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Rivet 4.0.0

This is the base class of all analysis classes in Rivet. More...

#include <Analysis.hh>

Inheritance diagram for Rivet::Analysis:
Rivet::ProjectionApplier Rivet::CumulantAnalysis Rivet::MC_JETS_BASE Rivet::MC_KTSPLITTINGS_BASE Rivet::MC_PARTICLES_BASE

Public Member Functions

 Analysis (const std::string &name)
 Constructor.
 
virtual ~Analysis ()
 The destructor.
 
Analysisoperator= (const Analysis &)=delete
 The assignment operator is private and must be deleted, so it can never be called.
 
AnalysisHandlerhandler () const
 Access the controlling AnalysisHandler object.
 
double dbl (double x)
 
double dbl (const YODA::Counter &c)
 
double dbl (const YODA::Estimate0D &e)
 
double dbl (const YODA::Scatter1D &s)
 
const vector< MultiplexAOPtr > & analysisObjects () const
 List of registered analysis data objects.
 
void markAsOwned () const
 Mark this object as owned by a proj-handler.
 
Main analysis methods
virtual void init ()
 
virtual void analyze (const Event &event)=0
 
virtual void finalize ()
 
void syncDeclQueue ()
 
Metadata

Metadata is used for querying from the command line and also for building web pages and the analysis pages in the Rivet manual.

void loadInfo ()
 Get the AnalysisInfo object to parse its info file in which the metadata is stored.
 
const AnalysisInfoinfo () const
 Get the actual AnalysisInfo object in which all this metadata is stored.
 
virtual std::string name () const
 Get the name of the analysis.
 
std::string analysisDataPath (const std::string &extn, const std::string &suffix="")
 Get the path to a data file associated with this analysis.
 
virtual std::string inspireID () const
 Get the Inspire ID code for this analysis.
 
virtual std::string spiresID () const
 Get the SPIRES ID code for this analysis (~deprecated).
 
virtual std::vector< std::string > authors () const
 Names & emails of paper/analysis authors.
 
virtual std::string summary () const
 Get a short description of the analysis.
 
virtual std::string description () const
 Get a full description of the analysis.
 
virtual std::string runInfo () const
 Information about the events needed as input for this analysis.
 
virtual std::string experiment () const
 Experiment which performed and published this analysis.
 
virtual std::string collider () const
 Collider on which the experiment ran.
 
virtual std::string year () const
 When the original experimental analysis was published.
 
virtual double luminosityfb () const
 The integrated luminosity in inverse femtobarn.
 
virtual double luminosity () const
 The integrated luminosity in inverse picobarn.
 
double luminositypb () const
 The integrated luminosity in inverse picobarn.
 
virtual std::vector< std::string > references () const
 Journal, and preprint references.
 
virtual std::string bibKey () const
 BibTeX citation key for this article.
 
virtual std::string bibTeX () const
 BibTeX citation entry for this article.
 
virtual std::string status () const
 Whether this analysis is trusted (in any way!)
 
virtual std::string warning () const
 A warning message from the info file, if there is one.
 
virtual std::vector< std::string > todos () const
 Any work to be done on this analysis.
 
virtual std::vector< std::string > validation () const
 make-style commands for validating this analysis.
 
virtual bool reentrant () const
 Does this analysis have a reentrant finalize()?
 
virtual const std::vector< std::string > & keywords () const
 Get vector of analysis keywords.
 
virtual std::string refMatch () const
 Positive filtering regex for ref-data HepData sync.
 
virtual std::string refUnmatch () const
 Negative filtering regex for ref-data HepData sync.
 
virtual std::string writerDoublePrecision () const
 Positive filtering regex for setting double precision in Writer.
 
virtual const std::vector< PdgIdPair > & requiredBeamIDs () const
 Return the allowed pairs of incoming beams required by this analysis.
 
virtual AnalysissetRequiredBeamIDs (const std::vector< PdgIdPair > &beamids)
 Declare the allowed pairs of incoming beams required by this analysis.
 
virtual const std::vector< std::pair< double, double > > & requiredBeamEnergies () const
 Sets of valid beam energy pairs, in GeV.
 
virtual AnalysissetRequiredBeamEnergies (const std::vector< std::pair< double, double > > &energies)
 Declare the list of valid beam energy pairs, in GeV.
 
virtual std::string refFile () const
 Location of reference data YODA file.
 
virtual std::string refDataName () const
 Get name of reference data file, which could be different from plugin name.
 
virtual void setRefDataName (const std::string &ref_data="")
 Set name of reference data file, which could be different from plugin name.
 
AnalysisInfoinfo ()
 Get the actual AnalysisInfo object in which all this metadata is stored (non-const).
 
Run conditions
bool merging () const
 Check if we are running rivet-merge.
 
bool compatibleWithRun () const
 Check if the given conditions are compatible with this analysis' declared constraints.
 
Analysis / beam compatibility testing
const ParticlePairbeams () const
 Incoming beams for this run.
 
PdgIdPair beamIDs () const
 Incoming beam IDs for this run.
 
pair< double, double > beamEnergies () const
 Incoming beam energies for this run.
 
double sqrtS () const
 Centre of mass energy for this run.
 
bool beamsMatch (const ParticlePair &beams) const
 Check if analysis is compatible with the provided beam particle IDs and energies.
 
bool beamsMatch (PdgId beam1, PdgId beam2, double e1, double e2) const
 Check if analysis is compatible with the provided beam particle IDs and energies.
 
bool beamsMatch (const PdgIdPair &beams, const std::pair< double, double > &energies) const
 Check if analysis is compatible with the provided beam particle IDs and energies in GeV.
 
bool beamIDsMatch (PdgId beam1, PdgId beam2) const
 Check if analysis is compatible with the provided beam particle IDs.
 
bool beamIDsMatch (const PdgIdPair &beamids) const
 Check if analysis is compatible with the provided beam particle IDs.
 
bool beamEnergiesMatch (double e1, double e2) const
 Check if analysis is compatible with the provided beam energies.
 
bool beamEnergiesMatch (const std::pair< double, double > &energies) const
 Check if analysis is compatible with the provided beam energies.
 
bool beamEnergyMatch (const std::pair< double, double > &energies) const
 Check if analysis is compatible with the provided CoM energy.
 
bool beamEnergyMatch (double sqrts) const
 Check if analysis is compatible with the provided CoM energy.
 
bool isCompatibleWithSqrtS (double energy, double tolerance=1e-5) const
 Check if sqrtS is compatible with provided value.
 
