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class RooAbsReal: public RooAbsArg



RooAbsReal is the common abstract base class for objects that represent a real value and implements functionality common to all real-valued objects such as the ability to plot them, to construct integrals of them, the ability to advertise (partial) analytical integrals etc.. Implementation of RooAbsReal may be derived, thus no interface is provided to modify the contents.

Function Members (Methods)

 
    This is an abstract class, constructors will not be documented.
    Look at the header to check for available constructors.

public:
virtual~RooAbsReal()
voidTObject::AbstractMethod(const char* method) const
Bool_tRooAbsArg::addOwnedComponents(const RooArgSet& comps)
voidRooAbsArg::addParameters(RooArgSet& params, const RooArgSet* nset = 0, Bool_t stripDisconnected = kTRUE) const
voidRooAbsArg::addServer(RooAbsArg& server, Bool_t valueProp = kTRUE, Bool_t shapeProp = kFALSE)
voidRooAbsArg::addServerList(RooAbsCollection& serverList, Bool_t valueProp = kTRUE, Bool_t shapeProp = kFALSE)
const char*RooAbsArg::aggregateCacheUniqueSuffix() const
virtual Double_tanalyticalIntegral(Int_t code, const char* rangeName = 0) const
virtual Double_tanalyticalIntegralWN(Int_t code, const RooArgSet* normSet, const char* rangeName = 0) const
virtual voidTObject::AppendPad(Option_t* option = "")
TF1*asTF(const RooArgList& obs, const RooArgList& pars = RooArgList(), const RooArgSet& nset = RooArgSet()) const
voidRooAbsArg::attachDataSet(const RooAbsData& set)
voidRooAbsArg::attachDataStore(const RooAbsDataStore& set)
const set<std::string>&RooAbsArg::attributes() const
virtual list<Double_t>*binBoundaries(RooAbsRealLValue&, Double_t, Double_t) const
RooAbsFunc*bindVars(const RooArgSet& vars, const RooArgSet* nset = 0, Bool_t clipInvalid = kFALSE) const
voidRooAbsArg::branchNodeServerList(RooAbsCollection* list, const RooAbsArg* arg = 0, Bool_t recurseNonDerived = kFALSE) const
virtual voidTObject::Browse(TBrowser* b)
virtual const char*RooAbsArg::cacheUniqueSuffix() const
virtual RooAbsArg::CacheModeRooAbsArg::canNodeBeCached() const
voidRooAbsArg::changeServer(RooAbsArg& server, Bool_t valueProp, Bool_t shapeProp)
Bool_tRooAbsArg::checkDependents(const RooArgSet* nset) const
virtual Bool_tRooAbsArg::checkObservables(const RooArgSet* nset) const
virtual RooFitResult*chi2FitTo(RooDataHist& data, const RooLinkedList& cmdList)
virtual RooFitResult*chi2FitTo(RooDataSet& xydata, const RooLinkedList& cmdList)
virtual RooFitResult*chi2FitTo(RooDataHist& data, 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())
virtual RooFitResult*chi2FitTo(RooDataSet& xydata, 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())
static TClass*Class()
virtual const char*TObject::ClassName() const
virtual voidTNamed::Clear(Option_t* option = "")
static voidclearEvalErrorLog()
voidRooAbsArg::clearShapeDirty() const
voidRooAbsArg::clearValueAndShapeDirty() const
voidRooAbsArg::clearValueDirty() const
TIterator*RooAbsArg::clientIterator() const
virtual TObject*RooAbsArg::clone(const char* newname = 0) const
virtual TObject*RooAbsArg::Clone(const char* newname = 0) const
virtual RooAbsArg*RooAbsArg::cloneTree(const char* newname = 0) const
virtual Int_tRooAbsArg::Compare(const TObject* other) const
virtual voidRooAbsArg::constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, Bool_t doAlsoTrackingOpt = kTRUE)
virtual voidTNamed::Copy(TObject& named) const
static UInt_tRooAbsArg::crc32(const char* data)
static UInt_tRooAbsArg::crc32(const char* data, ULong_t sz, UInt_t crc = 0)
virtual RooAbsReal*createChi2(RooDataHist& data, const RooLinkedList& cmdList)
virtual RooAbsReal*createChi2(RooDataSet& data, const RooLinkedList& cmdList)
virtual RooAbsReal*createChi2(RooDataHist& data, 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())
virtual RooAbsReal*createChi2(RooDataSet& data, 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())
virtual RooAbsArg*createFundamental(const char* newname = 0) const
TH1*createHistogram(const char* name, const RooAbsRealLValue& xvar, RooLinkedList& argList) const
TH1*createHistogram(const char* varNameList, Int_t xbins = 0, Int_t ybins = 0, Int_t zbins = 0) const
TH1*createHistogram(const char* name, const RooAbsRealLValue& xvar, 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()) const
RooAbsReal*createIntegral(const RooArgSet& iset, const char* rangeName) const
RooAbsReal*createIntegral(const RooArgSet& iset, const RooArgSet& nset, const char* rangeName = 0) const
RooAbsReal*createIntegral(const RooArgSet& iset, const RooNumIntConfig& cfg, const char* rangeName = 0) const
RooAbsReal*createIntegral(const RooArgSet& iset, const RooArgSet& nset, const RooNumIntConfig& cfg, const char* rangeName = 0) const
virtual RooAbsReal*createIntegral(const RooArgSet& iset, const RooArgSet* nset = 0, const RooNumIntConfig* cfg = 0, const char* rangeName = 0) const
RooAbsReal*createIntegral(const RooArgSet& iset, 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()) const
RooAbsReal*createIntRI(const RooArgSet& iset, const RooArgSet& nset = RooArgSet())
const RooAbsReal*createPlotProjection(const RooArgSet& depVars, const RooArgSet& projVars) const
const RooAbsReal*createPlotProjection(const RooArgSet& depVars, const RooArgSet& projVars, RooArgSet*& cloneSet) const
const RooAbsReal*createPlotProjection(const RooArgSet& dependentVars, const RooArgSet* projectedVars, RooArgSet*& cloneSet, const char* rangeName = 0, const RooArgSet* condObs = 0) const
virtual RooAbsReal*createProfile(const RooArgSet& paramsOfInterest)
RooAbsReal*createRunningIntegral(const RooArgSet& iset, const RooArgSet& nset = RooArgSet())
RooAbsReal*createRunningIntegral(const RooArgSet& iset, 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())
RooAbsReal*createScanRI(const RooArgSet& iset, const RooArgSet& nset, Int_t numScanBins, Int_t intOrder)
virtual Double_tdefaultErrorLevel() const
static RooNumIntConfig*defaultIntegratorConfig()
virtual Int_tRooAbsArg::defaultPrintContents(Option_t* opt) const
static ostream&RooPrintable::defaultPrintStream(ostream* os = 0)
virtual RooPrintable::StyleOptionRooPrintable::defaultPrintStyle(Option_t* opt) const
virtual voidTObject::Delete(Option_t* option = "")MENU
Bool_tRooAbsArg::dependentOverlaps(const RooAbsData* dset, const RooAbsArg& testArg) const
Bool_tRooAbsArg::dependentOverlaps(const RooArgSet* depList, const RooAbsArg& testArg) const
Bool_tRooAbsArg::dependsOn(const RooAbsCollection& serverList, const RooAbsArg* ignoreArg = 0, Bool_t valueOnly = kFALSE) const
Bool_tRooAbsArg::dependsOn(const RooAbsArg& server, const RooAbsArg* ignoreArg = 0, Bool_t valueOnly = kFALSE) const
Bool_tRooAbsArg::dependsOnValue(const RooAbsCollection& serverList, const RooAbsArg* ignoreArg = 0) const
Bool_tRooAbsArg::dependsOnValue(const RooAbsArg& server, const RooAbsArg* ignoreArg = 0) const
RooDerivative*derivative(RooRealVar& obs, Int_t order = 1, Double_t eps = 0.001)
RooDerivative*derivative(RooRealVar& obs, const RooArgSet& normSet, Int_t order, Double_t eps = 0.001)
virtual Int_tTObject::DistancetoPrimitive(Int_t px, Int_t py)
virtual voidTObject::Draw(Option_t* option = "")
virtual voidTObject::DrawClass() constMENU
virtual TObject*TObject::DrawClone(Option_t* option = "") constMENU
virtual voidTObject::Dump() constMENU
virtual voidenableOffsetting(Bool_t)
virtual voidTObject::Error(const char* method, const char* msgfmt) const
static RooAbsReal::EvalErrorIterevalErrorIter()
static RooAbsReal::ErrorLoggingModeevalErrorLoggingMode()
virtual voidTObject::Execute(const char* method, const char* params, Int_t* error = 0)
virtual voidTObject::Execute(TMethod* method, TObjArray* params, Int_t* error = 0)
virtual voidTObject::ExecuteEvent(Int_t event, Int_t px, Int_t py)
RooExpensiveObjectCache&RooAbsArg::expensiveObjectCache() const
virtual voidTObject::Fatal(const char* method, const char* msgfmt) const
virtual voidTNamed::FillBuffer(char*& buffer)
RooDataHist*fillDataHist(RooDataHist* hist, const RooArgSet* nset, Double_t scaleFactor, Bool_t correctForBinVolume = kFALSE, Bool_t showProgress = kFALSE) const
TH1*fillHistogram(TH1* hist, const RooArgList& plotVars, Double_t scaleFactor = 1, const RooArgSet* projectedVars = 0, Bool_t scaling = kTRUE, const RooArgSet* condObs = 0, Bool_t setError = kTRUE) const
Bool_tRooAbsArg::findConstantNodes(const RooArgSet& observables, RooArgSet& cacheList)
Bool_tRooAbsArg::findConstantNodes(const RooArgSet& observables, RooArgSet& cacheList, RooLinkedList& processedNodes)
RooAbsArg*RooAbsArg::findNewServer(const RooAbsCollection& newSet, Bool_t nameChange) const
virtual TObject*TObject::FindObject(const char* name) const
virtual TObject*TObject::FindObject(const TObject* obj) const
Double_tfindRoot(RooRealVar& x, Double_t xmin, Double_t xmax, Double_t yval)
RooAbsArg*RooAbsArg::findServer(const char* name) const
RooAbsArg*RooAbsArg::findServer(const RooAbsArg& arg) const
RooAbsArg*RooAbsArg::findServer(Int_t index) const
