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 // -*- C++ -*-
 #ifndef RIVET_Analysis_HH
 #define RIVET_Analysis_HH
 
 #include "Rivet/Config/RivetCommon.hh"
 #include "Rivet/AnalysisInfo.hh"
 #include "Rivet/Event.hh"
 #include "Rivet/Projection.hh"
 #include "Rivet/ProjectionApplier.hh"
 #include "Rivet/ProjectionHandler.hh"
 #include "Rivet/AnalysisLoader.hh"
 #include "Rivet/Tools/Cuts.hh"
 #include "Rivet/Tools/Logging.hh"
 #include "Rivet/Tools/ParticleUtils.hh"
 #ifdef HAVE_H5
 #include "Rivet/Tools/RivetHDF5.hh"
 #endif
 #include "Rivet/Tools/HistoGroup.hh"
 #include "Rivet/Tools/RivetMT2.hh"
 #include "Rivet/Tools/RivetPaths.hh"
 #include "Rivet/Tools/RivetYODA.hh"
 #include "Rivet/Tools/Percentile.hh"
 #include "Rivet/Tools/Cutflow.hh"
 #include "Rivet/Projections/CentralityProjection.hh"
 #include <tuple>
 
 
 /// @def vetoEvent
 /// Preprocessor define for vetoing events, including the log message and return.
 #define vetoEvent                                                       \
   do { MSG_DEBUG("Vetoing event on line " << __LINE__ << " of " << __FILE__); return; } while(0)
 
 
 namespace Rivet {
 
 
   // Convenience for analysis writers
   using std::cout;
   using std::cerr;
   using std::endl;
   using std::tuple;
   using std::stringstream;
   using std::swap;
   using std::numeric_limits;
 
 
   // Forward declaration
   class AnalysisHandler;
 
 
   /// @brief 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.
   class Analysis : public ProjectionApplier {
   public:
 
     /// The AnalysisHandler is a friend.
     friend class AnalysisHandler;
 
 
     /// Constructor
     Analysis(const std::string& name);
 
     /// The destructor
     virtual ~Analysis() {}
 
     /// The assignment operator is private and must be deleted, so it can never be called.
     Analysis& operator = (const Analysis&) = delete;
 
 
   public:
 
     /// @name Main analysis methods
     /// @{
 
     /// 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.
     virtual void init() { }
 
     /// Analyze one event. A concrete class should here apply the
     /// necessary projections on the \a event and fill the relevant
     /// histograms. An overridden function must make sure it first calls
     /// the base class function.
     virtual void analyze(const Event& event) = 0;
 
     /// 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.
     virtual void finalize() { }
 
     ///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?
     void syncDeclQueue() {
       this->_syncDeclQueue();
       this->markAsOwned();
     }
 
     /// @}
 
 
   public:
 
     /// @name Metadata
     ///
     /// Metadata is used for querying from the command line and also for
     /// building web pages and the analysis pages in the Rivet manual.
     /// @{
 
     /// Get the AnalysisInfo object to parse its info file in which the metadata is stored.
     void loadInfo() { info().parseInfoFile(); }
 
     /// Get the actual AnalysisInfo object in which all this metadata is stored.
     const AnalysisInfo& info() const {
       if (!_info) throw Error("No AnalysisInfo object :-O");
       return *_info;
     }
 
     /// @brief 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.
     virtual std::string name() const {
       return ( (info().name().empty()) ? _defaultname : info().name() ) + _optstring;
     }
 
     /// @brief 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.
     std::string analysisDataPath(const std::string& extn, const std::string& suffix="") {
       string filename = name() + (suffix.empty() ? "" : "-") + suffix + "." + extn;
       return findAnalysisDataFile(filename);
     }
 
     /// Get the Inspire ID code for this analysis.
     virtual std::string inspireID() const {
       return info().inspireID();
     }
 
     /// Get the SPIRES ID code for this analysis (~deprecated).
     virtual std::string spiresID() const {
       return info().spiresID();
     }
 
     /// @brief 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.
     virtual std::vector<std::string> authors() const {
       return info().authors();
     }
 
     /// @brief Get a short description of the analysis.
     ///
     /// Short (one sentence) description used as an index entry.
     /// Use @a description() to provide full descriptive paragraphs
     /// of analysis details.
     virtual std::string summary() const {
       return info().summary();
     }
 
     /// @brief 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.
     virtual std::string description() const {
       return info().description();
     }
 
     /// @brief 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)
     virtual std::string runInfo() const {
       return info().runInfo();
     }
 
     /// Experiment which performed and published this analysis.
     virtual std::string experiment() const {
       return info().experiment();
     }
 
     /// Collider on which the experiment ran.
     virtual std::string collider() const {
       return info().collider();
     }
 
     /// When the original experimental analysis was published.
     virtual std::string year() const {
       return info().year();
     }
 
     /// The integrated luminosity in inverse femtobarn
     virtual double luminosityfb() const {
       return info().luminosityfb();
     }
     /// The integrated luminosity in inverse picobarn
     virtual double luminosity() const {
       return info().luminosity();
     }
     /// The integrated luminosity in inverse picobarn
     double luminositypb() const { return luminosity(); }
 
     /// Journal, and preprint references.
     virtual std::vector<std::string> references() const {
       return info().references();
     }
 
     /// BibTeX citation key for this article.
     virtual std::string bibKey() const {
       return info().bibKey();
     }
 
     /// BibTeX citation entry for this article.
     virtual std::string bibTeX() const {
       return info().bibTeX();
     }
 
     /// Whether this analysis is trusted (in any way!)
     virtual std::string status() const {
       return (info().status().empty()) ? "UNVALIDATED" : info().status();
     }
 
     /// A warning message from the info file, if there is one
     virtual std::string warning() const {
       return info().warning();
     }
 
     /// Any work to be done on this analysis.
     virtual std::vector<std::string> todos() const {
       return info().todos();
     }
 
     /// make-style commands for validating this analysis.
     virtual std::vector<std::string> validation() const {
       return info().validation();
     }
 
     /// Does this analysis have a reentrant finalize()?
     virtual bool reentrant() const {
       return info().reentrant();
     }
 
     /// Get vector of analysis keywords
     virtual const std::vector<std::string>& keywords() const {
       return info().keywords();
     }
 
     /// Positive filtering regex for ref-data HepData sync
     virtual std::string refMatch() const {
       return info().refMatch();
     }
 
     /// Negative filtering regex for ref-data HepData sync
     virtual std::string refUnmatch() const {
       return info().refUnmatch();
     }
 
     /// Positive filtering regex for setting double precision in Writer
     virtual std::string writerDoublePrecision() const {
       return info().writerDoublePrecision();
     }
 
     /// Return the allowed pairs of incoming beams required by this analysis.
     virtual const std::vector<PdgIdPair>& requiredBeamIDs() const {
       return info().beamIDs();
     }
     /// Declare the allowed pairs of incoming beams required by this analysis.
     virtual Analysis& setRequiredBeamIDs(const std::vector<PdgIdPair>& beamids) {
       info().setBeamIDs(beamids);
       return *this;
     }
 
     /// Sets of valid beam energy pairs, in GeV
     virtual const std::vector<std::pair<double, double> >& requiredBeamEnergies() const {
       return info().energies();
     }
     /// Declare the list of valid beam energy pairs, in GeV
     virtual Analysis& setRequiredBeamEnergies(const std::vector<std::pair<double, double> >& energies) {
       info().setEnergies(energies);
       return *this;
     }
 
 
     /// Location of reference data YODA file
     virtual std::string refFile() const {
       return info().refFile();
     }
     /// Get name of reference data file, which could be different from plugin name
     virtual std::string refDataName() const {
       return (info().getRefDataName().empty()) ? _defaultname : info().getRefDataName();
     }
     /// Set name of reference data file, which could be different from plugin name
     virtual void setRefDataName(const std::string& ref_data="") {
       info().setRefDataName(!ref_data.empty() ? ref_data : name());
     }
 
 
     /// @brief Get the actual AnalysisInfo object in which all this metadata is stored (non-const).
     ///
     /// @note For *internal* use!
     AnalysisInfo& info() {
       if (!_info) throw Error("No AnalysisInfo object :-O");
       return *_info;
     }
 
     /// @}
 
 
     /// @name Run conditions
     /// @{
 
     /// Check if we are running rivet-merge
     bool merging() const {
       return sqrtS() <= 0.0;
     }
 
     /// Check if the given conditions are compatible with this analysis' declared constraints
     bool compatibleWithRun() const;
 
     /// @}
 
 
     /// @name Analysis / beam compatibility testing
     ///
     /// @{
 
     /// Incoming beams for this run
     const ParticlePair& beams() const;
 
     /// Incoming beam IDs for this run
     PdgIdPair beamIDs() const;
 
     /// Incoming beam energies for this run
     pair<double,double> beamEnergies() const;
 
     /// Allowed centre-of-mass energies (in GeV) for this routine
     vector<double> allowedEnergies() const;
 
     /// Centre of mass energy for this run
     double sqrtS() const;
 
     /// Check if analysis is compatible with the provided beam particle IDs and energies
     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 in GeV
     bool beamsMatch(const PdgIdPair& beams, const std::pair<double,double>& energies) const;
 
     /// Check if analysis is compatible with the provided beam particle IDs
     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 energies
     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 CoM energy
     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 sqrtS is compatible with provided value
     bool isCompatibleWithSqrtS(double energy, double tolerance=1e-5) const;
 
     /// @}
 
 
     /// Access the controlling AnalysisHandler object.
     AnalysisHandler& handler() const { return *_analysishandler; }
 
 
   protected:
 
     /// Get a Log object based on the name() property of the calling analysis object.
     Log& getLog() const;
 
     /// Get the process cross-section in pb. Throws if this hasn't been set.
     double crossSection() const;
 
     /// Get the process cross-section per generated event in pb. Throws if this
     /// hasn't been set.
     double crossSectionPerEvent() const;
 
     /// Get the process cross-section error in pb. Throws if this hasn't been set.
     double crossSectionError() const;
 
     /// Get the process cross-section error per generated event in
     /// pb. Throws if this hasn't been set.
     double crossSectionErrorPerEvent() const;
 
     /// @brief Get the number of events seen (via the analysis handler).
     ///
     /// @note Use in the finalize phase only.
     size_t numEvents() const;
 
     /// @brief Get the sum of event weights seen (via the analysis handler).
     ///
     /// @note Use in the finalize phase only.
     double sumW() const;
     /// Alias
     double sumOfWeights() const { return sumW(); }
 
     /// @brief Get the sum of squared event weights seen (via the analysis handler).
     ///
     /// @note Use in the finalize phase only.
     double sumW2() const;
 
 
   protected:
 
     /// @defgroup analysis_histopaths Histogram paths
     ///
     /// @todo Add "tmp" flags to return /ANA/TMP/foo/bar paths
     ///
     /// @{
 
     /// Get the canonical histogram "directory" path for this analysis.
     const std::string histoDir() const;
 
     /// Get the canonical histogram path for the named histogram in this analysis.
     const std::string histoPath(const std::string& hname) const;
 
     /// Get the canonical histogram path for the numbered histogram in this analysis.
     const std::string histoPath(unsigned int datasetID, unsigned int xAxisID, unsigned int yAxisID) const;
 
     /// Get the internal histogram name for given d, x and y (cf. HepData)
     const std::string mkAxisCode(unsigned int datasetID, unsigned int xAxisID, unsigned int yAxisID) const;
 
     /// @}
 
 
     #ifdef HAVE_H5
     /// @name Auxiliary HDF5 reference data
     /// @{
 
     /// Read in an aux data HDF5 file
     H5::File auxFile() const {
       return H5::readFile(name()+".h5");
     }
 
     /// Read HDF5 file @a filename
     template <typename T>
     bool auxData(const string& dsname, T& rtndata) {
       /// @todo Cache loading the H5 files? On MPI?
       return H5::readData(name()+".h5", dsname, rtndata);
     }
 
     template <typename T>
     T auxData(const string& dsname) {
       /// @todo Cache loading the H5 files? On MPI?
       return H5::readData<T>(name()+".h5", dsname);
     }
 
     /// @}
     #endif
 
 
     /// @name Histogram reference data
     /// @{
 
     /// Get all reference data objects for this analysis
     const std::map<std::string, YODA::AnalysisObjectPtr>& refData() const {
       _cacheRefData();
       return _refdata;
     }
 
 
     /// Get reference data for a named histo
     /// @todo SFINAE to ensure that the type inherits from YODA::AnalysisObject?
     template <typename T=YODA::Estimate1D>
     const T& refData(const string& hname) const {
       _cacheRefData();
       MSG_TRACE("Using histo bin edges for " << name() << ":" << hname);
       if (!_refdata[hname]) {
         MSG_ERROR("Can't find reference histogram " << hname);
         throw Exception("Reference data " + hname + " not found.");
       }
       return dynamic_cast<T&>(*_refdata[hname]);
     }
 
 
     /// Get reference data for a numbered histo
     /// @todo SFINAE to ensure that the type inherits from YODA::AnalysisObject?
     template <typename T=YODA::Estimate1D>
     const T& refData(unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId) const {
       const string hname = mkAxisCode(datasetId, xAxisId, yAxisId);
       return refData<T>(hname);
     }
 
     /// @}
 
 
     /// @defgroup analysis_cbook Counter booking
     ///
     /// @todo Add "tmp" flags to book in standard temporary paths
     ///
     /// @{
 
     /// Book a counter.
     CounterPtr& book(CounterPtr&, const std::string& name);
 
     /// Book a counter, 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.
     CounterPtr& book(CounterPtr&, unsigned int datasetID, unsigned int xAxisID, unsigned int yAxisID);
 
     /// @}
 
 
     /// @name Estimate booking
     /// @{
 
     /// Book an estimate.
     Estimate0DPtr& book(Estimate0DPtr&, const std::string& name);
 
     /// 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.
     Estimate0DPtr& book(Estimate0DPtr&, unsigned int datasetID, unsigned int xAxisID, unsigned int yAxisID);
 
 
     /// @}
 
     /// @name BinnedDbn booking
     /// @{
 
     /// Book a ND histogram with @a nbins uniformly distributed across the range @a lower - @a upper .
     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) {
       if (nbins.size() != loUpPairs.size()) {
         throw RangeError("Vectors should have the same size!");
       }
       const string path = histoPath(name);
 
       YODA::BinnedDbn<DbnN, AxisT...> yao(nbins, loUpPairs, path);
       _setWriterPrecision(path, yao);
 
       return ao = registerAO(yao);
     }
 
     // Specialiation for 1D
     Histo1DPtr& book(Histo1DPtr& ao, const std::string& name,
                                      const size_t nbins, const double lower, const double upper) {
       return book(ao, name, vector<size_t>{nbins},
                   vector<pair<double,double>>{{lower,upper}});
     }
     //
     Profile1DPtr& book(Profile1DPtr& ao, const std::string& name,
                                          const size_t nbins, const double lower, const double upper) {
       return book(ao, name, vector<size_t>{nbins},
                   vector<pair<double,double>>{{lower,upper}});
     }
 
     // Specialiation for 2D
     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) {
       return book(ao, name, vector<size_t>{nbinsX,nbinsY},
                   vector<pair<double,double>>{{lowerX,upperX}, {lowerY,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) {
       return book(ao, name, vector<size_t>{nbinsX,nbinsY},
                   vector<pair<double,double>>{{lowerX,upperX}, {lowerY,upperY}});
     }
 
     // Specialiation for 3D
     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) {
       return book(ao, name, vector<size_t>{nbinsX,nbinsY,nbinsZ},
                   vector<pair<double,double>>{{lowerX,upperX}, {lowerY,upperY}, {lowerZ,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) {
       return book(ao, name, vector<size_t>{nbinsX,nbinsY,nbinsZ},
                   vector<pair<double,double>>{{lowerX,upperX}, {lowerY,upperY}, {lowerZ,upperZ}});
     }
 
