-number of fitted peaks
  • x-channel in x-dimension
  • y-channel in y-dimension
  • parameter-array of peaks parameters (amplitudes and positions)
  • sigmax-sigmax of peaks
  • sigmay-sigmay of peaks
  • ro-correlation coefficient
  • a0,ax,ay-bac kground coefficients
  • txy,tx,ty, sxy,sy,sx-relative amplitudes
  • bx, by-slopes

Definition at line 436 of file TSpectrum2Fit.cxx.

◆ Sizeof()

Int_t TNamed::Sizeof ( ) const
virtualinherited

Return size of the TNamed part of the TObject.

Reimplemented in TDirectory, TDirectoryFile, TFile, TKey, TSQLFile, and TXMLFile.

Definition at line 182 of file TNamed.cxx.

◆ StiefelInversion()

void TSpectrum2Fit::StiefelInversion ( Double_t ** a,
Int_t size )
protected

This function calculates solution of the system of linear equations.

The matrix a should have a dimension size*(size+4) The calling function should fill in the matrix, the column size should contain vector y (right side of the system of equations). The result is placed into size+1 column of the matrix. according to sigma of peaks.

Function parameters:

  • a-matrix with dimension size*(size+4)
  • size-number of rows of the matrix

Definition at line 373 of file TSpectrum2Fit.cxx.

◆ Streamer()

void TSpectrum2Fit::Streamer ( TBuffer & R__b)
overridevirtual

Stream an object of class TObject.

Reimplemented from TNamed.

◆ StreamerNVirtual()

void TSpectrum2Fit::StreamerNVirtual ( TBuffer & ClassDef_StreamerNVirtual_b)
inline

Definition at line 190 of file TSpectrum2Fit.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.

◆ Volume()

Double_t TSpectrum2Fit::Volume ( Double_t a,
Double_t sx,
Double_t sy,
Double_t ro )
protected

This function calculates volume of a peak.

Function parameters:

  • a-amplitude of the peak
  • sx,sy-sigmas of peak
  • ro-correlation coefficient

Definition at line 1528 of file TSpectrum2Fit.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

◆ fA0Calc

Double_t TSpectrum2Fit::fA0Calc
protected

calculated value of background a0 parameter

Definition at line 87 of file TSpectrum2Fit.h.

◆ fA0Err

Double_t TSpectrum2Fit::fA0Err
protected

error value of background a0 parameter

Definition at line 88 of file TSpectrum2Fit.h.

◆ fA0Init

Double_t TSpectrum2Fit::fA0Init
protected

initial value of background a0 parameter(backgroud is estimated as a0+ax*x+ay*y)

Definition at line 86 of file TSpectrum2Fit.h.

◆ fAlpha

Double_t TSpectrum2Fit::fAlpha
protected

convergence coefficient, input parameter, it should be positive number and <=1, for details see references

Definition at line 28 of file TSpectrum2Fit.h.

◆ fAlphaOptim

Int_t TSpectrum2Fit::fAlphaOptim
protected

optimization of convergence algorithm, possible values kFitAlphaHalving, kFitAlphaOptimal

Definition at line 25 of file TSpectrum2Fit.h.

◆ fAmpCalc

Double_t* TSpectrum2Fit::fAmpCalc
protected

[fNPeaks] array of calculated values of amplitudes of 2D peaks, output parameters

Definition at line 43 of file TSpectrum2Fit.h.

◆ fAmpCalcX1

Double_t* TSpectrum2Fit::fAmpCalcX1
protected

[fNPeaks] array of calculated values of amplitudes of 1D ridges in x direction, output parameters

Definition at line 46 of file TSpectrum2Fit.h.

◆ fAmpCalcY1

Double_t* TSpectrum2Fit::fAmpCalcY1
protected

[fNPeaks] array of calculated values of amplitudes of 1D ridges in y direction, output parameters

Definition at line 49 of file TSpectrum2Fit.h.

◆ fAmpErr

Double_t* TSpectrum2Fit::fAmpErr
protected

[fNPeaks] array of amplitudes errors of 2D peaks, output parameters

Definition at line 44 of file TSpectrum2Fit.h.

