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TBackCompFitter Class Reference

Backward compatible implementation of TVirtualFitter.

Backward compatible implementation of TVirtualFitter using the class ROOT::Fit::Fitter. This class is created after fitting an histogram (TH1), TGraph or TTree and provides in addition to the methods of the TVirtualFitter hooks to access the fit result class (ROOT::Fit::FitResult), the fit configuration (ROOT::Fit::FitConfig) or the fit data (ROOT::Fit::FitData) using

result.Print(std::cout);
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t result
class containing the result of the fit and all the related information (fitted parameter values,...
Definition FitResult.h:47
Backward compatible implementation of TVirtualFitter.
const ROOT::Fit::FitResult & GetFitResult() const
Get reference to Fit Result object (NOTE: it will be invalid when class is deleted)
static TVirtualFitter * GetFitter()
static: return the current Fitter

Methods for getting the confidence level or contours are also provided. Note that after a new calls to TH1::Fit (or similar) the class will be deleted and all reference to the FitResult, FitConfig or minimizer will be invalid. One could eventually copying the class before issuing a new fit to avoid deleting this information.

Definition at line 37 of file TBackCompFitter.h.

Public Types

enum  EStatusBits { kCanDeleteLast = (1ULL << ( 9 )) }
 
- Public Types inherited from TVirtualFitter
typedef void(* FCNFunc_t) (Int_t &npar, Double_t *gin, Double_t &f, Double_t *u, Int_t flag)
 
- Public Types inherited from TObject
enum  {
  kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 ,
  kBitMask = 0x00ffffff
}
 
enum  { kSingleKey = (1ULL << ( 0 )) , kOverwrite = (1ULL << ( 1 )) , kWriteDelete = (1ULL << ( 2 )) }
 
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

 TBackCompFitter ()
 Constructor needed by TVirtualFitter interface.
 
 TBackCompFitter (const std::shared_ptr< ROOT::Fit::Fitter > &fitter, const std::shared_ptr< ROOT::Fit::FitData > &data)
 Constructor used after having fit using directly ROOT::Fit::Fitter will create a dummy fitter copying configuration and parameter settings.
 
 ~TBackCompFitter () override
 Destructor - delete the managed objects.
 
Double_t Chisquare (Int_t npar, Double_t *params) const override
 Do chisquare calculations in case of likelihood fits Do evaluation a the minimum only.
 
void Clear (Option_t *option="") override
 Clear resources for consecutive fits.
 
bool Contour (unsigned int ipar, unsigned int jpar, TGraph *gr, double confLevel=0.683)
 Create a 2D contour around the minimum for the parameter ipar and jpar if a minimum does not exist or is invalid it will return false on exit a TGraph is filled with the contour points the number of contour points is determined by the size of the TGraph.
 
Int_t ExecuteCommand (const char *command, Double_t *args, Int_t nargs) override
 Execute the command (Fortran Minuit compatible interface)
 
void FixParameter (Int_t ipar) override
 Fix the parameter.
 
void GetConfidenceIntervals (Int_t n, Int_t ndim, const Double_t *x, Double_t *ci, Double_t cl=0.95) override
 Computes point-by-point confidence intervals for the fitted function.
 
void GetConfidenceIntervals (TObject *obj, Double_t cl=0.95) override
 Computes confidence intervals at level cl.
 
Double_tGetCovarianceMatrix () const override
 Get the error matrix in a pointer to a NxN array.
 
Double_t GetCovarianceMatrixElement (Int_t i, Int_t j) const override
 Get error matrix element (return all zero if matrix is not available)
 
Int_t GetErrors (Int_t ipar, Double_t &eplus, Double_t &eminus, Double_t &eparab, Double_t &globcc) const override
 Get fit errors.
 
ROOT::Fit::FitConfigGetFitConfig ()
 Get reference to Fit configuration (NOTE: it will be invalid when class is deleted)
 
const ROOT::Fit::FitDataGetFitData () const
 Get reference to Fit Data object (NOTE: it will be invalid when class is deleted)
 
const ROOT::Fit::FitResultGetFitResult () const
 Get reference to Fit Result object (NOTE: it will be invalid when class is deleted)
 
ROOT::Math::MinimizerGetMinimizer () const
 Return a pointer to the minimizer.
 
