Definition at line 32 of file RooMCStudy.h.

Public Member Functions
	RooMCStudy (const RooAbsPdf &model, const RooArgSet &observables, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())

	RooMCStudy (const RooAbsPdf &genModel, const RooAbsPdf &fitModel, const RooArgSet &dependents, const char genOptions="", const char fitOptions="", const RooDataSet *genProtoData=0, const RooArgSet &projDeps=RooArgSet())
	OBSOLETE, RETAINED FOR BACKWARD COMPATIBILY. More...

virtual	~RooMCStudy ()
	Destructor. More...

void	addModule (RooAbsMCStudyModule &module)
	Insert given RooMCStudy add-on module to the processing chain of this MCStudy object. More...

Bool_t	generateAndFit (Int_t nSamples, Int_t nEvtPerSample=0, Bool_t keepGenData=kFALSE, const char *asciiFilePat=0)
	Generate and fit 'nSamples' samples of 'nEvtPerSample' events. More...

Bool_t	generate (Int_t nSamples, Int_t nEvtPerSample=0, Bool_t keepGenData=kFALSE, const char *asciiFilePat=0)
	Generate 'nSamples' samples of 'nEvtPerSample' events. More...

Bool_t	fit (Int_t nSamples, const char *asciiFilePat)
	Fit 'nSamples' datasets, which are read from ASCII files. More...

Bool_t	fit (Int_t nSamples, TList &dataSetList)
	Fit 'nSamples' datasets, as supplied in 'dataSetList'. More...

Bool_t	addFitResult (const RooFitResult &fr)
	Utility function to add fit result from external fit to this RooMCStudy and process its results through the standard RooMCStudy statistics gathering tools. More...

const RooArgSet *	fitParams (Int_t sampleNum) const
	Return an argset with the fit parameters for the given sample number. More...

const RooFitResult *	fitResult (Int_t sampleNum) const
	Return the RooFitResult object of the fit to given sample. More...

const RooAbsData *	genData (Int_t sampleNum) const
	Return the given generated dataset. More...

const RooDataSet &	fitParDataSet ()
	Return a RooDataSet the resulting fit parameters of each toy cycle. More...

const RooDataSet *	genParDataSet () const

RooPlot *	plotParamOn (RooPlot *frame, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Plot the distribution of fitted values of a parameter. More...

RooPlot *	plotParam (const RooRealVar &param, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Plot the distribution of the fitted value of the given parameter on a newly created frame. More...

RooPlot *	plotParam (const char *paramName, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Plot the distribution of the fitted value of the given parameter on a newly created frame. More...

RooPlot *	plotNLL (const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Plot the distribution of the -log(L) values on a newly created frame. More...

RooPlot *	plotError (const RooRealVar &param, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Plot the distribution of the fit errors for the specified parameter on a newly created frame. More...

RooPlot *	plotPull (const RooRealVar &param, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Plot the distribution of pull values for the specified parameter on a newly created frame. More...

RooPlot *	plotNLL (Double_t lo, Double_t hi, Int_t nBins=100)
	Create a RooPlot of the -log(L) distribution in the range lo-hi with 'nBins' bins. More...

RooPlot *	plotError (const RooRealVar &param, Double_t lo, Double_t hi, Int_t nbins=100)
	Create a RooPlot of the distribution of the fitted errors of the given parameter. More...

RooPlot *	plotPull (const RooRealVar &param, Double_t lo=-3.0, Double_t hi=3.0, Int_t nbins=25, Bool_t fitGauss=kFALSE)
	Create a RooPlot of the pull distribution for the given parameter. More...

Public Member Functions inherited from TNamed
	TNamed ()

	TNamed (const char name, const char title)

	TNamed (const TString &name, const TString &title)

	TNamed (const TNamed &named)

TNamed &	operator= (const TNamed &rhs)
	TNamed assignment operator. More...

virtual	~TNamed ()

virtual void	Clear (Option_t *option="")
	Set name and title to empty strings (""). More...

virtual TObject *	Clone (const char *newname="") const
	Make a clone of an object using the Streamer facility. More...

virtual Int_t	Compare (const TObject *obj) const
	Compare two TNamed objects. More...

virtual void	Copy (TObject &named) const
	Copy this to obj. More...

virtual void	FillBuffer (char *&buffer)
	Encode TNamed into output buffer. More...

virtual const char *	GetName () const
	Returns name of object. More...