Accessing options for this Analysis instance.
const std::map< std::string, std::string > & options () const
 Return the map of all options given to this analysis.
 
std::string getOption (std::string optname, string def="") const
 Get an option for this analysis instance as a string.
 
std::string getOption (std::string optname, const char *def)
 Sane overload for literal character strings (which don't play well with stringstream)
 
template<typename T >
getOption (std::string optname, T def) const
 Get an option for this analysis instance converted to a specific type.
 
bool getOption (std::string optname, bool def) const
 Get an option for this analysis instance converted to a bool.
 
Booking heavy ion features
const CentralityProjectiondeclareCentrality (const SingleValueProjection &proj, string calAnaName, string calHistName, const string projName, PercentileOrder pctorder=PercentileOrder::DECREASING)
 Book a CentralityProjection.
 
template<typename T >
Percentile< T > book (const string &projName, const vector< pair< double, double > > &centralityBins, const vector< tuple< size_t, size_t, size_t > > &ref)
 Book a Percentile Multiplexer around AnalysisObjects.
 
Projection "getting" functions
std::set< ConstProjectionPtr > getProjections () const
 Get the contained projections, including recursion.
 
std::set< ConstProjectionPtr > getImmediateChildProjections () const
 Get the contained projections, excluding recursion.
 
bool hasProjection (const std::string &name) const
 Does this applier have a projection registered under the name name?
 
template<typename PROJ >
const PROJ & getProjection (const std::string &name) const
 
const ProjectiongetProjection (const std::string &name) const
 
template<typename PROJ >
const PROJ & get (const std::string &name) const
 
template<typename PROJ >
const PROJ & getProjectionFromDeclQueue (const std::string name) const
 
Projection applying functions
template<typename PROJ = Projection>
std::enable_if_t< std::is_base_of< Projection, PROJ >::value, const PROJ & > apply (const Event &evt, const Projection &proj) const
 Apply the supplied projection on event evt.
 
template<typename PROJ = Projection>
std::enable_if_t< std::is_base_of< Projection, PROJ >::value, const PROJ & > apply (const Event &evt, const PROJ &proj) const
 Apply the supplied projection on event evt (user-facing alias).
 
template<typename PROJ = Projection>
std::enable_if_t< std::is_base_of< Projection, PROJ >::value, const PROJ & > apply (const Event &evt, const std::string &name) const
 Apply the supplied projection on event evt (user-facing alias).
 
template<typename PROJ = Projection>
std::enable_if_t< std::is_base_of< Projection, PROJ >::value, const PROJ & > apply (const std::string &name, const Event &evt) const
 Apply the supplied projection on event evt (convenience arg-reordering alias).
 

Protected Member Functions

LoggetLog () const
 Get a Log object based on the name() property of the calling analysis object.
 
double crossSection () const
 Get the process cross-section in pb. Throws if this hasn't been set.
 
double crossSectionPerEvent () const
 
double crossSectionError () const
 Get the process cross-section error in pb. Throws if this hasn't been set.
 
double crossSectionErrorPerEvent () const
 
size_t numEvents () const
 Get the number of events seen (via the analysis handler).
 
double sumW () const
 Get the sum of event weights seen (via the analysis handler).
 
double sumOfWeights () const
 Alias.
 
double sumW2 () const
 Get the sum of squared event weights seen (via the analysis handler).
 
const std::string histoDir () const
 Get the canonical histogram "directory" path for this analysis.
 
const std::string histoPath (const std::string &hname) const
 Get the canonical histogram path for the named histogram in this analysis.
 
const std::string histoPath (unsigned int datasetID, unsigned int xAxisID, unsigned int yAxisID) const
 Get the canonical histogram path for the numbered histogram in this analysis.
 
const std::string mkAxisCode (unsigned int datasetID, unsigned int xAxisID, unsigned int yAxisID) const
 Get the internal histogram name for given d, x and y (cf. HepData)
 
CounterPtrbook (CounterPtr &, const std::string &name)
 Book a counter.
 
CounterPtrbook (CounterPtr &, unsigned int datasetID, unsigned int xAxisID, unsigned int yAxisID)
 
CutflowPtrbook (CutflowPtr &ao, const string &name, const std::vector< std::string > &edges)
 Book a Cutflow object defined by the vector of edges.
 
CutflowPtrbook (CutflowPtr &ao, const string &name, const std::initializer_list< std::string > &edges)
 Book a Cutflow object defined by the vector of edges.
 
ProjectionHandlergetProjHandler () const
 Get a reference to the ProjectionHandler for this thread.
 
void setProjectionHandler (ProjectionHandler &projectionHandler) const
 
Auxiliary HDF5 reference data
H5::File auxFile () const
 Read in an aux data HDF5 file.
 
template<typename T >
bool auxData (const string &dsname, T &rtndata)
 Read HDF5 file filename.
 
template<typename T >
auxData (const string &dsname)
 
Histogram reference data
const std::map< std::string, YODA::AnalysisObjectPtr > & refData () const
 Get all reference data objects for this analysis.
 
template<typename T = YODA::Estimate1D>
const T & refData (const string &hname) const
 
template<typename T = YODA::Estimate1D>
const T & refData (unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId) const
 
Estimate booking
Estimate0DPtrbook (Estimate0DPtr &, const std::string &name)
 Book an estimate.
 
Estimate0DPtrbook (Estimate0DPtr &, unsigned int datasetID, unsigned int xAxisID, unsigned int yAxisID)
 
BinnedDbn booking
template<size_t DbnN, typename... AxisT, typename = YODA::enable_if_all_CAxisT<AxisT...>>
BinnedDbnPtr< DbnN, AxisT... > & book (BinnedDbnPtr< DbnN, AxisT... > &ao, const std::string &name, const std::vector< size_t > &nbins, const std::vector< std::pair< double, double > > &loUpPairs)
 Book a ND histogram with nbins uniformly distributed across the range lower - upper .
 
Histo1DPtrbook (Histo1DPtr &ao, const std::string &name, const size_t nbins, const double lower, const double upper)
 
Profile1DPtrbook (Profile1DPtr &ao, const std::string &name, const size_t nbins, const double lower, const double upper)
 
Histo2DPtrbook (Histo2DPtr &ao, const std::string &name, const size_t nbinsX, const double lowerX, const double upperX, const size_t nbinsY, const double lowerY, const double upperY)
 
Profile2DPtrbook (Profile2DPtr &ao, const std::string &name, const size_t nbinsX, const double lowerX, const double upperX, const size_t nbinsY, const double lowerY, const double upperY)
 
Histo3DPtrbook (Histo3DPtr &ao, const std::string &name, const size_t nbinsX, const double lowerX, const double upperX, const size_t nbinsY, const double lowerY, const double upperY, const size_t nbinsZ, const double lowerZ, const double upperZ)
 
