Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data

Radamanthys Stivaktakis, Grigorios Tsagkatakis, Bruno Moraes +3

In this paper, we address the problem of spectroscopic redshift estimation in Astronomy. Due to the expansion of the Universe, galaxies recede from each other on average. This move…