virtual const char *	GetTitle () const
	Returns title of object. More...

virtual ULong_t	Hash () const
	Return hash value for this object. More...

virtual Bool_t	IsSortable () const

virtual void	SetName (const char *name)
	Change (i.e. More...

virtual void	SetNameTitle (const char name, const char title)
	Change (i.e. set) all the TNamed parameters (name and title). More...

virtual void	SetTitle (const char *title="")
	Change (i.e. set) the title of the TNamed. More...

virtual void	ls (Option_t *option="") const
	List TNamed name and title. More...

virtual void	Print (Option_t *option="") const
	Print TNamed name and title. More...

virtual Int_t	Sizeof () const
	Return size of the TNamed part of the TObject. More...

Public Member Functions inherited from TObject
	TObject ()

	TObject (const TObject &object)
	TObject copy ctor. More...

TObject &	operator= (const TObject &rhs)
	TObject assignment operator. More...

virtual	~TObject ()
	TObject destructor. More...

virtual void	AppendPad (Option_t *option="")
	Append graphics object to current pad. More...

virtual void	Browse (TBrowser *b)
	Browse object. May be overridden for another default action. More...

virtual const char *	ClassName () const
	Returns name of class to which the object belongs. More...

virtual void	Delete (Option_t *option="")
	Delete this object. More...

virtual Int_t	DistancetoPrimitive (Int_t px, Int_t py)
	Computes distance from point (px,py) to the object. More...

virtual void	Draw (Option_t *option="")
	Default Draw method for all objects. More...

virtual void	DrawClass () const
	Draw class inheritance tree of the class to which this object belongs. More...

virtual TObject *	DrawClone (Option_t *option="") const
	Draw a clone of this object in the current pad. More...

virtual void	Dump () const
	Dump contents of object on stdout. More...

virtual void	Execute (const char method, const char params, Int_t *error=0)
	Execute method on this object with the given parameter string, e.g. More...

virtual void	Execute (TMethod method, TObjArray params, Int_t *error=0)
	Execute method on this object with parameters stored in the TObjArray. More...

virtual void	ExecuteEvent (Int_t event, Int_t px, Int_t py)
	Execute action corresponding to an event at (px,py). More...

virtual TObject *	FindObject (const char *name) const
	Must be redefined in derived classes. More...

virtual TObject *	FindObject (const TObject *obj) const
	Must be redefined in derived classes. More...

virtual Option_t *	GetDrawOption () const
	Get option used by the graphics system to draw this object. More...

virtual UInt_t	GetUniqueID () const
	Return the unique object id. More...

virtual const char *	GetIconName () const
	Returns mime type name of object. More...

virtual Option_t *	GetOption () const

virtual char *	GetObjectInfo (Int_t px, Int_t py) const
	Returns string containing info about the object at position (px,py). More...

virtual Bool_t	HandleTimer (TTimer *timer)
	Execute action in response of a timer timing out. More...

virtual Bool_t	InheritsFrom (const char *classname) const
	Returns kTRUE if object inherits from class "classname". More...

virtual Bool_t	InheritsFrom (const TClass *cl) const
	Returns kTRUE if object inherits from TClass cl. More...

virtual void	Inspect () const
	Dump contents of this object in a graphics canvas. More...

virtual Bool_t	IsFolder () const
	Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More...

virtual Bool_t	IsEqual (const TObject *obj) const
	Default equal comparison (objects are equal if they have the same address in memory). More...

Bool_t	IsOnHeap () const

Bool_t	IsZombie () const

virtual Bool_t	Notify ()
	This method must be overridden to handle object notification. More...

virtual void	Paint (Option_t *option="")
	This method must be overridden if a class wants to paint itself. More...

virtual void	Pop ()
	Pop on object drawn in a pad to the top of the display list. More...

virtual Int_t	Read (const char *name)
	Read contents of object with specified name from the current directory. More...

virtual void	RecursiveRemove (TObject *obj)
	Recursively remove this object from a list. More...

virtual void	SaveAs (const char filename="", Option_t option="") const
	Save this object in the file specified by filename. More...

virtual void	SavePrimitive (std::ostream &out, Option_t *option="")
	Save a primitive as a C++ statement(s) on output stream "out". More...

virtual void	SetDrawOption (Option_t *option="")
	Set drawing option for object. More...

virtual void	SetUniqueID (UInt_t uid)
	Set the unique object id. More...

