scikit-hep-analysis

Solid

Scikit-HEP toolkit skill for particle physics data analysis with modern Python tools

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 93/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
35
Issue Health 10%
50
License 10%
100
Description 5%
100

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

Related Skills