iminuit-statistical-fitter

Solid

iminuit statistical fitting skill for physics data analysis with proper error handling and profile likelihood

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# iminuit Statistical Fitter ## Purpose Provides expert guidance on iminuit for statistical fitting in physics, including proper error estimation and profile likelihood calculations. ## Capabilities - MINUIT minimization algorithms - HESSE error matrix calculation - MINOS asymmetric error estimation - Profile likelihood computation - Constrained fitting - Simultaneous fit orchestration ## Usage Guidelines 1. **Model Definition**: Define cost function for minimization 2. **Minimization**: Run MIGRAD for parameter estimation 3. **Error Analysis**: Use HESSE and MINOS for uncertainties 4. **Profile Likelihood**: Compute profile likelihood for parameters 5. **Simultaneous Fits**: Combine multiple datasets in fits ## Tools/Libraries - iminuit - probfit - zfit

Details

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

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