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

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
	Write this object to the current directory. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
	Write this object to the current directory. More...

void *	operator new (size_t sz)

void *	operator new[] (size_t sz)

void *	operator new (size_t sz, void *vp)

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

void	operator delete (void *ptr)
	Operator delete. More...

void	operator delete[] (void *ptr)
	Operator delete []. More...

void	SetBit (UInt_t f, Bool_t set)
	Set or unset the user status bits as specified in f. More...

void	SetBit (UInt_t f)

void	ResetBit (UInt_t f)

Bool_t	TestBit (UInt_t f) const

Int_t	TestBits (UInt_t f) const

void	InvertBit (UInt_t f)

virtual void	Info (const char method, const char msgfmt,...) const
	Issue info message. More...

virtual void	Warning (const char method, const char msgfmt,...) const
	Issue warning message. More...

virtual void	Error (const char method, const char msgfmt,...) const
	Issue error message. More...

virtual void	SysError (const char method, const char msgfmt,...) const
	Issue system error message. More...

virtual void	Fatal (const char method, const char msgfmt,...) const
	Issue fatal error message. More...

void	AbstractMethod (const char *method) const
	Use this method to implement an "abstract" method that you don't want to leave purely abstract. More...

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). More...

void	Obsolete (const char method, const char asOfVers, const char *removedFromVers) const
	Use this method to declare a method obsolete. More...

Protected Member Functions
RooPlot *	makeFrameAndPlotCmd (const RooRealVar &param, RooLinkedList &cmdList, Bool_t symRange=kFALSE) const
	Internal function. More...

Bool_t	run (Bool_t generate, Bool_t fit, Int_t nSamples, Int_t nEvtPerSample, Bool_t keepGenData, const char *asciiFilePat)
	Run engine method. More...

Bool_t	fitSample (RooAbsData *genSample)
	Internal method. More...

RooFitResult *	doFit (RooAbsData *genSample)
	Internal function. Performs actual fit according to specifications. More...

void	calcPulls ()
	Calculate the pulls for all fit parameters in the fit results data set, and add them to that dataset. More...

RooFitResult *	refit (RooAbsData *genSample=0)
	Redo fit on 'current' toy sample, or if genSample is not NULL do fit on given sample instead. More...

void	resetFitParams ()
	Reset all fit parameters to the initial model parameters at the time of the RooMCStudy constructor. More...

Protected Member Functions inherited from TObject
void	MakeZombie ()

virtual void	DoError (int level, const char location, const char fmt, va_list va) const
	Interface to ErrorHandler (protected). More...

Protected Attributes
RooAbsData *	_genSample

RooAbsPdf *	_genModel

RooAbsGenContext *	_genContext

RooArgSet *	_genInitParams

RooArgSet *	_genParams

const RooDataSet *	_genProtoData

RooArgSet	_projDeps

RooAbsPdf *	_constrPdf

RooAbsGenContext *	_constrGenContext

RooArgSet	_dependents

RooArgSet	_allDependents

RooAbsPdf *	_fitModel

RooArgSet *	_fitInitParams

RooArgSet *	_fitParams

RooRealVar *	_nllVar

RooRealVar *	_ngenVar

TList	_genDataList

TList	_fitResList

RooDataSet *	_genParData

RooDataSet *	_fitParData

TString	_fitOptions

RooLinkedList	_fitOptList

Bool_t	_extendedGen

Bool_t	_binGenData

Double_t	_nExpGen

Bool_t	_randProto

Bool_t	_canAddFitResults

Bool_t	_verboseGen

Bool_t	_perExptGenParams

Bool_t	_silence

std::list< RooAbsMCStudyModule * >	_modList

Protected Attributes inherited from TNamed
TString	fName

TString	fTitle

Private Member Functions
	RooMCStudy (const RooMCStudy &)

Friends
class	RooAbsMCStudyModule

Additional Inherited Members
Public Types inherited from TObject
enum	EStatusBits { kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13) }

enum	{ kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff }

enum	{ kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) }

Static Public Member Functions inherited from TObject
static Long_t	GetDtorOnly ()
	Return destructor only flag. More...

static void	SetDtorOnly (void *obj)
	Set destructor only flag. More...

static Bool_t	GetObjectStat ()
	Get status of object stat flag. More...

static void	SetObjectStat (Bool_t stat)
	Turn on/off tracking of objects in the TObjectTable. More...