virtual voidfixAddCoefNormalization(const RooArgSet& addNormSet = RooArgSet(), Bool_t force = kTRUE)
virtual voidfixAddCoefRange(const char* rangeName = 0, Bool_t force = kTRUE)
static UInt_tRooAbsArg::fnv1a32(const char* data)
static UInt_tRooAbsArg::fnv1a32(const char* data, ULong_t sz, UInt_t hash = fnv1a32start)
static ULong64_tRooAbsArg::fnv1a64(const char* data)
static ULong64_tRooAbsArg::fnv1a64(const char* data, ULong_t sz, ULong64_t hash = fnv1a64start)
virtual Bool_tforceAnalyticalInt(const RooAbsArg&) const
virtual voidforceNumInt(Bool_t flag = kTRUE)
RooFunctor*functor(const RooArgList& obs, const RooArgList& pars = RooArgList(), const RooArgSet& nset = RooArgSet()) const
virtual Int_tgetAnalyticalIntegral(RooArgSet& allVars, RooArgSet& analVars, const char* rangeName = 0) const
virtual Int_tgetAnalyticalIntegralWN(RooArgSet& allVars, RooArgSet& analVars, const RooArgSet* normSet, const char* rangeName = 0) const
Bool_tRooAbsArg::getAttribute(const Text_t* name) const
RooAbsCache*RooAbsArg::getCache(Int_t index) const
RooLinkedListRooAbsArg::getCloningAncestors() const
RooArgSet*RooAbsArg::getComponents() const
RooArgSet*RooAbsArg::getDependents(const RooArgSet& set) const
RooArgSet*RooAbsArg::getDependents(const RooAbsData* set) const
RooArgSet*RooAbsArg::getDependents(const RooArgSet* depList) const
virtual Option_t*TObject::GetDrawOption() const
static Long_tTObject::GetDtorOnly()
Bool_tgetForceNumInt() const
virtual const char*TObject::GetIconName() const
const RooNumIntConfig*getIntegratorConfig() const
RooNumIntConfig*getIntegratorConfig()
virtual Int_tgetMaxVal(const RooArgSet& vars) const
virtual const char*TNamed::GetName() const
virtual char*TObject::GetObjectInfo(Int_t px, Int_t py) const
static Bool_tTObject::GetObjectStat()
RooArgSet*RooAbsArg::getObservables(const RooAbsData* data) const
RooArgSet*RooAbsArg::getObservables(const RooAbsData& data) const
RooArgSet*RooAbsArg::getObservables(const RooArgSet& set, Bool_t valueOnly = kTRUE) const
RooArgSet*RooAbsArg::getObservables(const RooArgSet* depList, Bool_t valueOnly = kTRUE) const
virtual Option_t*TObject::GetOption() const
RooArgSet*RooAbsArg::getParameters(const RooAbsData* data, Bool_t stripDisconnected = kTRUE) const
RooArgSet*RooAbsArg::getParameters(const RooAbsData& data, Bool_t stripDisconnected = kTRUE) const
RooArgSet*RooAbsArg::getParameters(const RooArgSet& set, Bool_t stripDisconnected = kTRUE) const
virtual RooArgSet*RooAbsArg::getParameters(const RooArgSet* depList, Bool_t stripDisconnected = kTRUE) const
const char*getPlotLabel() const
Double_tgetPropagatedError(const RooFitResult& fr)
const Text_t*RooAbsArg::getStringAttribute(const Text_t* key) const
virtual const char*TNamed::GetTitle() const
TStringgetTitle(Bool_t appendUnit = kFALSE) const
Bool_tRooAbsArg::getTransientAttribute(const Text_t* name) const
virtual UInt_tTObject::GetUniqueID() const
const Text_t*getUnit() const
Double_tgetVal(const RooArgSet* set = 0) const
Double_tgetVal(const RooArgSet& set) const
virtual Double_tgetValV(const RooArgSet* set = 0) const
RooArgSet*RooAbsArg::getVariables(Bool_t stripDisconnected = kTRUE) const
voidRooAbsArg::graphVizTree(const char* fileName, const char* delimiter = "\n", bool useTitle = false, bool useLatex = false)
voidRooAbsArg::graphVizTree(ostream& os, const char* delimiter = "\n", bool useTitle = false, bool useLatex = false)
virtual Bool_tTObject::HandleTimer(TTimer* timer)
Bool_tRooAbsArg::hasClients() const
virtual ULong_tTNamed::Hash() const
virtual Bool_tRooAbsArg::hasRange(const char*) const
static Bool_thideOffset()
RooGenFunction*iGenFunction(RooRealVar& x, const RooArgSet& nset = RooArgSet())
RooMultiGenFunction*iGenFunction(const RooArgSet& observables, const RooArgSet& nset = RooArgSet())
virtual Bool_tRooAbsArg::importWorkspaceHook(RooWorkspace&)
virtual voidTObject::Info(const char* method, const char* msgfmt) const
virtual Bool_tTObject::InheritsFrom(const char* classname) const
virtual Bool_tTObject::InheritsFrom(const TClass* cl) const
virtual Bool_tRooAbsArg::inRange(const char*) const
virtual voidTObject::Inspect() constMENU
voidTObject::InvertBit(UInt_t f)
virtual voidRooAbsArg::ioStreamerPass2()
static voidRooAbsArg::ioStreamerPass2Finalize()
virtual TClass*IsA() const
virtual Bool_tisBinnedDistribution(const RooArgSet&) const
Bool_tRooAbsArg::isCloneOf(const RooAbsArg& other) const
Bool_tRooAbsArg::isConstant() const
virtual Bool_tRooAbsArg::isDerived() const
virtual Bool_tTObject::IsEqual(const TObject* obj) const
virtual Bool_tTObject::IsFolder() const
virtual Bool_tRooAbsArg::isFundamental() const
virtual Bool_tisIdentical(const RooAbsArg& other, Bool_t assumeSameType = kFALSE)
virtual Bool_tRooAbsArg::isLValue() const
virtual Bool_tisOffsetting() const
Bool_tTObject::IsOnHeap() const
Bool_tRooAbsArg::isShapeDirty() const
Bool_tRooAbsArg::isShapeServer(const RooAbsArg& arg) const
Bool_tRooAbsArg::isShapeServer(const char* name) const
virtual Bool_tRooAbsArg::IsSortable() const
Bool_tRooAbsArg::isValueDirty() const
Bool_tRooAbsArg::isValueDirtyAndClear() const
Bool_tRooAbsArg::isValueOrShapeDirtyAndClear() const
Bool_tRooAbsArg::isValueServer(const RooAbsArg& arg) const
Bool_tRooAbsArg::isValueServer(const char* name) const
Bool_tTObject::IsZombie() const
voidRooAbsArg::leafNodeServerList(RooAbsCollection* list, const RooAbsArg* arg = 0, Bool_t recurseNonDerived = kFALSE) const
Bool_tRooAbsArg::localNoDirtyInhibit() const
voidlogEvalError(const char* message, const char* serverValueString = 0) const
static voidlogEvalError(const RooAbsReal* originator, const char* origName, const char* message, const char* serverValueString = 0)
virtual voidTNamed::ls(Option_t* option = "") const
virtual Double_tmaxVal(Int_t code) const
voidTObject::MayNotUse(const char* method) const
RooAbsMoment*mean(RooRealVar& obs)
RooAbsMoment*mean(RooRealVar& obs, const RooArgSet& nset)
virtual Int_tminTrialSamples(const RooArgSet&) const
RooAbsMoment*moment(RooRealVar& obs, Int_t order, Bool_t central, Bool_t takeRoot)
RooAbsMoment*moment(RooRealVar& obs, const RooArgSet& normObs, Int_t order, Bool_t central, Bool_t takeRoot, Bool_t intNormObs)
static voidRooPrintable::nameFieldLength(Int_t newLen)
const TNamed*RooAbsArg::namePtr() const
virtual Bool_tTObject::Notify()
Int_tRooAbsArg::numCaches() const
static Int_tnumEvalErrorItems()
static Int_tnumEvalErrors()
Bool_tRooAbsArg::observableOverlaps(const RooAbsData* dset, const RooAbsArg& testArg) const
Bool_tRooAbsArg::observableOverlaps(const RooArgSet* depList, const RooAbsArg& testArg) const
voidTObject::Obsolete(const char* method, const char* asOfVers, const char* removedFromVers) const
virtual Double_toffset() const
static voidTObject::operator delete(void* ptr)
static voidTObject::operator delete(void* ptr, void* vp)
static voidTObject::operator delete[](void* ptr)
static voidTObject::operator delete[](void* ptr, void* vp)
void*TObject::operator new(size_t sz)
void*TObject::operator new(size_t sz, void* vp)
void*TObject::operator new[](size_t sz)
void*TObject::operator new[](size_t sz, void* vp)
TNamed&TNamed::operator=(const TNamed& rhs)
Bool_toperator==(Double_t value) const
virtual Bool_toperator==(const RooAbsArg& other)
RooAbsArg::OperModeRooAbsArg::operMode() const
virtual voidRooAbsArg::optimizeCacheMode(const RooArgSet& observables)
virtual voidRooAbsArg::optimizeCacheMode(const RooArgSet& observables, RooArgSet& optNodes, RooLinkedList& processedNodes)
Bool_tRooAbsArg::overlaps(const RooAbsArg& testArg, Bool_t valueOnly = kFALSE) const
const RooArgSet*RooAbsArg::ownedComponents() const
virtual voidTObject::Paint(Option_t* option = "")
virtual RooPlot*plotOn(RooPlot* frame, RooLinkedList& cmdList) const
virtual RooPlot*plotOn(RooPlot* frame, const RooCmdArg& arg1 = RooCmdArg(), const RooCmdArg& arg2 = RooCmdArg(), const RooCmdArg& arg3 = RooCmdArg(), const RooCmdArg& arg4 = RooCmdArg(), const RooCmdArg& arg5 = RooCmdArg(), const RooCmdArg& arg6 = RooCmdArg(), const RooCmdArg& arg7 = RooCmdArg(), const RooCmdArg& arg8 = RooCmdArg(), const RooCmdArg& arg9 = RooCmdArg(), const RooCmdArg& arg10 = RooCmdArg()) const
virtual list<Double_t>*plotSamplingHint(RooAbsRealLValue&, Double_t, Double_t) const
virtual RooPlot*plotSliceOn(RooPlot* frame, const RooArgSet& sliceSet, Option_t* drawOptions = "L", Double_t scaleFactor = 1.0, RooAbsReal::ScaleType stype = Relative, const RooAbsData* projData = 0) const
virtual voidTObject::Pop()
virtual voidpreferredObservableScanOrder(const RooArgSet& obs, RooArgSet& orderedObs) const
virtual voidRooAbsArg::Print(Option_t* options = 0) const
virtual voidRooAbsArg::printAddress(ostream& os) const
virtual voidRooAbsArg::printArgs(ostream& os) const
virtual voidRooAbsArg::printClassName(ostream& os) const
voidRooAbsArg::printCompactTree(const char* indent = "", const char* fileName = 0, const char* namePat = 0, RooAbsArg* client = 0)
voidRooAbsArg::printCompactTree(ostream& os, const char* indent = "", const char* namePat = 0, RooAbsArg* client = 0)