◆ fAmpErrX1

Double_t* TSpectrum2Fit::fAmpErrX1
protected

[fNPeaks] array of amplitudes errors of 1D ridges in x direction, output parameters

Definition at line 47 of file TSpectrum2Fit.h.

◆ fAmpErrY1

Double_t* TSpectrum2Fit::fAmpErrY1
protected

[fNPeaks] array of amplitudes errors of 1D ridges in y direction, output parameters

Definition at line 50 of file TSpectrum2Fit.h.

◆ fAmpInit

Double_t* TSpectrum2Fit::fAmpInit
protected

[fNPeaks] array of initial values of amplitudes of 2D peaks, input parameters

Definition at line 42 of file TSpectrum2Fit.h.

◆ fAmpInitX1

Double_t* TSpectrum2Fit::fAmpInitX1
protected

[fNPeaks] array of initial values of amplitudes of 1D ridges in x direction, input parameters

Definition at line 45 of file TSpectrum2Fit.h.

◆ fAmpInitY1

Double_t* TSpectrum2Fit::fAmpInitY1
protected

[fNPeaks] array of initial values of amplitudes of 1D ridges in y direction, input parameters

Definition at line 48 of file TSpectrum2Fit.h.

◆ fAxCalc

Double_t TSpectrum2Fit::fAxCalc
protected

calculated value of background ax parameter

Definition at line 90 of file TSpectrum2Fit.h.

◆ fAxErr

Double_t TSpectrum2Fit::fAxErr
protected

error value of background ax parameter

Definition at line 91 of file TSpectrum2Fit.h.

◆ fAxInit

Double_t TSpectrum2Fit::fAxInit
protected

initial value of background ax parameter(backgroud is estimated as a0+ax*x+ay*y)

Definition at line 89 of file TSpectrum2Fit.h.

◆ fAyCalc

Double_t TSpectrum2Fit::fAyCalc
protected

calculated value of background ay parameter

Definition at line 93 of file TSpectrum2Fit.h.

◆ fAyErr

Double_t TSpectrum2Fit::fAyErr
protected

error value of background ay parameter

Definition at line 94 of file TSpectrum2Fit.h.

◆ fAyInit

Double_t TSpectrum2Fit::fAyInit
protected

initial value of background ay parameter(backgroud is estimated as a0+ax*x+ay*y)

Definition at line 92 of file TSpectrum2Fit.h.

◆ fBits

UInt_t TObject::fBits
privateinherited

bit field status word

Definition at line 47 of file TObject.h.

◆ fBxCalc

Double_t TSpectrum2Fit::fBxCalc
protected

calculated value of b parameter for 1D ridges in x direction

Definition at line 81 of file TSpectrum2Fit.h.

◆ fBxErr

Double_t TSpectrum2Fit::fBxErr
protected

error value of b parameter for 1D ridges in x direction

Definition at line 82 of file TSpectrum2Fit.h.

◆ fBxInit

Double_t TSpectrum2Fit::fBxInit
protected

initial value of b parameter for 1D ridges in x direction (slope), for details see html manual and references

Definition at line 80 of file TSpectrum2Fit.h.

◆ fByCalc

Double_t TSpectrum2Fit::fByCalc
protected

calculated value of b parameter for 1D ridges in y direction

Definition at line 84 of file TSpectrum2Fit.h.

◆ fByErr

Double_t TSpectrum2Fit::fByErr
protected

error value of b parameter for 1D ridges in y direction

Definition at line 85 of file TSpectrum2Fit.h.

◆ fByInit

Double_t TSpectrum2Fit::fByInit
protected

initial value of b parameter for 1D ridges in y direction (slope), for details see html manual and references

Definition at line 83 of file TSpectrum2Fit.h.

◆ fChi

Double_t TSpectrum2Fit::fChi
protected

here the fitting functions return resulting chi square

Definition at line 29 of file TSpectrum2Fit.h.

