scikit-hep-analysis
SolidScikit-HEP toolkit skill for particle physics data analysis with modern Python tools
AI & Automation 1,160 stars
71 forks Updated today MIT
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Skill Content
# Scikit-HEP Analysis
## Purpose
Provides expert guidance on the Scikit-HEP ecosystem for particle physics data analysis with modern Python tools.
## Capabilities
- Awkward array manipulation
- uproot ROOT file I/O
- Histogram operations (hist, boost-histogram)
- Particle data access
- Vector operations
- pyhf statistical modeling
## Usage Guidelines
1. **Data I/O**: Read ROOT files with uproot
2. **Arrays**: Manipulate jagged data with Awkward
3. **Histogramming**: Create and manipulate histograms with hist
4. **Statistics**: Use pyhf for statistical modeling
5. **Analysis**: Build complete analysis workflows
## Tools/Libraries
- scikit-hep
- awkward
- uproot
- hist
- pyhf
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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