// Set maximum energy loss to consider
task->GetEnergyFitter().SetMaxE(15);
// Set number of energy loss bins
- task->GetEnergyFitter().SetNEbins(200);
+ task->GetEnergyFitter().SetNEbins(500);
// Set whether to use increasing bin sizes
task->GetEnergyFitter().SetUseIncreasingBins(true);
// Set whether to do fit the energy distributions
// Least weight to use
AliFMDCorrELossFit::ELossFit::fgLeastWeight = 1e-5;
// Maximum value of reduced chi^2
- AliFMDCorrELossFit::ELossFit::fgMaxChi2nu = 10;
+ AliFMDCorrELossFit::ELossFit::fgMaxChi2nu = 20;
// --- Make the output container and connect it --------------------
TString outputfile = ;
#include <TImage.h>
#include <TRandom.h>
#include <fstream>
-#define SYSERR_COLOR
-#define SYSERR_STYLE
+#define SYSERR_COLOR kBlue-10
+#define SYSERR_STYLE 1001
Double_t myFunc(Double_t* xp, Double_t* pp);
// Set the maximum number of particle to try to reconstruct
task->GetDensityCalculator().SetMaxParticles(10);
// Wet whether to use poisson statistics to estimate N_ch
- task->GetDensityCalculator().SetUsePoisson(false);
+ task->GetDensityCalculator().SetUsePoisson(true);
// Set the lower multiplicity cut. Overrides setting in energy loss fits.
task->GetDensityCalculator().SetMultCut(.3); //was 0.3
// Set the lower per-ring multiplicity cuts
// Run the train
t.Start();
- Printf("=== RUNNING ANALYSIS on %9 events ========================",nEvents);
+ Printf("=== RUNNING ANALYSIS on %9d events ========================",nEvents);
mgr->StartAnalysis(proof > 0 ? "proof" : "local", chain, nEvents);
t.Stop();
t.Print();