class AliTRDcheckDET: public AliTRDrecoTask

 Default constructor

 Default constructor

 Destructor

 Create Output Objects

 Execution function
 Filling TRD quality histos

 Do Postprocessing (for the moment set the number of Reference histograms)

 Create summary plots for TRD check DET
 This function creates 2 summary plots:
 - General Quantities
 - PHS
 The function will reuse GetRefFigure

 Setting Reference Figures

 Create QA histograms

 Project histogram to a given centrality Bin

 Plot the track propagation status. The following errors are defined (see AliTRDtrackV1::ETRDtrackError)
   PROL - track prolongation failure
   PROP - track propagation failure
   AJST - crossing sectors failure
   SNP  - too large bending
   TINI - tracklet initialization failure
   UPDT - track position/covariance update failure

 Performance plot looks as below:

 Plot the tracklet propagation status. The following errors are defined for tracklet (see AliTRDtrackV1::ETRDlayerError)
   Geom   -
   Bound  - tracklet too close to chamber walls
   NoCl   - no clusters in the track roads
   NoAttach - fail to attach clusters
   NoClTr - fail to use clusters for fit
   NoFit  - tracklet fit failled
   Chi2   - chi2 tracklet-track over threshold

 Performance plot looks as below:

 Plot the mean number of clusters per tracklet

 Plot the number of clusters in one track

 Plot the number of tracklets

 Plot the number of tracklets

 Plots the ratio of number of tracklets vs.
 number of findable tracklets

 Findable tracklets are defined as track prolongation
 to layer i does not hit the dead area +- epsilon

 In order to check whether tracklet hist active area in Layer i,
 the track is refitted and the fitted position + an uncertainty
 range is compared to the chamber border (also with a different
 uncertainty)

 For the track fit two cases are distinguished:
 If the track is a stand alone track (defined by the status bit
 encoding, then the track is fitted with the tilted Rieman model
 Otherwise the track is fitted with the Kalman fitter in two steps:
 Since the track parameters are give at the outer point, we first
 fit in direction inwards. Afterwards we fit again in direction outwards
 to extrapolate the track to layers which are not reached by the track
 For the Kalman model, the radial track points have to be shifted by
 a distance epsilon in the direction that we want to fit

 Plot the chi2 of the track

 Plot the average pulse height

 Plots the average pulse height vs the distance from the anode wire
 (plus const anode wire offset)

 Plot the cluster charge

 Plot the charge deposit per chamber

 Plot the number of tracks per Sector

 Get phi and eta at a given radial position

 Plot chi2/track normalized to number of degree of freedom
 (tracklets) and compare with the theoretical distribution.

 Alex Bercuci <A.Bercuci@gsi.de>

 Make nice bar plot of the number of tracklets in each method

 Plot number of clusters
 Put histos from all centrality classes into one pad

 Plot number of clusters for different centrality classes

 Draw tracklet charge for different centrality classes

 Plot abundance of tracks with number of tracklets as function of momentum

 Create Plot of the Pluse Height Spectrum

 Create Summary plot for the mean number of clusters per layer

 Draw nice bar plots