Profile3DPtrbook (Profile3DPtr &ao, const std::string &name, const size_t nbinsX, const double lowerX, const double upperX, const size_t nbinsY, const double lowerY, const double upperY, const size_t nbinsZ, const double lowerZ, const double upperZ)
 
template<size_t DbnN, typename... AxisT>
BinnedDbnPtr< DbnN, AxisT... > & book (BinnedDbnPtr< DbnN, AxisT... > &ao, const std::string &name, const std::vector< AxisT > &... binedges)
 Book a ND histogram with non-uniform bins defined by the vector of bin edges binedges .
 
template<size_t DbnN, typename... AxisT>
BinnedDbnPtr< DbnN, AxisT... > & book (BinnedDbnPtr< DbnN, AxisT... > &ao, const std::string &name, const std::initializer_list< AxisT > &... binedges)
 Book a ND histogram with non-uniform bins defined by the vector of bin edges binedges .
 
template<size_t DbnN, typename... AxisT>
BinnedDbnPtr< DbnN, AxisT... > & book (BinnedDbnPtr< DbnN, AxisT... > &ao, const std::string &name, const YODA::BinnedEstimate< AxisT... > &refest)
 Book a ND histogram with binning from a reference scatter.
 
template<size_t DbnN, typename... AxisT>
BinnedDbnPtr< DbnN, AxisT... > & book (BinnedDbnPtr< DbnN, AxisT... > &ao, const std::string &name)
 Book a ND histogram, using the binnings in the reference data histogram.
 
template<size_t DbnN, typename... AxisT>
BinnedDbnPtr< DbnN, AxisT... > & book (BinnedDbnPtr< DbnN, AxisT... > &ao, const unsigned int datasetID, const unsigned int xAxisID, const unsigned int yAxisID)
 
HistoGroup booking
template<typename GroupAxisT , typename... AxisT>
HistoGroupPtr< GroupAxisT, AxisT... > & book (HistoGroupPtr< GroupAxisT, AxisT... > &ao, const std::vector< GroupAxisT > &edges, const std::vector< std::string > &names)
 
template<typename GroupAxisT , typename... AxisT>
HistoGroupPtr< GroupAxisT, AxisT... > & book (HistoGroupPtr< GroupAxisT, AxisT... > &ao, const std::vector< GroupAxisT > &edges)
 
template<typename GroupAxisT , typename... AxisT>
HistoGroupPtr< GroupAxisT, AxisT... > & book (HistoGroupPtr< GroupAxisT, AxisT... > &ao, std::initializer_list< GroupAxisT > &&edges)
 
BinnedEstimate booking
template<typename... AxisT, typename = YODA::enable_if_all_CAxisT<AxisT...>>
BinnedEstimatePtr< AxisT... > & book (BinnedEstimatePtr< AxisT... > &ao, const std::string &name, const std::vector< size_t > &nbins, const std::vector< std::pair< double, double > > &loUpPairs)
 Book a ND estimate with nbins uniformly distributed across the range lower - upper .
 
Estimate1DPtrbook (Estimate1DPtr &ao, const std::string &name, const size_t nbins, const double lower, const double upper)
 
Estimate2DPtrbook (Estimate2DPtr &ao, const std::string &name, const size_t nbinsX, const double lowerX, const double upperX, const size_t nbinsY, const double lowerY, const double upperY)
 
Estimate3DPtrbook (Estimate3DPtr &ao, const std::string &name, const size_t nbinsX, const double lowerX, const double upperX, const size_t nbinsY, const double lowerY, const double upperY, const size_t nbinsZ, const double lowerZ, const double upperZ)
 
template<typename... AxisT>
BinnedEstimatePtr< AxisT... > & book (BinnedEstimatePtr< AxisT... > &ao, const std::string &name, const std::vector< AxisT > &... binedges)
 Book a ND estimate with non-uniform bins defined by the vector of bin edges binedges .
 
template<typename... AxisT>
BinnedEstimatePtr< AxisT... > & book (BinnedEstimatePtr< AxisT... > &ao, const std::string &name, const std::initializer_list< AxisT > &... binedges)
 Book a ND estimate with non-uniform bins defined by the vector of bin edges binedges .
 
template<typename... AxisT>
BinnedEstimatePtr< AxisT... > & book (BinnedEstimatePtr< AxisT... > &ao, const std::string &name)
 Book a ND estimate, using the binnings in the reference data histogram.
 
template<typename... AxisT>
BinnedEstimatePtr< AxisT... > & book (BinnedEstimatePtr< AxisT... > &ao, const unsigned int datasetID, const unsigned int xAxisID, const unsigned int yAxisID)
 
Scatter booking
template<size_t N>
ScatterNDPtr< N > & book (ScatterNDPtr< N > &snd, const string &name, const bool copy_pts=false)
 Book a N-dimensional data point set with the given name.
 
template<size_t N>
ScatterNDPtr< N > & book (ScatterNDPtr< N > &snd, const unsigned int datasetID, const unsigned int xAxisID, const unsigned int yAxisID, const bool copy_pts=false)
 Book a N-dimensional data point set, using the binnings in the reference data histogram.
 
Scatter2DPtrbook (Scatter2DPtr &snd, const string &name, const size_t npts, const double lower, const double upper)
 Book a N-dimensional data point set with equally spaced x-points in a range.
 
Scatter3DPtrbook (Scatter3DPtr &snd, const string &name, const size_t nptsX, const double lowerX, const double upperX, const size_t nptsY, const double lowerY, const double upperY)
 
Scatter2DPtrbook (Scatter2DPtr &snd, const string &name, const std::vector< double > &binedges)
 Book a 2-dimensional data point set based on provided contiguous "bin edges".
 
Scatter3DPtrbook (Scatter3DPtr &snd, const string &name, const std::vector< double > &binedgesX, const std::vector< double > &binedgesY)
 
template<size_t N>
ScatterNDPtr< N > & book (ScatterNDPtr< N > &snd, const string &name, const YODA::ScatterND< N > &refscatter)
 Book a 2-dimensional data point set with x-points from an existing scatter and a new path.
 