virtual voidRooAbsArg::printCompactTreeHook(ostream& os, const char* ind = "")
voidRooAbsArg::printComponentTree(const char* indent = "", const char* namePat = 0, Int_t nLevel = 999)
voidRooAbsArg::printDirty(Bool_t depth = kTRUE) const
static voidprintEvalErrors(ostream& os = std::cout, Int_t maxPerNode = 10000000)
virtual voidRooPrintable::printExtras(ostream& os) const
virtual voidRooAbsArg::printMetaArgs(ostream&) const
virtual voidprintMultiline(ostream& os, Int_t contents, Bool_t verbose = kFALSE, TString indent = "") const
virtual voidRooAbsArg::printName(ostream& os) const
virtual voidRooPrintable::printStream(ostream& os, Int_t contents, RooPrintable::StyleOption style, TString indent = "") const
virtual voidRooAbsArg::printTitle(ostream& os) const
virtual voidRooAbsArg::printTree(ostream& os, TString indent = "") const
virtual voidprintValue(ostream& os) const
virtual Int_tTObject::Read(const char* name)
virtual Bool_treadFromStream(istream& is, Bool_t compact, Bool_t verbose = kFALSE)
Bool_tRooAbsArg::recursiveCheckDependents(const RooArgSet* nset) const
Bool_tRooAbsArg::recursiveCheckObservables(const RooArgSet* nset) const
Bool_tRooAbsArg::recursiveRedirectServers(const RooAbsCollection& newServerList, Bool_t mustReplaceAll = kFALSE, Bool_t nameChange = kFALSE, Bool_t recurseInNewSet = kTRUE)
virtual voidTObject::RecursiveRemove(TObject* obj)
Bool_tRooAbsArg::redirectServers(const RooAbsCollection& newServerList, Bool_t mustReplaceAll = kFALSE, Bool_t nameChange = kFALSE, Bool_t isRecursionStep = kFALSE)
virtual Bool_tRooAbsArg::redirectServersHook(const RooAbsCollection&, Bool_t, Bool_t, Bool_t)
voidRooAbsArg::registerCache(RooAbsCache& cache)
voidRooAbsArg::removeServer(RooAbsArg& server, Bool_t force = kFALSE)
voidRooAbsArg::replaceServer(RooAbsArg& oldServer, RooAbsArg& newServer, Bool_t valueProp, Bool_t shapeProp)
voidTObject::ResetBit(UInt_t f)
virtual voidTObject::SaveAs(const char* filename = "", Option_t* option = "") constMENU
virtual voidTObject::SavePrimitive(ostream& out, Option_t* option = "")
TIterator*RooAbsArg::serverIterator() const
RooFIterRooAbsArg::serverMIterator() const
virtual voidRooAbsArg::serverNameChangeHook(const RooAbsArg*, const RooAbsArg*)
voidRooAbsArg::setAttribute(const Text_t* name, Bool_t value = kTRUE)
voidTObject::SetBit(UInt_t f)
voidTObject::SetBit(UInt_t f, Bool_t set)
virtual voidRooAbsArg::setCacheAndTrackHints(RooArgSet&)
static voidsetCacheCheck(Bool_t flag)
virtual Bool_tsetData(RooAbsData&, Bool_t = kTRUE)
static voidRooAbsArg::setDirtyInhibit(Bool_t flag)
virtual voidTObject::SetDrawOption(Option_t* option = "")MENU
static voidTObject::SetDtorOnly(void* obj)
static voidsetEvalErrorLoggingMode(RooAbsReal::ErrorLoggingMode m)
virtual voidRooAbsArg::setExpensiveObjectCache(RooExpensiveObjectCache& cache)
static voidsetHideOffset(Bool_t flag)
voidsetIntegratorConfig()
voidsetIntegratorConfig(const RooNumIntConfig& config)
voidRooAbsArg::setLocalNoDirtyInhibit(Bool_t flag) const
virtual voidRooAbsArg::SetName(const char* name)
virtual voidRooAbsArg::SetNameTitle(const char* name, const char* title)
static voidTObject::SetObjectStat(Bool_t stat)
voidRooAbsArg::setOperMode(RooAbsArg::OperMode mode, Bool_t recurseADirty = kTRUE)
voidsetParameterizeIntegral(const RooArgSet& paramVars)
voidsetPlotLabel(const char* label)
voidRooAbsArg::setProhibitServerRedirect(Bool_t flag)
voidRooAbsArg::setShapeDirty() const
voidRooAbsArg::setStringAttribute(const Text_t* key, const Text_t* value)
virtual voidTNamed::SetTitle(const char* title = "")MENU
voidRooAbsArg::setTransientAttribute(const Text_t* name, Bool_t value = kTRUE)
virtual voidTObject::SetUniqueID(UInt_t uid)
voidsetUnit(const char* unit)
voidRooAbsArg::setValueDirty() const
TIterator*RooAbsArg::shapeClientIterator() const
RooFIterRooAbsArg::shapeClientMIterator() const
virtual voidShowMembers(TMemberInspector&)
RooAbsMoment*sigma(RooRealVar& obs)
RooAbsMoment*sigma(RooRealVar& obs, const RooArgSet& nset)
virtual Int_tTNamed::Sizeof() const
RooNumIntConfig*specialIntegratorConfig() const
RooNumIntConfig*specialIntegratorConfig(Bool_t createOnTheFly)
virtual voidStreamer(TBuffer&)
voidStreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)
const map<std::string,std::string>&RooAbsArg::stringAttributes() const
virtual voidTObject::SysError(const char* method, const char* msgfmt) const
Bool_tTObject::TestBit(UInt_t f) const
Int_tTObject::TestBits(UInt_t f) const
const set<std::string>&RooAbsArg::transientAttributes() const
voidRooAbsArg::treeNodeServerList(RooAbsCollection* list, const RooAbsArg* arg = 0, Bool_t doBranch = kTRUE, Bool_t doLeaf = kTRUE, Bool_t valueOnly = kFALSE, Bool_t recurseNonDerived = kFALSE) const
voidRooAbsArg::unRegisterCache(RooAbsCache& cache)
virtual voidTObject::UseCurrentStyle()
TIterator*RooAbsArg::valueClientIterator() const
RooFIterRooAbsArg::valueClientMIterator() const
static voidRooAbsArg::verboseDirty(Bool_t flag)
virtual voidTObject::Warning(const char* method, const char* msgfmt) const
voidRooAbsArg::wireAllCaches()
virtual Int_tTObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0)
virtual Int_tTObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0) const
virtual voidwriteToStream(ostream& os, Bool_t compact) const
protected:
voidRooAbsArg::attachToStore(RooAbsDataStore& store)
virtual voidattachToTree(TTree& t, Int_t bufSize = 32000)
virtual voidattachToVStore(RooVectorDataStore& vstore)
RooFitResult*chi2FitDriver(RooAbsReal& fcn, RooLinkedList& cmdList)
TStringRooAbsArg::cleanBranchName() const
virtual voidcopyCache(const RooAbsArg* source, Bool_t valueOnly = kFALSE, Bool_t setValDirty = kTRUE)
RooAbsReal*createIntObj(const RooArgSet& iset, const RooArgSet* nset, const RooNumIntConfig* cfg, const char* rangeName) const
virtual voidTObject::DoError(int level, const char* location, const char* fmt, va_list va) const
virtual Double_tevaluate() const
virtual voidfillTreeBranch(TTree& t)
voidfindInnerMostIntegration(const RooArgSet& allObs, RooArgSet& innerObs, const char* rangeName) const
virtual voidRooAbsArg::getObservablesHook(const RooArgSet*, RooArgSet*) const
virtual voidRooAbsArg::getParametersHook(const RooArgSet*, RooArgSet*, Bool_t) const
RooAbsProxy*RooAbsArg::getProxy(Int_t index) const
static voidglobalSelectComp(Bool_t flag)
voidRooAbsArg::graphVizAddConnections(set<std::pair<RooAbsArg*,RooAbsArg*> >&)
Bool_tRooAbsArg::inhibitDirty() const
TStringintegralNameSuffix(const RooArgSet& iset, const RooArgSet* nset = 0, const char* rangeName = 0, Bool_t omitEmpty = kFALSE) const
Bool_tisSelectedComp() const
virtual Bool_tisValid() const
virtual Bool_tisValidReal(Double_t value, Bool_t printError = kFALSE) const
voidmakeProjectionSet(const RooAbsArg* plotVar, const RooArgSet* allVars, RooArgSet& projectedVars, Bool_t silent) const
voidTObject::MakeZombie()
Bool_tmatchArgs(const RooArgSet& allDeps, RooArgSet& numDeps, const RooArgProxy& a) const
Bool_tmatchArgs(const RooArgSet& allDeps, RooArgSet& numDeps, const RooArgSet& set) const
Bool_tmatchArgs(const RooArgSet& allDeps, RooArgSet& numDeps, const RooArgProxy& a, const RooArgProxy& b) const
Bool_tmatchArgs(const RooArgSet& allDeps, RooArgSet& numDeps, const RooArgProxy& a, const RooArgProxy& b, const RooArgProxy& c) const
Bool_tmatchArgs(const RooArgSet& allDeps, RooArgSet& numDeps, const RooArgProxy& a, const RooArgProxy& b, const RooArgProxy& c, const RooArgProxy& d) const
Int_tRooAbsArg::numProxies() const
virtual voidRooAbsArg::operModeHook()
virtual voidRooAbsArg::optimizeDirtyHook(const RooArgSet*)
virtual RooPlot*plotAsymOn(RooPlot* frame, const RooAbsCategoryLValue& asymCat, RooAbsReal::PlotOpt o) const
virtual RooPlot*plotOn(RooPlot* frame, RooAbsReal::PlotOpt o) const
voidplotOnCompSelect(RooArgSet* selNodes) const
RooPlot*plotOnWithErrorBand(RooPlot* frame, const RooFitResult& fr, Double_t Z, const RooArgSet* params, const RooLinkedList& argList, Bool_t method1) const
Bool_tplotSanityChecks(RooPlot* frame) const
voidRooAbsArg::printAttribList(ostream& os) const
voidRooAbsArg::registerProxy(RooArgProxy& proxy)
voidRooAbsArg::registerProxy(RooSetProxy& proxy)
voidRooAbsArg::registerProxy(RooListProxy& proxy)
voidselectComp(Bool_t flag)
virtual voidselectNormalization(const RooArgSet* depSet = 0, Bool_t force = kFALSE)
virtual voidselectNormalizationRange(const char* rangeName = 0, Bool_t force = kFALSE)
voidRooAbsArg::setProxyNormSet(const RooArgSet* nset)
voidRooAbsArg::setShapeDirty(const RooAbsArg* source) const
virtual voidsetTreeBranchStatus(TTree& t, Bool_t active)
voidRooAbsArg::setValueDirty(const RooAbsArg* source) const
virtual voidsyncCache(const RooArgSet* set = 0)
Double_ttraceEval(const RooArgSet* set) const
virtual Bool_ttraceEvalHook(Double_t) const
voidRooAbsArg::unRegisterProxy(RooArgProxy& proxy)
voidRooAbsArg::unRegisterProxy(RooSetProxy& proxy)
voidRooAbsArg::unRegisterProxy(RooListProxy& proxy)
private:
Bool_tmatchArgsByName(const RooArgSet& allArgs, RooArgSet& matchedArgs, const TList& nameList) const