◆ fFitTaylor

Int_t TSpectrum2Fit::fFitTaylor
protected

order of Taylor expansion, possible values kFitTaylorOrderFirst, kFitTaylorOrderSecond. It applies only for Awmi fitting function.

Definition at line 27 of file TSpectrum2Fit.h.

◆ fFixA0

Bool_t TSpectrum2Fit::fFixA0
protected

logical value of a0 parameter, which allows to fix the parameter (not to fit).

Definition at line 113 of file TSpectrum2Fit.h.

◆ fFixAmp

Bool_t* TSpectrum2Fit::fFixAmp
protected

[fNPeaks] array of logical values which allow to fix appropriate amplitudes of 2D peaks (not fit). However they are present in the estimated functional

Definition at line 99 of file TSpectrum2Fit.h.

◆ fFixAmpX1

Bool_t* TSpectrum2Fit::fFixAmpX1
protected

[fNPeaks] array of logical values which allow to fix appropriate amplitudes of 1D ridges in x direction (not fit). However they are present in the estimated functional

Definition at line 100 of file TSpectrum2Fit.h.

◆ fFixAmpY1

Bool_t* TSpectrum2Fit::fFixAmpY1
protected

[fNPeaks] array of logical values which allow to fix appropriate amplitudes of 1D ridges in y direction (not fit). However they are present in the estimated functional

Definition at line 101 of file TSpectrum2Fit.h.

◆ fFixAx

Bool_t TSpectrum2Fit::fFixAx
protected

logical value of ax parameter, which allows to fix the parameter (not to fit).

Definition at line 114 of file TSpectrum2Fit.h.

◆ fFixAy

Bool_t TSpectrum2Fit::fFixAy
protected

logical value of ay parameter, which allows to fix the parameter (not to fit).

Definition at line 115 of file TSpectrum2Fit.h.

◆ fFixBx

Bool_t TSpectrum2Fit::fFixBx
protected

logical value of b parameter for 1D ridges in x direction, which allows to fix the parameter (not to fit).

Definition at line 111 of file TSpectrum2Fit.h.

◆ fFixBy

Bool_t TSpectrum2Fit::fFixBy
protected

logical value of b parameter for 1D ridges in y direction, which allows to fix the parameter (not to fit).

Definition at line 112 of file TSpectrum2Fit.h.

◆ fFixPositionX

Bool_t* TSpectrum2Fit::fFixPositionX
protected

[fNPeaks] array of logical values which allow to fix appropriate x positions of 2D peaks (not fit). However they are present in the estimated functional

Definition at line 95 of file TSpectrum2Fit.h.

◆ fFixPositionX1

Bool_t* TSpectrum2Fit::fFixPositionX1
protected

[fNPeaks] array of logical values which allow to fix appropriate x positions of 1D ridges (not fit). However they are present in the estimated functional

Definition at line 97 of file TSpectrum2Fit.h.

◆ fFixPositionY

Bool_t* TSpectrum2Fit::fFixPositionY
protected

[fNPeaks] array of logical values which allow to fix appropriate y positions of 2D peaks (not fit). However they are present in the estimated functional

Definition at line 96 of file TSpectrum2Fit.h.

◆ fFixPositionY1

Bool_t* TSpectrum2Fit::fFixPositionY1
protected

[fNPeaks] array of logical values which allow to fix appropriate y positions of 1D ridges (not fit). However they are present in the estimated functional

Definition at line 98 of file TSpectrum2Fit.h.

◆ fFixRo

Bool_t TSpectrum2Fit::fFixRo
protected

logical value of correlation coefficient, which allows to fix the parameter (not to fit).

Definition at line 104 of file TSpectrum2Fit.h.

◆ fFixSigmaX

Bool_t TSpectrum2Fit::fFixSigmaX
protected

logical value of sigma x parameter, which allows to fix the parameter (not to fit).

Definition at line 102 of file TSpectrum2Fit.h.

◆ fFixSigmaY

Bool_t TSpectrum2Fit::fFixSigmaY
protected

logical value of sigma y parameter, which allows to fix the parameter (not to fit).

Definition at line 103 of file TSpectrum2Fit.h.

