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claude-codescience

Babysitter root-data-analyzer

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

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/physics/skills/root-data-analyzer" ~/.claude/skills/a5c-ai-babysitter-root-data-analyzer && rm -rf "$T"
manifest: library/specializations/domains/science/physics/skills/root-data-analyzer/SKILL.md
tags
#root-analysis#physics-data#histogramming#rooft-fit#particle-physics#statistical-modeling
source content

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