ROOT-A-TRON 3000

Graphical interface for data analysis using ROOT

ROOT-A-TRON 3000

Make a Plot Analyze Data
Tutorials

How it works:

  1. Add your measurements - choose XY, histogram or multivariate data, then paste or type your values and uncertainties.
  2. Choose a model from the library or write your own equation.
  3. Set starting values (adjust the curve until it follows your data, or ask an AI for them), then press Fit.

    Tip: Stuck? Give your data and your model’s equation to an AI model, ask it for starting values, and enter them manually. If you just need the fit rather than practice choosing values, this is the recommended shortcut.

  4. Read your results: parameters with uncertainties, χ²/NDF, p-value and residuals. Export the plot, or take the parameters into Analyze Data to calculate further quantities.
Single-photon two-slit interference fit with pulls Gaussian peak preset fitted in the plotting tool
Transverse Beam Profile — Gaussian surface fitted to measured counts Transverse Beam Profile
Exponential decay preset fitted in the plotting tool

Fun fact: the plots that announced the Higgs boson were made with ROOT. Learn more about it here

New here? Read the documentation ·

What is ROOT?

ROOT is CERN’s open-source C++ framework for scientific data analysis, with Python bindings. It provides histograms, function fitting, statistical modelling, and storage and processing of large datasets.

This tool uses ROOT for χ² and binned Poisson-likelihood fits, parameter uncertainties, and fit diagnostics. JSROOT displays the resulting graphs in the browser.

Try ROOT for yourself! ROOT manual