Cutflows booking
CutflowsPtrbook (CutflowsPtr &ao, const std::vector< std::string > &edges, const std::vector< std::vector< std::string > > &innerEdges)
 
CutflowsPtrbook (CutflowsPtr &ao, const std::vector< std::string > &edges)
 
CutflowsPtrbook (CutflowsPtr &ao, std::initializer_list< std::string > &&edges)
 
Virtual helper function to allow classes deriving

from Analysis (e.g. CumulantAnalysis) to load external raw AOs into their local AOs (needed in heavy-ion land).

virtual void rawHookIn (YODA::AnalysisObjectPtr yao)
 
Virtual helper function to allow classes deriving from

Analysis (e.g. CumulantAnalysis) to fiddle with raw AOs post-finalize/before writing them out (needed in heavy-ion land).

virtual void rawHookOut (const vector< MultiplexAOPtr > &raos, size_t iW)
 
Analysis object manipulation
template<typename T >
void scale (MultiplexPtr< Multiplexer< T > > &ao, CounterAdapter factor)
 Multiplicatively scale the given AnalysisObject, ao, by factor factor.
 
template<typename GroupAxisT , typename... AxisT>
void scale (HistoGroupPtr< GroupAxisT, AxisT... > &group, CounterAdapter factor)
 Multiplicatively scale the given histogram group, group, by factor factor.
 
void scale (CutflowsPtr &group, CounterAdapter factor)
 Multiplicatively scale the cutflow group, group, by factor factor.
 
template<typename T , typename U >
void scale (std::map< T, U > &aos, CounterAdapter factor)
 Iteratively scale the AOs in the map aos, by factor factor.
 
template<typename AORange , typename = std::enable_if_t<YODA::isIterable<AORange>>>
void scale (AORange &aos, CounterAdapter factor)
 Iteratively scale the AOs in the iterable aos, by factor factor.
 
template<typename T >
void scale (std::initializer_list< T > aos, CounterAdapter factor)
 Iteratively scale the AOs in the initialiser list aos, by factor factor.
 
template<typename GroupAxisT , typename... AxisT>
void divByGroupWidth (HistoGroupPtr< GroupAxisT, AxisT... > &group)
 Scale the given histogram group, group, by the group axis width.
 
template<typename T , typename U >
void divByGroupWidth (std::map< T, U > &aos)
 Iteratively scale the HistoGroups in the map aos, by the group axis width.
 
template<typename AORange , typename = std::enable_if_t<YODA::isIterable<AORange>>>
void divByGroupWidth (AORange &aos)
 Iteratively scale the HistoGroups in the iterable aos, by the group axis width.
 
template<typename T >
void divByGroupWidth (std::initializer_list< T > aos)
 Iteratively scale the HistoGroups in the initialiser list aos, by the group axis width.
 
template<size_t DbnN, typename... AxisT>
void normalize (BinnedDbnPtr< DbnN, AxisT... > ao, const CounterAdapter norm=1.0, const bool includeoverflows=true)
 Normalize the given analysis object, ao to a target norm.
 
template<typename GroupAxisT , typename... AxisT>
void normalize (HistoGroupPtr< GroupAxisT, AxisT... > group, const CounterAdapter norm=1.0, const bool includeoverflows=true)
 Normalize each AO in the given histogram group, group to a target norm.
 
template<typename AORange , typename = std::enable_if_t<YODA::isIterable<AORange>>>
void normalize (AORange &aos, const CounterAdapter norm=1.0, const bool includeoverflows=true)
 Iteratively normalise the AOs in the iterable iter, by factor factor.
 
template<typename T >
void normalize (std::initializer_list< T > &&aos, const CounterAdapter norm=1.0, const bool includeoverflows=true)
 Iteratively normalise the AOs in the initialiser list iter to a target norm.
 
template<typename T , typename U >
void normalize (std::map< T, U > &aos, const CounterAdapter norm=1.0, const bool includeoverflows=true)
 Iteratively normalise the AOs in the map aos to a target norm.
 
template<typename GroupAxisT , typename... AxisT>
void normalizeGroup (HistoGroupPtr< GroupAxisT, AxisT... > group, const CounterAdapter norm=1.0, const bool includeoverflows=true)
 Normalize the given histogram group, group to a target norm.
 
template<typename AORange , typename = std::enable_if_t<YODA::isIterable<AORange>>>
void normalizeGroup (AORange &aos, const CounterAdapter norm=1.0, const bool includeoverflows=true)
 Iteratively normalise the HistoGroups in the iterable iter, by factor factor.
 
template<typename T >
void normalizeGroup (std::initializer_list< T > &&aos, const CounterAdapter norm=1.0, const bool includeoverflows=true)
 Iteratively normalise the HistoGroups in the initialiser list iter to a target norm.
 
template<typename T , typename U >
void normalizeGroup (std::map< T, U > &aos, const CounterAdapter norm=1.0, const bool includeoverflows=true)
 Iteratively normalise the HistoGroups in the map aos to a target norm.
 
template<size_t DbnN, typename... AxisT>
void barchart (BinnedDbnPtr< DbnN, AxisT... > ao, BinnedEstimatePtr< AxisT... > est) const
 
void divide (CounterPtr c1, CounterPtr c2, Estimate0DPtr est) const
 
void divide (const YODA::Counter &c1, const YODA::Counter &c2, Estimate0DPtr est) const
 
void divide (Estimate0DPtr e1, Estimate0DPtr e2, Estimate0DPtr est) const
 
void divide (const YODA::Estimate0D &e1, const YODA::Estimate0D &e2, Estimate0DPtr est) const
 
template<size_t DbnN, typename... AxisT>
void divide (const YODA::BinnedDbn< DbnN, AxisT... > &h1, const YODA::BinnedDbn< DbnN, AxisT... > &h2, BinnedEstimatePtr< AxisT... > est) const
 
template<size_t DbnN, typename... AxisT>
void divide (BinnedDbnPtr< DbnN, AxisT... > h1, BinnedDbnPtr< DbnN, AxisT... > h2, BinnedEstimatePtr< AxisT... > est) const
 
template<typename... AxisT>
void divide (const YODA::BinnedEstimate< AxisT... > &e1, const YODA::BinnedEstimate< AxisT... > &e2, BinnedEstimatePtr< AxisT... > est) const
 
template<typename... AxisT>
void divide (BinnedEstimatePtr< AxisT... > e1, BinnedEstimatePtr< AxisT... > e2, BinnedEstimatePtr< AxisT... > est) const
 
void efficiency (CounterPtr c1, CounterPtr c2, Estimate0DPtr est) const
 
void efficiency (const YODA::Counter &c1, const YODA::Counter &c2, Estimate0DPtr est) const
 
template<size_t DbnN, typename... AxisT>
void efficiency (const YODA::BinnedDbn< DbnN, AxisT... > &h1, const YODA::BinnedDbn< DbnN, AxisT... > &h2, BinnedEstimatePtr< AxisT... > est) const
 
template<size_t DbnN, typename... AxisT>
void efficiency (BinnedDbnPtr< DbnN, AxisT... > h1, BinnedDbnPtr< DbnN, AxisT... > h2, BinnedEstimatePtr< AxisT... > est) const
 
template<typename... AxisT>
void efficiency (const YODA::BinnedEstimate< AxisT... > &e1, const YODA::BinnedEstimate< AxisT... > &e2, BinnedEstimatePtr< AxisT... > est) const
 
