52#ifndef ROO_LAGRANGIAN_MORPH
53#define ROO_LAGRANGIAN_MORPH
80 typedef std::map<const std::string, double>
ParamSet;
81 typedef std::map<const std::string, int>
FlagSet;
82 typedef std::map<const std::string, ParamSet>
ParamMap;
83 typedef std::map<const std::string, FlagSet>
FlagMap;
117 const char *rangeName =
nullptr)
const override;
177 void setup(
bool ownParams =
true);
199 std::map<std::string, std::string>
201 std::map<std::string, std::string>
203 std::map<std::string, std::string>
206 const std::vector<std::vector<std::string>> &nonInterfering);
209 const std::vector<std::vector<std::string>> &nonInterfering);
231 std::unique_ptr<RooWrapperPdf>
createPdf()
const;
#define ClassDefOverride(name, id)
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t winding char text const char depth char const char Int_t count const char ColorStruct_t color const char filename
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void value
Option_t Option_t TPoint TPoint const char mode
Common abstract base class for objects that represent a value and a "shape" in RooFit.
RooAbsRealLValue is the common abstract base class for objects that represent a real value that may a...
Abstract base class for objects that represent a real value and implements functionality common to al...
RooArgList is a container object that can hold multiple RooAbsArg objects.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Class RooLagrangianMorphing is a implementation of the method of Effective Lagrangian Morphing,...
static constexpr double implementedPrecision
length of floating point digits precision supported by implementation.
bool isParameterConstant(const char *paramname) const
return true if the parameter with the given name is set constant, false otherwise
bool isBinnedDistribution(const RooArgSet &obs) const override
check if this PDF is a binned distribution in the given observable
int nPolynomials() const
return the number of samples in this morphing function
void setParameter(const char *name, double value)
set one parameter to a specific value
RooArgSet createWeights(const ParamMap &inputs, const std::vector< RooArgList * > &vertices, RooArgList &couplings, const FlagMap &inputFlags, const RooArgList &flags, const std::vector< std::vector< std::string > > &nonInterfering)
create only the weight formulas. static function for external usage.
ParamSet getMorphParameters() const
retrieve the parameter set
double evaluate() const override
call getVal on the internal function
void disableInterference(const std::vector< const char * > &nonInterfering)
disable interference between terms
RooProduct * getSumElement(const char *name) const
return the RooProduct that is the element of the RooRealSumPdfi corresponding to the given sample nam...
void insert(RooWorkspace *ws)
RooRealVar * getBinWidth() const
retrieve the histogram observable
void writeMatrixToFile(const TMatrixD &matrix, const char *fname)
write a matrix to a file
RooRealVar * getParameter(const char *name) const
retrieve the RooRealVar object incorporating the parameter with the given name
bool useCoefficients(const TMatrixD &inverse)
setup the morphing function with a predefined inverse matrix call this function before any other afte...
const RooArgSet * getParameterSet() const
get the set of parameters
std::map< const std::string, int > FlagSet
TMatrixD readMatrixFromStream(std::istream &stream)
read a matrix from a stream
std::vector< std::vector< std::string > > _nonInterfering
std::vector< std::string > getSamples() const
return the vector of sample names, used to build the morph func
int countSamples(std::vector< RooArgList * > &vertices)
calculate the number of samples needed to morph a certain physics process
void setCacheAndTrackHints(RooArgSet &) override
Retrieve the matrix of coefficients.
ParamSet getCouplings() const
retrieve a set of couplings (-?-)
void printSampleWeights() const
print the current sample weights
std::map< const std::string, double > ParamSet
RooLagrangianMorphFunc * getLinear() const
void writeMatrixToStream(const TMatrixD &matrix, std::ostream &stream)
write a matrix to a stream
std::map< const std::string, ParamSet > ParamMap
bool updateCoefficients()
Retrieve the new physics objects and update the weights in the morphing function.
double _scale
The cache manager.
RooRealVar * getObservable() const
retrieve the histogram observable
int countContributingFormulas() const
count the number of formulas that correspond to the current parameter set
std::list< double > * plotSamplingHint(RooAbsRealLValue &, double, double) const override
retrieve the sample Hint
RooRealVar * getFlag(const char *name) const
retrieve the RooRealVar object incorporating the flag with the given name
void randomizeParameters(double z)
randomize the parameters a bit useful to test and debug fitting
bool isCouplingUsed(const char *couplname)
check if there is any morphing power provided for the given coupling morphing power is provided as so...
void readParameters(TDirectory *f)
read the parameters from the input file
double getScale()
get energy scale of the EFT expansion
double getCondition() const
Retrieve the condition of the coefficient matrix.