Int_t GetNumberFreeParameters () const override
 
Int_t GetNumberTotalParameters () const override
 Number of total parameters.
 
ROOT::Math::IMultiGenFunctionGetObjFunction () const
 Return a pointer to the objective function (FCN) If fitting directly using TBackCompFitter the pointer is managed by the class, which has been set previously when calling SetObjFunction or SetFCN Otherwise if the class is used in the backward compatible mode (e.g.
 
Double_t GetParameter (Int_t ipar) const override
 Parameter value.
 
Int_t GetParameter (Int_t ipar, char *name, Double_t &value, Double_t &verr, Double_t &vlow, Double_t &vhigh) const override
 Get all parameter info (name, value, errors)
 
Double_t GetParError (Int_t ipar) const override
 Parameter error.
 
const char * GetParName (Int_t ipar) const override
 Return name of parameter ipar.
 
Int_t GetStats (Double_t &amin, Double_t &edm, Double_t &errdef, Int_t &nvpar, Int_t &nparx) const override
 Get fit statistical information.
 
Double_t GetSumLog (Int_t i) override
 Sum of log (un-needed)
 
TFitResultGetTFitResult () const
 Get a copy of the Fit result returning directly a new TFitResult.
 
TClassIsA () const override
 
Bool_t IsFixed (Int_t ipar) const override
 Query if parameter ipar is fixed.
 
void PrintResults (Int_t level, Double_t amin) const override
 Print the fit result.
 
void ReCreateMinimizer ()
 Recreate a minimizer instance using the function and data set objective function in minimizers function to re-create FCN from stored data object and fit options.
 
void ReleaseParameter (Int_t ipar) override
 Release a fit parameter.
 
bool Scan (unsigned int ipar, TGraph *gr, double xmin=0, double xmax=0)
 Scan parameter ipar between value of xmin and xmax A graph must be given which will be on return filled with the scan resul If the graph size is zero, a default size n = 40 will be used.
 
void SetFCN (void(*fcn)(Int_t &, Double_t *, Double_t &f, Double_t *, Int_t)) override
 Override setFCN to use the Adapter to Minuit2 FCN interface To set the address of the minimization function.
 
void SetFitMethod (const char *name) override
 Set fit method (chi2 or likelihood).
 
virtual void SetMethodCall (TMethodCall *m)
 For using interpreted function passed by the user.
 
virtual void SetObjFunction (ROOT::Math::IMultiGenFunction *f)
 Set the objective function for fitting Needed if fitting directly using TBackCompFitter class The class clones a copy of the function and manages it.
 
Int_t SetParameter (Int_t ipar, const char *parname, Double_t value, Double_t verr, Double_t vlow, Double_t vhigh) override
 Set (add) a new fit parameter passing initial value, step size (verr) and parameter limits if vlow > vhigh the parameter is unbounded if the stepsize (verr) == 0 the parameter is treated as fixed.
 
void Streamer (TBuffer &) override
 Stream an object of class TObject.
 
void StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)
 
- Public Member Functions inherited from TVirtualFitter
 TVirtualFitter ()
 Default constructor.
 
 ~TVirtualFitter () override
 Cleanup virtual fitter.
 
virtual FCNFunc_t GetFCN ()
 
virtual Foption_t GetFitOption () const
 
TMethodCallGetMethodCall () const
 
virtual TObjectGetObjectFit () const
 
virtual TObjectGetUserFunc () const
 
virtual Int_t GetXfirst () const
 
virtual Int_t GetXlast () const
 
virtual Int_t GetYfirst () const
 
virtual Int_t GetYlast () const
 
virtual Int_t GetZfirst () const
 
virtual Int_t GetZlast () const
 
TClassIsA () const override
 
virtual Double_tSetCache (Int_t npoints, Int_t psize)
 Initialize the cache array npoints is the number of points to be stored (or already stored) in the cache psize is the number of elements per point.
 
virtual void SetFitOption (Foption_t option)
 
virtual void SetObjectFit (TObject *obj)
 
virtual void SetUserFunc (TObject *userfunc)
 
virtual void SetXfirst (Int_t first)
 
virtual void SetXlast (Int_t last)
 
virtual void SetYfirst (Int_t first)
 
virtual void SetYlast (Int_t last)
 
virtual void SetZfirst (Int_t first)
 
virtual void SetZlast (Int_t last)
 
void Streamer (TBuffer &) override
 Stream an object of class TObject.
 
void StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)
 
- Public Member Functions inherited from TNamed
 TNamed ()
 
 TNamed (const char *name, const char *title)
 
 TNamed (const TNamed &named)
 TNamed copy ctor.
 
