ROOT Tutorial

Once a year, at Nevis, I give an all-day hands-on tutorial on ROOT to the REU students (and anyone else at Nevis who's interested). I assume that these students have little or no experience with ROOT, UNIX, Python, C++, histograms, or statistics. The goal is to enable them to make histograms from ntuples that other people create for them.

You can use the tutorial if you're not at Nevis. The tutorial contains instructions for downloading files to your computer.

The 2025 class (28-May-2025)

Here's the hands-on ROOT tutorial for 2025:

Here are the PDF files of slides I prepared for the 2025 lectures, most of which are based on the appendices within the tutorial. This year I gave lectures on two of the topics in the appendices:

The major additions from last year:

The 2024 class (29-May-2024)

Here's the hands-on ROOT tutorial for 2024:

Here are the PDF files of slides I displayed during lectures on the following topics:

Only minor changes from last year: There's new material on using TTreeReader in the C++ section, and a new appendix on ROOT dictionaries.

The 2023 class (31-May-2023)

Here's the hands-on ROOT tutorial for 2023:

Here are the PDF files of slides I displayed during lectures on the following topics:

The most obvious change from last year is a new path that focusses on RDataFrame. I've also improved the instructions on installing ROOT on your own computer.

Archives

All of the previous editions of the ROOT tutorial and related presentations are in the archives.


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