Unveiling the morphologies of the faint radio source population through unsupervised machine learning

This interactive website is developed by Rafaël Mostert as part of his master and ongoing PhD
under supervision of Prof.dr. H.J.A. Röttgering and Dr. K.J. Duncan at Leiden University.

The Self-Organizing Map is trained using the PINK software.
The radio data, 120-168Mhz, is taken from the LOFAR Two-metre Sky Survey (LoTSS wide area).
The optical data, is taken from the Pan-STARRS survey.