TMatrixD getMatrix() const
Retrieve the matrix of coefficients.
void printWeights() const
print the current sample weights
void printCouplings() const
print a set of couplings
TMatrixD readMatrixFromFile(const char *fname)
read a matrix from a text file
~RooLagrangianMorphFunc() override
default destructor
void printParameters() const
print the parameters and their current values
void printPhysics() const
print the current physics values
static std::unique_ptr< RooRatio > makeRatio(const char *name, const char *title, RooArgList &nr, RooArgList &dr)
Return the RooRatio form of products and denominators of morphing functions.
void setFlag(const char *name, double value)
set one flag to a specific value
TH1 * createTH1(const std::string &name)
retrieve a histogram output of the current morphing settings
double expectedUncertainty() const
return the expected uncertainty for the current parameter set
int nParameters() const
return the number of parameters in this morphing function
bool hasParameter(const char *paramname) const
check if a parameter of the given name is contained in the list of known parameters
bool checkObservables(const RooArgSet *nset) const override
check if observable exists in the RooArgSet (-?-)
bool hasCache() const
return true if a cache object is present, false otherwise
void printFlags() const
print the flags and their current values
void setScale(double val)
set energy scale of the EFT expansion
TMatrixD getInvertedMatrix() const
Retrieve the matrix of coefficients after inversion.
double analyticalIntegralWN(Int_t code, const RooArgSet *normSet, const char *rangeName=nullptr) const override
Retrieve the matrix of coefficients.
RooAbsArg::CacheMode canNodeBeCached() const override
Retrieve the matrix of coefficients.
void updateSampleWeights()
update sample weight (-?-)
void setParameters(const char *foldername)
set the morphing parameters to those supplied in the sample with the given name
RooObjCacheManager _cacheMgr
bool isParameterUsed(const char *paramname) const
check if there is any morphing power provided for the given parameter morphing power is provided as s...
RooListProxy _observables
RooAbsPdf::ExtendMode extendMode() const
return extended mored capabilities
std::map< const std::string, FlagSet > FlagMap
bool selfNormalized() const
bool forceAnalyticalInt(const RooAbsArg &arg) const override
Force analytical integration for the given observable.
void setParameterConstant(const char *paramname, bool constant) const
call setConstant with the boolean argument provided on the parameter with the given name
void disableInterferences(const std::vector< std::vector< const char * > > &nonInterfering)
disable interference between terms
void printSamples() const
print all the known samples to the console
double getParameterValue(const char *name) const
set one parameter to a specific value
void setup(bool ownParams=true)
setup this instance with the given set of operators and vertices if own=true, the class will own the ...
void printMetaArgs(std::ostream &os) const override
Retrieve the matrix of coefficients.
std::unique_ptr< RooWrapperPdf > createPdf() const
(currently similar to cloning the Pdf
RooAbsReal * getSampleWeight(const char *name)
retrieve the weight (prefactor) of a sample with the given name
std::map< std::string, std::string > createWeightStrings(const ParamMap &inputs, const std::vector< std::vector< std::string > > &vertices)
create only the weight formulas. static function for external usage.
Int_t getAnalyticalIntegralWN(RooArgSet &allVars, RooArgSet &numVars, const RooArgSet *normSet, const char *rangeName=nullptr) const override
Retrieve the mat.
std::vector< std::vector< RooListProxy * > > _diagrams
double expectedEvents() const
return the number of expected events for the current parameter set
std::map< std::string, int > _sampleMap
TObject * clone(const char *newname) const override
RooLagrangianMorphFunc::CacheElem * getCache() const
retrieve the cache object
RooRealVar * setupObservable(const char *obsname, TClass *mode, TObject *inputExample)
setup observable, recycle existing observable if defined
const RooArgList * getCouplingSet() const
get the set of couplings
RooRealSumFunc * getFunc() const
get the func
std::list< double > * binBoundaries(RooAbsRealLValue &, double, double) const override
retrieve the list of bin boundaries
void printEvaluation() const
print the contributing samples and their respective weights
bool writeCoefficients(const char *filename)
write the inverse matrix to a file
void collectInputs(TDirectory *f)
retrieve the physics inputs
void init()
initialise inputs required for the morphing function
Class RooObjCacheManager is an implementation of class RooCacheManager<RooAbsCacheElement> and specia...
A RooProduct represents the product of a given set of RooAbsReal objects.
RooRealVar represents a variable that can be changed from the outside.
Persistable container for RooFit projects.
TClass instances represent classes, structs and namespaces in the ROOT type system.
Describe directory structure in memory.
<div class="legacybox"><h2>Legacy Code</h2> TFolder is a legacy interface: there will be no bug fixes...
TH1 is the base class of all histogram classes in ROOT.
Mother of all ROOT objects.
Class used by TMap to store (key,value) pairs.
std::string observableName
std::vector< std::string > folderNames
std::vector< std::vector< const char * > > nonInterfering
std::vector< RooArgList * > vertices