This repository hosts tutorials for using the Gaudi software as part of the larger key4hep ecosystem.

It contains hands-on exercises to get familiar with Gaudi steering files and algorithms. To experiment with the tutorial, you can follow this presentation at the 4th DRD-Calo Collaboration Meeting, which covers the EventStats, RandomNoiseDigitizer, and MoliereRadius exercises.

This README contains a short description for each of the hosted exercises. The exercises run on data that has been created with with the simplecalo calorimeter from the DD4hepTutorials exercises. An example data file will be downloaded automatically when compiling the repository.

The goal of this exercise is to become familiar with the Gaudi steering file. For this purpose, an EventStats algorithm is provided, which saves the energy barycentre and total energy for each event using the podio::UserDataCollection.

You should adapt the steering file runEventStats.py in the `EventStats/options' folder such that this algorithm is executed on the data. A solution file is provided.

The goal of this exercise is to complete a simple digitising algorithm from a skeleton file.

The goal of this exercise is to complete a Gaudi algorithm to compute a physics value from the data, and to revise adding algorithms to the steering file. Solution files are provided.