◆ fFixSx

Bool_t TSpectrum2Fit::fFixSx
protected

logical value of s parameter for 1D ridges in x direction, which allows to fix the parameter (not to fit).

Definition at line 109 of file TSpectrum2Fit.h.

◆ fFixSxy

Bool_t TSpectrum2Fit::fFixSxy
protected

logical value of s parameter for 2D peaks, which allows to fix the parameter (not to fit).

Definition at line 106 of file TSpectrum2Fit.h.

◆ fFixSy

Bool_t TSpectrum2Fit::fFixSy
protected

logical value of s parameter for 1D ridges in y direction, which allows to fix the parameter (not to fit).

Definition at line 110 of file TSpectrum2Fit.h.

◆ fFixTx

Bool_t TSpectrum2Fit::fFixTx
protected

logical value of t parameter for 1D ridges in x direction, which allows to fix the parameter (not to fit).

Definition at line 107 of file TSpectrum2Fit.h.

◆ fFixTxy

Bool_t TSpectrum2Fit::fFixTxy
protected

logical value of t parameter for 2D peaks, which allows to fix the parameter (not to fit).

Definition at line 105 of file TSpectrum2Fit.h.

◆ fFixTy

Bool_t TSpectrum2Fit::fFixTy
protected

logical value of t parameter for 1D ridges in y direction, which allows to fix the parameter (not to fit).

Definition at line 108 of file TSpectrum2Fit.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.

◆ fName

TString TNamed::fName
protectedinherited

Definition at line 32 of file TNamed.h.

◆ fNPeaks

Int_t TSpectrum2Fit::fNPeaks
protected

number of peaks present in fit, input parameter, it should be > 0

Definition at line 18 of file TSpectrum2Fit.h.

◆ fNumberIterations

Int_t TSpectrum2Fit::fNumberIterations
protected

number of iterations in fitting procedure, input parameter, it should be > 0

Definition at line 19 of file TSpectrum2Fit.h.

◆ fPositionCalcX

Double_t* TSpectrum2Fit::fPositionCalcX
protected

[fNPeaks] array of calculated values of x positions of 2D peaks, output parameters

Definition at line 31 of file TSpectrum2Fit.h.

◆ fPositionCalcX1

Double_t* TSpectrum2Fit::fPositionCalcX1
protected

[fNPeaks] array of calculated x positions of 1D ridges, output parameters

Definition at line 37 of file TSpectrum2Fit.h.

◆ fPositionCalcY

Double_t* TSpectrum2Fit::fPositionCalcY
protected

[fNPeaks] array of calculated values of y positions of 2D peaks, output parameters

Definition at line 34 of file TSpectrum2Fit.h.

◆ fPositionCalcY1

Double_t* TSpectrum2Fit::fPositionCalcY1
protected

[fNPeaks] array of calculated y positions of 1D ridges, output parameters

Definition at line 40 of file TSpectrum2Fit.h.

◆ fPositionErrX

Double_t* TSpectrum2Fit::fPositionErrX
protected

[fNPeaks] array of error values of x positions of 2D peaks, output parameters

Definition at line 32 of file TSpectrum2Fit.h.

◆ fPositionErrX1

Double_t* TSpectrum2Fit::fPositionErrX1
protected

[fNPeaks] array of x positions errors of 1D ridges, output parameters

Definition at line 38 of file TSpectrum2Fit.h.

◆ fPositionErrY

Double_t* TSpectrum2Fit::fPositionErrY
protected

[fNPeaks] array of error values of y positions of 2D peaks, output parameters

Definition at line 35 of file TSpectrum2Fit.h.

◆ fPositionErrY1

Double_t* TSpectrum2Fit::fPositionErrY1
protected

[fNPeaks] array of y positions errors of 1D ridges, output parameters

Definition at line 41 of file TSpectrum2Fit.h.

◆ fPositionInitX

Double_t* TSpectrum2Fit::fPositionInitX
protected

[fNPeaks] array of initial values of x positions of 2D peaks, input parameters

Definition at line 30 of file TSpectrum2Fit.h.

