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

New Publication

New Cosmology group paper

January 12, 2023

Cosmological Fisher forecasts for next-generation spectroscopic surveys ” by William Doumerg and collaborators has been uploaded to arXiv.

New Member

New Member in the Cosmology group

November 2, 2022

Hui Kong has joined the Observational Cosmology Group as a postdoc researcher.

New Member

New member in the Cosmology Group

October 5, 2022

Lucy Reynolds has joined the Observational Cosmology group at IFAE as PhD student.