root-data-analyzer
// ROOT/CERN data analysis skill for high-energy physics data processing, histogramming, and statistical analysis
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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameroot-data-analyzer
descriptionROOT/CERN data analysis skill for high-energy physics data processing, histogramming, and statistical analysis
allowed-toolsBash,Read,Write,Edit,Glob,Grep
metadata[object Object]
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
- 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