 TNamed (const TString &name, const TString &title)
 
virtual ~TNamed ()
 TNamed destructor.
 
TObjectClone (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 FillBuffer (char *&buffer)
 Encode TNamed into output buffer.
 
const char * GetName () const override
 Returns name of object.
 
const char * GetTitle () const override
 Returns title of object.
 
ULong_t Hash () const override
 Return hash value for this object.
 
Bool_t IsSortable () const override
 
void ls (Option_t *option="") const override
 List TNamed name and title.
 
TNamedoperator= (const TNamed &rhs)
 TNamed assignment operator.
 
void Print (Option_t *option="") const override
 Print TNamed name and title.
 
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).
 
virtual void SetTitle (const char *title="")
 Set the title of the TNamed.
 
virtual Int_t Sizeof () const
 Return size of the TNamed part of the TObject.
 
void StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)
 
- Public Member Functions inherited from TObject
 TObject ()
 TObject constructor.
 
 TObject (const TObject &object)
 TObject copy ctor.
 
virtual ~TObject ()
 TObject destructor.
 
void AbstractMethod (const char *method) const
 Use this method to implement an "abstract" method that you don't want to leave purely abstract.
 
virtual void AppendPad (Option_t *option="")
 Append graphics object to current pad.
 
virtual void Browse (TBrowser *b)
 Browse object. May be overridden for another default action.
 
ULong_t CheckedHash ()
 Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object.
 
virtual const char * ClassName () const
 Returns name of class to which the object belongs.
 
virtual void 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 TObjectDrawClone (Option_t *option="") const
 Draw a clone of this object in the current selected pad with: gROOT->SetSelectedPad(c1).
 
virtual void Dump () const
 Dump contents of object on stdout.
 
virtual void Error (const char *method, const char *msgfmt,...) const
 Issue error message.
 
virtual void Execute (const char *method, const char *params, Int_t *error=nullptr)
 Execute method on this object with the given parameter string, e.g.
 
virtual void Execute (TMethod *method, TObjArray *params, Int_t *error=nullptr)
 Execute method on this object with parameters stored in the TObjArray.
 
virtual void ExecuteEvent (Int_t event, Int_t px, Int_t py)
 Execute action corresponding to an event at (px,py).
 
virtual void Fatal (const char *method, const char *msgfmt,...) const
 Issue fatal error message.
 
virtual TObjectFindObject (const char *name) const
 Must be redefined in derived classes.
 
virtual TObjectFindObject (const TObject *obj) const
 Must be redefined in derived classes.
 
virtual Option_tGetDrawOption () const
 Get option used by the graphics system to draw this object.
 
virtual const char * GetIconName () const
 Returns mime type 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_tGetOption () const
 
virtual UInt_t GetUniqueID () const
 Return the unique object id.
 
virtual Bool_t HandleTimer (TTimer *timer)
 Execute action in response of a timer timing out.
 
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)
 
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).
 
R__ALWAYS_INLINE Bool_t IsOnHeap () const
 
R__ALWAYS_INLINE Bool_t IsZombie () const
 
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 *ptr)
 Operator delete.
 
void operator delete (void *ptr, void *vp)
 Only called by placement new when throwing an exception.
 
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)
 
TObjectoperator= (const TObject &rhs)
 TObject assignment operator.
 
virtual void Paint (Option_t *option="")
 This method must be overridden if a class wants to paint itself.
 
virtual void Pop ()
 Pop on object drawn in a pad to the top of the display list.
 
virtual 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 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.
 
virtual void SetUniqueID (UInt_t uid)
 Set the unique object id.
 
void StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)
 
virtual void SysError (const char *method, const char *msgfmt,...) const
 Issue system error message.
 