template<typename... AxisT>
void efficiency (BinnedEstimatePtr< AxisT... > e1, BinnedEstimatePtr< AxisT... > e2, BinnedEstimatePtr< AxisT... > est) const
 
template<size_t DbnN, typename... AxisT>
void asymm (const YODA::BinnedDbn< DbnN, AxisT... > &h1, const YODA::BinnedDbn< DbnN, AxisT... > &h2, BinnedEstimatePtr< AxisT... > est) const
 
template<size_t DbnN, typename... AxisT>
void asymm (BinnedDbnPtr< DbnN, AxisT... > h1, BinnedDbnPtr< DbnN, AxisT... > h2, BinnedEstimatePtr< AxisT... > est) const
 
template<typename... AxisT>
void asymm (const YODA::BinnedEstimate< AxisT... > &e1, const YODA::BinnedEstimate< AxisT... > &e2, BinnedEstimatePtr< AxisT... > est) const
 
template<typename... AxisT>
void asymm (BinnedEstimatePtr< AxisT... > e1, BinnedEstimatePtr< AxisT... > e2, BinnedEstimatePtr< AxisT... > est) const
 
template<size_t DbnN, typename... AxisT>
void integrate (const YODA::BinnedDbn< DbnN, AxisT... > &h, BinnedEstimatePtr< AxisT... > est) const
 
template<size_t DbnN, typename... AxisT>
void integrate (BinnedDbnPtr< DbnN, AxisT... > &h, BinnedEstimatePtr< AxisT... > est) const
 
Data object registration, retrieval, and removal
size_t defaultWeightIndex () const
 Get the default/nominal weight index.
 
template<typename YODAT >
shared_ptr< YODAT > getPreload (const string &path) const
 Get a preloaded YODA object.
 
template<typename YODAT >
MultiplexPtr< Multiplexer< YODAT > > registerAO (const YODAT &yao)
 Register a new data object, optionally read in preloaded data.
 
template<typename AO = MultiplexAOPtr>
AO addAnalysisObject (const AO &aonew)
 Register a data object in the histogram system.
 
void removeAnalysisObject (const std::string &path)
 Unregister a data object from the histogram system (by name)
 
void removeAnalysisObject (const MultiplexAOPtr &ao)
 Unregister a data object from the histogram system (by pointer)
 
template<typename AO = MultiplexAOPtr>
const AO getAnalysisObject (const std::string &aoname) const
 Get a Rivet data object from the histogram system.
 
template<typename AO = MultiplexAOPtr>
AO getAnalysisObject (const std::string &ananame, const std::string &aoname)
 
Projection registration functions
template<typename PROJ >
const PROJ & declare (const PROJ &proj, const std::string &name) const
 Register a contained projection (user-facing version)
 
template<typename PROJ >
const PROJ & declare (const std::string &name, const PROJ &proj) const
 Register a contained projection (user-facing, arg-reordered version)
 

Friends

class AnalysisHandler
 The AnalysisHandler is a friend.
 

Detailed Description

This is the base class of all analysis classes in Rivet.

There are three virtual functions which should be implemented in base classes:

void init() is called by Rivet before a run is started. Here the analysis class should book necessary histograms. The needed projections should probably rather be constructed in the constructor.

void analyze(const Event&) is called once for each event. Here the analysis class should apply the necessary Projections and fill the histograms.

void finalize() is called after a run is finished. Here the analysis class should do whatever manipulations are necessary on the histograms. Writing the histograms to a file is, however, done by the AnalysisHandler class.

Member Function Documentation

◆ analysisDataPath()

std::string Rivet::Analysis::analysisDataPath ( const std::string &  extn,
const std::string &  suffix = "" 
)
inline

Get the path to a data file associated with this analysis.

The searched-for filename will be <ANANAME>.<extn> of suffix is empty/unspecified, or <ANANAME>-<suffix>.<extn> if a non-zero suffix is specified.

References Rivet::findAnalysisDataFile(), and name().

◆ analyze()

virtual void Rivet::Analysis::analyze ( const Event event)
pure virtual

Analyze one event. A concrete class should here apply the necessary projections on the event and fill the relevant histograms. An overridden function must make sure it first calls the base class function.

Implemented in Rivet::MC_JETS_BASE, Rivet::MC_KTSPLITTINGS_BASE, and Rivet::MC_PARTICLES_BASE.

◆ apply()

template<typename PROJ = Projection>
std::enable_if_t< std::is_base_of< Projection, PROJ >::value, const PROJ & > Rivet::ProjectionApplier::apply ( const Event evt,
const Projection proj 
) const
inlineinherited

Apply the supplied projection on event evt.

Apply the supplied projection on event evt (user-facing alias).

Referenced by Rivet::ALICE::V0Trigger< MODE >::project().

◆ asymm() [1/2]

template<size_t DbnN, typename... AxisT>
void Rivet::Analysis::asymm ( const YODA::BinnedDbn< DbnN, AxisT... > &  h1,
const YODA::BinnedDbn< DbnN, AxisT... > &  h2,
BinnedEstimatePtr< AxisT... >  est 
) const
inlineprotected

Helper for histogram asymmetry calculation.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ asymm() [2/2]

template<typename... AxisT>
void Rivet::Analysis::asymm ( const YODA::BinnedEstimate< AxisT... > &  e1,
const YODA::BinnedEstimate< AxisT... > &  e2,
BinnedEstimatePtr< AxisT... >  est 
) const
inlineprotected

Helper for estimate asymmetry calculation.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ authors()

virtual std::vector< std::string > Rivet::Analysis::authors ( ) const
inlinevirtual

Names & emails of paper/analysis authors.

Names and email of authors in 'NAME <EMAIL>' format. The first name in the list should be the primary contact person.

References Rivet::AnalysisInfo::authors(), and info().

◆ auxData() [1/2]

template<typename T >
T Rivet::Analysis::auxData ( const string &  dsname)
inlineprotected
Todo:
Cache loading the H5 files? On MPI?

References name().

◆ auxData() [2/2]

template<typename T >
bool Rivet::Analysis::auxData ( const string &  dsname,
T &  rtndata 
)
inlineprotected

Read HDF5 file filename.

Todo:
Cache loading the H5 files? On MPI?

References name().

◆ barchart()

template<size_t DbnN, typename... AxisT>
void Rivet::Analysis::barchart ( BinnedDbnPtr< DbnN, AxisT... >  ao,
BinnedEstimatePtr< AxisT... >  est 
) const
inlineprotected

Helper for histogram conversion to an inert estimate type

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ book() [1/8]

template<size_t DbnN, typename... AxisT>
BinnedDbnPtr< DbnN, AxisT... > & Rivet::Analysis::book ( BinnedDbnPtr< DbnN, AxisT... > &  ao,
const unsigned int  datasetID,
const unsigned int  xAxisID,
const unsigned int  yAxisID 
)
inlineprotected

Book a ND histogram, using the binnings in the reference data histogram.

