Publication

New PAU Paper

“The PAU Survey: Photometric redshifts using transfer learning from simulations” by M. Eriksen et al. has been uploaded to arXiv.

It is the first paper demonstrating we can constrain PAUS redshifts with deep learning techniques. Previously we had (Eriksen 2019) shown it worked with template fitting method. Using a deep neural network we managed to improvethe photo-z scatter with 50% for the faintest galaxies. This was possible througha set of different techniques introduced in the paper. Among the most important was combining simulated and observed data when training the neural network.We also included techniques like auto-encoders to extract information about the galaxy SEDs.

Link to arXiv

Latest Group News

Meeting

The Cosmology group at the APS DPF Meeting 2021

July 7, 2021

Andreu Font-Ribera presented DESI in a talk at the 2021 Meeting of the APS Division of Particles & Fields (DPF21) with the title “Dark Energy Spectroscopic Instrument: Science Overview”.

Conference

The Cosmology group at the Cosmology from Home Conference 2021

July 7, 2021

Giulia Giannini is attending the Cosmology from Home Conference 2021 and giving the talk “Photometric Redshifts and Observational Systematics on DES-Y3 Analyses”

Collaboration Meeting

Euclid Consortium Meeting 2021

May 26, 2021

May 25 - 28, 2021 Online.
IFAE researchers contributed talks to the meeting