#include <RooMCStudy.h>

Inheritance diagram for RooMCStudy:

Collaboration diagram for RooMCStudy:

Constructor & Destructor Documentation

RooMCStudy::RooMCStudy	(	const RooAbsPdf &	model,
		const RooArgSet &	observables,
		const RooCmdArg &	arg1 = `RooCmdArg::none()`,
		const RooCmdArg &	arg2 = `RooCmdArg::none()`,
		const RooCmdArg &	arg3 = `RooCmdArg::none()`,
		const RooCmdArg &	arg4 = `RooCmdArg::none()`,
		const RooCmdArg &	arg5 = `RooCmdArg::none()`,
		const RooCmdArg &	arg6 = `RooCmdArg::none()`,
		const RooCmdArg &	arg7 = `RooCmdArg::none()`,
		const RooCmdArg &	arg8 = `RooCmdArg::none()`
	)

Definition at line 76 of file RooMCStudy.cxx.

RooMCStudy::RooMCStudy	(	const RooAbsPdf &	genModel,
		const RooAbsPdf &	fitModel,
		const RooArgSet &	dependents,
		const char *	genOptions = `""`,
		const char *	fitOptions = `""`,
		const RooDataSet *	genProtoData = `0`,
		const RooArgSet &	projDeps = `RooArgSet()`
	)

OBSOLETE, RETAINED FOR BACKWARD COMPATIBILY.

PLEASE USE CONSTRUCTOR WITH NAMED ARGUMENTS

Constructor with a generator and fit model. Both models may point to the same object. The 'dependents' set of variables is generated in the generator phase. The optional prototype dataset is passed to the generator

Available generator options v - Verbose e - Extended: use Poisson distribution for Nevts generated

Available fit options See RooAbsPdf::fitTo()

Definition at line 324 of file RooMCStudy.cxx.

RooMCStudy::~RooMCStudy ( )

virtual

Destructor.

Definition at line 417 of file RooMCStudy.cxx.

RooMCStudy::RooMCStudy ( const RooMCStudy & )

private

Member Function Documentation

Bool_t RooMCStudy::addFitResult ( const RooFitResult & fr )

Utility function to add fit result from external fit to this RooMCStudy and process its results through the standard RooMCStudy statistics gathering tools.

This function allows users to run the toy MC generation and/or fitting in a distributed way and to collect and analyze the results in a RooMCStudy as if they were run locally.

This method is only functional if this RooMCStudy object is cleanm, i.e. it was not used to generate and/or fit any samples.

Definition at line 875 of file RooMCStudy.cxx.

void RooMCStudy::addModule ( RooAbsMCStudyModule & module )

Insert given RooMCStudy add-on module to the processing chain of this MCStudy object.

Definition at line 440 of file RooMCStudy.cxx.

void RooMCStudy::calcPulls ( )

protected

Calculate the pulls for all fit parameters in the fit results data set, and add them to that dataset.

Definition at line 909 of file RooMCStudy.cxx.

Referenced by fitParDataSet(), plotError(), plotPull(), and run().

RooFitResult * RooMCStudy::doFit ( RooAbsData * genSample )

protected

Internal function. Performs actual fit according to specifications.

Definition at line 743 of file RooMCStudy.cxx.

Referenced by fitSample(), and refit().

Bool_t RooMCStudy::fit	(	Int_t	nSamples,
		const char *	asciiFilePat
	)

Fit 'nSamples' datasets, which are read from ASCII files.

The ascii file pattern, which is a template for snprintf, should look something like "data/toymc_%04d.dat" and should contain one integer field that encodes the sample serial number.

Definition at line 694 of file RooMCStudy.cxx.

Bool_t RooMCStudy::fit	(	Int_t	nSamples,
		TList &	dataSetList
	)

Fit 'nSamples' datasets, as supplied in 'dataSetList'.

Definition at line 709 of file RooMCStudy.cxx.

const RooArgSet * RooMCStudy::fitParams ( Int_t sampleNum ) const

Return an argset with the fit parameters for the given sample number.

NB: The fit parameters are only stored for successfull fits, thus the maximum sampleNum can be less that the number of generated samples and if so, the indeces will be out of synch with genData() and fitResult()

Definition at line 978 of file RooMCStudy.cxx.

const RooDataSet & RooMCStudy::fitParDataSet ( )

Return a RooDataSet the resulting fit parameters of each toy cycle.

This dataset also contains any additional output that was generated by study modules that were added to this RooMCStudy

Definition at line 958 of file RooMCStudy.cxx.

const RooFitResult * RooMCStudy::fitResult ( Int_t sampleNum ) const

Return the RooFitResult object of the fit to given sample.

Definition at line 994 of file RooMCStudy.cxx.

Bool_t RooMCStudy::fitSample ( RooAbsData * genSample )

protected

Internal method.

Fit given dataset with fit model. If fit converges (TMinuit status code zero) The fit results are appended to the fit results dataset

If the fit option "r" is supplied, the RooFitResult objects will always be saved, regardless of the fit status. RooFitResults objects can be retrieved later via fitResult().

Definition at line 821 of file RooMCStudy.cxx.

Referenced by run().

const RooAbsData * RooMCStudy::genData ( Int_t sampleNum ) const

Return the given generated dataset.

This method will only return datasets if during the run cycle it was indicated that generator data should be saved.

Definition at line 1019 of file RooMCStudy.cxx.

Bool_t RooMCStudy::generate	(	Int_t	nSamples,
		Int_t	nEvtPerSample = `0`,
		Bool_t	keepGenData = `kFALSE`,
		const char *	asciiFilePat = `0`
	)

Generate 'nSamples' samples of 'nEvtPerSample' events.

If keepGenData is set, all generated data sets will be kept in memory and can be accessed later via genData().

Data sets will be written out in ascii form if the pattern string is supplied. The pattern, which is a template for snprintf, should look something like "data/toymc_%04d.dat" and should contain one integer field that encodes the sample serial number.

Definition at line 677 of file RooMCStudy.cxx.

Bool_t RooMCStudy::generateAndFit	(	Int_t	nSamples,
		Int_t	nEvtPerSample = `0`,
		Bool_t	keepGenData = `kFALSE`,
		const char *	asciiFilePat = `0`
	)

Generate and fit 'nSamples' samples of 'nEvtPerSample' events.

If keepGenData is set, all generated data sets will be kept in memory and can be accessed later via genData().

Data sets will be written out is ascii form if the pattern string is supplied. The pattern, which is a template for snprintf, should look something like "data/toymc_%04d.dat" and should contain one integer field that encodes the sample serial number.

Definition at line 655 of file RooMCStudy.cxx.

const RooDataSet* RooMCStudy::genParDataSet ( ) const

inline

Definition at line 62 of file RooMCStudy.h.

RooPlot * RooMCStudy::makeFrameAndPlotCmd	(	const RooRealVar &	param,
		RooLinkedList &	cmdList,
		Bool_t	symRange = `kFALSE`
	)		const

protected

Internal function.

Construct RooPlot from given parameter and modify the list of named arguments 'cmdList' to only contain the plot arguments that should be forwarded to RooAbsData::plotOn()

Definition at line 1239 of file RooMCStudy.cxx.

Referenced by plotParam(), and plotPull().

RooPlot * RooMCStudy::plotError	(	const RooRealVar &	param,
		const RooCmdArg &	arg1 = `RooCmdArg::none()`,
		const RooCmdArg &	arg2 = `RooCmdArg::none()`,
		const RooCmdArg &	arg3 = `RooCmdArg::none()`,
		const RooCmdArg &	arg4 = `RooCmdArg::none()`,
		const RooCmdArg &	arg5 = `RooCmdArg::none()`,
		const RooCmdArg &	arg6 = `RooCmdArg::none()`,
		const RooCmdArg &	arg7 = `RooCmdArg::none()`,
		const RooCmdArg &	arg8 = `RooCmdArg::none()`
	)

Plot the distribution of the fit errors for the specified parameter on a newly created frame.

This function accepts the following optional arguments FrameRange(double lo, double hi) – Set range of frame to given specification FrameBins(int bins) – Set default number of bins of frame to given number Frame(...) – Pass supplied named arguments to RooAbsRealLValue::frame() function. See frame() function for list of allowed arguments

If no frame specifications are given, the AutoRange() feature will be used to set the range Any other named argument is passed to the RooAbsData::plotOn() call. See that function for allowed options

Definition at line 1151 of file RooMCStudy.cxx.

RooPlot * RooMCStudy::plotError	(	const RooRealVar &	param,
		Double_t	lo,
		Double_t	hi,
		Int_t	nbins = `100`
	)

Create a RooPlot of the distribution of the fitted errors of the given parameter.