◆ fPositionInitX1

Double_t* TSpectrum2Fit::fPositionInitX1
protected

[fNPeaks] array of initial x positions of 1D ridges, input parameters

Definition at line 36 of file TSpectrum2Fit.h.

◆ fPositionInitY

Double_t* TSpectrum2Fit::fPositionInitY
protected

[fNPeaks] array of initial values of y positions of 2D peaks, input parameters

Definition at line 33 of file TSpectrum2Fit.h.

◆ fPositionInitY1

Double_t* TSpectrum2Fit::fPositionInitY1
protected

[fNPeaks] array of initial y positions of 1D ridges, input parameters

Definition at line 39 of file TSpectrum2Fit.h.

◆ fPower

Int_t TSpectrum2Fit::fPower
protected

possible values kFitPower2,4,6,8,10,12, for details see references. It applies only for Awmi fitting function.

Definition at line 26 of file TSpectrum2Fit.h.

◆ fRoCalc

Double_t TSpectrum2Fit::fRoCalc
protected

calculated value of correlation coefficient

Definition at line 60 of file TSpectrum2Fit.h.

◆ fRoErr

Double_t TSpectrum2Fit::fRoErr
protected

error value of correlation coefficient

Definition at line 61 of file TSpectrum2Fit.h.

◆ fRoInit

Double_t TSpectrum2Fit::fRoInit
protected

initial value of correlation coefficient

Definition at line 59 of file TSpectrum2Fit.h.

◆ fSigmaCalcX

Double_t TSpectrum2Fit::fSigmaCalcX
protected

calculated value of sigma x parameter

Definition at line 54 of file TSpectrum2Fit.h.

◆ fSigmaCalcY

Double_t TSpectrum2Fit::fSigmaCalcY
protected

calculated value of sigma y parameter

Definition at line 57 of file TSpectrum2Fit.h.

◆ fSigmaErrX

Double_t TSpectrum2Fit::fSigmaErrX
protected

error value of sigma x parameter

Definition at line 55 of file TSpectrum2Fit.h.

◆ fSigmaErrY

Double_t TSpectrum2Fit::fSigmaErrY
protected

error value of sigma y parameter

Definition at line 58 of file TSpectrum2Fit.h.

◆ fSigmaInitX

Double_t TSpectrum2Fit::fSigmaInitX
protected

initial value of sigma x parameter

Definition at line 53 of file TSpectrum2Fit.h.

◆ fSigmaInitY

Double_t TSpectrum2Fit::fSigmaInitY
protected

initial value of sigma y parameter

Definition at line 56 of file TSpectrum2Fit.h.

◆ fStatisticType

Int_t TSpectrum2Fit::fStatisticType
protected

type of statistics, possible values kFitOptimChiCounts (chi square statistics with counts as weighting coefficients), kFitOptimChiFuncValues (chi square statistics with function values as weighting coefficients),kFitOptimMaxLikelihood

Definition at line 24 of file TSpectrum2Fit.h.

◆ fSxCalc

Double_t TSpectrum2Fit::fSxCalc
protected

calculated value of s parameter for 1D ridges in x direction

Definition at line 75 of file TSpectrum2Fit.h.

◆ fSxErr

Double_t TSpectrum2Fit::fSxErr
protected

error value of s parameter for 1D ridges in x direction

Definition at line 76 of file TSpectrum2Fit.h.

◆ fSxInit

Double_t TSpectrum2Fit::fSxInit
protected

initial value of s parameter for 1D ridges in x direction (relative amplitude of step), for details see html manual and references

Definition at line 74 of file TSpectrum2Fit.h.

◆ fSxyCalc

Double_t TSpectrum2Fit::fSxyCalc
protected

calculated value of s parameter for 2D peaks

Definition at line 66 of file TSpectrum2Fit.h.

◆ fSxyErr

Double_t TSpectrum2Fit::fSxyErr
protected

error value of s parameter for 2D peaks

Definition at line 67 of file TSpectrum2Fit.h.

