Photometric identification of compact galaxies, stars and quasars using multiple neural networks. (arXiv:2211.08388v1 [astro-ph.GA])

We present MargNet, a deep learning-based classifier for identifying stars,
quasars and compact galaxies using photometric parameters and images from the
Sloan Digital Sky Survey (SDSS) Data Release 16 (DR16) catalogue. MargNet
consists of a combination of Convolutional Neural Network (CNN) and Artificial
Neural Network (ANN) architectures. Using a carefully curated dataset
consisting of 240,000 compact objects and an additional 150,000 faint objects,
the machine learns classification directly from the data, minimising the need
for human intervention. MargNet is the …

arxiv astro identification networks neural networks