     /// Book a ND histogram with non-uniform bins defined by the vector of bin edges @a binedges .
     template<size_t DbnN, typename... AxisT>
     BinnedDbnPtr<DbnN, AxisT...>& book(BinnedDbnPtr<DbnN, AxisT...>& ao, const std::string& name,
                                        const std::vector<AxisT>&... binedges) {
       const string path = histoPath(name);
       YODA::BinnedDbn<DbnN, AxisT...> yao(binedges..., path);
       _setWriterPrecision(path, yao);
 
       return ao = registerAO(yao);
     }
 
     /// Book a ND histogram with non-uniform bins defined by the vector of bin edges @a 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) {
       return book(ao, name, vector<AxisT>{binedges} ...);
     }
 
     /// 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,
                                         const YODA::BinnedEstimate<AxisT...>& refest) {
       const string path = histoPath(name);
 
       YODA::BinnedDbn<DbnN, AxisT...> yao(refest.binning(), path);
       for (const string& a : yao.annotations()) {
         if (a != "Path")  yao.rmAnnotation(a);
       }
       _setWriterPrecision(path, yao);
       return ao = registerAO(yao);
     }
 
     /// 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 std::string& name) {
       return book(ao, name, refData<YODA::BinnedEstimate<AxisT...>>(name));
     }
 
     /// 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.
     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) {
       const string name = mkAxisCode(datasetID, xAxisID, yAxisID);
       return book(ao, name);
     }
 
     /// @}
 
     /// @name 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) {
       ao = make_shared<HistoGroup<GroupAxisT, AxisT...>>(edges);
       if (ao->numBins() != names.size()) {
         throw RangeError("Binning and reference-data names don't match!");
       }
       for (auto& b : ao->bins()) {
         const string& refname = names[b.index()-1];
         book(b, refname, refData<YODA::BinnedEstimate<AxisT...>>(refname));
       }
       return ao;
     }
 
     template <typename GroupAxisT, typename... AxisT>
     HistoGroupPtr<GroupAxisT, AxisT...>& book(HistoGroupPtr<GroupAxisT, AxisT...>& ao,
                                               const std::vector<GroupAxisT>& edges) {
       return ao = make_shared<HistoGroup<GroupAxisT, AxisT...>>(edges);
     }
 
     template <typename GroupAxisT, typename... AxisT>
     HistoGroupPtr<GroupAxisT, AxisT...>& book(HistoGroupPtr<GroupAxisT, AxisT...>& ao,
                                               std::initializer_list<GroupAxisT>&& edges) {
       return ao = make_shared<HistoGroup<GroupAxisT, AxisT...>>(std::move(edges));
     }
 
     /// @}
 
     /// @name BinnedEstimate booking
     /// @{
 
     /// Book a ND estimate with @a nbins uniformly distributed across the range @a lower - @a upper .
     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) {
       if (nbins.size() != loUpPairs.size()) {
         throw RangeError("Vectors should have the same size!");
       }
       const string path = histoPath(name);
 
       YODA::BinnedEstimate<AxisT...> yao(nbins, loUpPairs, path);
       _setWriterPrecision(path, yao);
 
       return ao = registerAO(yao);
     }
 
 
     // Specialiation for 1D
     Estimate1DPtr& book(Estimate1DPtr& ao, const std::string& name,
                                            const size_t nbins, const double lower, const double upper) {
       return book(ao, name, vector<size_t>{nbins},
                   vector<pair<double,double>>{{lower,upper}});
     }
 
     // Specialiation for 2D
     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) {
       return book(ao, name, vector<size_t>{nbinsX,nbinsY},
                   vector<pair<double,double>>{{lowerX,upperX}, {lowerY,upperY}});
     }
 
     // Specialiation for 3D
     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) {
       return book(ao, name, vector<size_t>{nbinsX,nbinsY,nbinsZ},
                   vector<pair<double,double>>{{lowerX,upperX}, {lowerY,upperY}, {lowerZ,upperZ}});
     }
 
     /// Book a ND estimate with non-uniform bins defined by the vector of bin edges @a binedges .
     template<typename... AxisT>
     BinnedEstimatePtr<AxisT...>& book(BinnedEstimatePtr<AxisT...>& ao, const std::string& name,
                                       const std::vector<AxisT>&... binedges) {
       const string path = histoPath(name);
       YODA::BinnedEstimate<AxisT...> yao(binedges..., path);
       _setWriterPrecision(path, yao);
 
       return ao = registerAO(yao);
     }
 
     /// Book a ND estimate with non-uniform bins defined by the vector of bin edges @a binedges .
     template<typename... AxisT>
     BinnedEstimatePtr<AxisT...>& book(BinnedEstimatePtr<AxisT...>& ao, const std::string& name,
                                       const std::initializer_list<AxisT>&... binedges) {
       return book(ao, name, vector<AxisT>{binedges} ...);
     }
 
     /// Book a ND estimate, using the binnings in the reference data histogram.
     template<typename... AxisT>
     BinnedEstimatePtr<AxisT...>& book(BinnedEstimatePtr<AxisT...>& ao, const std::string& name) {
 
       const string path = histoPath(name);
       YODA::BinnedEstimate<AxisT...> yao;
       try {
         yao = YODA::BinnedEstimate<AxisT...>(refData<YODA::BinnedEstimate<AxisT...>>(name).binning());
       } catch (...) {
         MSG_DEBUG("Couldn't retrieve reference binning, continue with nullary AO constructor.");
       }
       yao.setPath(path);
       _setWriterPrecision(path, yao);
       return ao = registerAO(yao);
     }
 
     /// 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.
     template<typename... AxisT>
     BinnedEstimatePtr<AxisT...>& book(BinnedEstimatePtr<AxisT...>& ao, const unsigned int datasetID,
                                       const unsigned int xAxisID, const unsigned int yAxisID) {
       const string name = mkAxisCode(datasetID, xAxisID, yAxisID);
       return book(ao, name);
     }
 
     /// @}
 
 
     /// @name Scatter booking
     /// @{
 
     /// @brief 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 @a
     /// 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.
     template<size_t N>
     ScatterNDPtr<N>& book(ScatterNDPtr<N>& snd, const string& name, const bool copy_pts = false) {
       const string path = histoPath(name);
       YODA::ScatterND<N> scat(path);
       if (copy_pts) {
         const YODA::ScatterND<N> ref = refData<YODA::EstimateND<N-1>>(name).mkScatter();
         for (YODA::PointND<N> p : ref.points()) {
           p.setVal(N-1, 0.0);
           p.setErr(N-1, 0.0);
           scat.addPoint(std::move(p));
         }
       }
       _setWriterPrecision(path, scat);
       return snd = registerAO(scat);
     }
 
     /// @brief 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 @a
     /// 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.
     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) {
       const string axisCode = mkAxisCode(datasetID, xAxisID, yAxisID);
       return book(snd, axisCode, copy_pts);
     }
 
     /// @brief 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
     Scatter2DPtr& book(Scatter2DPtr& snd, const string& name,
                        const size_t npts, const double lower, const double upper) {
       const string path = histoPath(name);
 
       Scatter2D scat(path);
       const double binwidth = (upper-lower)/npts;
       for (size_t pt = 0; pt < npts; ++pt) {
         const double bincentre = lower + (pt + 0.5) * binwidth;
         scat.addPoint(bincentre, 0, binwidth/2.0, 0);
       }
       _setWriterPrecision(path, scat);
 
       return snd = registerAO(scat);
     }
     //
     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) {
       const string path = histoPath(name);
 
       Scatter3D scat(path);
       const double xbinwidth = (upperX-lowerX)/nptsX;
       const double ybinwidth = (upperY-lowerY)/nptsY;
       for (size_t xpt = 0; xpt < nptsX; ++xpt) {
         const double xbincentre = lowerX + (xpt + 0.5) * xbinwidth;
         for (size_t ypt = 0; ypt < nptsY; ++ypt) {
           const double ybincentre = lowerY + (ypt + 0.5) * ybinwidth;
           scat.addPoint(xbincentre, ybincentre, 0, 0.5*xbinwidth, 0.5*ybinwidth, 0);
         }
       }
       _setWriterPrecision(path, scat);
 
       return snd = registerAO(scat);
     }
 
     /// @brief 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
     Scatter2DPtr& book(Scatter2DPtr& snd, const string& name,
                        const std::vector<double>& binedges) {
       const string path = histoPath(name);
 