R__ALWAYS_INLINE Bool_t TestBit (UInt_t f) const
 
Int_t TestBits (UInt_t f) const
 
virtual void UseCurrentStyle ()
 Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked.
 
virtual void Warning (const char *method, const char *msgfmt,...) const
 Issue warning message.
 
virtual Int_t Write (const char *name=nullptr, Int_t option=0, Int_t bufsize=0)
 Write this object to the current directory.
 
virtual Int_t Write (const char *name=nullptr, Int_t option=0, Int_t bufsize=0) const
 Write this object to the current directory.
 

Static Public Member Functions

static TClassClass ()
 
static const char * Class_Name ()
 
static constexpr Version_t Class_Version ()
 
static const char * DeclFileName ()
 
- Static Public Member Functions inherited from TVirtualFitter
static TClassClass ()
 
static const char * Class_Name ()
 
static constexpr Version_t Class_Version ()
 
static const char * DeclFileName ()
 
static TVirtualFitterFitter (TObject *obj, Int_t maxpar=25)
 Static function returning a pointer to the current fitter.
 
static const char * GetDefaultFitter ()
 static: return the name of the default fitter
 
static Double_t GetErrorDef ()
 static: Return the Error Definition
 
static TVirtualFitterGetFitter ()
 static: return the current Fitter
 
static Int_t GetMaxIterations ()
 static: Return the maximum number of iterations actually max number of function calls
 
static Double_t GetPrecision ()
 static: Return the fit relative precision
 
static void SetDefaultFitter (const char *name="")
 static: set name of default fitter
 
static void SetErrorDef (Double_t errdef=1)
 static: Set the Error Definition (default=1) For Minuit this is the value passed with the "SET ERR" command (see https://cern-tex.web.cern.ch/cern-tex/minuit/node18.html)
 
static void SetFitter (TVirtualFitter *fitter, Int_t maxpar=25)
 Static function to set an alternative fitter.
 
static void SetMaxIterations (Int_t niter=5000)
 static: Set the maximum number of function calls for the minimization algorithm For example for MIGRAD this is the maxcalls value passed as first argument (see https://cern-tex.web.cern.ch/cern-tex/minuit/node18.html )
 
static void SetPrecision (Double_t prec=1e-6)
 static: Set the tolerance used in the minimization algorithm For example for MIGRAD this is tolerance value passed as second argument (see https://cern-tex.web.cern.ch/cern-tex/minuit/node18.html )
 
- Static Public Member Functions inherited from TNamed
static TClassClass ()
 
static const char * Class_Name ()
 
static constexpr Version_t Class_Version ()
 
static const char * DeclFileName ()
 
- Static Public Member Functions inherited from TObject
static TClassClass ()
 
static const char * Class_Name ()
 
static constexpr Version_t Class_Version ()
 
static const char * DeclFileName ()
 
static Longptr_t GetDtorOnly ()
 Return destructor only flag.
 
static Bool_t GetObjectStat ()
 Get status of object stat flag.
 
static void SetDtorOnly (void *obj)
 Set destructor only flag.
 
static void SetObjectStat (Bool_t stat)
 Turn on/off tracking of objects in the TObjectTable.
 

Protected Member Functions

void DoSetDimension ()
 Private method to set dimension in objective function.
 
bool ValidParameterIndex (int ipar) const
 Check if ipar is a valid parameter index.
 
- Protected Member Functions inherited from TVirtualFitter
 TVirtualFitter (const TVirtualFitter &tvf)
 copy constructor
 
TVirtualFitteroperator= (const TVirtualFitter &tvf)
 assignment operator
 
- Protected Member Functions inherited from TObject
virtual void DoError (int level, const char *location, const char *fmt, va_list va) const
 Interface to ErrorHandler (protected).
 
void MakeZombie ()
 

Private Attributes

std::vector< doublefCovar
 Cached covariance matrix (NxN)
 
std::shared_ptr< ROOT::Fit::FitDatafFitData
 ! Data of the fit
 
std::shared_ptr< ROOT::Fit::FitterfFitter
 ! Pointer to fitter object
 
ROOT::Math::MinimizerfMinimizer
 
ROOT::Math::IParamMultiFunctionfModelFunc
 
ROOT::Math::IMultiGenFunctionfObjFunc
 

Additional Inherited Members

- Protected Types inherited from TObject
enum  { kOnlyPrepStep = (1ULL << ( 3 )) }
 
