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

#include <Analysis.hh>

Inheritance diagram for Rivet::Analysis:

Public Member Functions
	Analysis (const std::string &name)
	Constructor.

virtual	~Analysis ()
	The destructor.

Analysis &	operator= (const Analysis &)=delete
	The assignment operator is private and must be deleted, so it can never be called.

AnalysisHandler &	handler () const
	Access the controlling AnalysisHandler object.

const Event &	currentEvent () const
	Access the current event.

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 ()

Power-user analysis methods
virtual void	preInit ()
	A method called before init(), for cleaner subclassing.

virtual void	postInit ()
	A method called after init(), for cleaner subclassing.

virtual void	preAnalyze (const Event &)
	A method called before analyze(), for cleaner subclassing.

virtual void	postAnalyze (const Event &)
	A method called after analyze(), for cleaner subclassing.

virtual void	preFinalize ()
	A method called before finalize(), for cleaner subclassing.

virtual void	postFinalize ()
	A method called after finalize(), for cleaner subclassing.

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 AnalysisInfo &	info () 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 Analysis &	setRequiredBeamIDs (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 Analysis &	setRequiredBeamEnergies (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.

AnalysisInfo &	info ()
	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 ParticlePair &	beams () 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.

vector< double >	allowedEnergies () const
	Allowed centre-of-mass energies (in GeV) for this routine.

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 >
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 CentralityProjection &	declareCentrality (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 Projection &	getProjection (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
Log &	getLog () 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)

CounterPtr &	book (CounterPtr &, const std::string &name)
	Book a counter.

CounterPtr &	book (CounterPtr &, unsigned int datasetID, unsigned int xAxisID, unsigned int yAxisID)

CutflowPtr &	book (CutflowPtr &ao, const string &name, const std::vector< std::string > &edges)
	Book a Cutflow object defined by the vector of edges.

CutflowPtr &	book (CutflowPtr &ao, const string &name, const std::initializer_list< std::string > &edges)
	Book a Cutflow object defined by the vector of edges.

ProjectionHandler &	getProjHandler () const
	Get a reference to the ProjectionHandler for this thread.

void	setProjectionHandler (ProjectionHandler &projectionHandler) const

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
Estimate0DPtr &	book (Estimate0DPtr &, const std::string &name)
	Book an estimate.

Estimate0DPtr &	book (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 .

Histo1DPtr &	book (Histo1DPtr &ao, const std::string &name, const size_t nbins, const double lower, const double upper)

Profile1DPtr &	book (Profile1DPtr &ao, const std::string &name, const size_t nbins, const double lower, const double upper)

Histo2DPtr &	book (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)

Profile2DPtr &	book (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)

Histo3DPtr &	book (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)

Profile3DPtr &	book (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 .

Estimate1DPtr &	book (Estimate1DPtr &ao, const std::string &name, const size_t nbins, const double lower, const double upper)

Estimate2DPtr &	book (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)

Estimate3DPtr &	book (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.

Scatter2DPtr &	book (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.

Scatter3DPtr &	book (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)

Scatter2DPtr &	book (Scatter2DPtr &snd, const string &name, const std::vector< double > &binedges)
	Book a 2-dimensional data point set based on provided contiguous "bin edges".

Scatter3DPtr &	book (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
CutflowsPtr &	book (CutflowsPtr &ao, const std::vector< std::string > &edges, const std::vector< std::vector< std::string > > &innerEdges)

CutflowsPtr &	book (CutflowsPtr &ao, const std::vector< std::string > &edges)

CutflowsPtr &	book (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.

template<typename GroupAxisT , typename... AxisT>
void	scale (HistoGroupPtr< GroupAxisT, AxisT... > &group, const vector< double > &factors)
	Multiplicatively scale the given histogram group, group, by factors factors.

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 T , typename U >
void	scale (std::map< T, U > &aos, const vector< double > &factors)
	Iteratively scale the AOs in the map aos, by factors factors.

template<typename AORange , typename = std::enable_if_t<YODA::isIterable<AORange>>>
void	scale (AORange &aos, const vector< double > &factors)
	Iteratively scale the AOs in the iterable aos, by factors factors.

template<typename T >
void	scale (std::initializer_list< T > aos, const vector< double > &factors)
	Iteratively scale the AOs in the initialiser list aos, by factors factors.

