Measurement.h File Reference

#include <TNamed.h>
#include <fstream>
#include <iostream>
#include <map>
#include <memory>
#include <string>
#include <vector>

Include dependency graph for Measurement.h:

This graph shows which files directly or indirectly include this file:

Classes
class	RooStats::HistFactory::Asimov
	TODO Here, we are missing some documentation. More...
class	RooStats::HistFactory::Channel
	This class encapsulates all information for the statistical interpretation of one experiment. More...
class	RooStats::HistFactory::Data
class	RooStats::HistFactory::HistoFactor
	Configuration for an *un*constrained, coherent shape variation of affected samples. More...
class	RooStats::HistFactory::HistogramUncertaintyBase
	////////////////////////////////////////////////////////////////////////////////////////////Base class to store the up and down variations for histogram uncertainties. More...
class	RooStats::HistFactory::HistoSys
	Configuration for a constrained, coherent shape variation of affected samples. More...
class	RooStats::HistFactory::HistRef
	Internal class wrapping an histogram and managing its content. More...
class	RooStats::HistFactory::Measurement
	The RooStats::HistFactory::Measurement class can be used to construct a model by combining multiple RooStats::HistFactory::Channel objects. More...
class	RooStats::HistFactory::NormFactor
	Configuration for an un- constrained overall systematic to scale sample normalisations. More...
class	RooStats::HistFactory::OverallSys
	Configuration for a constrained overall systematic to scale sample normalisations. More...
class	RooStats::HistFactory::PreprocessFunction
class	RooStats::HistFactory::Sample
class	RooStats::HistFactory::ShapeFactor
	*Un*constrained bin-by-bin variation of affected histogram. More...
class	RooStats::HistFactory::ShapeSys
	Constrained bin-by-bin variation of affected histogram. More...
class	RooStats::HistFactory::StatError
	Statistical error of Monte Carlo predictions. More...
class	RooStats::HistFactory::StatErrorConfig
	Configuration to automatically assign nuisance parameters for the statistical error of the Monte Carlo simulations. More...

Namespaces
namespace	RooStats
	Namespace for the RooStats classes.
namespace	RooStats::HistFactory
namespace	RooStats::HistFactory::Constraint

Enumerations
enum	RooStats::HistFactory::Constraint::Type { RooStats::HistFactory::Constraint::Gaussian , RooStats::HistFactory::Constraint::Poisson }

Functions
Type	RooStats::HistFactory::Constraint::GetType (const std::string &Name)
std::string	RooStats::HistFactory::Constraint::Name (Type type)

Variables
Channel	RooStats::HistFactory::BadChannel