       Scatter2D scat(path);
       for (size_t pt = 0; pt < binedges.size()-1; ++pt) {
         const double bincentre = (binedges[pt] + binedges[pt+1]) / 2.0;
         const double binwidth = binedges[pt+1] - binedges[pt];
         scat.addPoint(bincentre, 0, binwidth/2.0, 0);
       }
       _setWriterPrecision(path, scat);
 
       return snd = registerAO(scat);
     }
     //
     Scatter3DPtr& book(Scatter3DPtr& snd, const string& name,
                        const std::vector<double>& binedgesX,
                        const std::vector<double>& binedgesY) {
       const string path = histoPath(name);
 
       Scatter3D scat(path);
       for (size_t xpt = 0; xpt < binedgesX.size()-1; ++xpt) {
         const double xbincentre = (binedgesX[xpt] + binedgesX[xpt+1]) / 2.0;
         const double xbinwidth = binedgesX[xpt+1] - binedgesX[xpt];
         for (size_t ypt = 0; ypt < binedgesY.size()-1; ++ypt) {
           const double ybincentre = (binedgesY[ypt] + binedgesY[ypt+1]) / 2.0;
           const double ybinwidth = binedgesY[ypt+1] - binedgesY[ypt];
           scat.addPoint(xbincentre, ybincentre, 0, 0.5*xbinwidth, 0.5*ybinwidth, 0);
         }
       }
       _setWriterPrecision(path, scat);
 
       return snd = registerAO(scat);
     }
 
     /// Book a 2-dimensional data point set with x-points from an existing scatter and a new path.
     template<size_t N>
     ScatterNDPtr<N>& book(ScatterNDPtr<N>& snd, const string& name, const YODA::ScatterND<N>& refscatter) {
       const string path = histoPath(name);
 
       YODA::ScatterND<N> scat(refscatter, path);
       for (const string& a : scat.annotations()) {
         if (a != "Path")  scat.rmAnnotation(a);
       }
       _setWriterPrecision(path, scat);
 
       return snd = registerAO(scat);
     }
 
     /// @}
 
     /// @defgroup Cutflow booking
     /// @{
 
     /// Book a Cutflow object defined by the vector of @a edges
     CutflowPtr& book(CutflowPtr& ao, const string& name, const std::vector<std::string>& edges) {
       const string path = histoPath(name);
       Cutflow yao(edges, path);
       _setWriterPrecision(path, yao);
       return ao = registerAO(yao);
     }
 
     /// Book a Cutflow object defined by the vector of @a edges
     CutflowPtr& book(CutflowPtr& ao, const string& name, const std::initializer_list<std::string>& edges) {
       return book(ao, name, vector<std::string>{edges});
     }
 
     /// @}
 
     /// @name Cutflows booking
     /// @{
 
     CutflowsPtr& book(CutflowsPtr& ao, const std::vector<std::string>& edges,
                                            const std::vector<std::vector<std::string>>& innerEdges) {
       ao = make_shared<Cutflows>(edges);
       if (ao->numBins() !=innerEdges.size()) {
         throw RangeError("Outer and Inner edges don't match");
       }
       for (auto& b : ao->bins()) {
         book(b, b.xEdge(), innerEdges[b.index()-1]);
       }
       return ao;
     }
 
     CutflowsPtr& book(CutflowsPtr& ao, const std::vector<std::string>& edges) {
       return ao = make_shared<Cutflows>(edges);
     }
 
     CutflowsPtr& book(CutflowsPtr& ao, std::initializer_list<std::string>&& edges) {
       return ao = make_shared<Cutflows>(std::move(edges));
     }
 
     /// @}
 
 
     /// @name 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) {
       (void) yao; // suppress unused variable warning
     }
 
     /// @name 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) {
       (void) raos; // suppress unused variable warning
       (void) iW; // suppress unused variable warning
     }
 
 
   public:
 
     /// @name Accessing options for this Analysis instance.
     /// @{
 
     /// Return the map of all options given to this analysis.
     const std::map<std::string,std::string>& options() const {
       return _options;
     }
 
     /// Get an option for this analysis instance as a string.
     std::string getOption(std::string optname, string def="") const {
       if ( _options.find(optname) != _options.end() )
         return _options.find(optname)->second;
       return def;
     }
 
     /// @brief 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.
     std::string getOption(std::string optname, const char* def) {
       return getOption<std::string>(optname, def);
     }
 
     /// @brief Get an option for this analysis instance converted to a specific type
     ///
     /// The return type is given by the specified @a 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.
     template<typename T>
     T getOption(std::string optname, T def) const {
       if (_options.find(optname) == _options.end()) return def;
       std::stringstream ss;
       ss.exceptions(std::ios::failbit);
       T ret;
       ss << _options.find(optname)->second;
       try {
         ss >> ret;
       } catch (...) {
         throw ReadError("Could not read user-provided option into requested type");
       }
       return ret;
     }
 
     /// @brief 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?
     // template<>
     // bool getOption<bool>(std::string optname, bool def) const {
     bool getOption(std::string optname, bool def) const {
       if (_options.find(optname) == _options.end()) return def;
       const std::string val = getOption(optname);
       const std::string lval = toLower(val);
       if (lval.empty()) return false;
       if (lval == "true" || lval == "yes" || lval == "on") return true;
       if (lval == "false" || lval == "no" || lval == "off") return false;
       return bool(getOption<int>(optname, 0));
     }
 
     /// @}
 
 
     /// @name Booking heavy ion features
     /// @{
 
     /// @brief Book a CentralityProjection
     ///
     /// Using a SingleValueProjection, @a 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 @a calHistName histogram in the @a
     /// calAnaName analysis. If a preloaded file with the output of a
     /// run using the @a calAnaName analysis contains a valid
     /// generated @a calHistName histogram, it will be used as an
     /// optional percentile binning. Also if this preloaded file
     /// contains a histogram with the name @a calHistName with an
     /// appended "_IMP" This histogram will be used to add an optional
     /// centrality percentile based on the generated impact
     /// parameter. If @a increasing is true, a low (high) value of @a proj
     /// is assumed to correspond to a more peripheral (central) event.
     const CentralityProjection&
     declareCentrality(const SingleValueProjection &proj,
                       string calAnaName, string calHistName,
                       const string projName,
               PercentileOrder pctorder=PercentileOrder::DECREASING);
 
 
     /// @brief Book a Percentile Multiplexer around AnalysisObjects.
     ///
     /// Based on a previously registered CentralityProjection named @a
     /// projName book one AnalysisObject for each @a centralityBin and
     /// name them according to the corresponding code in the @a ref
     /// vector.
     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) {
 
       using RefT = typename ReferenceTraits<T>::RefT;
       using WrapT = MultiplexPtr<Multiplexer<T>>;
 
       Percentile<T> pctl(this, projName);
 
       const size_t nCent = centralityBins.size();
       for (size_t iCent = 0; iCent < nCent; ++iCent) {
         const string axisCode = mkAxisCode(std::get<0>(ref[iCent]),
                                            std::get<1>(ref[iCent]),
                                            std::get<2>(ref[iCent]));
         const RefT& refscatter = refData<RefT>(axisCode);
 
         WrapT wtf(_weightNames(), T(refscatter, histoPath(axisCode)));
         wtf = addAnalysisObject(wtf);
 
         CounterPtr cnt(_weightNames(), Counter(histoPath("TMP/COUNTER/" + axisCode)));
         cnt = addAnalysisObject(cnt);
 
         pctl.add(wtf, cnt, centralityBins[iCent]);
       }
       return pctl;
     }
 
 
     // /// @brief Book Percentile Multiplexers around AnalysisObjects.
     // ///
     // /// Based on a previously registered CentralityProjection named @a
     // /// projName book one (or several) AnalysisObject(s) named
     // /// according to @a ref where the x-axis will be filled according
     // /// to the percentile output(s) of the @projName.
     // ///
     // /// @todo Convert to just be called book() cf. others
     // template <class T>
     // PercentileXaxis<T> bookPercentileXaxis(string projName,
     //                                        tuple<int, int, int> ref) {
 
