class RooStats::HistFactory::Measurement: public TNamed

 standard constructor

 standard constructor specifying name and title of measurement

 set a parameter in the model to be constant
 the parameter does not have to exist yet, the information will be used when
 the model is actually created

 set parameter of the model to given value

 Add a preprocessed function by giving the function a name,
 a functional expression, and a string with a bracketed list of dependencies (eg "SigXsecOverSM[0,3]")

 returns a list of defined proprocess function expressions

 set constraint term for given systematic to Gamma distribution

 set constraint term for given systematic to LogNormal distribution

 set constraint term for given systematic to uniform distribution

 define given systematics to have no external constraint

 is the given channel part of this measurement

 get channel with given name from this measurement
 throws an exception in case the channel is not found

 print information about measurement object in tree-like structure to given stream

 create XML files for this measurement in the given directory
 XML files can be configured with a different output prefix

 A measurement, once fully configured, can be saved into a ROOT
 file. This will persitify the Measurement object, along with any
 channels and samples that have been added to it. It can then be
 loaded, potentially modified, and used to create new models.

 Return the directory's path,
 stripped of unnecessary prefixes

 The most common way to add histograms to channels is to have them
 stored in ROOT files and to give HistFactory the location of these
 files. This means providing the path to the ROOT file and the path
 and name of the histogram within that file. When providing these
 in a script, HistFactory doesn't load the histogram from the file
 right away. Instead, once all such histograms have been supplied,
 one should run this method to open all ROOT files and to copy and
 save all necessary histograms.

  Measurement( const Measurement& other ); // Copy

  set output prefix

 retrieve prefix for output files

 insert PoI at beginning of vector of PoIs

 append parameter to vector of PoIs

 get name of PoI at given index

 get vector of PoI names

 empty vector of constant parameters

 get vector of all constant parameters

 get map: parameter name <--> parameter value

 clear map of parameter values

 add a preprocess function object

 get vector of defined function objects

 get vector of defined Asimov Datasets

 add an Asimov Dataset

 set integrated luminosity used to normalise histograms (if NormalizeByTheory is true for this sample)

 set relative uncertainty on luminosity

 retrieve integrated luminosity

 retrieve relative uncertainty on luminosity

 do not produce any plots or tables, just save the model

 add a completely configured channel