Data Members

public:
enum ScaleType { Raw
Relative
NumEvent
RelativeExpected
};
enum ErrorLoggingMode { PrintErrors
CollectErrors
CountErrors
Ignore
};
enum RooAbsArg::ConstOpCode { Activate
DeActivate
ConfigChange
ValueChange
};
enum RooAbsArg::CacheMode { Always
NotAdvised
Never
};
enum RooAbsArg::OperMode { Auto
AClean
ADirty
};
enum TObject::EStatusBits { kCanDelete
kMustCleanup
kObjInCanvas
kIsReferenced
kHasUUID
kCannotPick
kNoContextMenu
kInvalidObject
};
enum TObject::[unnamed] { kIsOnHeap
kNotDeleted
kZombie
kBitMask
kSingleKey
kOverwrite
kWriteDelete
};
enum RooPrintable::ContentsOption { kName
kClassName
kValue
kArgs
kExtras
kAddress
kTitle
kCollectionHeader
};
enum RooPrintable::StyleOption { kInline
kSingleLine
kStandard
kVerbose
kTreeStructure
};
public:
static map<RooAbsArg*,TRefArray*>RooAbsArg::_ioEvoListtemporary holding list for proxies needed in schema evolution
static stack<RooAbsArg*>RooAbsArg::_ioReadStackreading stack
static const UInt_tRooAbsArg::fnv1a32start
static const ULong64_tRooAbsArg::fnv1a64start
protected:
set<std::string>RooAbsArg::_boolAttribBoolean attributes
set<std::string>RooAbsArg::_boolAttribTransient! Transient boolean attributes (not copied in ctor)
Bool_t_boolValue! Transient cache for bool values from tree branches
UChar_t_byteValue! Transient cache for byte values from tree branches
static Bool_t_cacheCheckIf true, always validate contents of clean which outcome of evaluate()
deque<RooAbsCache*>RooAbsArg::_cacheListlist of caches
RooRefCountListRooAbsArg::_clientListlist of client objects
RooRefCountListRooAbsArg::_clientListShapesubset of clients that requested shape dirty flag propagation
RooRefCountListRooAbsArg::_clientListValuesubset of clients that requested value dirty flag propagation
TIterator*RooAbsArg::_clientShapeIter! Iterator over _clientListShape
TIterator*RooAbsArg::_clientValueIter! Iterator over _clientListValue
Bool_tRooAbsArg::_deleteWatch! Delete watch flag
RooExpensiveObjectCache*RooAbsArg::_eocachePointer to global cache manager for any expensive components created by this object
Bool_tRooAbsArg::_fastAllow fast access mode in getVal() and proxies
Float_t_floatValue! Transient cache for floating point values from tree branches
Bool_t_forceNumIntForce numerical integration if flag set
static Bool_t_globalSelectCompGlobal activation switch for component selection
static Bool_t_hideOffsetOffset hiding flag
static Bool_tRooAbsArg::_inhibitDirtyStatic flag controlling global inhibit of dirty state propagation
Int_t_intValue! Transient cache for integer values from tree branches
Bool_tRooAbsArg::_isConstant! Cached isConstant status
TString_labelPlot label for objects value
RooArgSet*_lastNSet!
Bool_tRooAbsArg::_localNoInhibitDirty! Prevent 'AlwaysDirty' mode for this node
static Int_tRooPrintable::_nameLength
TNamed*RooAbsArg::_namePtr! Do not persist. Pointer to global instance of string that matches object named
RooAbsArg::OperModeRooAbsArg::_operModeDirty state propagation mode
RooArgSet*RooAbsArg::_ownedComponents! Set of owned component
Int_t_plotBinsNumber of plot bins
Double_t_plotMaxMaximum of plot range
Double_t_plotMinMinimum of plot range
Bool_tRooAbsArg::_prohibitServerRedirect! Prohibit server redirects -- Debugging tool
RooRefArrayRooAbsArg::_proxyListlist of proxies
Char_t_sbyteValue! Transient cache for signed byte values from tree branches
Bool_t_selectComp! Component selection flag for RooAbsPdf::plotCompOn
RooRefCountListRooAbsArg::_serverListlist of server objects
Bool_tRooAbsArg::_shapeDirtyFlag set if value needs recalculating because input shapes modified
RooNumIntConfig*_specIntegratorConfigNumeric integrator configuration specific for this object
map<std::string,std::string>RooAbsArg::_stringAttribString attributes
Bool_t_treeVar!do not persist
UInt_t_uintValue! Transient cache for unsigned integer values from tree branches
TString_unitUnit for objects value
Double_t_valueCache for current value of object
Bool_tRooAbsArg::_valueDirtyFlag set if value needs recalculating because input values modified
static Bool_tRooAbsArg::_verboseDirtyStatic flag controlling verbose messaging for dirty state changes
TStringTNamed::fNameobject identifier
TStringTNamed::fTitleobject title
private:
static Int_t_evalErrorCount
static map<const RooAbsArg*,std::pair<std::string,std::list<EvalError> > >_evalErrorList
static RooAbsReal::ErrorLoggingMode_evalErrorMode

Class Charts

Inheritance Inherited Members Includes Libraries
Class Charts

Function documentation

void setHideOffset(Bool_t flag)
{ _hideOffset = flag ; }
Bool_t hideOffset()
{ return _hideOffset ; }
~RooAbsReal()
 Destructor
Bool_t operator==(Double_t value) const
 Equality operator comparing to a Double_t
Bool_t operator==(const RooAbsArg& other)
 Equality operator when comparing to another RooAbsArg.
 Only functional when the other arg is a RooAbsReal
Bool_t isIdentical(const RooAbsArg& other, Bool_t assumeSameType = kFALSE)
TString getTitle(Bool_t appendUnit = kFALSE) const
 Return this variable's title string. If appendUnit is true and
 this variable has units, also append a string " (<unit>)".
Double_t getValV(const RooArgSet* set = 0) const
 Return value of object. If the cache is clean, return the
 cached value, otherwise recalculate on the fly and refill
 the cache
Int_t numEvalErrorItems()
Double_t traceEval(const RooArgSet* set) const
 Calculate current value of object, with error tracing wrapper
Int_t getAnalyticalIntegralWN(RooArgSet& allVars, RooArgSet& analVars, const RooArgSet* normSet, const char* rangeName = 0) const
 Variant of getAnalyticalIntegral that is also passed the normalization set
 that should be applied to the integrand of which the integral is request.
 For certain operator p.d.f it is useful to overload this function rather
 than analyticalIntegralWN() as the additional normalization information
 may be useful in determining a more efficient decomposition of the
 requested integral
Int_t getAnalyticalIntegral(RooArgSet& allVars, RooArgSet& analVars, const char* rangeName = 0) const
 Interface function getAnalyticalIntergral advertises the
 analytical integrals that are supported. 'integSet'
 is the set of dependents for which integration is requested. The
 function should copy the subset of dependents it can analytically
 integrate to anaIntSet and return a unique identification code for
 this integration configuration.  If no integration can be
 performed, zero should be returned.
Double_t analyticalIntegralWN(Int_t code, const RooArgSet* normSet, const char* rangeName = 0) const
 Implements the actual analytical integral(s) advertised by
 getAnalyticalIntegral.  This functions will only be called with
 codes returned by getAnalyticalIntegral, except code zero.
Double_t analyticalIntegral(Int_t code, const char* rangeName = 0) const
 Implements the actual analytical integral(s) advertised by
 getAnalyticalIntegral.  This functions will only be called with
 codes returned by getAnalyticalIntegral, except code zero.
const char * getPlotLabel() const
 Get the label associated with the variable
void setPlotLabel(const char* label)
 Set the label associated with this variable
Bool_t readFromStream(istream& is, Bool_t compact, Bool_t verbose = kFALSE)
Read object contents from stream (dummy for now)
void writeToStream(ostream& os, Bool_t compact) const
Write object contents to stream (dummy for now)
void printValue(ostream& os) const
 Print object value
void printMultiline(ostream& os, Int_t contents, Bool_t verbose = kFALSE, TString indent = "") const
 Structure printing
Bool_t isValid() const
 Check if current value is valid
Bool_t isValidReal(Double_t value, Bool_t printError = kFALSE) const
 Interface function to check if given value is a valid value for this object.
 This default implementation considers all values valid
RooAbsReal* createProfile(const RooArgSet& paramsOfInterest)
 Create a RooProfileLL object that eliminates all nuisance parameters in the
 present function. The nuisance parameters are defined as all parameters
 of the function except the stated paramsOfInterest
RooAbsReal* createIntegral(const RooArgSet& iset, 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()) const
 Create an object that represents the integral of the function over one or more observables listed in iset
 The actual integration calculation is only performed when the return object is evaluated. The name
 of the integral object is automatically constructed from the name of the input function, the variables
 it integrates and the range integrates over

