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 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
  • Creating a PDF from a formula
  • Defining complex PDFs
  • New PDFs with a variable number of arguments
  • Building a PDF proxy from a data set
• Blinded analyses
  • Blinding based on an offset
  • Blinding based on a scale