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)

Static Protected Member Functions
template<typename... Args, typename CONTAINER , typename = std::enable_if_t< is_citerable_v<CONTAINER>, Jet >>
static CONTAINER	reclusterJets (const CONTAINER &jetsIn, Args &&... args)
	Avoid `FastJet::` scoping prefix.

template<typename T , typename U , typename... Args>
static std::map< T, U >	reclusterJets (const std::map< T, U > &jetsMap, Args &&... args)

template<JetAlg JETALG, typename... Args, typename CONTAINER , typename = std::enable_if_t< is_citerable_v<CONTAINER>, Jet >>
static CONTAINER	reclusterJets (const CONTAINER &jetsIn, Args &&... args)

template<JetAlg JETALG, typename T , typename U , typename... Args>
static std::map< T, U >	reclusterJets (const std::map< T, U > &jetsMap, Args &&... args)

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().

◆ 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

◆ 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,
		T	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()

virtual std::string Rivet::Analysis::name ( ) const

inlinevirtual

Get the name of the analysis.

By default this is computed by combining the results of the experiment, year and Spires ID metadata methods and you should only override it if there's a good reason why those won't work. If options has been set for this instance, a corresponding string is appended at the end.

Implements Rivet::ProjectionApplier.

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

Referenced by addAnalysisObject(), analysisDataPath(), book(), book(), book(), book(), book(), book(), book(), book(), book(), book(), book(), book(), book(), book(), book(), book(), book(), Rivet::CumulantAnalysis::bookECorrelator(), Rivet::CumulantAnalysis::bookECorrelator(), Rivet::CumulantAnalysis::bookECorrelator(), Rivet::CumulantAnalysis::bookECorrelator(), Rivet::CumulantAnalysis::bookECorrelator(), Rivet::CumulantAnalysis::bookECorrelator(), Rivet::CumulantAnalysis::bookECorrelatorGap(), Rivet::CumulantAnalysis::bookECorrelatorGap(), divByGroupWidth(), Rivet::CumulantAnalysis::ECorrelator::fillFromProfile(), name(), normalize(), normalize(), normalizeGroup(), Rivet::CumulantAnalysis::rawHookOut(), refData(), registerAO(), scale(), scale(), scale(), scale(), and setRefDataName().

◆ 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.

◆ postInit()

virtual void Rivet::Analysis::postInit ( )

inlinevirtual

A method called after init(), for cleaner subclassing.

Reimplemented in Rivet::SimpleAnalysis.

◆ preAnalyze()

virtual void Rivet::Analysis::preAnalyze ( const Event & )

inlinevirtual

A method called before analyze(), for cleaner subclassing.

Reimplemented in Rivet::SimpleAnalysis.

◆ 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.

Note: It should be hidden for all projection appliers other than analyses.

References Rivet::ProjectionApplier::markAsOwned().

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

/Users/chrisg/software/rivet/include/Rivet/Analysis.hh

Public Member Functions

Protected Member Functions

Static Protected Member Functions

Friends

Detailed Description

Member Function Documentation

◆ analysisDataPath()

◆ analyze()

◆ apply()

◆ asymm() [1/2]

◆ asymm() [2/2]

◆ authors()

◆ barchart()

◆ book() [1/8]

◆ book() [2/8]

◆ book() [3/8]

◆ book() [4/8]

◆ book() [5/8]

◆ book() [6/8]

◆ book() [7/8]

◆ book() [8/8]

◆ crossSectionErrorPerEvent()

◆ crossSectionPerEvent()

◆ declare() [1/2]

◆ declare() [2/2]

◆ declareCentrality()

◆ description()

◆ divide() [1/6]

◆ divide() [2/6]

◆ divide() [3/6]

◆ divide() [4/6]

◆ divide() [5/6]

◆ divide() [6/6]

◆ efficiency() [1/4]

◆ efficiency() [2/4]

◆ efficiency() [3/4]

◆ efficiency() [4/4]

◆ finalize()

◆ get()

◆ getAnalysisObject()

◆ getOption() [1/3]

◆ getOption() [2/3]

◆ getOption() [3/3]

◆ getProjection() [1/2]

◆ getProjection() [2/2]

◆ getProjectionFromDeclQueue()

◆ info()

◆ init()

◆ integrate()

◆ name()

◆ numEvents()

◆ postInit()

◆ preAnalyze()

◆ rawHookOut()

◆ refData() [1/2]

◆ refData() [2/2]

◆ registerAO()

◆ runInfo()

◆ setProjectionHandler()

◆ summary()

◆ sumW()

◆ sumW2()

◆ syncDeclQueue()