root-data-analyzer

name	root-data-analyzer
description	ROOT/CERN data analysis skill for high-energy physics data processing, histogramming, and statistical analysis
allowed-tools	["Bash","Read","Write","Edit","Glob","Grep"]
metadata	{"specialization":"physics","domain":"science","category":"particle-physics","phase":6}

ROOT Data Analyzer

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

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

Tools/Libraries

• ROOT
• RooFit
• RooStats
• uproot