iminuit-statistical-fitter
// iminuit statistical fitting skill for physics data analysis with proper error handling and profile likelihood
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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameiminuit-statistical-fitter
descriptioniminuit statistical fitting skill for physics data analysis with proper error handling and profile likelihood
allowed-toolsBash,Read,Write,Edit,Glob,Grep
metadata[object Object]
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
- Model Definition: Define cost function for minimization
- Minimization: Run MIGRAD for parameter estimation
- Error Analysis: Use HESSE and MINOS for uncertainties
- Profile Likelihood: Compute profile likelihood for parameters
- Simultaneous Fits: Combine multiple datasets in fits
Tools/Libraries
- iminuit
- probfit
- zfit