RooAbsL.h

Go to the documentation of this file.

/*
 * Project: RooFit
 * Authors:
 *   PB, Patrick Bos, Netherlands eScience Center, p.bos@esciencecenter.nl
 *
 * Copyright (c) 2021, CERN
 *
 * Redistribution and use in source and binary forms,
 * with or without modification, are permitted according to the terms
 * listed in LICENSE (http://roofit.sourceforge.net/license.txt)
 */
 
#ifndef ROOT_ROOFIT_TESTSTATISTICS_RooAbsL
#define ROOT_ROOFIT_TESTSTATISTICS_RooAbsL
 
#include "RooArgSet.h"
#include "RooAbsPdf.h"
 
#include "Math/Util.h" // KahanSum
 
#include <cstddef> // std::size_t
#include <string>
#include <memory>
 
// forward declarations
class RooAbsPdf;
class RooAbsData;
 
namespace RooFit {
namespace TestStatistics {
 
class RooAbsL {
public:
   enum class Extended { Auto, Yes, No };
   static bool isExtendedHelper(RooAbsPdf *pdf, Extended extended);
 
   /// Convenience wrapper class used to distinguish between pdf/data owning and non-owning constructors.
   class ClonePdfData {
   public:
      ClonePdfData(RooAbsPdf *inPdf, RooAbsData *inData) : pdf{inPdf}, data{inData} {}
      ClonePdfData(std::unique_ptr<RooAbsPdf> inPdf, RooAbsData *inData)
         : pdf{inPdf.get()}, data{inData}, ownedPdf{std::move(inPdf)}
      {
      }
      RooAbsPdf *pdf = nullptr;
      RooAbsData *data = nullptr;
      std::shared_ptr<RooAbsPdf> ownedPdf;
   };
 
private:
   RooAbsL(std::shared_ptr<RooAbsPdf> pdf, std::shared_ptr<RooAbsData> data, std::size_t N_events,
           std::size_t N_components, Extended extended);
 
public:
   RooAbsL(RooAbsPdf *pdf, RooAbsData *data, std::size_t N_events, std::size_t N_components,
           Extended extended = Extended::Auto);
   RooAbsL(ClonePdfData in, std::size_t N_events, std::size_t N_components, Extended extended = Extended::Auto);
   RooAbsL(const RooAbsL &other);
   virtual ~RooAbsL() = default;
 
   void initClones(RooAbsPdf &inpdf, RooAbsData &indata);
 
   /// A part of some range delimited by two fractional points between 0 and 1 (inclusive).
   struct Section {
      Section(double begin, double end) : begin_fraction(begin), end_fraction(end)
      {
         if ((begin > end) || (begin < 0) || (end > 1)) {
            throw std::domain_error("Invalid input values for section; begin must be >= 0, end <= 1 and begin < end.");
         }
      }
 
      std::size_t begin(std::size_t N_total) const { return static_cast<std::size_t>(N_total * begin_fraction); }
 
      std::size_t end(std::size_t N_total) const
      {
         if (end_fraction == 1) {
            return N_total;
         } else {
            return static_cast<std::size_t>(N_total * end_fraction);
         }
      }
 
      friend bool operator==(const Section &lhs, const Section &rhs)
      {
         return lhs.begin_fraction == rhs.begin_fraction && lhs.end_fraction == rhs.end_fraction;
      }
 
      double begin_fraction;
      double end_fraction;
   };
 
   /*
    * \brief Evaluate (part of) the likelihood over a given range of events and components
    *
    * A fractional event range is used because components may have different numbers of events. For a
    * multi-component RooSumL, for instance, this means the caller need not indicate for each component which event
    * ranges they want to evaluate, but can just pass one overall fractional range.
    *
    * \param[in] events The fractional event range.
    * \param[in] components_begin The first component to be calculated.
    * \param[in] components_end The *exclusive* upper limit to the range of components to be calculated, i.e. the
    * component *before this one* is the last to be included. \return The value of part of the negative log likelihood,
    * returned as a KahanSum object which also includes a carry term.
    */
   virtual ROOT::Math::KahanSum<double>
   evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) = 0;
 
   // necessary from MinuitFcnGrad to reach likelihood properties:
   virtual std::unique_ptr<RooArgSet> getParameters();
 
   virtual std::string GetName() const;
   virtual std::string GetTitle() const;
   virtual std::string GetInfo() const { return GetClassName() + "::" + pdf_->GetName(); }
   virtual std::string GetClassName() const = 0;
 
   // necessary in RooMinimizer (via LikelihoodWrapper)
   inline virtual double defaultErrorLevel() const { return 0.5; }
 
   // necessary in LikelihoodJob
   /// Number of dataset entries. Typically equal to the number of dataset events, except in RooSubsidiaryL, which has
   /// no events.
   virtual std::size_t numDataEntries() const;
   inline std::size_t getNEvents() const { return N_events_; }
   inline std::size_t getNComponents() const { return N_components_; }
   inline bool isExtended() const { return extended_; }
   inline void setSimCount(std::size_t value) { sim_count_ = value; }
 
protected:
   // Note: pdf_ and data_ can be constructed in two ways, one of which implies ownership and the other does not.
   // Inspired by this: https://stackoverflow.com/a/61227865/1199693.
   // The owning variant is used for classes that need a pdf/data clone (RooBinnedL and RooUnbinnedL), whereas the
   // non-owning version is used for when a reference to the external pdf/dataset is good enough (RooSumL).
   // This means that pdf_ and data_ are not meant to actually be shared! If there were a unique_ptr with optional
   // ownership, we would have used that instead.
   std::shared_ptr<RooAbsPdf> pdf_;
   std::shared_ptr<RooAbsData> data_;
   std::unique_ptr<RooArgSet> normSet_; ///< Pointer to set with observables used for normalization
 
   std::size_t N_events_ = 1;
   std::size_t N_components_ = 1;
 
   bool extended_ = false;
 
   std::size_t sim_count_ = 1; // Total number of component p.d.f.s in RooSimultaneous (if any)
};
 
} // namespace TestStatistics
} // namespace RooFit
 
#endif // ROOT_ROOFIT_TESTSTATISTICS_RooAbsL