Store unbinned LTM Z sigma in the voxel info for random data detection

sevdokim · May 15, 2016 · 680b005 · 680b005
1 parent 11c732d
commit 680b005
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diff --git a/TPC/TPCcalib/AliTPCDcalibRes.cxx b/TPC/TPCcalib/AliTPCDcalibRes.cxx
@@ -1257,6 +1257,7 @@ void AliTPCDcalibRes::ProcessVoxelResiduals(int np, float* tg, float *dy, float
   voxRes.E[kResZ] = zres[4];
   voxRes.EXYCorr  = corrErr;
   voxRes.dYSigMAD = sigMAD;
+  voxRes.dZSigLTM = zres[2];
   //
   // store the statistics
   ULong64_t binStat = GetBin2Fill(voxRes.bvox,kVoxV);

diff --git a/TPC/TPCcalib/AliTPCDcalibRes.h b/TPC/TPCcalib/AliTPCDcalibRes.h
@@ -83,6 +83,7 @@ class AliTPCDcalibRes: public TNamed
     Float_t DC[kResDim];     // Cheb parameterized residual
     Float_t EXYCorr;         // correlation between extracted X and Y
     Float_t dYSigMAD;        // MAD estimator of dY sigma (dispersion after slope removal)
+    Float_t dZSigLTM;        // Z sigma from unbinned LTM estimator
     Float_t stat[kVoxHDim];  // statistics: averages of each voxel dimension + entries
     UChar_t bvox[kVoxDim];   // voxel identifier, here the bvox[0] shows number of Q bins used for Y
     UChar_t bsec;            // sector ID (0-35)