- Protected Attributes inherited from TVirtualFitter
Double_tfCache
 [fCacheSize] Array of points data (fNpoints*fPointSize < fCacheSize words)
 
Int_t fCacheSize
 Size of the fCache array.
 
void(* fFCN )(Int_t &npar, Double_t *gin, Double_t &f, Double_t *u, Int_t flag)
 
TMethodCallfMethodCall
 Pointer to MethodCall in case of interpreted function.
 
Int_t fNpoints
 Number of points to fit.
 
TObjectfObjectFit
 Pointer to object being fitted.
 
Foption_t fOption
 Struct with the fit options.
 
Int_t fPointSize
 Number of words per point in the cache.
 
TObjectfUserFunc
 Pointer to user theoretical function (a TF1*)
 
Int_t fXfirst
 First bin on X axis.
 
Int_t fXlast
 Last bin on X axis.
 
Int_t fYfirst
 First bin on Y axis.
 
Int_t fYlast
 Last bin on Y axis.
 
Int_t fZfirst
 First bin on Z axis.
 
Int_t fZlast
 Last bin on Z axis.
 
- Protected Attributes inherited from TNamed
TString fName
 
TString fTitle
 

#include <TBackCompFitter.h>

Inheritance diagram for TBackCompFitter:
[legend]

Member Enumeration Documentation

◆ EStatusBits

Enumerator
kCanDeleteLast 

Definition at line 52 of file TBackCompFitter.h.

Constructor & Destructor Documentation

◆ TBackCompFitter() [1/2]

TBackCompFitter::TBackCompFitter ( )

Constructor needed by TVirtualFitter interface.

Same behavior as default constructor. initialize setting name and the global pointer

Definition at line 77 of file TBackCompFitter.cxx.

◆ TBackCompFitter() [2/2]

TBackCompFitter::TBackCompFitter ( const std::shared_ptr< ROOT::Fit::Fitter > &  fitter,
const std::shared_ptr< ROOT::Fit::FitData > &  data 
)

Constructor used after having fit using directly ROOT::Fit::Fitter will create a dummy fitter copying configuration and parameter settings.

Definition at line 89 of file TBackCompFitter.cxx.

◆ ~TBackCompFitter()

TBackCompFitter::~TBackCompFitter ( )
override

Destructor - delete the managed objects.

Definition at line 102 of file TBackCompFitter.cxx.

Member Function Documentation

◆ Chisquare()

Double_t TBackCompFitter::Chisquare ( Int_t  npar,
Double_t params 
) const
overridevirtual

Do chisquare calculations in case of likelihood fits Do evaluation a the minimum only.

Implements TVirtualFitter.

Definition at line 112 of file TBackCompFitter.cxx.

◆ Class()

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

◆ Class_Name()

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

◆ Class_Version()

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

Definition at line 143 of file TBackCompFitter.h.

◆ Clear()

void TBackCompFitter::Clear ( Option_t option = "")
overridevirtual

Clear resources for consecutive fits.

Implements TVirtualFitter.

Definition at line 129 of file TBackCompFitter.cxx.

◆ Contour()

bool TBackCompFitter::Contour ( unsigned int  ipar,
unsigned int  jpar,
TGraph gr,
double  confLevel = 0.683 
)

Create a 2D contour around the minimum for the parameter ipar and jpar if a minimum does not exist or is invalid it will return false on exit a TGraph is filled with the contour points the number of contour points is determined by the size of the TGraph.

if the size is zero a default number of points = 20 is used pass optionally the confidence level, default is 0.683 it is assumed that ErrorDef() defines the right error definition (i.e 1 sigma error for one parameter). If not the confidence level are scaled to new level

Definition at line 852 of file TBackCompFitter.cxx.

◆ DeclFileName()

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

Definition at line 143 of file TBackCompFitter.h.

◆ DoSetDimension()

void TBackCompFitter::DoSetDimension ( )
protected

Private method to set dimension in objective function.

