26   TFile f(
"ht.root",
"recreate");
 
   27   auto T     = 
new TTree(
"T",
"test");
 
   28   auto hpx   = 
new TH1F(
"hpx",
"This is the px distribution",100,-4,4);
 
   29   auto hpxpy = 
new TH2F(
"hpxpy",
"py vs px",40,-4,4,40,-4,4);
 
   30   auto hprof  = 
new TProfile(
"hprof",
"Profile of pz versus px",100,-4,4,0,20);
 
   31   T->Branch(
"hpx",
"TH1F",&
hpx,32000,0);
 
   32   T->Branch(
"hpxpy",
"TH2F",&
hpxpy,32000,0);
 
   33   T->Branch(
"hprof",
"TProfile",&
hprof,32000,0);
 
   35   for (
Int_t i = 0; i < 25000; i++) {
 
   36      if (i%1000 == 0) 
printf(
"at entry: %d\n",i);
 
   51   auto f = 
new TFile(
"ht.root");
 
   52   auto T = (
TTree*)
f->Get(
"T");
 
   56   T->SetBranchAddress(
"hpx",&
hpx);
 
   57   T->SetBranchAddress(
"hpxpy",&
hpxpy);
 
   58   T->SetBranchAddress(
"hprof",&
hprof);
 
   60   auto c1 = 
new TCanvas(
"c1",
"test",10,10,600,1000);
 
   68   c1->Print(
"htr1.png");
 
   74   auto f = 
new TFile(
"ht.root");
 
   75   auto T = (
TTree*)
f->Get(
"T");
 
   76   auto c1 = 
new TCanvas(
"c1",
"test",10,10,600,1000);
 
   79   T->Draw(
"hpx.Draw()",
"",
"goff",1,12345);
 
   81   T->Draw(
"hpxpy.Draw()",
"",
"goff",1,12345);
 
   83   T->Draw(
"hprof.Draw()",
"",
"goff",1,12345);
 
   84   c1->Print(
"htr2.png");
 
   91   auto f = 
new TFile(
"ht.root");
 
   92   auto T = (
TTree*)
f->Get(
"T");
 
   93   auto c1 = 
new TCanvas(
"c1",
"test",10,10,600,400);
 
   94   T->Draw(
"hpx.GetRMS():hprof.GetMean()");
 
   95   c1->Print(
"htr3.png");
 
R__EXTERN TBenchmark * gBenchmark
 
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
 
R__EXTERN TRandom * gRandom
 
virtual void Start(const char *name)
Starts Benchmark with the specified name.
 
virtual void Show(const char *name)
Stops Benchmark name and Prints results.
 
A ROOT file is an on-disk file, usually with extension .root, that stores objects in a file-system-li...
 
1-D histogram with a float per channel (see TH1 documentation)
 
2-D histogram with a float per channel (see TH1 documentation)
 
virtual void Rannor(Float_t &a, Float_t &b)
Return 2 numbers distributed following a gaussian with mean=0 and sigma=1.
 
A TTree represents a columnar dataset.