ROOT Data Analyzer

SkillDev tools

ROOT/CERN data analysis skill for high-energy physics data processing, histogramming, and statistical analysis

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the ROOT Data Analyzer skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/physics/skills/root-data-analyzer/SKILL.md and read by ahel’s review.

Purpose

Provides expert guidance on ROOT data analysis for high-energy physics, including TTree manipulation, histogram fitting, and statistical modeling with RooFit.

Capabilities

TTree/TChain manipulation
Histogram creation and fitting
RooFit statistical modeling
TCanvas visualization
ROOT macro development
PyROOT integration

Usage Guidelines

Data Access: Use TTree and TChain for efficient data access
Histogramming: Create and fill histograms with proper binning
Fitting: Use RooFit for advanced statistical modeling
Visualization: Create publication-quality plots with TCanvas
Python Integration: Use PyROOT for Python-based analysis

Tools/Libraries

ROOT
RooFit
RooStats
uproot

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: root-data-analyzer
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter