Project information

  • Title: Improving photometric redshift estimation
  • Category: Computer science, Astronomy, Deep learning
  • Contacts: László Dobos, István Csabai

Project description

Photometric redshift estimation is a technique to guess the redshift of an extragalactic object (galaxy or quasar) based on its broadband magnitudes, when no spectroscopy is available. Similar techniques can be used to estimate other important physical properties of galaxies such as the start formation rate or total stellar mass.

Prerequisites and requirements

Further reading