 The following named arguments are accepted

 NormSet(const RooArgSet&)            -- Specify normalization set, mostly useful when working with PDFS
 NumIntConfig(const RooNumIntConfig&) -- Use given configuration for any numeric integration, if necessary
 Range(const char* name)              -- Integrate only over given range. Multiple ranges may be specified
                                         by passing multiple Range() arguments
RooAbsReal* createIntegral(const RooArgSet& iset, const RooArgSet* nset = 0, const RooNumIntConfig* cfg = 0, const char* rangeName = 0) const
 Create an object that represents the integral of the function over one or more observables listed in iset
 The actual integration calculation is only performed when the return object is evaluated. The name
 of the integral object is automatically constructed from the name of the input function, the variables
 it integrates and the range integrates over. If nset is specified the integrand is request
 to be normalized over nset (only meaningful when the integrand is a pdf). If rangename is specified
 the integral is performed over the named range, otherwise it is performed over the domain of each
 integrated observable. If cfg is specified it will be used to configure any numeric integration
 aspect of the integral. It will not force the integral to be performed numerically, which is
 decided automatically by RooRealIntegral
RooAbsReal* createIntObj(const RooArgSet& iset, const RooArgSet* nset, const RooNumIntConfig* cfg, const char* rangeName) const
 Utility function for createIntegral that creates the actual integreal object
void findInnerMostIntegration(const RooArgSet& allObs, RooArgSet& innerObs, const char* rangeName) const
 Utility function for createIntObj() that aids in the construct of recursive integrals
 over functions with multiple observables with parameterized ranges. This function
 finds in a given set allObs over which integration is requested the largeset subset
 of observables that can be integrated simultaneously. This subset consists of
 observables with fixed ranges and observables with parameterized ranges whose
 parameterization does not depend on any observable that is also integrated.
TString integralNameSuffix(const RooArgSet& iset, const RooArgSet* nset = 0, const char* rangeName = 0, Bool_t omitEmpty = kFALSE) const
 Construct string with unique suffix name to give to integral object that encodes
 integrated observables, normalization observables and the integration range name
const RooAbsReal* createPlotProjection(const RooArgSet& depVars, const RooArgSet& projVars, RooArgSet*& cloneSet) const
 Utility function for plotOn() that creates a projection of a function or p.d.f
 to be plotted on a RooPlot.
const RooAbsReal* createPlotProjection(const RooArgSet& depVars, const RooArgSet& projVars) const
 Utility function for plotOn() that creates a projection of a function or p.d.f
 to be plotted on a RooPlot.
const RooAbsReal * createPlotProjection(const RooArgSet& dependentVars, const RooArgSet* projectedVars, RooArgSet*& cloneSet, const char* rangeName = 0, const RooArgSet* condObs = 0) const
 Utility function for plotOn() that creates a projection of a function or p.d.f
 to be plotted on a RooPlot.

 Create a new object G that represents the normalized projection:

             Integral [ F[x,y,p] , { y } ]
  G[x,p] = ---------------------------------
            Integral [ F[x,y,p] , { x,y } ]

 where F[x,y,p] is the function we represent, "x" are the
 specified dependentVars, "y" are the specified projectedVars, and
 "p" are our remaining variables ("parameters"). Return a
 pointer to the newly created object, or else zero in case of an
 error.  The caller is responsible for deleting the contents of
 cloneSet (which includes the returned projection object)
TH1 * fillHistogram(TH1* hist, const RooArgList& plotVars, Double_t scaleFactor = 1, const RooArgSet* projectedVars = 0, Bool_t scaling = kTRUE, const RooArgSet* condObs = 0, Bool_t setError = kTRUE) const
 Fill the ROOT histogram 'hist' with values sampled from this
 function at the bin centers.  Our value is calculated by first
 integrating out any variables in projectedVars and then scaling
 the result by scaleFactor. Returns a pointer to the input
 histogram, or zero in case of an error. The input histogram can
 be any TH1 subclass, and therefore of arbitrary
 dimension. Variables are matched with the (x,y,...) dimensions of
 the input histogram according to the order in which they appear
 in the input plotVars list. If scaleForDensity is true the
 histogram is filled with a the functions density rather than
 the functions value (i.e. the value at the bin center is multiplied
 with bin volume)
RooDataHist* fillDataHist(RooDataHist* hist, const RooArgSet* nset, Double_t scaleFactor, Bool_t correctForBinVolume = kFALSE, Bool_t showProgress = kFALSE) const
 Fill a RooDataHist with values sampled from this function at the
 bin centers.  If extendedMode is true, the p.d.f. values is multiplied
 by the number of expected events in each bin

 An optional scaling by a given scaleFactor can be performed.
 Returns a pointer to the input RooDataHist, or zero
 in case of an error.

 If correctForBinSize is true the RooDataHist
 is filled with the functions density (function value times the
 bin volume) rather than function value.

 If showProgress is true
 a process indicator is printed on stdout in steps of one percent,
 which is mostly useful for the sampling of expensive functions
 such as likelihoods
TH1* createHistogram(const char* varNameList, Int_t xbins = 0, Int_t ybins = 0, Int_t zbins = 0) const
 Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this function for the variables with given names
 The number of bins can be controlled using the [xyz]bins parameters. For a greater degree of control
 use the createHistogram() method below with named arguments

 The caller takes ownership of the returned histogram
TH1 * createHistogram(const char* name, const RooAbsRealLValue& xvar, 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()) const
 Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this function.

 This function accepts the following arguments

 name -- Name of the ROOT histogram
 xvar -- Observable to be mapped on x axis of ROOT histogram

 IntrinsicBinning()                           -- Apply binning defined by function or pdf (as advertised via binBoundaries() method)
 Binning(const char* name)                    -- Apply binning with given name to x axis of histogram
 Binning(RooAbsBinning& binning)              -- Apply specified binning to x axis of histogram
 Binning(int nbins, [double lo, double hi])   -- Apply specified binning to x axis of histogram
 ConditionalObservables(const RooArgSet& set) -- Do not normalized PDF over following observables when projecting PDF into histogram
 Scaling(Bool_t)                              -- Apply density-correction scaling (multiply by bin volume), default is kTRUE
 Extended(Bool_t)                             -- Plot event yield instead of probability density (for extended pdfs only)

 YVar(const RooAbsRealLValue& var,...)    -- Observable to be mapped on y axis of ROOT histogram
 ZVar(const RooAbsRealLValue& var,...)    -- Observable to be mapped on z axis of ROOT histogram

 The YVar() and ZVar() arguments can be supplied with optional Binning() arguments to control the binning of the Y and Z axes, e.g.
 createHistogram("histo",x,Binning(-1,1,20), YVar(y,Binning(-1,1,30)), ZVar(z,Binning("zbinning")))

 The caller takes ownership of the returned histogram
TH1* createHistogram(const char* name, const RooAbsRealLValue& xvar, RooLinkedList& argList) const
 Internal method implementing createHistogram
void plotOnCompSelect(RooArgSet* selNodes) const
 Helper function for plotting of composite p.d.fs. Given
 a set of selected components that should be plotted,
 find all nodes that (in)directly depend on these selected
 nodes. Mark all directly and indirecty selected nodes
 as 'selected' using the selectComp() method
RooPlot* plotOn(RooPlot* frame, const RooCmdArg& arg1 = RooCmdArg(), const RooCmdArg& arg2 = RooCmdArg(), const RooCmdArg& arg3 = RooCmdArg(), const RooCmdArg& arg4 = RooCmdArg(), const RooCmdArg& arg5 = RooCmdArg(), const RooCmdArg& arg6 = RooCmdArg(), const RooCmdArg& arg7 = RooCmdArg(), const RooCmdArg& arg8 = RooCmdArg(), const RooCmdArg& arg9 = RooCmdArg(), const RooCmdArg& arg10 = RooCmdArg()) const
 Plot (project) PDF on specified frame. If a PDF is plotted in an empty frame, it
 will show a unit normalized curve in the frame variable, taken at the present value
 of other observables defined for this PDF

 If a PDF is plotted in a frame in which a dataset has already been plotted, it will
 show a projected curve integrated over all variables that were present in the shown
 dataset except for the one on the x-axis. The normalization of the curve will also
 be adjusted to the event count of the plotted dataset. An informational message
 will be printed for each projection step that is performed

 This function takes the following named arguments

 Projection control

 Slice(const RooArgSet& set)     -- Override default projection behaviour by omittting observables listed
                                    in set from the projection, resulting a 'slice' plot. Slicing is usually
                                    only sensible in discrete observables. The slice is position at the 'current'
                                    value of the observable objects

 Slice(RooCategory& cat,         -- Override default projection behaviour by omittting specified category
       const char* label)           observable from the projection, resulting in a 'slice' plot. The slice is positioned
                                    at the given label value. Multiple Slice() commands can be given to specify slices
                                    in multiple observables

 Project(const RooArgSet& set)   -- Override default projection behaviour by projecting over observables
                                    given in set and complete ignoring the default projection behavior. Advanced use only.

 ProjWData(const RooAbsData& d)  -- Override default projection _technique_ (integration). For observables present in given dataset
                                    projection of PDF is achieved by constructing an average over all observable values in given set.
                                    Consult RooFit plotting tutorial for further explanation of meaning & use of this technique

 ProjWData(const RooArgSet& s,   -- As above but only consider subset 's' of observables in dataset 'd' for projection through data averaging
           const RooAbsData& d)

 ProjectionRange(const char* rn) -- Override default range of projection integrals to a different range speficied by given range name.
                                    This technique allows you to project a finite width slice in a real-valued observable

 NumCPU(Int_t ncpu)              -- Number of CPUs to use simultaneously to calculate data-weighted projections (only in combination with ProjWData)


 Misc content control

 PrintEvalErrors(Int_t numErr)   -- Control number of p.d.f evaluation errors printed per curve. A negative
                                    value suppress output completely, a zero value will only print the error count per p.d.f component,
                                    a positive value is will print details of each error up to numErr messages per p.d.f component.

 EvalErrorValue(Double_t value)  -- Set curve points at which (pdf) evaluation error occur to specified value. By default the
                                    function value is plotted.

 Normalization(Double_t scale,   -- Adjust normalization by given scale factor. Interpretation of number depends on code: Relative:
                ScaleType code)     relative adjustment factor, NumEvent: scale to match given number of events.