Definition at line 754 of file TBackCompFitter.cxx.

◆ ExecuteCommand()

Int_t TBackCompFitter::ExecuteCommand ( const char *  command,
Double_t args,
Int_t  nargs 
)
overridevirtual

Execute the command (Fortran Minuit compatible interface)

Implements TVirtualFitter.

Definition at line 136 of file TBackCompFitter.cxx.

◆ FixParameter()

void TBackCompFitter::FixParameter ( Int_t  ipar)
overridevirtual

Fix the parameter.

Implements TVirtualFitter.

Definition at line 317 of file TBackCompFitter.cxx.

◆ GetConfidenceIntervals() [1/2]

void TBackCompFitter::GetConfidenceIntervals ( Int_t  n,
Int_t  ndim,
const Double_t x,
Double_t ci,
Double_t  cl = 0.95 
)
overridevirtual

Computes point-by-point confidence intervals for the fitted function.

Parameters
nnumber of points
ndimdimensions of points
xpoints, at which to compute the intervals, for ndim > 1 should be in order: (x0,y0, x1, y1, ... xn, yn)
cicomputed intervals are returned in this array
clconfidence level, default=0.95

NOTE, that the intervals are approximate for nonlinear(in parameters) models

Reimplemented from TVirtualFitter.

Definition at line 333 of file TBackCompFitter.cxx.

◆ GetConfidenceIntervals() [2/2]

void TBackCompFitter::GetConfidenceIntervals ( TObject obj,
Double_t  cl = 0.95 
)
overridevirtual

Computes confidence intervals at level cl.

Default is 0.95 The TObject parameter can be a TGraphErrors, a TGraph2DErrors or a TH1,2,3. For Graphs, confidence intervals are computed for each point, the value of the graph at that point is set to the function value at that point, and the graph y-errors (or z-errors) are set to the value of the confidence interval at that point. For Histograms, confidence intervals are computed for each bin center The bin content of this bin is then set to the function value at the bin center, and the bin error is set to the confidence interval value. NOTE: confidence intervals are approximate for nonlinear models!

Allowed combinations:

Fitted object Passed object
TGraph TGraphErrors, TH1
TGraphErrors, AsymmErrors TGraphErrors, TH1
TH1 TGraphErrors, TH1
TGraph2D TGraph2DErrors, TH2
TGraph2DErrors TGraph2DErrors, TH2
TH2 TGraph2DErrors, TH2
TH3 TH3

Reimplemented from TVirtualFitter.

Definition at line 368 of file TBackCompFitter.cxx.

◆ GetCovarianceMatrix()

Double_t * TBackCompFitter::GetCovarianceMatrix ( ) const
overridevirtual

Get the error matrix in a pointer to a NxN array.

excluding the fixed parameters

Implements TVirtualFitter.

Definition at line 467 of file TBackCompFitter.cxx.

◆ GetCovarianceMatrixElement()

Double_t TBackCompFitter::GetCovarianceMatrixElement ( Int_t  i,
Int_t  j 
) const
overridevirtual

Get error matrix element (return all zero if matrix is not available)

Implements TVirtualFitter.

Definition at line 498 of file TBackCompFitter.cxx.

◆ GetErrors()

Int_t TBackCompFitter::GetErrors ( Int_t  ipar,
Double_t eplus,
Double_t eminus,
Double_t eparab,
Double_t globcc 
) const
overridevirtual

Get fit errors.

Implements TVirtualFitter.

Definition at line 511 of file TBackCompFitter.cxx.

◆ GetFitConfig()

ROOT::Fit::FitConfig & TBackCompFitter::GetFitConfig ( )
inline

Get reference to Fit configuration (NOTE: it will be invalid when class is deleted)

Definition at line 91 of file TBackCompFitter.h.

◆ GetFitData()

const ROOT::Fit::FitData & TBackCompFitter::GetFitData ( ) const
inline

Get reference to Fit Data object (NOTE: it will be invalid when class is deleted)

Definition at line 100 of file TBackCompFitter.h.

◆ GetFitResult()

const ROOT::Fit::FitResult & TBackCompFitter::GetFitResult ( ) const
inline

Get reference to Fit Result object (NOTE: it will be invalid when class is deleted)

Definition at line 94 of file TBackCompFitter.h.