The paper, dataset and x/y-axis IDs will be used to build the histo name in the HepData standard way.

References book(), mkAxisCode(), and name().

◆ book() [2/8]

template<typename... AxisT>
BinnedEstimatePtr< AxisT... > & Rivet::Analysis::book ( BinnedEstimatePtr< AxisT... > &  ao,
const unsigned int  datasetID,
const unsigned int  xAxisID,
const unsigned int  yAxisID 
)
inlineprotected

Book a ND estimate, using the binnings in the reference data histogram.

The paper, dataset and x/y-axis IDs will be used to build the histo name in the HepData standard way.

References book(), mkAxisCode(), and name().

◆ book() [3/8]

template<typename T >
Percentile< T > Rivet::Analysis::book ( const string &  projName,
const vector< pair< double, double > > &  centralityBins,
const vector< tuple< size_t, size_t, size_t > > &  ref 
)
inline

Book a Percentile Multiplexer around AnalysisObjects.

Based on a previously registered CentralityProjection named projName book one AnalysisObject for each centralityBin and name them according to the corresponding code in the ref vector.

References Rivet::PercentileTBase< T >::add(), addAnalysisObject(), histoPath(), and mkAxisCode().

◆ book() [4/8]

Estimate0DPtr & Rivet::Analysis::book ( Estimate0DPtr ,
unsigned int  datasetID,
unsigned int  xAxisID,
unsigned int  yAxisID 
)
protected

Book an estimate, using a path generated from the dataset and axis ID codes

The paper, dataset and x/y-axis IDs will be used to build the histo name in the HepData standard way.

◆ book() [5/8]

Scatter2DPtr & Rivet::Analysis::book ( Scatter2DPtr snd,
const string &  name,
const size_t  npts,
const double  lower,
const double  upper 
)
inlineprotected

Book a N-dimensional data point set with equally spaced x-points in a range.

The y values and errors will be set to 0.

Todo:
Remove this when we switch to BinnedEstimates

References histoPath(), name(), and registerAO().

◆ book() [6/8]

Scatter2DPtr & Rivet::Analysis::book ( Scatter2DPtr snd,
const string &  name,
const std::vector< double > &  binedges 
)
inlineprotected

Book a 2-dimensional data point set based on provided contiguous "bin edges".

The y values and errors will be set to 0.

Todo:
Remove this when we switch to BinnedEstimates

References histoPath(), name(), and registerAO().

◆ book() [7/8]

template<size_t N>
ScatterNDPtr< N > & Rivet::Analysis::book ( ScatterNDPtr< N > &  snd,
const string &  name,
const bool  copy_pts = false 
)
inlineprotected

Book a N-dimensional data point set with the given name.

Note
Unlike histogram booking, scatter booking by default makes no attempt to use reference data to pre-fill the data object. If you want this, which is sometimes useful e.g. when the x-position is not really meaningful and can't be extracted from the data, then set the copy_pts parameter to true. This creates points to match the reference data's x values and errors, but with the y values and errors zeroed... assuming that there is a reference histo with the same name: if there isn't, an exception will be thrown.

References histoPath(), name(), refData(), and registerAO().

◆ book() [8/8]

template<size_t N>
ScatterNDPtr< N > & Rivet::Analysis::book ( ScatterNDPtr< N > &  snd,
const unsigned int  datasetID,
const unsigned int  xAxisID,
const unsigned int  yAxisID,
const bool  copy_pts = false 
)
inlineprotected

Book a N-dimensional data point set, using the binnings in the reference data histogram.

The paper, dataset and x/y-axis IDs will be used to build the histo name in the HepData standard way.

Note
Unlike histogram booking, scatter booking by default makes no attempt to use reference data to pre-fill the data object. If you want this, which is sometimes useful e.g. when the x-position is not really meaningful and can't be extracted from the data, then set the copy_pts parameter to true. This creates points to match the reference data's x values and errors, but with the y values and errors zeroed.

References book(), and mkAxisCode().

◆ crossSectionErrorPerEvent()

double Rivet::Analysis::crossSectionErrorPerEvent ( ) const
protected

Get the process cross-section error per generated event in pb. Throws if this hasn't been set.

◆ crossSectionPerEvent()

double Rivet::Analysis::crossSectionPerEvent ( ) const
protected

Get the process cross-section per generated event in pb. Throws if this hasn't been set.

◆ declare() [1/2]

template<typename PROJ >
const PROJ & Rivet::ProjectionApplier::declare ( const PROJ &  proj,
const std::string &  name 
) const
inlineprotectedinherited

Register a contained projection (user-facing version)

Todo:
Add SFINAE to require that PROJ inherit from Projection

Referenced by Rivet::CentralEtHCM::CentralEtHCM(), Rivet::CentralityEstimator::CentralityEstimator(), Rivet::ChargedLeptons::ChargedLeptons(), Rivet::ALICE::CLMultiplicity< INNER >::CLMultiplicity(), Rivet::DISDiffHadron::DISDiffHadron(), Rivet::DISFinalState::DISFinalState(), Rivet::DISKinematics::DISKinematics(), Rivet::DISLepton::DISLepton(), Rivet::EventMixingBase::EventMixingBase(), Rivet::GammaGammaKinematics::GammaGammaKinematics(), Rivet::GammaGammaLeptons::GammaGammaLeptons(), Rivet::GammaGammaLeptons::GammaGammaLeptons(), Rivet::GeneratedCentrality::GeneratedCentrality(), Rivet::HadronicFinalState::HadronicFinalState(), Rivet::HeavyHadrons::HeavyHadrons(), Rivet::Hemispheres::Hemispheres(), Rivet::InvisibleFinalState::InvisibleFinalState(), Rivet::LeadingParticlesFinalState::LeadingParticlesFinalState(), Rivet::LossyFinalState< FILTER >::LossyFinalState(), Rivet::LossyFinalState< FILTER >::LossyFinalState(), Rivet::MC_pPbMinBiasTrigger::MC_pPbMinBiasTrigger(), Rivet::MC_SumETFwdPbCentrality::MC_SumETFwdPbCentrality(), Rivet::ATLAS::MinBiasTrigger::MinBiasTrigger(), Rivet::MissingMomentum::MissingMomentum(), Rivet::NeutralFinalState::NeutralFinalState(), Rivet::NeutralFinalState::NeutralFinalState(), Rivet::NonHadronicFinalState::NonHadronicFinalState(), Rivet::ParisiTensor::ParisiTensor(), Rivet::PercentileProjection::PercentileProjection(), Rivet::PrimaryHadrons::PrimaryHadrons(), Rivet::PrimaryHadrons::PrimaryHadrons(), Rivet::SmearedMET::SmearedMET(), Rivet::SmearedMET::SmearedMET(), Rivet::Spherocity::Spherocity(), Rivet::ATLAS::SumET_PB_Centrality::SumET_PB_Centrality(), Rivet::ATLAS::SumET_PBPB_Centrality::SumET_PBPB_Centrality(), Rivet::TauFinder::TauFinder(), Rivet::TriggerCDFRun0Run1::TriggerCDFRun0Run1(), Rivet::TriggerCDFRun2::TriggerCDFRun2(), Rivet::UndressBeamLeptons::UndressBeamLeptons(), Rivet::ALICE::V0AndTrigger::V0AndTrigger(), Rivet::ALICE::V0Trigger< MODE >::V0Trigger(), Rivet::VetoedFinalState::VetoedFinalState(), Rivet::VisibleFinalState::VisibleFinalState(), Rivet::VisibleFinalState::VisibleFinalState(), Rivet::CentralityProjection::add(), Rivet::CentralityBinner< T, MDist >::setProjection(), and Rivet::VetoedFinalState::vetoFinalState().