The frame is created with a range [lo,hi] and plotted data will be binned in 'nbins' bins

Definition at line 1309 of file RooMCStudy.cxx.

RooPlot * RooMCStudy::plotNLL	(	const RooCmdArg &	arg1 = `RooCmdArg::none()`,
		const RooCmdArg &	arg2 = `RooCmdArg::none()`,
		const RooCmdArg &	arg3 = `RooCmdArg::none()`,
		const RooCmdArg &	arg4 = `RooCmdArg::none()`,
		const RooCmdArg &	arg5 = `RooCmdArg::none()`,
		const RooCmdArg &	arg6 = `RooCmdArg::none()`,
		const RooCmdArg &	arg7 = `RooCmdArg::none()`,
		const RooCmdArg &	arg8 = `RooCmdArg::none()`
	)

Plot the distribution of the -log(L) values on a newly created frame.

This function accepts the following optional arguments FrameRange(double lo, double hi) – Set range of frame to given specification FrameBins(int bins) – Set default number of bins of frame to given number Frame(...) – Pass supplied named arguments to RooAbsRealLValue::frame() function. See frame() function for list of allowed arguments

If no frame specifications are given, the AutoRange() feature will be used to set the range Any other named argument is passed to the RooAbsData::plotOn() call. See that function for allowed options

Definition at line 1129 of file RooMCStudy.cxx.

RooPlot * RooMCStudy::plotNLL	(	Double_t	lo,
		Double_t	hi,
		Int_t	nBins = `100`
	)

Create a RooPlot of the -log(L) distribution in the range lo-hi with 'nBins' bins.

Definition at line 1295 of file RooMCStudy.cxx.

RooPlot * RooMCStudy::plotParam	(	const RooRealVar &	param,
		const RooCmdArg &	arg1 = `RooCmdArg::none()`,
		const RooCmdArg &	arg2 = `RooCmdArg::none()`,
		const RooCmdArg &	arg3 = `RooCmdArg::none()`,
		const RooCmdArg &	arg4 = `RooCmdArg::none()`,
		const RooCmdArg &	arg5 = `RooCmdArg::none()`,
		const RooCmdArg &	arg6 = `RooCmdArg::none()`,
		const RooCmdArg &	arg7 = `RooCmdArg::none()`,
		const RooCmdArg &	arg8 = `RooCmdArg::none()`
	)

Plot the distribution of the fitted value of the given parameter on a newly created frame.

This function accepts the following optional arguments FrameRange(double lo, double hi) – Set range of frame to given specification FrameBins(int bins) – Set default number of bins of frame to given number Frame(...) – Pass supplied named arguments to RooAbsRealLValue::frame() function. See frame() function for list of allowed arguments

If no frame specifications are given, the AutoRange() feature will be used to set the range Any other named argument is passed to the RooAbsData::plotOn() call. See that function for allowed options

Definition at line 1097 of file RooMCStudy.cxx.

Referenced by plotError(), plotNLL(), and plotParam().

RooPlot * RooMCStudy::plotParam	(	const char *	paramName,
		const RooCmdArg &	arg1 = `RooCmdArg::none()`,
		const RooCmdArg &	arg2 = `RooCmdArg::none()`,
		const RooCmdArg &	arg3 = `RooCmdArg::none()`,
		const RooCmdArg &	arg4 = `RooCmdArg::none()`,
		const RooCmdArg &	arg5 = `RooCmdArg::none()`,
		const RooCmdArg &	arg6 = `RooCmdArg::none()`,
		const RooCmdArg &	arg7 = `RooCmdArg::none()`,
		const RooCmdArg &	arg8 = `RooCmdArg::none()`
	)

Plot the distribution of the fitted value of the given parameter on a newly created frame.

This function accepts the following optional arguments FrameRange(double lo, double hi) – Set range of frame to given specification FrameBins(int bins) – Set default number of bins of frame to given number Frame(...) – Pass supplied named arguments to RooAbsRealLValue::frame() function. See frame() function for list of allowed arguments

If no frame specifications are given, the AutoRange() feature will be used to set the range Any other named argument is passed to the RooAbsData::plotOn() call. See that function for allowed options

Definition at line 1068 of file RooMCStudy.cxx.

