kafe2 documentation

Welcome to kafe2, the Karlsruhe Fit Environment 2!

kafe2 is a data fitting framework designed for use in undergraduate physics lab courses. It provides a basic Python toolkit for fitting models to data as well as visualizing the data and the model function. It relies on Python packages such as numpy and matplotlib, and can use the Python interface to the minimizer Minuit contained in the data analysis framework ROOT or in the Python package iminuit.

• Installing kafe2
  • Requirements
  • Installation notes (Linux)
  • Installation notes (Windows)
• Beginners Guide
  • Basic Fitting Procedure
  • Example 1: Line Fit
  • Example 2: Model Functions
  • Example 3: Parameter Constraints
  • Example 4: Non-Linear Fits
  • Example 5: Histogram Fit
  • Example 6: Unbinned Fit
• User Guide
  • Datasets
  • Fitting
  • Plotting
  • Contours Profiler
• kafe2go Guide
  • Setting a fit type
  • Specifying the data
  • Setting a model function
  • Parameter Constraints
  • Fixing and limiting parameters
• Theoretical Foundation
  • Measurements and theoretical models
  • Parameter estimation
• Developer Guide
  • Tools
  • Coding Style
• API documentation
  • kafe2 in a nutshell
  • Parameter estimation tools: fit