◆ declare() [2/2]

template<typename PROJ >
const PROJ & Rivet::ProjectionApplier::declare ( const std::string &  name,
const PROJ &  proj 
) const
inlineprotectedinherited

Register a contained projection (user-facing, arg-reordered version)

Todo:
Add SFINAE to require that PROJ inherit from Projection

◆ declareCentrality()

const CentralityProjection & Rivet::Analysis::declareCentrality ( const SingleValueProjection proj,
string  calAnaName,
string  calHistName,
const string  projName,
PercentileOrder  pctorder = PercentileOrder::DECREASING 
)

Book a CentralityProjection.

Using a SingleValueProjection, proj, giving the value of an experimental observable to be used as a centrality estimator, book a CentralityProjection based on the experimentally measured pecentiles of this observable (as given by the reference data for the calHistName histogram in the calAnaName analysis. If a preloaded file with the output of a run using the calAnaName analysis contains a valid generated calHistName histogram, it will be used as an optional percentile binning. Also if this preloaded file contains a histogram with the name calHistName with an appended "_IMP" This histogram will be used to add an optional centrality percentile based on the generated impact parameter. If increasing is true, a low (high) value of proj is assumed to correspond to a more peripheral (central) event.

◆ description()

virtual std::string Rivet::Analysis::description ( ) const
inlinevirtual

Get a full description of the analysis.

Full textual description of this analysis, what it is useful for, what experimental techniques are applied, etc. Should be treated as a chunk of restructuredText (http://docutils.sourceforge.net/rst.html), with equations to be rendered as LaTeX with amsmath operators.

References Rivet::AnalysisInfo::description(), and info().

◆ divide() [1/6]

template<size_t DbnN, typename... AxisT>
void Rivet::Analysis::divide ( const YODA::BinnedDbn< DbnN, AxisT... > &  h1,
const YODA::BinnedDbn< DbnN, AxisT... > &  h2,
BinnedEstimatePtr< AxisT... >  est 
) const
inlineprotected

Helper for histogram division.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ divide() [2/6]

template<typename... AxisT>
void Rivet::Analysis::divide ( const YODA::BinnedEstimate< AxisT... > &  e1,
const YODA::BinnedEstimate< AxisT... > &  e2,
BinnedEstimatePtr< AxisT... >  est 
) const
inlineprotected

Helper for binned estimate division.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ divide() [3/6]

void Rivet::Analysis::divide ( const YODA::Counter &  c1,
const YODA::Counter &  c2,
Estimate0DPtr  est 
) const
protected

Helper for histogram division with raw YODA objects.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ divide() [4/6]

void Rivet::Analysis::divide ( const YODA::Estimate0D &  e1,
const YODA::Estimate0D &  e2,
Estimate0DPtr  est 
) const
protected

Helper for estimate division with raw YODA objects.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ divide() [5/6]

void Rivet::Analysis::divide ( CounterPtr  c1,
CounterPtr  c2,
Estimate0DPtr  est 
) const
protected

Helper for counter division.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ divide() [6/6]

void Rivet::Analysis::divide ( Estimate0DPtr  e1,
Estimate0DPtr  e2,
Estimate0DPtr  est 
) const
protected

Helper for counter division.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ efficiency() [1/4]

template<size_t DbnN, typename... AxisT>
void Rivet::Analysis::efficiency ( const YODA::BinnedDbn< DbnN, AxisT... > &  h1,
const YODA::BinnedDbn< DbnN, AxisT... > &  h2,
BinnedEstimatePtr< AxisT... >  est 
) const
inlineprotected

Helper for histogram efficiency calculation.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ efficiency() [2/4]

template<typename... AxisT>
void Rivet::Analysis::efficiency ( const YODA::BinnedEstimate< AxisT... > &  e1,
const YODA::BinnedEstimate< AxisT... > &  e2,
BinnedEstimatePtr< AxisT... >  est 
) const
inlineprotected

Helper for estimate efficiency calculation.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ efficiency() [3/4]

void Rivet::Analysis::efficiency ( const YODA::Counter &  c1,
const YODA::Counter &  c2,
Estimate0DPtr  est 
) const
inlineprotected

Helper for counter efficiency calculation.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ efficiency() [4/4]

void Rivet::Analysis::efficiency ( CounterPtr  c1,
CounterPtr  c2,
Estimate0DPtr  est 
) const
inlineprotected

Helper for counter efficiency calculation.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

References efficiency().

Referenced by efficiency().

◆ finalize()

virtual void Rivet::Analysis::finalize ( )
inlinevirtual

Finalize this analysis object. A concrete class should here make all necessary operations on the histograms. Writing the histograms to a file is, however, done by the Rivet class. An overridden function must make sure it first calls the base class function.

Reimplemented in Rivet::MC_JETS_BASE, Rivet::MC_KTSPLITTINGS_BASE, and Rivet::MC_PARTICLES_BASE.

◆ get()

template<typename PROJ >
const PROJ & Rivet::ProjectionApplier::get ( const std::string &  name) const
inlineinherited

Get the named projection, specifying return type via a template argument (user-facing alias).

Todo:
Add SFINAE to require that PROJ inherit from Projection

◆ getAnalysisObject()

template<typename AO = MultiplexAOPtr>
AO Rivet::Analysis::getAnalysisObject ( const std::string &  ananame,
const std::string &  aoname 
)
inlineprotected

Get a data object from another analysis (e.g. preloaded calibration histogram).

References Rivet::MultiplexPtr< T >::get().

◆ getOption() [1/3]

bool Rivet::Analysis::getOption ( std::string  optname,
bool  def 
) const
inline

Get an option for this analysis instance converted to a bool.

