Artificial intelligence is incorporated into the classification of stars, quasars and galaxies through the J-PLUS project.
An algorithm developed by researcher Andrés del Pino now applies Bayesian neural networks to data from the J-PLUS project. The aim is to robustly classify the astronomical objects detected by the survey and thus di...
The J-PLUS Third Data Release (July 2022) (J-PLUS-DR3) comprises 1642 J-PLUS fields observed in twelve optical bands amounting to 3192 deg2 with ~29.8 million objects at r < 21.
You can access to DR3 description and data here.