C++ RooDataSet::table方法代码示例

void rf405_realtocatfuncs()
{

  // D e f i n e   p d f   i n   x ,   s a m p l e   d a t a s e t   i n   x 
  // ------------------------------------------------------------------------


  // Define a dummy PDF in x 
  RooRealVar x("x","x",0,10) ;
  RooArgusBG a("a","argus(x)",x,RooConst(10),RooConst(-1)) ;

  // Generate a dummy dataset 
  RooDataSet *data = a.generate(x,10000) ;



  // C r e a t e   a   t h r e s h o l d   r e a l - > c a t   f u n c t i o n
  // --------------------------------------------------------------------------

  // A RooThresholdCategory is a category function that maps regions in a real-valued 
  // input observable observables to state names. At construction time a 'default'
  // state name must be specified to which all values of x are mapped that are not
  // otherwise assigned
  RooThresholdCategory xRegion("xRegion","region of x",x,"Background") ;

  // Specify thresholds and state assignments one-by-one. 
  // Each statement specifies that all values _below_ the given value 
  // (and above any lower specified threshold) are mapped to the
  // category state with the given name
  //
  // Background | SideBand | Signal | SideBand | Background
  //           4.23       5.23     8.23       9.23 
  xRegion.addThreshold(4.23,"Background") ;
  xRegion.addThreshold(5.23,"SideBand") ;
  xRegion.addThreshold(8.23,"Signal") ;
  xRegion.addThreshold(9.23,"SideBand") ; 



  // U s e   t h r e s h o l d   f u n c t i o n   t o   p l o t   d a t a   r e g i o n s
  // -------------------------------------------------------------------------------------

  // Add values of threshold function to dataset so that it can be used as observable
  data->addColumn(xRegion) ;

  // Make plot of data in x
  RooPlot* xframe = x.frame(Title("Demo of threshold and binning mapping functions")) ;
  data->plotOn(xframe) ;

  // Use calculated category to select sideband data
  data->plotOn(xframe,Cut("xRegion==xRegion::SideBand"),MarkerColor(kRed),LineColor(kRed)) ;



  // C r e a t e   a   b i n n i n g    r e a l - > c a t   f u n c t i o n
  // ----------------------------------------------------------------------

  // A RooBinningCategory is a category function that maps bins of a (named) binning definition 
  // in a real-valued input observable observables to state names. The state names are automatically
  // constructed from the variable name, the binning name and the bin number. If no binning name
  // is specified the default binning is mapped

  x.setBins(10,"coarse") ;
  RooBinningCategory xBins("xBins","coarse bins in x",x,"coarse") ;



  // U s e   b i n n i n g   f u n c t i o n   f o r   t a b u l a t i o n   a n d   p l o t t i n g
  // -----------------------------------------------------------------------------------------------

  // Print table of xBins state multiplicity. Note that xBins does not need to be an observable in data
  // it can be a function of observables in data as well
  Roo1DTable* xbtable = data->table(xBins) ;
  xbtable->Print("v") ;

  // Add values of xBins function to dataset so that it can be used as observable
  RooCategory* xb = (RooCategory*) data->addColumn(xBins) ;

  // Define range "alt" as including bins 1,3,5,7,9 
  xb->setRange("alt","x_coarse_bin1,x_coarse_bin3,x_coarse_bin5,x_coarse_bin7,x_coarse_bin9") ;
  
  // Construct subset of data matching range "alt" but only for the first 5000 events and plot it on the frame
  RooDataSet* dataSel = (RooDataSet*) data->reduce(CutRange("alt"),EventRange(0,5000)) ;
  dataSel->plotOn(xframe,MarkerColor(kGreen),LineColor(kGreen)) ;



  new TCanvas("rf405_realtocatfuncs","rf405_realtocatfuncs",600,600) ;
  xframe->SetMinimum(0.01) ;
  gPad->SetLeftMargin(0.15) ; xframe->GetYaxis()->SetTitleOffset(1.4) ; xframe->Draw() ;


}