iminuit-statistical-fitter

name	iminuit-statistical-fitter
description	iminuit statistical fitting skill for physics data analysis with proper error handling and profile likelihood
allowed-tools	["Bash","Read","Write","Edit","Glob","Grep"]
metadata	{"specialization":"physics","domain":"science","category":"data-analysis","phase":6}
graph	{"domains":["domain:physics"],"skillAreas":["skill-area:statistical-analysis","skill-area:mathematical-reasoning","skill-area:data-analysis"],"workflows":["workflow:experiment-design","workflow:peer-review-cycle"],"roles":["role:research-scientist","role:computational-scientist"]}

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