root-data-analyzer

Solid

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

AI & Automation 1,160 stars 71 forks Updated today MIT

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Quality Score: 94/100

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100
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100
Frontmatter 20%
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Description 5%
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Skill 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

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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