“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
New results
Andreu Font Presents Latest DESI BAO Results at Harvard
May 5, 2025
During the week of April 15, 2025, Andreu Font delivered a talk at Harvard’s Center for Astrophysics, presenting the latest Baryon Acoustic Oscillation (BAO) results from the Dark Energy Spectroscopic Instrument (DESI) collaboration. His presentation, titled “How Constant is the Cosmological Constant? Challenging the ΛCDM Model with New Measurements from the DESI Collaboration ”, explored how recent data may question key assumptions of the standard cosmological model.
The talk is available to watch online .