activity
20132026
most citedPhotometric redshift analysis in the Dark Energy Survey Science Verification data

180 citations · 436 across the 11 of their papers we have counts for

collaborators

11 papers

astro-ph.CO2026

Infrared-enhanced Photometric Redshifts for the Dark Energy Survey Y6 Gold catalogue

M. M. Puebla, I. Sevilla-Noarbe, J. de Vicente +13

The Dark Energy Survey (DES) provides optical data across 5000 square degrees of the southern sky, enabling a broad range of extragalactic and cosmological studies. Combining DES d…

astro-ph.SR2023

GTC Follow-up Observations of Very Metal-Poor Star Candidates from DESI

Carlos Allende Prieto, David S. Aguado, Jonay I. González Hernández +48

The observations from the Dark Energy Spectroscopic Instrument (DESI) will significantly increase the numbers of known extremely metal-poor stars by a factor of ~ 10, improving the…

astro-ph.CO2021★ 34 cited

Dark Energy Survey Year 3 results: Marginalisation over redshift distribution uncertainties using ranking of discrete realisations

Juan P. Cordero, Ian Harrison, Richard P. Rollins +92

Cosmological information from weak lensing surveys is maximised by dividing source galaxies into tomographic sub-samples for which the redshift distributions are estimated. Uncerta…

astro-ph.CO2021★ 18 cited

The PAU survey: Estimating galaxy photometry with deep learning

Laura Cabayol, Martin Eriksen, Adam Amara +14

With the dramatic rise in high-quality galaxy data expected from Euclid and Vera C. Rubin Observatory, there will be increasing demand for fast high-precision methods for measuring…

astro-ph.IM2019★ 10 cited

The PAU Survey: Background light estimation with deep learning techniques

Laura Cabayol-Garcia, Martin B. Eriksen, Àlex Alarcón +17

In any imaging survey, measuring accurately the astronomical background light is crucial to obtain good photometry. This paper introduces BKGnet, a deep neural network to predict t…

astro-ph.IM2018★ 29 cited

The PAU Survey: star-galaxy classification with multi narrow-band data

Laura Cabayol, Ignacio Sevilla-Noarbe, Enrique Fernández +18

Classification of stars and galaxies is a well-known astronomical problem that has been treated using different approaches, most of them relying on morphological information. In th…

astro-ph.GA2017★ 26 cited

DES Science Portal: Computing Photometric Redshifts

Julia Gschwend, Aurelio Carnero Rosell, Ricardo Ogando +68

A significant challenge facing photometric surveys for cosmological purposes is the need to produce reliable redshift estimates. The estimation of photometric redshifts (photo-zs)…

astro-ph.CO2016★ 33 cited

Weak lensing magnification in the Dark Energy Survey Science Verification Data

M. Garcia-Fernandez, E. Sánchez, I. Sevilla-Noarbe +68

In this paper the effect of weak lensing magnification on galaxy number counts is studied by cross-correlating the positions of two galaxy samples, separated by redshift, using dat…

astro-ph.CO2014★ 82 cited

Homogeneity and isotropy in the 2MASS Photometric Redshift catalogue

David Alonso, Ana Isabel Salvador, Francisco Javier Sánchez +3

Using the 2MASS Photometric Redshift catalogue we perform a number of statistical tests aimed at detecting possible departures from statistical homogeneity and isotropy in the larg…

astro-ph.IM2014★ 180 cited

Photometric redshift analysis in the Dark Energy Survey Science Verification data

C. Sánchez, M. Carrasco Kind, H. Lin +74

We present results from a study of the photometric redshift performance of the Dark Energy Survey (DES), using the early data from a Science Verification (SV) period of observation…

astro-ph.CO2013★ 24 cited

Measuring the transition to homogeneity with photometric redshift surveys

D. Alonso, A. Bueno Belloso, F. J. Sánchez +2

We study the possibility of detecting the transition to homogeneity using photometric redshift catalogs. Our method is based on measuring the fractality of the projected galaxy dis…