     //   typedef typename ReferenceTraits<T>::RefT RefT;
     //   typedef MultiplexPtr<Multiplexer<T>> WrapT;
 
     //   PercentileXaxis<T> pctl(this, projName);
 
     //   const string axisCode = mkAxisCode(std::get<0>(ref),
     //                                      std::get<1>(ref),
     //                                      std::get<2>(ref));
     //   const RefT & refscatter = refData<RefT>(axisCode);
 
     //   WrapT wtf(_weightNames(), T(refscatter, histoPath(axisCode)));
     //   wtf = addAnalysisObject(wtf);
 
     //   CounterPtr cnt(_weightNames(), Counter());
     //   cnt = addAnalysisObject(cnt);
 
     //   pctl.add(wtf, cnt);
     //   return pctl;
     // }
 
     /// @}
 
 
   private:
 
     // Functions that have to be defined in the .cc file to avoid circular #includes
 
     /// Get the list of weight names from the handler
     vector<string> _weightNames() const;
 
     /// Get the list of weight names from the handler
     YODA::AnalysisObjectPtr _getPreload (const string& name) const;
 
     /// Get an AO from another analysis
     MultiplexAOPtr _getOtherAnalysisObject(const std::string & ananame, const std::string& name);
 
     /// Check that analysis objects aren't being booked/registered outside the init stage
     void _checkBookInit() const;
 
     /// Check if we are in the init stage.
     bool _inInit() const;
 
     /// Check if we are in the finalize stage.
     bool _inFinalize() const;
 
     /// Set DP annotation
     template <typename YODAT>
     void _setWriterPrecision(const string& path, YODAT& yao) {
       const string re = _info->writerDoublePrecision();
       if (re != "") {
         std::smatch match;
         const bool needsDP = std::regex_search(path, match, std::regex(re));
         if (needsDP)  yao.template setAnnotation("WriterDoublePrecision", "1");
       }
     }
 
 
   private:
 
     /// To be used in finalize context only
     class CounterAdapter {
     public:
 
       CounterAdapter(double x) : x_(x) {}
 
       CounterAdapter(const YODA::Counter& c) : x_(c.val()) {}
 
       CounterAdapter(const YODA::Estimate& e) : x_(e.val()) {}
 
       CounterAdapter(const YODA::Scatter1D& s) : x_(s.points()[0].x()) {
         if (s.numPoints() != 1)  throw RangeError("Can only scale by a single value.");
       }
 
       operator double() const { return x_; }
 
     private:
       double x_;
 
     };
 
 
   public:
 
     double dbl(double x) { return x; }
     double dbl(const YODA::Counter& c) { return c.val(); }
     double dbl(const YODA::Estimate0D& e) { return e.val(); }
     double dbl(const YODA::Scatter1D& s) {
       if ( s.numPoints() != 1 ) throw RangeError("Only scatter with single value supported.");
       return s.points()[0].x();
     }
 
 
   protected:
 
     /// @name Analysis object manipulation
     ///
     /// @{
 
     /// Multiplicatively scale the given AnalysisObject, @a ao, by factor @a factor.
     template<typename T>
     void scale(MultiplexPtr<Multiplexer<T>>& ao, CounterAdapter factor) {
       if (!ao) {
         MSG_WARNING("Failed to scale AnalysisObject=NULL in analysis "
                     << name() << " (scale=" << double(factor) << ")");
         return;
       }
       if (std::isnan(double(factor)) || std::isinf(double(factor))) {
         MSG_WARNING("Failed to scale AnalysisObject=" << ao->path() << " in analysis: "
                     << name() << " (invalid scale factor = " << double(factor) << ")");
         factor = 0;
       }
       MSG_TRACE("Scaling AnalysisObject " << ao->path() << " by factor " << double(factor));
       try {
         if constexpr( isFillable<T>::value ) {
           ao->scaleW(factor);
         }
         else {
           ao->scale(factor);
         }
       }
       catch (YODA::Exception& we) {
         MSG_WARNING("Could not scale AnalysisObject " << ao->path());
         return;
       }
     }
 
     /// Multiplicatively scale the given histogram group, @a group, by factor @a factor.
     template<typename GroupAxisT, typename... AxisT>
     void scale(HistoGroupPtr<GroupAxisT, AxisT...>& group, CounterAdapter factor) {
       if (!group) {
         MSG_WARNING("Failed to scale AnalysisObject=NULL in analysis "
                     << name() << " (scale=" << double(factor) << ")");
         return;
       }
       if (std::isnan(double(factor)) || std::isinf(double(factor))) {
         MSG_WARNING("Failed to scale histo group in analysis: "
                     << name() << " (invalid scale factor = " << double(factor) << ")");
         factor = 0;
       }
       MSG_TRACE("Scaling histo group by factor " << double(factor));
       try {
         group->scaleW(factor);
       }
       catch (YODA::Exception& we) {
         MSG_WARNING("Could not scale histo group.");
         return;
       }
     }
 
     /// Multiplicatively scale the given histogram group, @a group, by factors @a factors.
     template<typename GroupAxisT, typename... AxisT>
     void scale(HistoGroupPtr<GroupAxisT, AxisT...>& group, const vector<double>& factors) {
       if (!group) {
         MSG_WARNING("Failed to scale AnalysisObject=NULL in analysis " << name());
         return;
       }
       if (group->numBins(true) != factors.size()) {
         throw RangeError(name() + ": Number of scale factors does not match group binning");
         return;
       }
       for (auto& b : group->bins(true)) {
         if (!b.get())  continue;
         double factor = factors[b.index()];
         if (std::isnan(factor) || std::isinf(factor)) {
           MSG_WARNING("Failed to scale componment of histo group in analysis: "
                       << name() << " (invalid scale factor = " << factor << ")");
           factor = 0;
         }
         MSG_TRACE("Scaling histo group element by factor " << factor);
         try {
           b->scaleW(factor);
         }
         catch (YODA::Exception& we) {
           MSG_WARNING("Could not scale component of histo group.");
         }
       }
     }
 
     /// Multiplicatively scale the cutflow group, @a group, by factor @a factor.
     void scale(CutflowsPtr& group, CounterAdapter factor) {
       if (!group) {
         MSG_WARNING("Failed to scale AnalysisObject=NULL in analysis "
                     << name() << " (scale=" << double(factor) << ")");
         return;
       }
       if (std::isnan(double(factor)) || std::isinf(double(factor))) {
         MSG_WARNING("Failed to scale histo group in analysis: "
                     << name() << " (invalid scale factor = " << double(factor) << ")");
         factor = 0;
       }
       MSG_TRACE("Scaling histo group by factor " << double(factor));
       try {
         group->scale(factor);
       }
       catch (YODA::Exception& we) {
         MSG_WARNING("Could not scale histo group.");
         return;
       }
     }
 
     /// Iteratively scale the AOs in the map @a aos, by factor @a factor.
     template<typename T, typename U>
     void scale(std::map<T, U>& aos, CounterAdapter factor) {
       for (auto& item : aos)  scale(item.second, factor);
     }
 
     /// Iteratively scale the AOs in the iterable @a aos, by factor @a factor.
     template <typename AORange, typename = std::enable_if_t<YODA::isIterable<AORange>>>
     void scale(AORange& aos, CounterAdapter factor) {
       for (auto& ao : aos)  scale(ao, factor);
     }
 
     /// Iteratively scale the AOs in the initialiser list @a aos, by factor @a factor.
     template <typename T>
     void scale(std::initializer_list<T> aos, CounterAdapter factor) {
       for (auto& ao : std::vector<T>{aos})  scale(ao, factor);
     }
 
     /// Iteratively scale the AOs in the map @a aos, by factors @a factors.
     template<typename T, typename U>
     void scale(std::map<T, U>& aos, const vector<double>& factors) {
       for (auto& item : aos)  scale(item.second, factors);
     }
 
