This tutorial shows how VecOps can be used to slim down the programming model typically adopted in HEP for analysis. In this case we have a dataset containing the kinematic properties of particles stored in individual arrays. We want to plot the transverse momentum of these particles if the energy is greater than 100 MeV.
auto filename =
gROOT->GetTutorialDir() +
"/dataframe/df017_vecOpsHEP.root";
auto treename = "myDataset";
void WithTTreeReader()
{
TH1F h(
"pt",
"pt", 16, 0, 4);
while (tr.Next()) {
for (auto i=0U;i < px.GetSize(); ++i) {
if (E[i] > 100)
h.Fill(sqrt(px[i]*px[i] + py[i]*py[i]));
}
}
}
void WithRDataFrame()
{
for (
auto i=0U;i < px.
size(); ++i) {
if (E[i] > 100) {
}
}
};
f.Define(
"pt", CalcPt, {
"px",
"py",
"E"})
.Histo1D<RVecD>({"pt", "pt", 16, 0, 4}, "pt")->DrawCopy();
}
void WithRDataFrameVecOps()
{
auto pt =
sqrt(px*px + py*py);
};
f.Define(
"good_pt", CalcPt, {
"px",
"py",
"E"})
.Histo1D<RVecD>({"pt", "pt", 16, 0, 4}, "good_pt")->DrawCopy();
}
void WithRDataFrameVecOpsJit()
{
f.Define(
"good_pt",
"sqrt(px*px + py*py)[E>100]")
.Histo1D({"pt", "pt", 16, 0, 4}, "good_pt")->DrawCopy();
}
{
WithTTreeReader();
WithRDataFrame();
WithRDataFrameVecOps();
WithRDataFrameVecOpsJit();
}
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t winding char text const char depth char const char Int_t count const char ColorStruct_t color const char filename
reference emplace_back(ArgTypes &&...Args)
ROOT's RDataFrame offers a modern, high-level interface for analysis of data stored in TTree ,...
A ROOT file is a suite of consecutive data records (TKey instances) with a well defined format.
1-D histogram with a float per channel (see TH1 documentation)}
An interface for reading collections stored in ROOT columnar datasets.
A simple, robust and fast interface to read values from ROOT columnar datasets such as TTree,...
VecExpr< UnaryOp< Sqrt< T >, VecExpr< A, T, D >, T >, T, D > sqrt(const VecExpr< A, T, D > &rhs)
This file contains a specialised ROOT message handler to test for diagnostic in unit tests.
constexpr Double_t E()
Base of natural log: .