The procedures to inject synthetic planet signals, count detected point sources and generate ROC curves are included in the open source Vortex Image Processing package for the sake of transparency. Other code related to the data challenge is available at the Data Challenge Extras repository. Here we also share a Python script illustrating how to create the outputs to be submitted for participating in the data challenge.

The extras repository also contains a data challenge starting kit, in the form of a Jupyter notebook DC1_starting_kit.ipynb, which explains in detail the source counting procedure on detection maps (to get the true and false positives). The starting kit can also be executed on the cloud thanks to Binder. This implementation can be used as a reference for future studies on image processing algorithms for direct imaging of exoplanets.