◆ GetMinimizer()

ROOT::Math::Minimizer * TBackCompFitter::GetMinimizer ( ) const

Return a pointer to the minimizer.

the return pointer will be valid after fitting and as long a new fit will not be done. For keeping a minimizer pointer the method ReCreateMinimizer() could eventually be used

Definition at line 779 of file TBackCompFitter.cxx.

◆ GetNumberFreeParameters()

Int_t TBackCompFitter::GetNumberFreeParameters ( ) const
overridevirtual

Implements TVirtualFitter.

Definition at line 533 of file TBackCompFitter.cxx.

◆ GetNumberTotalParameters()

Int_t TBackCompFitter::GetNumberTotalParameters ( ) const
overridevirtual

Number of total parameters.

Implements TVirtualFitter.

Definition at line 530 of file TBackCompFitter.cxx.

◆ GetObjFunction()

ROOT::Math::IMultiGenFunction * TBackCompFitter::GetObjFunction ( ) const

Return a pointer to the objective function (FCN) If fitting directly using TBackCompFitter the pointer is managed by the class, which has been set previously when calling SetObjFunction or SetFCN Otherwise if the class is used in the backward compatible mode (e.g.

after having fitted a TH1) the return pointer will be valid after fitting and as long a new fit will not be done.

Definition at line 769 of file TBackCompFitter.cxx.

◆ GetParameter() [1/2]

Double_t TBackCompFitter::GetParameter ( Int_t  ipar) const
overridevirtual

Parameter value.

Implements TVirtualFitter.

Definition at line 552 of file TBackCompFitter.cxx.

◆ GetParameter() [2/2]

Int_t TBackCompFitter::GetParameter ( Int_t  ipar,
char *  name,
Double_t value,
Double_t verr,
Double_t vlow,
Double_t vhigh 
) const
overridevirtual

Get all parameter info (name, value, errors)

Implements TVirtualFitter.

Definition at line 563 of file TBackCompFitter.cxx.

◆ GetParError()

Double_t TBackCompFitter::GetParError ( Int_t  ipar) const
overridevirtual

Parameter error.

Implements TVirtualFitter.

Definition at line 541 of file TBackCompFitter.cxx.

◆ GetParName()

const char * TBackCompFitter::GetParName ( Int_t  ipar) const
overridevirtual

Return name of parameter ipar.

Implements TVirtualFitter.

Definition at line 590 of file TBackCompFitter.cxx.

◆ GetStats()

Int_t TBackCompFitter::GetStats ( Double_t amin,
Double_t edm,
Double_t errdef,
Int_t nvpar,
Int_t nparx 
) const
overridevirtual

Get fit statistical information.

Implements TVirtualFitter.

Definition at line 600 of file TBackCompFitter.cxx.

◆ GetSumLog()

Double_t TBackCompFitter::GetSumLog ( Int_t  i)
overridevirtual

Sum of log (un-needed)

Implements TVirtualFitter.

Definition at line 613 of file TBackCompFitter.cxx.

◆ GetTFitResult()

TFitResult * TBackCompFitter::GetTFitResult ( ) const

Get a copy of the Fit result returning directly a new TFitResult.

Return a new copy of the TFitResult object which needs to be deleted later by the user.

Definition at line 787 of file TBackCompFitter.cxx.

◆ IsA()

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

Reimplemented from TObject.

Definition at line 143 of file TBackCompFitter.h.

◆ IsFixed()

Bool_t TBackCompFitter::IsFixed ( Int_t  ipar) const
overridevirtual

Query if parameter ipar is fixed.

Implements TVirtualFitter.

Definition at line 621 of file TBackCompFitter.cxx.

◆ PrintResults()

void TBackCompFitter::PrintResults ( Int_t  level,
Double_t  amin 
) const
overridevirtual

Print the fit result.

Use PrintResults function in case of Minuit for old -style printing

Implements TVirtualFitter.

Definition at line 632 of file TBackCompFitter.cxx.

◆ ReCreateMinimizer()

void TBackCompFitter::ReCreateMinimizer ( )

Recreate a minimizer instance using the function and data set objective function in minimizers function to re-create FCN from stored data object and fit options.