 Name(const chat* name)          -- Give curve specified name in frame. Useful if curve is to be referenced later

 Asymmetry(const RooCategory& c) -- Show the asymmetry of the PDF in given two-state category [F(+)-F(-)] / [F(+)+F(-)] rather than
                                    the PDF projection. Category must have two states with indices -1 and +1 or three states with
                                    indeces -1,0 and +1.

 ShiftToZero(Bool_t flag)        -- Shift entire curve such that lowest visible point is at exactly zero. Mostly useful when
                                    plotting -log(L) or chi^2 distributions

 AddTo(const char* name,         -- Add constructed projection to already existing curve with given name and relative weight factors
                                    double_t wgtSelf, double_t wgtOther)

 Plotting control

 DrawOption(const char* opt)     -- Select ROOT draw option for resulting TGraph object

 LineStyle(Int_t style)          -- Select line style by ROOT line style code, default is solid

 LineColor(Int_t color)          -- Select line color by ROOT color code, default is blue

 LineWidth(Int_t width)          -- Select line with in pixels, default is 3

 FillStyle(Int_t style)          -- Select fill style, default is not filled. If a filled style is selected, also use VLines()
                                    to add vertical downward lines at end of curve to ensure proper closure
 FillColor(Int_t color)          -- Select fill color by ROOT color code

 Range(const char* name)         -- Only draw curve in range defined by given name

 Range(double lo, double hi)     -- Only draw curve in specified range

 VLines()                        -- Add vertical lines to y=0 at end points of curve

 Precision(Double_t eps)         -- Control precision of drawn curve w.r.t to scale of plot, default is 1e-3. Higher precision
                                    will result in more and more densely spaced curve points

 Invisible(Bool_t flag)           -- Add curve to frame, but do not display. Useful in combination AddTo()

 VisualizeError(const RooFitResult& fitres, Double_t Z=1, Bool_t linearMethod=kTRUE)
                                  -- Visualize the uncertainty on the parameters, as given in fitres, at 'Z' sigma'

 VisualizeError(const RooFitResult& fitres, const RooArgSet& param, Double_t Z=1, Bool_t linearMethod=kTRUE) ;
                                  -- Visualize the uncertainty on the subset of parameters 'param', as given in fitres, at 'Z' sigma'


 Details on error band visualization


 By default (linMethod=kTRUE) a linearized error is shown which is calculated as follows
                                    T
 error(x) = Z* F_a(x) * Corr(a,a') F_a'(x)

 where     F_a(x) = [ f(x,a+da) - f(x,a-da) ] / 2, with f(x) the plotted curve and 'da' taken from the fit result
       Corr(a,a') = the correlation matrix from the fit result
                Z = requested significance 'Z sigma band'

 The linear method is fast (required 2*N evaluations of the curve, where N is the number of parameters), but may
 not be accurate in the presence of strong correlations (~>0.9) and at Z>2 due to linear and Gaussian approximations made

 Alternatively (linMethod=kFALSE), a more robust error is calculated using a sampling method. In this method a number of curves
 is calculated with variations of the parameter values, as drawn from a multi-variate Gaussian p.d.f. that is constructed
 from the fit results covariance matrix. The error(x) is determined by calculating a central interval that capture N% of the variations
 for each valye of x, where N% is controlled by Z (i.e. Z=1 gives N=68%). The number of sampling curves is chosen to be such
 that at least 30 curves are expected to be outside the N% interval, and is minimally 100 (e.g. Z=1->Ncurve=100, Z=2->Ncurve=659, Z=3->Ncurve=11111)
 Intervals from the sampling method can be asymmetric, and may perform better in the presence of strong correlations, but may take (much)
 longer to calculate
RooPlot* plotOn(RooPlot* frame, RooLinkedList& cmdList) const
 Internal back-end function of plotOn() with named arguments
RooPlot* plotOn(RooPlot* frame, RooAbsReal::PlotOpt o) const
 Plotting engine function for internal use

 Plot ourselves on given frame. If frame contains a histogram, all dimensions of the plotted
 function that occur in the previously plotted dataset are projected via partial integration,
 otherwise no projections are performed. Optionally, certain projections can be performed
 by summing over the values present in a provided dataset ('projData'), to correctly
 project out data dependents that are not properly described by the PDF (e.g. per-event errors).

 The functions value can be multiplied with an optional scale factor. The interpretation
 of the scale factor is unique for generic real functions, for PDFs there are various interpretations
 possible, which can be selection with 'stype' (see RooAbsPdf::plotOn() for details).

 The default projection behaviour can be overriden by supplying an optional set of dependents
 to project. For most cases, plotSliceOn() and plotProjOn() provide a more intuitive interface
 to modify the default projection behavour.
RooPlot* plotSliceOn(RooPlot* frame, const RooArgSet& sliceSet, Option_t* drawOptions = "L", Double_t scaleFactor = 1.0, RooAbsReal::ScaleType stype = Relative, const RooAbsData* projData = 0) const
 OBSOLETE -- RETAINED FOR BACKWARD COMPATIBILITY. Use the plotOn(frame,Slice(...)) instead
RooPlot* plotAsymOn(RooPlot* frame, const RooAbsCategoryLValue& asymCat, RooAbsReal::PlotOpt o) const
 Plotting engine for asymmetries. Implements the functionality if plotOn(frame,Asymmetry(...)))

 Plot asymmetry of ourselves, defined as

   asym = f(asymCat=-1) - f(asymCat=+1) / ( f(asymCat=-1) + f(asymCat=+1) )

 on frame. If frame contains a histogram, all dimensions of the plotted
 asymmetry function that occur in the previously plotted dataset are projected via partial integration.
 Otherwise no projections are performed,

 The asymmetry function can be multiplied with an optional scale factor. The default projection
 behaviour can be overriden by supplying an optional set of dependents to project.
Double_t getPropagatedError(const RooFitResult& fr)
 Calculate error on self by propagated errors on parameters with correlations as given by fit result
 The linearly propagated error is calculated as follows
                                    T
 error(x) = F_a(x) * Corr(a,a') F_a'(x)

 where     F_a(x) = [ f(x,a+da) - f(x,a-da) ] / 2, with f(x) this function and 'da' taken from the fit result
       Corr(a,a') = the correlation matrix from the fit result

RooPlot* plotOnWithErrorBand(RooPlot* frame, const RooFitResult& fr, Double_t Z, const RooArgSet* params, const RooLinkedList& argList, Bool_t method1) const
 Plot function or p.d.f. on frame with support for visualization of the uncertainty encoded in the given fit result fr.
 If params is non-zero, only the subset of the parameters in fr that occur in params is considered for the error evaluation
 Argument argList can contain any RooCmdArg named argument that can be applied to a regular plotOn() operation

 By default (linMethod=kTRUE) a linearized error is shown which is calculated as follows
                                    T
 error(x) = Z* F_a(x) * Corr(a,a') F_a'(x)

 where     F_a(x) = [ f(x,a+da) - f(x,a-da) ] / 2, with f(x) the plotted curve and 'da' taken from the fit result
       Corr(a,a') = the correlation matrix from the fit result
                Z = requested signifance 'Z sigma band'

 The linear method is fast (required 2*N evaluations of the curve, where N is the number of parameters), but may
 not be accurate in the presence of strong correlations (~>0.9) and at Z>2 due to linear and Gaussian approximations made