◆ fSxyInit

Double_t TSpectrum2Fit::fSxyInit
protected

initial value of s parameter for 2D peaks (relative amplitude of step), for details see html manual and references

Definition at line 65 of file TSpectrum2Fit.h.

◆ fSyCalc

Double_t TSpectrum2Fit::fSyCalc
protected

calculated value of s parameter for 1D ridges in y direction

Definition at line 78 of file TSpectrum2Fit.h.

◆ fSyErr

Double_t TSpectrum2Fit::fSyErr
protected

error value of s parameter for 1D ridges in y direction

Definition at line 79 of file TSpectrum2Fit.h.

◆ fSyInit

Double_t TSpectrum2Fit::fSyInit
protected

initial value of s parameter for 1D ridges in y direction (relative amplitude of step), for details see html manual and references

Definition at line 77 of file TSpectrum2Fit.h.

◆ fTitle

TString TNamed::fTitle
protectedinherited

Definition at line 33 of file TNamed.h.

◆ fTxCalc

Double_t TSpectrum2Fit::fTxCalc
protected

calculated value of t parameter for 1D ridges in x direction

Definition at line 69 of file TSpectrum2Fit.h.

◆ fTxErr

Double_t TSpectrum2Fit::fTxErr
protected

error value of t parameter for 1D ridges in x direction

Definition at line 70 of file TSpectrum2Fit.h.

◆ fTxInit

Double_t TSpectrum2Fit::fTxInit
protected

initial value of t parameter for 1D ridges in x direction (relative amplitude of tail), for details see html manual and references

Definition at line 68 of file TSpectrum2Fit.h.

◆ fTxyCalc

Double_t TSpectrum2Fit::fTxyCalc
protected

calculated value of t parameter for 2D peaks

Definition at line 63 of file TSpectrum2Fit.h.

◆ fTxyErr

Double_t TSpectrum2Fit::fTxyErr
protected

error value of t parameter for 2D peaks

Definition at line 64 of file TSpectrum2Fit.h.

◆ fTxyInit

Double_t TSpectrum2Fit::fTxyInit
protected

initial value of t parameter for 2D peaks (relative amplitude of tail), for details see html manual and references

Definition at line 62 of file TSpectrum2Fit.h.

◆ fTyCalc

Double_t TSpectrum2Fit::fTyCalc
protected

calculated value of t parameter for 1D ridges in y direction

Definition at line 72 of file TSpectrum2Fit.h.

◆ fTyErr

Double_t TSpectrum2Fit::fTyErr
protected

error value of t parameter for 1D ridges in y direction

Definition at line 73 of file TSpectrum2Fit.h.

◆ fTyInit

Double_t TSpectrum2Fit::fTyInit
protected

initial value of t parameter for 1D ridges in y direction (relative amplitude of tail), for details see html manual and references

Definition at line 71 of file TSpectrum2Fit.h.

◆ fUniqueID

UInt_t TObject::fUniqueID
privateinherited

object unique identifier

Definition at line 46 of file TObject.h.

◆ fVolume

Double_t* TSpectrum2Fit::fVolume
protected

[fNPeaks] array of calculated volumes of 2D peaks, output parameters

Definition at line 51 of file TSpectrum2Fit.h.

◆ fVolumeErr

Double_t* TSpectrum2Fit::fVolumeErr
protected

[fNPeaks] array of volumes errors of 2D peaks, output parameters

Definition at line 52 of file TSpectrum2Fit.h.

◆ fXmax

Int_t TSpectrum2Fit::fXmax
protected

last fitted channel in x direction

Definition at line 21 of file TSpectrum2Fit.h.

◆ fXmin

Int_t TSpectrum2Fit::fXmin
protected

first fitted channel in x direction

Definition at line 20 of file TSpectrum2Fit.h.

◆ fYmax

Int_t TSpectrum2Fit::fYmax
protected

last fitted channel in y direction

Definition at line 23 of file TSpectrum2Fit.h.

◆ fYmin

Int_t TSpectrum2Fit::fYmin
protected

first fitted channel in y direction

Definition at line 22 of file TSpectrum2Fit.h.

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