     /// Iteratively scale the AOs in the iterable @a aos, by factors @a factors.
     template <typename AORange, typename = std::enable_if_t<YODA::isIterable<AORange>>>
     void scale(AORange& aos, const vector<double>& factors) {
       for (auto& ao : aos)  scale(ao, factors);
     }
 
     /// Iteratively scale the AOs in the initialiser list @a aos, by factors @a factors.
     template <typename T>
     void scale(std::initializer_list<T> aos, const vector<double>& factors) {
       for (auto& ao : std::vector<T>{aos})  scale(ao, factors);
     }
 
     /// Scale the given histogram group, @a group, by the group axis width
     template<typename GroupAxisT, typename... AxisT>
     void divByGroupWidth(HistoGroupPtr<GroupAxisT, AxisT...>& group) {
       if (!group) {
         MSG_WARNING("Failed to scale HistoGroup=NULL in analysis "
                     << name() << " by group axis width");
         return;
       }
       group->divByGroupWidth();
     }
 
     /// Iteratively scale the HistoGroups in the map @a aos, by the group axis width
     template<typename T, typename U>
     void divByGroupWidth(std::map<T, U>& aos) {
       for (auto& item : aos)  divByGroupWidth(item.second);
     }
 
     /// Iteratively scale the HistoGroups in the iterable @a aos, by the group axis width
     template <typename AORange, typename = std::enable_if_t<YODA::isIterable<AORange>>>
     void divByGroupWidth(AORange& aos) {
       for (auto& ao : aos)  divByGroupWidth(ao);
     }
 
     /// Iteratively scale the HistoGroups in the initialiser list @a aos, by the group axis width
     template <typename T>
     void divByGroupWidth(std::initializer_list<T> aos) {
       for (auto& ao : std::vector<T>{aos})  divByGroupWidth(ao);
     }
 
 
     /// Normalize the given analysis object, @a ao to a target @a norm.
     template <size_t DbnN, typename... AxisT>
     void normalize(BinnedDbnPtr<DbnN, AxisT...> ao, const CounterAdapter norm=1.0, const bool includeoverflows=true) {
       if (!ao) {
         MSG_WARNING("Failed to normalize histo=NULL in analysis " << name() << " (norm=" << double(norm) << ")");
         return;
       }
       MSG_TRACE("Normalizing histo " << ao->path() << " to " << double(norm));
       try {
         const double hint = ao->integral(includeoverflows);
         if (hint == 0)  MSG_DEBUG("Skipping histo with null area " << ao->path());
         else            ao->normalize(norm, includeoverflows);
       }
       catch (YODA::Exception& we) {
         MSG_WARNING("Could not normalize histo " << ao->path());
         return;
       }
     }
 
     /// Normalize each AO in the given histogram group, @a group to a target @a norm.
     template <typename GroupAxisT, typename... AxisT>
     void normalize(HistoGroupPtr<GroupAxisT, AxisT...> group, const CounterAdapter norm=1.0, const bool includeoverflows=true) {
       if (!group) {
         MSG_WARNING("Failed to normalize histo=NULL in analysis " << name() << " (norm=" << double(norm) << ")");
         return;
       }
       MSG_TRACE("Normalizing histo group  to " << double(norm));
       try {
         const double hint = group->integral(includeoverflows);
         if (hint == 0)  MSG_DEBUG("Skipping histo group with null area.");
         else            group->normalize(norm, includeoverflows);
       }
       catch (YODA::Exception& we) {
         MSG_WARNING("Could not normalize histo group.");
         return;
       }
     }
 
 
     /// Iteratively normalise the AOs in the iterable @a iter, by factor @a factor.
     template <typename AORange, typename = std::enable_if_t<YODA::isIterable<AORange>>>
     void normalize(AORange& aos, const CounterAdapter norm=1.0, const bool includeoverflows=true) {
       for (auto& ao : aos)  normalize(ao, norm, includeoverflows);
     }
 
     /// Iteratively normalise the AOs in the initialiser list @a iter to a target @a norm.
     template<typename T>
     void normalize(std::initializer_list<T>&& aos, const CounterAdapter norm=1.0, const bool includeoverflows=true) {
       for (auto& ao : aos)  normalize(ao, norm, includeoverflows);
     }
 
     /// Iteratively normalise the AOs in the map @a aos to a target @a norm.
     template<typename T, typename U>
     void normalize(std::map<T, U>& aos, //BinnedDbnPtr<DbnN, AxisT...>>& aos,
                    const CounterAdapter norm=1.0, const bool includeoverflows=true) {
       for (auto& item : aos)  normalize(item.second, norm, includeoverflows);
     }
 
     /// Normalize the given histogram group, @a group to a target @a norm.
     template <typename GroupAxisT, typename... AxisT>
     void normalizeGroup(HistoGroupPtr<GroupAxisT, AxisT...> group, const CounterAdapter norm=1.0, const bool includeoverflows=true) {
       if (!group) {
         MSG_WARNING("Failed to normalize histo=NULL in analysis " << name() << " (norm=" << double(norm) << ")");
         return;
       }
       MSG_TRACE("Normalizing histo group  to " << double(norm));
       try {
         const double hint = group->integral(includeoverflows);
         if (hint == 0)  MSG_DEBUG("Skipping histo group with null area.");
         else            group->normalizeGroup(norm, includeoverflows);
       }
       catch (YODA::Exception& we) {
         MSG_WARNING("Could not normalize histo group.");
         return;
       }
     }
 
     /// Iteratively normalise the HistoGroups in the iterable @a iter, by factor @a factor.
     template <typename AORange, typename = std::enable_if_t<YODA::isIterable<AORange>>>
     void normalizeGroup(AORange& aos, const CounterAdapter norm=1.0, const bool includeoverflows=true) {
       for (auto& ao : aos)  normalizeGroup(ao, norm, includeoverflows);
     }
 
     /// Iteratively normalise the HistoGroups in the initialiser list @a iter to a target @a norm.
     template<typename T>
     void normalizeGroup(std::initializer_list<T>&& aos, const CounterAdapter norm=1.0, const bool includeoverflows=true) {
       for (auto& ao : aos)  normalizeGroup(ao, norm, includeoverflows);
     }
 
     /// Iteratively normalise the HistoGroups in the map @a aos to a target @a norm.
     template<typename T, typename U>
     void normalizeGroup(std::map<T, U>& aos, //BinnedDbnPtr<DbnN, AxisT...>>& aos,
                    const CounterAdapter norm=1.0, const bool includeoverflows=true) {
       for (auto& item : aos)  normalizeGroup(item.second, norm, includeoverflows);
     }
 
 
     /// Helper for histogram conversion to an inert estimate type
     ///
     /// @note Assigns to the (already registered) output estimate, @a est.
     /// Preserves the path information of the target.
     template<size_t DbnN, typename... AxisT>
     void barchart(BinnedDbnPtr<DbnN, AxisT...> ao, BinnedEstimatePtr<AxisT...> est) const {
       const string path = est->path();
       *est = ao->mkEstimate(path, "stats", false); //< do NOT divide by bin area cf. a differential dsigma/dX histogram
     }
 
     /// Helper for counter division.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     void divide(CounterPtr c1, CounterPtr c2, Estimate0DPtr est) const;
 
     /// Helper for histogram division with raw YODA objects.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     void divide(const YODA::Counter& c1, const YODA::Counter& c2, Estimate0DPtr est) const;
 
     /// Helper for counter division.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     void divide(Estimate0DPtr e1, Estimate0DPtr e2, Estimate0DPtr est) const;
 
     /// Helper for estimate division with raw YODA objects.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     void divide(const YODA::Estimate0D& e1, const YODA::Estimate0D& e2, Estimate0DPtr est) const;
 
 
     /// Helper for histogram division.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     template<size_t DbnN, typename... AxisT>
     void divide(const YODA::BinnedDbn<DbnN, AxisT...>& h1, const YODA::BinnedDbn<DbnN, AxisT...>& h2,
                 BinnedEstimatePtr<AxisT...> est) const {
       const string path = est->path();
       *est = h1 / h2;
       est->setPath(path);
     }
     //
     template<size_t DbnN, typename... AxisT>
     void divide(BinnedDbnPtr<DbnN, AxisT...> h1, BinnedDbnPtr<DbnN, AxisT...> h2,
                              BinnedEstimatePtr<AxisT...> est) const {
       return divide(*h1, *h2, est);
     }
 