 Alternatively, a more robust error is calculated using a sampling method. In this method a number of curves
 is calculated with variations of the parameter values, as drawn from a multi-variate Gaussian p.d.f. that is constructed
 from the fit results covariance matrix. The error(x) is determined by calculating a central interval that capture N% of the variations
 for each valye of x, where N% is controlled by Z (i.e. Z=1 gives N=68%). The number of sampling curves is chosen to be such
 that at least 30 curves are expected to be outside the N% interval, and is minimally 100 (e.g. Z=1->Ncurve=100, Z=2->Ncurve=659, Z=3->Ncurve=11111)
 Intervals from the sampling method can be asymmetric, and may perform better in the presence of strong correlations
Bool_t plotSanityChecks(RooPlot* frame) const
 Utility function for plotOn(), perform general sanity check on frame to ensure safe plotting operations
void makeProjectionSet(const RooAbsArg* plotVar, const RooArgSet* allVars, RooArgSet& projectedVars, Bool_t silent) const
 Utility function for plotOn() that constructs the set of
 observables to project when plotting ourselves as function of
 'plotVar'. 'allVars' is the list of variables that must be
 projected, but may contain variables that we do not depend on. If
 'silent' is cleared, warnings about inconsistent input parameters
 will be printed.
Bool_t isSelectedComp() const
 If true, the current pdf is a selected component (for use in plotting)
void globalSelectComp(Bool_t flag)
 Global switch controlling the activation of the selectComp() functionality
RooAbsFunc * bindVars(const RooArgSet& vars, const RooArgSet* nset = 0, Bool_t clipInvalid = kFALSE) const
 Create an interface adaptor f(vars) that binds us to the specified variables
 (in arbitrary order). For example, calling bindVars({x1,x3}) on an object
 F(x1,x2,x3,x4) returns an object f(x1,x3) that is evaluated using the
 current values of x2 and x4. The caller takes ownership of the returned adaptor.
void copyCache(const RooAbsArg* source, Bool_t valueOnly = kFALSE, Bool_t setValDirty = kTRUE)
 Copy the cached value of another RooAbsArg to our cache.
 Warning: This function copies the cached values of source,
 it is the callers responsibility to make sure the cache is clean
void attachToVStore(RooVectorDataStore& vstore)
void attachToTree(TTree& t, Int_t bufSize = 32000)
 Attach object to a branch of given TTree. By default it will
 register the internal value cache RooAbsReal::_value as branch
 buffer for a Double_t tree branch with the same name as this
 object. If no Double_t branch is found with the name of this
 object, this method looks for a Float_t Int_t, UChar_t and UInt_t
 branch in that order. If any of these are found the buffer for
 that branch is set to a correctly typed conversion buffer in this
 RooRealVar.  A flag is set that will cause copyCache to copy the
 object value from the appropriate conversion buffer instead of
 the _value buffer.
void fillTreeBranch(TTree& t)
 Fill the tree branch that associated with this object with its current value
void setTreeBranchStatus(TTree& t, Bool_t active)
 (De)Activate associated tree branch
RooAbsArg * createFundamental(const char* newname = 0) const
 Create a RooRealVar fundamental object with our properties. The new
 object will be created without any fit limits.
Bool_t matchArgs(const RooArgSet& allDeps, RooArgSet& numDeps, const RooArgProxy& a) const
 Utility function for use in getAnalyticalIntegral(). If the
 content of proxy 'a' occurs in set 'allDeps' then the argument
 held in 'a' is copied from allDeps to analDeps
Bool_t matchArgs(const RooArgSet& allDeps, RooArgSet& numDeps, const RooArgProxy& a, const RooArgProxy& b) const
 Utility function for use in getAnalyticalIntegral(). If the
 contents of proxies a,b occur in set 'allDeps' then the arguments
 held in a,b are copied from allDeps to analDeps
Bool_t matchArgs(const RooArgSet& allDeps, RooArgSet& numDeps, const RooArgProxy& a, const RooArgProxy& b, const RooArgProxy& c) const
 Utility function for use in getAnalyticalIntegral(). If the
 contents of proxies a,b,c occur in set 'allDeps' then the arguments
 held in a,b,c are copied from allDeps to analDeps
Bool_t matchArgs(const RooArgSet& allDeps, RooArgSet& numDeps, const RooArgProxy& a, const RooArgProxy& b, const RooArgProxy& c, const RooArgProxy& d) const
 Utility function for use in getAnalyticalIntegral(). If the
 contents of proxies a,b,c,d occur in set 'allDeps' then the arguments
 held in a,b,c,d are copied from allDeps to analDeps
Bool_t matchArgs(const RooArgSet& allDeps, RooArgSet& numDeps, const RooArgSet& set) const
 Utility function for use in getAnalyticalIntegral(). If the
 contents of 'refset' occur in set 'allDeps' then the arguments
 held in 'refset' are copied from allDeps to analDeps.
Bool_t matchArgsByName(const RooArgSet& allArgs, RooArgSet& matchedArgs, const TList& nameList) const
 Check if allArgs contains matching elements for each name in nameList. If it does,
 add the corresponding args from allArgs to matchedArgs and return kTRUE. Otherwise
 return kFALSE and do not change matchedArgs.
RooNumIntConfig* defaultIntegratorConfig()
 Returns the default numeric integration configuration for all RooAbsReals
RooNumIntConfig* specialIntegratorConfig() const
 Returns the specialized integrator configuration for _this_ RooAbsReal.
 If this object has no specialized configuration, a null pointer is returned.
RooNumIntConfig* specialIntegratorConfig(Bool_t createOnTheFly)
 Returns the specialized integrator configuration for _this_ RooAbsReal.
 If this object has no specialized configuration, a null pointer is returned,
 unless createOnTheFly is kTRUE in which case a clone of the default integrator
 configuration is created, installed as specialized configuration, and returned
const RooNumIntConfig* getIntegratorConfig() const
 Return the numeric integration configuration used for this object. If
 a specialized configuration was associated with this object, that configuration
 is returned, otherwise the default configuration for all RooAbsReals is returned
RooNumIntConfig* getIntegratorConfig()
 Return the numeric integration configuration used for this object. If
 a specialized configuration was associated with this object, that configuration
 is returned, otherwise the default configuration for all RooAbsReals is returned
void setIntegratorConfig(const RooNumIntConfig& config)
 Set the given integrator configuration as default numeric integration
 configuration for this object
void setIntegratorConfig()
 Remove the specialized numeric integration configuration associated
 with this object
void selectNormalization(const RooArgSet* depSet = 0, Bool_t force = kFALSE)
 Interface function to force use of a given set of observables
 to interpret function value. Needed for functions or p.d.f.s
 whose shape depends on the choice of normalization such as
 RooAddPdf
void selectNormalizationRange(const char* rangeName = 0, Bool_t force = kFALSE)
 Interface function to force use of a given normalization range
 to interpret function value. Needed for functions or p.d.f.s
 whose shape depends on the choice of normalization such as
 RooAddPdf
void setCacheCheck(Bool_t flag)
 Activate cache validation mode
Int_t getMaxVal(const RooArgSet& vars) const
 Advertise capability to determine maximum value of function for given set of
 observables. If no direct generator method is provided, this information
 will assist the accept/reject generator to operate more efficiently as
 it can skip the initial trial sampling phase to empirically find the function
 maximum
Double_t maxVal(Int_t code) const
 Return maximum value for set of observables identified by code assigned
 in getMaxVal
void logEvalError(const RooAbsReal* originator, const char* origName, const char* message, const char* serverValueString = 0)
 Interface to insert remote error logging messages received by RooRealMPFE into current error loggin stream
void logEvalError(const char* message, const char* serverValueString = 0) const
 Log evaluation error message. Evaluation errors may be routed through a different
 protocol than generic RooFit warning message (which go straight through RooMsgService)
 because evaluation errors can occur in very large numbers in the use of likelihood
 evaluations. In logEvalError mode, controlled by global method enableEvalErrorLogging()
 messages reported through this function are not printed but all stored in a list,
 along with server values at the time of reporting. Error messages logged in this
 way can be printed in a structured way, eliminating duplicates and with the ability
 to truncate the list by printEvalErrors. This is the standard mode of error logging
 during MINUIT operations. If enableEvalErrorLogging() is false, all errors
 reported through this method are passed for immediate printing through RooMsgService.
 A string with server names and values is constructed automatically for error logging
 purposes, unless a custom string with similar information is passed as argument.
void clearEvalErrorLog()
 Clear the stack of evaluation error messages
void printEvalErrors(ostream& os = std::cout, Int_t maxPerNode = 10000000)
 Print all outstanding logged evaluation error on the given ostream. If maxPerNode
 is zero, only the number of errors for each source (object with unique name) is listed.
 If maxPerNode is greater than zero, up to maxPerNode detailed error messages are shown
 per source of errors. A truncation message is shown if there were more errors logged
 than shown.
Int_t numEvalErrors()
 Return the number of logged evaluation errors since the last clearing.
void fixAddCoefNormalization(const RooArgSet& addNormSet = RooArgSet(), Bool_t force = kTRUE)
 Fix the interpretation of the coefficient of any RooAddPdf component in
 the expression tree headed by this object to the given set of observables.

 If the force flag is false, the normalization choice is only fixed for those
 RooAddPdf components that have the default 'automatic' interpretation of
 coefficients (i.e. the interpretation is defined by the observables passed
 to getVal()). If force is true, also RooAddPdf that already have a fixed
 interpretation are changed to a new fixed interpretation.
void fixAddCoefRange(const char* rangeName = 0, Bool_t force = kTRUE)
 Fix the interpretation of the coefficient of any RooAddPdf component in
 the expression tree headed by this object to the given set of observables.

 If the force flag is false, the normalization range choice is only fixed for those
 RooAddPdf components that currently use the default full domain to interpret their
 coefficients. If force is true, also RooAddPdf that already have a fixed
 interpretation range are changed to a new fixed interpretation range.
void preferredObservableScanOrder(const RooArgSet& obs, RooArgSet& orderedObs) const
 Interface method for function objects to indicate their prefferred order of observables
 for scanning their values into a (multi-dimensional) histogram or RooDataSet. The observables
 to be ordered are offered in argument 'obs' and should be copied in their preferred
 order into argument 'orderdObs', This default implementation indicates no preference
 and copies the original order of 'obs' into 'orderedObs'
RooAbsReal* createRunningIntegral(const RooArgSet& iset, const RooArgSet& nset = RooArgSet())
 Create a running integral over this function, i.e. given a f(x), create an object
 representing 'int[x_lo,x] f(x_prime) dx_prime'
RooAbsReal* createRunningIntegral(const RooArgSet& iset, 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())
 Create an object that represents the running integral of the function over one or more observables listed in iset, i.e.

   int[x_lo,x] f(x_prime) dx_prime

 The actual integration calculation is only performed when the return object is evaluated. The name
 of the integral object is automatically constructed from the name of the input function, the variables
 it integrates and the range integrates over. The default strategy to calculate the running integrals is

   - If the integrand (this object) supports analytical integration, construct an integral object
     that calculate the running integrals value by calculating the analytical integral each
     time the running integral object is evaluated

   - If the integrand (this object) requires numeric integration to construct the running integral
     create an object of class RooNumRunningInt which first samples the entire function and integrates
     the sampled function numerically. This method has superior performance as there is no need to
     perform a full (numeric) integration for each evaluation of the running integral object, but
     only when one of its parameters has changed.

 The choice of strategy can be changed with the ScanAll() argument, which forces the use of the
 scanning technique implemented in RooNumRunningInt for all use cases, and with the ScanNone()
 argument which forces the 'integrate each evaluation' technique for all use cases. The sampling
 granularity for the scanning technique can be controlled with the ScanParameters technique
 which allows to specify the number of samples to be taken, and to which order the resulting
 running integral should be interpolated. The default values are 1000 samples and 2nd order
 interpolation.

 The following named arguments are accepted

 SupNormSet(const RooArgSet&)         -- Observables over which should be normalized _in_addition_ to the
                                         integration observables
 ScanParameters(Int_t nbins,          -- Parameters for scanning technique of making CDF: number
                Int_t intOrder)          of sampled bins and order of interpolation applied on numeric cdf
 ScanNum()                            -- Apply scanning technique if cdf integral involves numeric integration
 ScanAll()                            -- Always apply scanning technique
 ScanNone()                           -- Never apply scanning technique
RooAbsReal* createScanRI(const RooArgSet& iset, const RooArgSet& nset, Int_t numScanBins, Int_t intOrder)
 Utility function for createRunningIntegral that construct an object
 implementing the numeric scanning technique for calculating the running integral
RooAbsReal* createIntRI(const RooArgSet& iset, const RooArgSet& nset = RooArgSet())
 Utility function for createRunningIntegral that construct an
 object implementing the standard (analytical) integration
 technique for calculating the running integral
RooFunctor* functor(const RooArgList& obs, const RooArgList& pars = RooArgList(), const RooArgSet& nset = RooArgSet()) const
 Return a RooFunctor object bound to this RooAbsReal with given definition of observables
 and parameters
TF1* asTF(const RooArgList& obs, const RooArgList& pars = RooArgList(), const RooArgSet& nset = RooArgSet()) const
 Return a ROOT TF1,2,3 object bound to this RooAbsReal with given definition of observables
 and parameters
RooDerivative* derivative(RooRealVar& obs, Int_t order = 1, Double_t eps = 0.001)
 Return function representing first, second or third order derivative of this function
RooDerivative* derivative(RooRealVar& obs, const RooArgSet& normSet, Int_t order, Double_t eps = 0.001)
 Return function representing first, second or third order derivative of this function
RooAbsMoment* moment(RooRealVar& obs, Int_t order, Bool_t central, Bool_t takeRoot)
 Return function representing moment of function of given order. If central is
 true, the central moment is given <(x-<x>)^2>
RooAbsMoment* moment(RooRealVar& obs, const RooArgSet& normObs, Int_t order, Bool_t central, Bool_t takeRoot, Bool_t intNormObs)
 Return function representing moment of p.d.f (normalized w.r.t given observables) of given order. If central is
 true, the central moment is given <(x-<x>)^2>. If intNormObs is true, the moment of the function integrated over
 all normalization observables is returned.
Double_t findRoot(RooRealVar& x, Double_t xmin, Double_t xmax, Double_t yval)
 Return value of x (in range xmin,xmax) at which function equals yval.
 (Calculation is performed with Brent root finding algorithm)
RooGenFunction* iGenFunction(RooRealVar& x, const RooArgSet& nset = RooArgSet())
RooMultiGenFunction* iGenFunction(const RooArgSet& observables, const RooArgSet& nset = RooArgSet())
RooFitResult* chi2FitTo(RooDataHist& data, 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())
 Perform a chi^2 fit to given histogram By default the fit is executed through the MINUIT
 commands MIGRAD, HESSE in succession

