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ROOT User's Guide: 6 Release Cycle. ROOT User's Guide in HTML format. Complete User's Guide; Chapters: Introduction · Getting Started · Histograms · Graphs · Fitting Histograms · A Little C++ · Cling · Object Ownership · Graphics · Folders and Tasks · Input/Output · Trees · Math Libraries · Linear Algebra · Adding a Class
Abstract. ROOT is a software framework for data analysis and I/O: a powerful tool to cope with the demanding tasks typical of state of the art scientific data analysis. Among its prominent features are an advanced graphical user interface, ideal for interactive analysis, an interpreter for the C++ programming language, for rapid
In addition, adding a branch to a tree enlarges the tree and increases the amount of memory needed to read an entry, and therefore decreases the performance. For these reasons, ROOT offers the concept of friends for trees (and chains). We encourage you to use TTree::AddFriend rather than adding a branch manually.
Reference Guide, head / 6.08 · all releases. User's Guide, 6 Series (html) · all formats and series. ROOT Primer - Notebook Version (beta), html pdf GitHub / SWAN (link is external), *. ROOT Primer, 6 Series (html) · all formats and series. ROOT Primer 5, 5 Series (pdf)
Read a TTree via the Draw method. Use this function if you want to quickly histogram a few variables with a very simple selection mechanism. The loop on the Tree is automatically done by ROOT. The signature of the TTree::Draw method is: void Draw(const char *varexp, const char *selection, Option_t *option,Int_t nevents,
Logo, ROOT 6.10/09. Reference Guide . Read data from an ascii file and create a root file with an histogram and an ntuple. file, basic2.C · View in nbviewer Open in SWAN in nbviewer Open in SWAN Create a plot of the data in cernstaff.root To create cernstaff.root , execute tutorial $ROOTSYS/tutorials/tree/cernbuild.C.
Reading & Storing Data in Root. • Data can be read from files/database/network. • Data is generally stored as a TTree/TNtuple ( similar to a table with rows and columns ). • Each row represents an event. • Each column represents a quantity. • Trees can be created from ASCII files.
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