User guide

This guide constitutes an introductory overview to MinKit, explaining the most common and important features of the package. Through different examples the most relevant features of MinKit will be discussed. For a detailed description of the different functions and classes of the package, visit MinKit reference.

• Creating data sets
  • Unbinned data sets
  • Binned data sets
• Basic example
  • Creating a data set
  • Creating a PDF
  • Generating data
  • Plotting the results
  • Running a simple fit
• Minimization with MinKit
• Uncertainties
• Determining the stability of the fits
  • Scanning the FCN
  • Evaluating residuals and pulls
• Working in more than one dimension
  • Unbinned case
  • Binned case
• Adding custom PDFs
  • Basic example
  • New PDFs with a variable number of arguments