 The following named arguments are supported

 Options to control construction of -log(L)

 Range(const char* name)         -- Fit only data inside range with given name
 Range(Double_t lo, Double_t hi) -- Fit only data inside given range. A range named "fit" is created on the fly on all observables.
                                    Multiple comma separated range names can be specified.
 NumCPU(int num)                 -- Parallelize NLL calculation on num CPUs
 Optimize(Bool_t flag)           -- Activate constant term optimization (on by default)

 Options to control flow of fit procedure

 InitialHesse(Bool_t flag)      -- Flag controls if HESSE before MIGRAD as well, off by default
 Hesse(Bool_t flag)             -- Flag controls if HESSE is run after MIGRAD, on by default
 Minos(Bool_t flag)             -- Flag controls if MINOS is run after HESSE, on by default
 Minos(const RooArgSet& set)    -- Only run MINOS on given subset of arguments
 Save(Bool_t flag)              -- Flac controls if RooFitResult object is produced and returned, off by default
 Strategy(Int_t flag)           -- Set Minuit strategy (0 through 2, default is 1)
 FitOptions(const char* optStr) -- Steer fit with classic options string (for backward compatibility). Use of this option
                                   excludes use of any of the new style steering options.

 Options to control informational output

 Verbose(Bool_t flag)           -- Flag controls if verbose output is printed (NLL, parameter changes during fit
 Timer(Bool_t flag)             -- Time CPU and wall clock consumption of fit steps, off by default
 PrintLevel(Int_t level)        -- Set Minuit print level (-1 through 3, default is 1). At -1 all RooFit informational
                                   messages are suppressed as well
 Warnings(Bool_t flag)          -- Enable or disable MINUIT warnings (enabled by default)
 PrintEvalErrors(Int_t numErr)  -- Control number of p.d.f evaluation errors printed per likelihood evaluation. A negative
                                   value suppress output completely, a zero value will only print the error count per p.d.f component,
                                   a positive value is will print details of each error up to numErr messages per p.d.f component.


RooFitResult* chi2FitTo(RooDataHist& data, const RooLinkedList& cmdList)
 Internal back-end function to steer chi2 fits
RooAbsReal* createChi2(RooDataHist& data, 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())
 Create a chi-2 from a histogram and this function.

 The following named arguments are supported

  Options to control construction of the chi^2

  DataError(RooAbsData::ErrorType)  -- Choose between Poisson errors and Sum-of-weights errors
  NumCPU(Int_t)                     -- Activate parallel processing feature on N processes
  Range()                           -- Calculate Chi2 only in selected region
RooAbsReal* createChi2(RooDataHist& data, const RooLinkedList& cmdList)
 Internal back-end function to create a chi2
RooFitResult* chi2FitTo(RooDataSet& xydata, 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())
 Create a chi-2 from a series of x and y value stored in a dataset.
 The y values can either be the event weights, or can be another column designated
 by the YVar() argument. The y value must have errors defined for the chi-2 to
 be well defined.

 The following named arguments are supported

 Options to control construction of the chi^2

 YVar(RooRealVar& yvar)          -- Designate given column in dataset as Y value
 Integrate(Bool_t flag)          -- Integrate function over range specified by X errors
                                    rather than take value at bin center.

 Options to control flow of fit procedure

 InitialHesse(Bool_t flag)      -- Flag controls if HESSE before MIGRAD as well, off by default
 Hesse(Bool_t flag)             -- Flag controls if HESSE is run after MIGRAD, on by default
 Minos(Bool_t flag)             -- Flag controls if MINOS is run after HESSE, on by default
 Minos(const RooArgSet& set)    -- Only run MINOS on given subset of arguments
 Save(Bool_t flag)              -- Flac controls if RooFitResult object is produced and returned, off by default
 Strategy(Int_t flag)           -- Set Minuit strategy (0 through 2, default is 1)
 FitOptions(const char* optStr) -- Steer fit with classic options string (for backward compatibility). Use of this option
                                   excludes use of any of the new style steering options.

 Options to control informational output

 Verbose(Bool_t flag)           -- Flag controls if verbose output is printed (NLL, parameter changes during fit
 Timer(Bool_t flag)             -- Time CPU and wall clock consumption of fit steps, off by default
 PrintLevel(Int_t level)        -- Set Minuit print level (-1 through 3, default is 1). At -1 all RooFit informational
                                   messages are suppressed as well
 Warnings(Bool_t flag)          -- Enable or disable MINUIT warnings (enabled by default)
 PrintEvalErrors(Int_t numErr)  -- Control number of p.d.f evaluation errors printed per likelihood evaluation. A negative
                                   value suppress output completely, a zero value will only print the error count per p.d.f component,
                                   a positive value is will print details of each error up to numErr messages per p.d.f component.
RooFitResult* chi2FitTo(RooDataSet& xydata, const RooLinkedList& cmdList)
 Internal back-end function to steer chi2 fits
RooAbsReal* createChi2(RooDataSet& data, 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())
 Create a chi-2 from a series of x and y value stored in a dataset.
 The y values can either be the event weights (default), or can be another column designated
 by the YVar() argument. The y value must have errors defined for the chi-2 to
 be well defined.

 The following named arguments are supported

 Options to control construction of the chi^2

 YVar(RooRealVar& yvar)          -- Designate given column in dataset as Y value
 Integrate(Bool_t flag)          -- Integrate function over range specified by X errors
                                    rather than take value at bin center.

RooAbsReal* createChi2(RooDataSet& data, const RooLinkedList& cmdList)
 Internal back-end function to create a chi^2 from a function and a dataset
RooFitResult* chi2FitDriver(RooAbsReal& fcn, RooLinkedList& cmdList)
 Internal driver function for chi2 fits
void setEvalErrorLoggingMode(RooAbsReal::ErrorLoggingMode m)
 Set evaluation error logging mode. Options are

 PrintErrors - Print each error through RooMsgService() as it occurs
 CollectErrors - Accumulate errors, but do not print them. A subsequent call
                 to printEvalErrors() will print a summary
 CountErrors - Accumulate error count, but do not print them.

void setParameterizeIntegral(const RooArgSet& paramVars)
Double_t getVal(const RooArgSet* set = 0) const
 Return value and unit accessors
Double_t getVal(const RooArgSet& set) const
{ return _fast ? _value : getValV(&set) ; }
const Text_t * getUnit() const
 Return string with unit description
void setUnit(const char* unit)
 Set unit description to given string
Bool_t forceAnalyticalInt(const RooAbsArg& ) const
 Interface to force RooRealIntegral to offer given observable for internal integration
 even if this is deemed unsafe. This default implementation returns always flase
void forceNumInt(Bool_t flag = kTRUE)
 If flag is true, all advertised analytical integrals will be ignored
 and all integrals are calculated numerically
Bool_t getForceNumInt() const
{ return _forceNumInt ; }
RooAbsReal* createIntegral(const RooArgSet& iset, 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()) const
 Create integral over observables in iset in range named rangeName
return createIntegral(iset,0,0,rangeName)
RooAbsReal* createIntegral(const RooArgSet& iset, const RooArgSet& nset, const char* rangeName = 0) const
 Create integral over observables in iset in range named rangeName with integrand normalized over observables in nset
return createIntegral(iset,&nset,0,rangeName)
Int_t minTrialSamples(const RooArgSet& ) const
{ return 0 ; }
Double_t defaultErrorLevel() const
 Return default level for MINUIT error analysis
ErrorLoggingMode evalErrorLoggingMode()
EvalErrorIter evalErrorIter()
Bool_t isBinnedDistribution(const RooArgSet& ) const
{ return kFALSE ; }
std::list<Double_t>* binBoundaries(RooAbsRealLValue& , Double_t , Double_t ) const
{ return 0 ; }
std::list<Double_t>* plotSamplingHint(RooAbsRealLValue& , Double_t , Double_t ) const
 Interface for returning an optional hint for initial sampling points when constructing a curve
 projected on observable.
RooAbsMoment* mean(RooRealVar& obs)
{ return moment(obs,1,kFALSE,kFALSE) ; }
RooAbsMoment* mean(RooRealVar& obs, const RooArgSet& nset)
{ return moment(obs,nset,1,kFALSE,kFALSE,kTRUE) ; }
RooAbsMoment* sigma(RooRealVar& obs)
{ return moment(obs,2,kTRUE,kTRUE) ; }
RooAbsMoment* sigma(RooRealVar& obs, const RooArgSet& nset)
{ return moment(obs,nset,2,kTRUE,kTRUE,kTRUE) ; }
Bool_t setData(RooAbsData& , Bool_t = kTRUE)
{ return kTRUE ; }
void enableOffsetting(Bool_t )
{}
Bool_t isOffsetting() const
{ return kFALSE ; }
Double_t offset() const
{ return 0 ; }
Bool_t traceEvalHook(Double_t ) const
 Hook function to add functionality to evaluation tracing in derived classes
Double_t evaluate() const
void syncCache(const RooArgSet* set = 0)
{ getVal(set) ; }
void selectComp(Bool_t flag)
 If flag is true, only selected component will be included in evaluates of RooAddPdf components