     /// Helper for binned estimate division.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     template<typename... AxisT>
     void divide(const YODA::BinnedEstimate<AxisT...>& e1, const YODA::BinnedEstimate<AxisT...>& e2,
                 BinnedEstimatePtr<AxisT...> est) const {
       const string path = est->path();
       *est = e1 / e2;
       est->setPath(path);
     }
     //
     template<typename... AxisT>
     void divide(BinnedEstimatePtr<AxisT...> e1, BinnedEstimatePtr<AxisT...> e2,
                              BinnedEstimatePtr<AxisT...> est) const {
       return divide(*e1, *e2, est);
     }
 
 
 
     /// Helper for counter efficiency calculation.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     void efficiency(CounterPtr c1, CounterPtr c2, Estimate0DPtr est) const {
       efficiency(*c1, *c2, est);
     }
 
     /// Helper for counter efficiency calculation.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     void efficiency(const YODA::Counter& c1, const YODA::Counter& c2, Estimate0DPtr est) const {
       const string path = est->path();
       *est = YODA::efficiency(c1, c2);
       est->setPath(path);
     }
 
 
 
     /// Helper for histogram efficiency calculation.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     template<size_t DbnN, typename... AxisT>
     void efficiency(const YODA::BinnedDbn<DbnN, AxisT...>& h1, const YODA::BinnedDbn<DbnN, AxisT...>& h2,
                     BinnedEstimatePtr<AxisT...> est) const {
       const string path = est->path();
       *est = YODA::efficiency(h1, h2);
       est->setPath(path);
     }
     //
     template<size_t DbnN, typename... AxisT>
     void efficiency(BinnedDbnPtr<DbnN, AxisT...> h1, BinnedDbnPtr<DbnN, AxisT...> h2,
                     BinnedEstimatePtr<AxisT...> est) const {
       efficiency(*h1, *h2, est);
     }
 
 
     /// Helper for estimate efficiency calculation.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     template<typename... AxisT>
     void efficiency(const YODA::BinnedEstimate<AxisT...>& e1, const YODA::BinnedEstimate<AxisT...>& e2,
                     BinnedEstimatePtr<AxisT...> est) const {
       const string path = est->path();
       *est = YODA::efficiency(e1, e2);
       est->setPath(path);
     }
     //
     template<typename... AxisT>
     void efficiency(BinnedEstimatePtr<AxisT...> e1, BinnedEstimatePtr<AxisT...> e2,
                     BinnedEstimatePtr<AxisT...> est) const {
       efficiency(*e1, *e2, est);
     }
 
 
     /// Helper for histogram asymmetry calculation.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     template<size_t DbnN, typename... AxisT>
     void asymm(const YODA::BinnedDbn<DbnN, AxisT...>& h1, const YODA::BinnedDbn<DbnN, AxisT...>& h2,
                BinnedEstimatePtr<AxisT...> est) const {
       const string path = est->path();
       *est = YODA::asymm(h1, h2);
       est->setPath(path);
     }
     //
     template<size_t DbnN, typename... AxisT>
     void asymm(BinnedDbnPtr<DbnN, AxisT...> h1, BinnedDbnPtr<DbnN, AxisT...> h2,
                BinnedEstimatePtr<AxisT...> est) const {
       asymm(*h1, *h2, est);
     }
 
     /// Helper for estimate asymmetry calculation.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     template<typename... AxisT>
     void asymm(const YODA::BinnedEstimate<AxisT...>& e1, const YODA::BinnedEstimate<AxisT...>& e2,
                BinnedEstimatePtr<AxisT...> est) const {
       const string path = est->path();
       *est = YODA::asymm(e1, e2);
       est->setPath(path);
     }
     //
     template<typename... AxisT>
     void asymm(BinnedEstimatePtr<AxisT...> e1, BinnedEstimatePtr<AxisT...> e2,
                BinnedEstimatePtr<AxisT...> est) const {
       asymm(*e1, *e2, est);
     }
 
     /// Helper for converting a differential histo to an integral one.
     ///
     /// @note Assigns to the (already registered) output estimate, @a est. Preserves the path information of the target.
     template<size_t DbnN, typename... AxisT>
     void integrate(const YODA::BinnedDbn<DbnN, AxisT...>& h, BinnedEstimatePtr<AxisT...> est) const {
       const string path = est->path();
       *est = mkIntegral(h);
       est->setPath(path);
     }
     //
     template<size_t DbnN, typename... AxisT>
     void integrate(BinnedDbnPtr<DbnN, AxisT...>& h, BinnedEstimatePtr<AxisT...> est) const {
       integrate(*h, est);
     }
 
     /// @}
 
 
   public:
 
     /// List of registered analysis data objects
     const vector<MultiplexAOPtr>& analysisObjects() const {
       return _analysisobjects;
     }
 
 
   protected:
 
     /// @name Data object registration, retrieval, and removal
     /// @{
 
     /// Get the default/nominal weight index
     size_t defaultWeightIndex() const;
 
     /// Get a preloaded YODA object.
     template <typename YODAT>
     shared_ptr<YODAT> getPreload(const string& path) const {
       return dynamic_pointer_cast<YODAT>(_getPreload(path));
     }
 
 
     /// Register a new data object, optionally read in preloaded data.
     template <typename YODAT>
     MultiplexPtr< Multiplexer<YODAT> > registerAO(const YODAT& yao) {
       using MultiplexerT = Multiplexer<YODAT>;
       using YODAPtrT = shared_ptr<YODAT>;
       using RAOT = MultiplexPtr<MultiplexerT>;
 
       if ( !_inInit() && !_inFinalize() ) {
         MSG_ERROR("Can't book objects outside of init() or finalize()");
         throw UserError(name() + ": Can't book objects outside of init() or finalize().");
       }
 
       // First check that we haven't booked this before.
       // This is allowed when booking in finalize: just warn in that case.
       // If in init(), throw an exception: it's 99.9% never going to be intentional.
       for (auto& waold : analysisObjects()) {
         if ( yao.path() == waold.get()->basePath() ) {
           const string msg = "Found double-booking of " + yao.path() + " in " + name();
           if ( _inInit() ) {
             MSG_ERROR(msg);
             throw LookupError(msg);
           } else {
             MSG_WARNING(msg + ". Keeping previous booking");
           }
           return RAOT(dynamic_pointer_cast<MultiplexerT>(waold.get()));
         }
       }
 
       shared_ptr<MultiplexerT> wao = make_shared<MultiplexerT>();
       wao->_basePath = yao.path();
       YODAPtrT yaop = make_shared<YODAT>(yao);
 
       for (const string& weightname : _weightNames()) {
         // Create two YODA objects for each weight. Copy from
         // preloaded YODAs if present. First the finalized yoda:
         string finalpath = yao.path();
         if ( weightname != "" ) finalpath +=  "[" + weightname + "]";
         YODAPtrT preload = getPreload<YODAT>(finalpath);
         if ( preload ) {
           if ( !bookingCompatible(preload, yaop) ) {
             /// @todo What about if/when we want to make the final objects the Scatter or binned persistent type?
             MSG_WARNING("Found incompatible pre-existing data object with same base path "
                         << finalpath <<  " for " << name());
             preload = nullptr;
           } else {
             MSG_TRACE("Using preloaded " << finalpath << " in " <<name());
             wao->_final.push_back(make_shared<YODAT>(*preload));
           }
         }
         else {
           wao->_final.push_back(make_shared<YODAT>(yao));
           wao->_final.back()->setPath(finalpath);
         }
 
         // Then the raw filling yodas.
         string rawpath = "/RAW" + finalpath;
         preload = getPreload<YODAT>(rawpath);
         if ( preload ) {
           if ( !bookingCompatible(preload, yaop) ) {
             MSG_WARNING("Found incompatible pre-existing data object with same base path "
                         << rawpath <<  " for " << name());
             preload = nullptr;
           } else {
             MSG_TRACE("Using preloaded " << rawpath << " in " <<name());
             wao->_persistent.push_back(make_shared<YODAT>(*preload));
           }
         }
         else {
           wao->_persistent.push_back(make_shared<YODAT>(yao));
           wao->_persistent.back()->setPath(rawpath);
         }
       }
       MultiplexPtr<MultiplexerT> ret(wao);
 
       ret.get()->unsetActiveWeight();
       if ( _inFinalize() ) {
         // If booked in finalize() we assume it is the first time
         // finalize is run.
         ret.get()->pushToFinal();
         ret.get()->setActiveFinalWeightIdx(0);
       }
       _analysisobjects.push_back(ret);
 
       return ret;
     }
 
 
     /// Register a data object in the histogram system
     template <typename AO=MultiplexAOPtr>
     AO addAnalysisObject(const AO& aonew) {
       _checkBookInit();
 
       for (const MultiplexAOPtr& ao : analysisObjects()) {
 
         // Check AO base-name first
         ao.get()->setActiveWeightIdx(defaultWeightIndex());
         aonew.get()->setActiveWeightIdx(defaultWeightIndex());
         if (ao->path() != aonew->path()) continue;
 
         // If base-name matches, check compatibility
         // NB. This evil is because dynamic_ptr_cast can't work on MultiplexPtr directly
         AO aoold = AO(dynamic_pointer_cast<typename AO::value_type>(ao.get())); //< OMG
         if ( !aoold || !bookingCompatible(aonew, aoold) ) {
           MSG_WARNING("Found incompatible pre-existing data object with same base path "
                       << aonew->path() <<  " for " << name());
           throw LookupError("Found incompatible pre-existing data object with same base path during AO booking");
         }
 
         // Finally, check all weight variations
         for (size_t weightIdx = 0; weightIdx < _weightNames().size(); ++weightIdx) {
           aoold.get()->setActiveWeightIdx(weightIdx);
           aonew.get()->setActiveWeightIdx(weightIdx);
           if (aoold->path() != aonew->path()) {
             MSG_WARNING("Found incompatible pre-existing data object with different weight-path "
                         << aonew->path() <<  " for " << name());
             throw LookupError("Found incompatible pre-existing data object with same weight-path during AO booking");
           }
         }
 
         // They're fully compatible: bind and return
         aoold.get()->unsetActiveWeight();
         MSG_TRACE("Bound pre-existing data object " << aoold->path() <<  " for " << name());
         return aoold;
       }
 
       // No equivalent found
       MSG_TRACE("Registered " << aonew->annotation("Type") << " " << aonew->path() <<  " for " << name());
       aonew.get()->unsetActiveWeight();
 
       _analysisobjects.push_back(aonew);
       return aonew;
     }
 
     /// Unregister a data object from the histogram system (by name)
     void removeAnalysisObject(const std::string& path);
 
     /// Unregister a data object from the histogram system (by pointer)
     void removeAnalysisObject(const MultiplexAOPtr& ao);
 
     /// Get a Rivet data object from the histogram system
     template <typename AO=MultiplexAOPtr>
     const AO getAnalysisObject(const std::string& aoname) const {
       for (const MultiplexAOPtr& ao : analysisObjects()) {
         ao.get()->setActiveWeightIdx(defaultWeightIndex());
         if (ao->path() == histoPath(aoname)) {
           // return dynamic_pointer_cast<AO>(ao);
           return AO(dynamic_pointer_cast<typename AO::value_type>(ao.get()));
         }
       }
       throw LookupError("Data object " + histoPath(aoname) + " not found");
     }
 
 
     // /// Get a data object from the histogram system
     // template <typename AO=YODA::AnalysisObject>
     // const std::shared_ptr<AO> getAnalysisObject(const std::string& name) const {
     //   foreach (const AnalysisObjectPtr& ao, analysisObjects()) {
     //     if (ao->path() == histoPath(name)) return dynamic_pointer_cast<AO>(ao);
     //   }
     //   throw LookupError("Data object " + histoPath(name) + " not found");
     // }
 
     // /// Get a data object from the histogram system (non-const)
     // template <typename AO=YODA::AnalysisObject>
     // std::shared_ptr<AO> getAnalysisObject(const std::string& name) {
     //   foreach (const AnalysisObjectPtr& ao, analysisObjects()) {
     //     if (ao->path() == histoPath(name)) return dynamic_pointer_cast<AO>(ao);
     //   }
     //   throw LookupError("Data object " + histoPath(name) + " not found");
     // }
 
 
     /// Get a data object from another analysis (e.g. preloaded
     /// calibration histogram).
     template <typename AO=MultiplexAOPtr>
     AO getAnalysisObject(const std::string& ananame,
                          const std::string& aoname) {
       MultiplexAOPtr ao = _getOtherAnalysisObject(ananame, aoname);
       // return dynamic_pointer_cast<AO>(ao);
       return AO(dynamic_pointer_cast<typename AO::value_type>(ao.get()));
     }
 
     /// @}
 
 
   private:
 
     /// Name passed to constructor (used to find .info analysis data file, and as a fallback)
     string _defaultname;
 
     /// Pointer to analysis metadata object
     unique_ptr<AnalysisInfo> _info;
 
     /// Storage of all plot objects
     /// @todo Make this a map for fast lookup by path?
     vector<MultiplexAOPtr> _analysisobjects;
 
     /// @name Cross-section variables
     /// @{
     double _crossSection;
     bool _gotCrossSection;
     /// @}
 
     /// The controlling AnalysisHandler object.
     AnalysisHandler* _analysishandler;
 
     /// Collection of cached refdata to speed up many autobookings: the
     /// reference data file should only be read once.
     mutable std::map<std::string, YODA::AnalysisObjectPtr> _refdata;
 
     /// Options the (this instance of) the analysis
     map<string, string> _options;
 
     /// The string of options.
     string _optstring;
 
 
   private:
 
     /// @name Utility functions
     /// @{
 
     /// Get the reference data for this paper and cache it.
     void _cacheRefData() const;
 
     /// @}
 
   };
 
 
   // // Template specialisation for literal character strings (which don't play well with stringstream)
   // template<>
   // inline std::string Analysis::getOption(std::string optname, const char* def) {
   //   return getOption<std::string>(optname, def); //.c_str();
   // }
 
 
 }
 
 
 // Include definition of analysis plugin system so that analyses automatically see it when including Analysis.hh
 #include "Rivet/AnalysisBuilder.hh"
 
 
 /// @defgroup anamacros Analysis macros
 /// @{
 
 /// @def RIVET_DECLARE_PLUGIN
 /// Preprocessor define to prettify the global-object plugin hook mechanism
 #define RIVET_DECLARE_PLUGIN(clsname) ::Rivet::AnalysisBuilder<clsname> plugin_ ## clsname
 
 /// @def RIVET_DECLARE_ALIASED_PLUGIN
 /// Preprocessor define to prettify the global-object plugin hook mechanism, with an extra alias name for this analysis
 #define RIVET_DECLARE_ALIASED_PLUGIN(clsname, alias) RIVET_DECLARE_PLUGIN(clsname)( #alias )
 
 /// @def RIVET_DEFAULT_ANALYSIS_CTOR
 /// Preprocessor define to prettify the awkward constructor with name string argument
 #define RIVET_DEFAULT_ANALYSIS_CTOR(clsname) clsname() : Analysis(# clsname) {}
 
 /// @def RIVET_REGISTER_TYPE
 /// Preprocessor define to prettify on-the-fly type registration
 #define RIVET_REGISTER_TYPE(...) handler().registerType<__VA_ARGS__>()
 
 /// @def RIVET_REGISTER_BINNED_SET
 /// Preprocessor define to prettify on-the-fly type registration
 #define RIVET_REGISTER_BINNED_SET(...) { \
     RIVET_REGISTER_TYPE(YODA::BinnedHisto<__VA_ARGS__>); \
     RIVET_REGISTER_TYPE(YODA::BinnedProfile<__VA_ARGS__>); \
     RIVET_REGISTER_TYPE(YODA::BinnedEstimate<__VA_ARGS__>); }
 
 /// @}
 
 
 #endif

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