Definition at line 688 of file TBackCompFitter.cxx.

◆ ReleaseParameter()

void TBackCompFitter::ReleaseParameter ( Int_t  ipar)
overridevirtual

Release a fit parameter.

Implements TVirtualFitter.

Definition at line 645 of file TBackCompFitter.cxx.

◆ Scan()

bool TBackCompFitter::Scan ( unsigned int  ipar,
TGraph gr,
double  xmin = 0,
double  xmax = 0 
)

Scan parameter ipar between value of xmin and xmax A graph must be given which will be on return filled with the scan resul If the graph size is zero, a default size n = 40 will be used.

Definition at line 797 of file TBackCompFitter.cxx.

◆ SetFCN()

void TBackCompFitter::SetFCN ( void(*)(Int_t &, Double_t *, Double_t &f, Double_t *, Int_t fcn)
overridevirtual

Override setFCN to use the Adapter to Minuit2 FCN interface To set the address of the minimization function.

Reimplemented from TVirtualFitter.

Definition at line 732 of file TBackCompFitter.cxx.

◆ SetFitMethod()

void TBackCompFitter::SetFitMethod ( const char *  name)
overridevirtual

Set fit method (chi2 or likelihood).

According to the method the appropriate FCN function will be created

Implements TVirtualFitter.

Definition at line 654 of file TBackCompFitter.cxx.

◆ SetMethodCall()

virtual void TBackCompFitter::SetMethodCall ( TMethodCall m)
inlinevirtual

For using interpreted function passed by the user.

Definition at line 88 of file TBackCompFitter.h.

◆ SetObjFunction()

void TBackCompFitter::SetObjFunction ( ROOT::Math::IMultiGenFunction f)
virtual

Set the objective function for fitting Needed if fitting directly using TBackCompFitter class The class clones a copy of the function and manages it.

Definition at line 746 of file TBackCompFitter.cxx.

◆ SetParameter()

Int_t TBackCompFitter::SetParameter ( Int_t  ipar,
const char *  parname,
Double_t  value,
Double_t  verr,
Double_t  vlow,
Double_t  vhigh 
)
overridevirtual

Set (add) a new fit parameter passing initial value, step size (verr) and parameter limits if vlow > vhigh the parameter is unbounded if the stepsize (verr) == 0 the parameter is treated as fixed.

Implements TVirtualFitter.

Definition at line 663 of file TBackCompFitter.cxx.

◆ Streamer()

void TBackCompFitter::Streamer ( TBuffer R__b)
overridevirtual

Stream an object of class TObject.

Reimplemented from TObject.

◆ StreamerNVirtual()

void TBackCompFitter::StreamerNVirtual ( TBuffer ClassDef_StreamerNVirtual_b)
inline

Definition at line 143 of file TBackCompFitter.h.

◆ ValidParameterIndex()

bool TBackCompFitter::ValidParameterIndex ( int  ipar) const
protected

Check if ipar is a valid parameter index.

Definition at line 304 of file TBackCompFitter.cxx.

Member Data Documentation

◆ fCovar

std::vector<double> TBackCompFitter::fCovar
mutableprivate

Cached covariance matrix (NxN)

Definition at line 139 of file TBackCompFitter.h.

◆ fFitData

std::shared_ptr<ROOT::Fit::FitData> TBackCompFitter::fFitData
private

! Data of the fit

Definition at line 134 of file TBackCompFitter.h.

◆ fFitter

std::shared_ptr<ROOT::Fit::Fitter> TBackCompFitter::fFitter
private

! Pointer to fitter object

Definition at line 135 of file TBackCompFitter.h.

◆ fMinimizer

ROOT::Math::Minimizer* TBackCompFitter::fMinimizer
private

Definition at line 136 of file TBackCompFitter.h.

◆ fModelFunc

ROOT::Math::IParamMultiFunction* TBackCompFitter::fModelFunc
private

Definition at line 138 of file TBackCompFitter.h.

◆ fObjFunc

ROOT::Math::IMultiGenFunction* TBackCompFitter::fObjFunc
private

Definition at line 137 of file TBackCompFitter.h.

Libraries for TBackCompFitter:

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