Specialisation for bool, to allow use of "yes/no", "true/false" and "on/off" strings, with fallback casting to bool based on int value. An empty value will be treated as false.

Warning
To avoid accidents, strings not matching one of the above patterns will throw a Rivet::ReadError exception.
Todo:
Make this a template-specialisation... needs to be outside the class body?

References getOption(), and Rivet::toLower().

◆ getOption() [2/3]

std::string Rivet::Analysis::getOption ( std::string  optname,
const char *  def 
)
inline

Sane overload for literal character strings (which don't play well with stringstream)

Note this isn't a template specialisation, because we can't return a non-static char*, and T-as-return-type is built into the template function definition.

◆ getOption() [3/3]

template<typename T >
T Rivet::Analysis::getOption ( std::string  optname,
def 
) const
inline

Get an option for this analysis instance converted to a specific type.

The return type is given by the specified def value, or by an explicit template type-argument, e.g. getOption<double>("FOO", 3).

Warning
To avoid accidents, strings not convertible to the requested type will throw a Rivet::ReadError exception.

◆ getProjection() [1/2]

template<typename PROJ >
const PROJ & Rivet::ProjectionApplier::getProjection ( const std::string &  name) const
inlineinherited

Get the named projection, specifying return type via a template argument.

Todo:
Add SFINAE to require that PROJ inherit from Projection

References Rivet::ProjectionHandler::getProjection(), and Rivet::ProjectionApplier::getProjHandler().

Referenced by Rivet::CentralityProjection::compare(), Rivet::pcmp(), Rivet::pcmp(), Rivet::pcmp(), and Rivet::pcmp().

◆ getProjection() [2/2]

const Projection & Rivet::ProjectionApplier::getProjection ( const std::string &  name) const
inlineinherited

Get the named projection (non-templated, so returns as a reference to a Projection base class).

References Rivet::ProjectionHandler::getProjection(), and Rivet::ProjectionApplier::getProjHandler().

◆ getProjectionFromDeclQueue()

template<typename PROJ >
const PROJ & Rivet::ProjectionApplier::getProjectionFromDeclQueue ( const std::string  name) const
inlineinherited

Get a named projection from this projection appliers declqueue TODO for TP: Recursion?

References MSG_ERROR.

◆ info()

AnalysisInfo & Rivet::Analysis::info ( )
inline

Get the actual AnalysisInfo object in which all this metadata is stored (non-const).

Note
For internal use!

◆ init()

virtual void Rivet::Analysis::init ( )
inlinevirtual

Initialize this analysis object. A concrete class should here book all necessary histograms. An overridden function must make sure it first calls the base class function.

Reimplemented in Rivet::MC_JETS_BASE, Rivet::MC_KTSPLITTINGS_BASE, and Rivet::MC_PARTICLES_BASE.

◆ integrate()

template<size_t DbnN, typename... AxisT>
void Rivet::Analysis::integrate ( const YODA::BinnedDbn< DbnN, AxisT... > &  h,
BinnedEstimatePtr< AxisT... >  est 
) const
inlineprotected

Helper for converting a differential histo to an integral one.

Note
Assigns to the (already registered) output estimate, est. Preserves the path information of the target.

◆ name()

◆ numEvents()

size_t Rivet::Analysis::numEvents ( ) const
protected

Get the number of events seen (via the analysis handler).

Note
Use in the finalize phase only.

◆ rawHookOut()

virtual void Rivet::Analysis::rawHookOut ( const vector< MultiplexAOPtr > &  raos,
size_t  iW 
)
inlineprotectedvirtual

Reimplemented in Rivet::CumulantAnalysis.

◆ refData() [1/2]

template<typename T = YODA::Estimate1D>
const T & Rivet::Analysis::refData ( const string &  hname) const
inlineprotected

Get reference data for a named histo

Todo:
SFINAE to ensure that the type inherits from YODA::AnalysisObject?

References MSG_ERROR, MSG_TRACE, and name().

◆ refData() [2/2]

template<typename T = YODA::Estimate1D>
const T & Rivet::Analysis::refData ( unsigned int  datasetId,
unsigned int  xAxisId,
unsigned int  yAxisId 
) const
inlineprotected

Get reference data for a numbered histo

Todo:
SFINAE to ensure that the type inherits from YODA::AnalysisObject?

References mkAxisCode().

◆ registerAO()

template<typename YODAT >
MultiplexPtr< Multiplexer< YODAT > > Rivet::Analysis::registerAO ( const YODAT &  yao)
inlineprotected

Register a new data object, optionally read in preloaded data.

Todo:
What about if/when we want to make the final objects the Scatter or binned persistent type?

References analysisObjects(), Rivet::bookingCompatible(), Rivet::MultiplexPtr< T >::get(), MSG_ERROR, MSG_TRACE, MSG_WARNING, and name().

Referenced by book(), book(), book(), book(), book(), book(), book(), book(), book(), book(), and book().

◆ runInfo()

virtual std::string Rivet::Analysis::runInfo ( ) const
inlinevirtual

Information about the events needed as input for this analysis.

Event types, energies, kinematic cuts, particles to be considered stable, etc. etc. Should be treated as a restructuredText bullet list (http://docutils.sourceforge.net/rst.html)

References info(), and Rivet::AnalysisInfo::runInfo().

◆ setProjectionHandler()

void Rivet::ProjectionApplier::setProjectionHandler ( ProjectionHandler projectionHandler) const
protectedinherited
Todo:
AB: Add Doxygen comment, follow surrounding coding style

◆ summary()

virtual std::string Rivet::Analysis::summary ( ) const
inlinevirtual

Get a short description of the analysis.

Short (one sentence) description used as an index entry. Use description() to provide full descriptive paragraphs of analysis details.

References info(), and Rivet::AnalysisInfo::summary().

◆ sumW()

double Rivet::Analysis::sumW ( ) const
protected

Get the sum of event weights seen (via the analysis handler).

Note
Use in the finalize phase only.

Referenced by Rivet::CumulantAnalysis::rawHookOut(), and sumOfWeights().

◆ sumW2()

double Rivet::Analysis::sumW2 ( ) const
protected

Get the sum of squared event weights seen (via the analysis handler).

Note
Use in the finalize phase only.

Referenced by Rivet::CumulantAnalysis::rawHookOut().

◆ syncDeclQueue()

void Rivet::Analysis::syncDeclQueue ( )
inline

Call the projection applier _syncDeclQueue() method. (It should be hidden for all projection appliers other than analyses) TODO for TP: Is this the right block for this method to be in?

References Rivet::ProjectionApplier::markAsOwned().


The documentation for this class was generated from the following file:
  • /Users/chrisg/software/rivet/include/Rivet/Analysis.hh