Tutorial

supy is a package to analyze data that is stored in TTree. supy is written in python (using the PyROOT module) and it was originally developed for this SUSY search. supy is designed to be modular and flexible.

With supy, the data analysis is subdivided into small steps, so that one can understand well each single step (by keeping it simple), and at the same time one can understand the overall workflow.

The quantities that one can study do not depend on the formatting of the input trees; new quantities can also be computed at runtime, and made available to the subsequent steps. This makes supy very flexible, so that it can be used in several different contexts.

• • Intro
    • github
    • wrappedChain
    • autobook
    • Samples
  • Calculables
    • stash
    • Calling cpp code
    • Loading dictionaries
    • Secondary
    • The fromCollection() trick
  • Analysis steps
    • select
    • uponAcceptance
    • conclude step
    • The vary() trick
  • Multiprocessing and batch