iminuit Statistical Fitter

SkillDev tools

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

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the iminuit Statistical Fitter skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/physics/skills/iminuit-statistical-fitter/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: iminuit-statistical-fitter
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter