of Astrophysical Objects
AutoSourceID is a framework for quickly locating and identifying sources in
AutoSourceID currently works for
gamma rays and optical images and consists of a chain of
neural networks and other tools to rapidly
create a catalogue of sources from an image including uncertainties.
The algorithm can be split into the following steps: mask generation, source localization, and finally feature extraction and classification.
Fiorenzo Stoppa, Paul Vreeswijk, Steven Bloemen, Saptashwa Bhattacharyya, Sascha Caron, Guðlaugur Jóhannesson, Roberto Ruiz de Austri, Chris van den Oetelaar, Gabrijela Zaharijas, Paul. J. Groot, Eric Cator, Gijs Nelemans, Boris Panes, Christopher Eckner, Luc Hendriks, Klaas Dijkstra
Please let us know if you like to join / contribute.
AutoSourceID's gamma ray datasets can be found at this Github link
AutoSourceID-Light's datasets can be found at this Zenodo link