Speaker
Description
Open Data Detector (ODD) is a detector for algorithm research and development. The tracking system is an evolution of the detector used in the successful Tracking Machine Learning Challenge. It offers a more realistic design, with a support structure, cables, and cooling pipes. The ODD got extended with granular calorimetry and can be completed in future with a muon system. The magnetic field in the detector can be created with a solenoid located either in front or behind the calorimeters, providing two alternative options for detector studies.
Implementation in DD4hep allows to perform ACTS based simulation (Fatras) of tracking detector, and Geant4 simulation of the full detector using key4HEP software. The goal of the ODD is to create a benchmark detector with public simulation data released and available for algorithm studies. Such data can be used for all the ongoing activities in the areas such as fast simulation or reconstruction.
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