end-of-line normalization

[u/mrichter/AliRoot.git] / PWGCF / EBYE / LRC / Test / TestPtPt.C

diff --git a/PWGCF/EBYE/LRC/Test/TestPtPt.C b/PWGCF/EBYE/LRC/Test/TestPtPt.C
index fef6ac4f61a6cbe8d8b9c49d72476fb8d30f79e6..424ea62e489ff2c690b00b25e741690aa5134108 100755 (executable)
--- a/PWGCF/EBYE/LRC/Test/TestPtPt.C
+++ b/PWGCF/EBYE/LRC/Test/TestPtPt.C
@@ -1,47 +1,47 @@
-{\r
-    gSystem->Load("libPWG2LRC.so");\r
-Int_t errybins = 20000;\r
-       Double_t errymin = 0.000025,\r
-                 errymax = 1.000025;\r
-\r
-       TH1D *gaus = new TH1D("source","source hist",1000,-5,5);\r
-    gaus->FillRandom("gaus",10000);\r
-    TH2D *source = new TH2D("PtN","PtN Test",100,0,5,100,0,5);\r
-    TH2D *err = new TH2D("err","errl hist",100,0,5,errybins,errymin,errymax);\r
-       Double_t x, y;\r
-    for (Int_t i=0;i<10000;i++) \r
-       {   \r
-           x =(gaus->GetRandom()+5)/2.0;\r
-           y = 0.678 * (x + gaus->GetRandom());\r
-           //Create source 2D histogram with correlation coefficient 0.678\r
-               source->Fill(x,y);\r
-               err->Fill(x,1/((gaus->GetRandom()+5)));\r
-    }\r
-    //Create TNN class encapsulated NN correlation algorithms\r
-    //2D histogram pass into TNN constructor\r
-       AliLRCPtPt final1("name", source, 0.35, err);\r
-\r
-   TCanvas *c1 = new TCanvas("c1","c1",800,1000);\r
-       c1->Divide(3);\r
-       c1->cd(1);\r
-       source->Draw();\r
-       c1->cd(2);\r
-       final1.Draw_abs();\r
-       c1->cd(3);\r
-       final1.Draw_rel();\r
-       c1->cd();\r
-\r
-       AliLRCPtPt final2;\r
-        final2.MakeHistogramm("name", source, 0.35, err);\r
-\r
-   TCanvas *c2 = new TCanvas("c2","c2",800,1000);\r
-       c2->Divide(3);\r
-       c2->cd(1);\r
-       source->Draw();\r
-       c2->cd(2);\r
-       final2.Draw_abs();\r
-       c2->cd(3);\r
-       final2.Draw_rel();\r
-       c2->cd();\r
-\r
+{
+    gSystem->Load("libPWG2LRC.so");
+Int_t errybins = 20000;
+       Double_t errymin = 0.000025,
+                 errymax = 1.000025;
+
+       TH1D *gaus = new TH1D("source","source hist",1000,-5,5);
+    gaus->FillRandom("gaus",10000);
+    TH2D *source = new TH2D("PtN","PtN Test",100,0,5,100,0,5);
+    TH2D *err = new TH2D("err","errl hist",100,0,5,errybins,errymin,errymax);
+       Double_t x, y;
+    for (Int_t i=0;i<10000;i++) 
+       {   
+           x =(gaus->GetRandom()+5)/2.0;
+           y = 0.678 * (x + gaus->GetRandom());
+           //Create source 2D histogram with correlation coefficient 0.678
+               source->Fill(x,y);
+               err->Fill(x,1/((gaus->GetRandom()+5)));
+    }
+    //Create TNN class encapsulated NN correlation algorithms
+    //2D histogram pass into TNN constructor
+       AliLRCPtPt final1("name", source, 0.35, err);
+
+   TCanvas *c1 = new TCanvas("c1","c1",800,1000);
+       c1->Divide(3);
+       c1->cd(1);
+       source->Draw();
+       c1->cd(2);
+       final1.Draw_abs();
+       c1->cd(3);
+       final1.Draw_rel();
+       c1->cd();
+
+       AliLRCPtPt final2;
+        final2.MakeHistogramm("name", source, 0.35, err);
+
+   TCanvas *c2 = new TCanvas("c2","c2",800,1000);
+       c2->Divide(3);
+       c2->cd(1);
+       source->Draw();
+       c2->cd(2);
+       final2.Draw_abs();
+       c2->cd(3);
+       final2.Draw_rel();
+       c2->cd();
+
 }
\ No newline at end of file