Mesurer les redshifts des galaxies à partir des données photométriques multi-bande avec l'apprentissage automatique
Measurement of galaxy redshifts from multi-band photometric data with machine learning
Poursuite possible en thèse
Résumé/Summary
This stage has as goal to measure photometric redshifts of galaxies from the multi-band UNIONS survey.
The student will apply state-of-the-art machine learning techniques including deep learning, to obtain precise photometric redshifts and error estimates. Those photometric redshifts represent a crucial ingredient for the cosmological analysis of the UNIONS survey.
Sujet détaillé/Full description
Voir http://www.cosmostat.org/jobs/mk_redshifts
See http://www.cosmostat.org/jobs/mk_redshifts
Compétences/Skills
Image processing, photometry, machine learning
Logiciels