RooPlot * RooMCStudy::plotParamOn	(	RooPlot *	frame,
		const RooCmdArg &	arg1 = `RooCmdArg::none()`,
		const RooCmdArg &	arg2 = `RooCmdArg::none()`,
		const RooCmdArg &	arg3 = `RooCmdArg::none()`,
		const RooCmdArg &	arg4 = `RooCmdArg::none()`,
		const RooCmdArg &	arg5 = `RooCmdArg::none()`,
		const RooCmdArg &	arg6 = `RooCmdArg::none()`,
		const RooCmdArg &	arg7 = `RooCmdArg::none()`,
		const RooCmdArg &	arg8 = `RooCmdArg::none()`
	)

Plot the distribution of fitted values of a parameter.

The parameter shown is the one from which the RooPlot was created, e.g.

RooPlot* frame = param.frame(100,-10,10) ; mcstudy.paramOn(frame,LineStyle(kDashed)) ;

Any named arguments passed to plotParamOn() are forwarded to the underlying plotOn() call

Definition at line 1047 of file RooMCStudy.cxx.

RooPlot * RooMCStudy::plotPull	(	const RooRealVar &	param,
		const RooCmdArg &	arg1,
		const RooCmdArg &	arg2 = `RooCmdArg::none()`,
		const RooCmdArg &	arg3 = `RooCmdArg::none()`,
		const RooCmdArg &	arg4 = `RooCmdArg::none()`,
		const RooCmdArg &	arg5 = `RooCmdArg::none()`,
		const RooCmdArg &	arg6 = `RooCmdArg::none()`,
		const RooCmdArg &	arg7 = `RooCmdArg::none()`,
		const RooCmdArg &	arg8 = `RooCmdArg::none()`
	)

Plot the distribution of pull values for the specified parameter on a newly created frame.

If asymmetric errors are calculated in the fit (by MINOS) those will be used in the pull calculation

This function accepts the following optional arguments FrameRange(double lo, double hi) – Set range of frame to given specification FrameBins(int bins) – Set default number of bins of frame to given number Frame(...) – Pass supplied named arguments to RooAbsRealLValue::frame() function. See frame() function for list of allowed arguments FitGauss(Bool_t flag) – Add a gaussian fit to the frame

If no frame specifications are given, the AutoSymRange() feature will be used to set the range Any other named argument is passed to the RooAbsData::plotOn() call. See that function for allowed options

Definition at line 1185 of file RooMCStudy.cxx.

RooPlot * RooMCStudy::plotPull	(	const RooRealVar &	param,
		Double_t	lo = `-3.0`,
		Double_t	hi = `3.0`,
		Int_t	nbins = `25`,
		Bool_t	fitGauss = `kFALSE`
	)

Create a RooPlot of the pull distribution for the given parameter.

The range lo-hi is plotted in nbins. If fitGauss is set, an unbinned ML fit of the distribution to a Gaussian p.d.f is performed. The fit result is overlaid on the returned RooPlot and a box with the fitted mean and sigma is added.

Definition at line 1333 of file RooMCStudy.cxx.

RooFitResult * RooMCStudy::refit ( RooAbsData * genSample = 0 )

protected

Redo fit on 'current' toy sample, or if genSample is not NULL do fit on given sample instead.

Definition at line 794 of file RooMCStudy.cxx.

Referenced by RooAbsMCStudyModule::refit().

void RooMCStudy::resetFitParams ( )

protected

Reset all fit parameters to the initial model parameters at the time of the RooMCStudy constructor.

Definition at line 733 of file RooMCStudy.cxx.

Referenced by fitSample().

Bool_t RooMCStudy::run	(	Bool_t	doGenerate,
		Bool_t	DoFit,
		Int_t	nSamples,
		Int_t	nEvtPerSample,
		Bool_t	keepGenData,
		const char *	asciiFilePat
	)

protected

Run engine method.

Generate and/or fit, according to flags, 'nSamples' samples of 'nEvtPerSample' events. If keepGenData is set, all generated data sets will be kept in memory and can be accessed later via genData().

When generating, data sets will be written out in ascii form if the pattern string is supplied The pattern, which is a template for snprintf, should look something like "data/toymc_%04d.dat" and should contain one integer field that encodes the sample serial number.

When fitting only, data sets may optionally be read from ascii files, using the same file pattern.

Definition at line 461 of file RooMCStudy.cxx.

Referenced by fit(), generate(), and generateAndFit().