activity
20172020
most citedDark Energy Survey Year 1 Results: Cross-Correlation Redshifts in the DES -- Calibration of the Weak Lensing Source Redshift Distributions

41 citations · 109 across the 3 of their papers we have counts for

collaborators

7 papers

astro-ph.CO202031 cited

Propagating sample variance uncertainties in redshift calibration: simulations, theory and application to the COSMOS2015 data

Carles Sánchez, Marco Raveri, Alex Alarcon +1

Cosmological analyses of galaxy surveys rely on knowledge of the redshift distribution of their galaxy sample. This is usually derived from a spectroscopic and/or many-band photome…

astro-ph.GA2020

The PAU Survey: Photometric redshifts using transfer learning from simulations

M. Eriksen, A. Alarcon, L. Cabayol +15

In this paper we introduce the \textsc{Deepz} deep learning photometric redshift (photo-) code. As a test case, we apply the code to the PAU survey (PAUS) data in the COSMOS fie…

astro-ph.CO2020

Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances and Weak Lensing

DES Collaboration, Tim Abbott, Michel Aguena +129

We perform a joint analysis of the counts and weak lensing signal of redMaPPer clusters selected from the Dark Energy Survey (DES) Year 1 dataset. Our analysis uses the same shear…

astro-ph.CO2019

Redshift inference from the combination of galaxy colors and clustering in a hierarchical Bayesian model Application to realistic -body simulations

Alex Alarcon, Carles Sánchez, Gary M. Bernstein +1

Photometric galaxy surveys constitute a powerful cosmological probe but rely on the accurate characterization of their redshift distributions using only broadband imaging, and can…

astro-ph.IM201937 cited

The Physics of the Accelerating Universe Camera

Cristobal Padilla, Francisco J. Castander, Alex Alarcon +30

The PAU (Physics of the Accelerating Universe) Survey goal is to obtain photometric redshifts (photo-z) and Spectral Energy Distribution (SED) of astronomical objects with a resolu…

astro-ph.CO2019

Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing

R. Buchs, C. Davis, D. Gruen +71

Wide-field imaging surveys such as the Dark Energy Survey (DES) rely on coarse measurements of spectral energy distributions in a few filters to estimate the redshift distribution…