550 citations · 1k across the 12 of their papers we have counts for
12 papers
The PAU Survey: Enhancing photometric redshift estimation using DEEPz
I. V. Daza-Perilla, M. Eriksen, D. Navarro-Gironés +20
We present photometric redshifts for 1 341 559 galaxies from the Physics of the Accelerating Universe Survey (PAUS) over 50.38 of sky to . Redshift e…
ForestFlow: predicting the Lyman- forest clustering from linear to nonlinear scales
J. Chaves-Montero, L. Cabayol-Garcia, M. Lokken +31
On large scales, the Lyman- forest provides insights into the expansion history of the Universe, while on small scales, it imposes strict constraints on the growth history, the…
Euclid. I. Overview of the Euclid mission
Euclid Collaboration, Y. Mellier, Abdurro'uf +1134
The current standard model of cosmology successfully describes a variety of measurements, but the nature of its main ingredients, dark matter and dark energy, remains unknown. Eucl…
Impact of Systematic Redshift Errors on the Cross-correlation of the Lyman- Forest with Quasars at Small Scales Using DESI Early Data
Abby Bault, David Kirkby, Julien Guy +59
The Dark Energy Spectroscopic Instrument (DESI) will measure millions of quasar spectra by the end of its 5 year survey. Quasar redshift errors impact the shape of the Lyman- fo…
Synthetic spectra for Lyman- forest analysis in the Dark Energy Spectroscopic Instrument
Hiram K. Herrera-Alcantar, Andrea Muñoz-Gutiérrez, Ting Tan +51
Synthetic data sets are used in cosmology to test analysis procedures, to verify that systematic errors are well understood and to demonstrate that measurements are unbiased. In th…
Optimal 1D Ly Forest Power Spectrum Estimation -- III. DESI early data
Naim Göksel Karaçaylı, Paul Martini, Julien Guy +59
The one-dimensional power spectrum of the Ly forest provides important information about cosmological and astrophysical parameters, including constraints on wa…
The Lyman- forest catalog from the Dark Energy Spectroscopic Instrument Early Data Release
César Ramírez-Pérez, Ignasi Pérez-Ràfols, Andreu Font-Ribera +67
We present and validate the catalog of Lyman- forest fluctuations for 3D analyses using the Early Data Release (EDR) from the Dark Energy Spectroscopic Instrument (DESI) survey.…
The Dark Energy Spectroscopic Instrument: One-dimensional power spectrum from first Lyman- forest samples with Fast Fourier Transform
Corentin Ravoux, Marie Lynn Abdul-Karim, Eric Armengaud +63
We present the one-dimensional Lyman- forest power spectrum measurement using the first data provided by the Dark Energy Spectroscopic Instrument (DESI). The data sample compris…
The Early Data Release of the Dark Energy Spectroscopic Instrument
DESI Collaboration, A. G. Adame, J. Aguilar +266
The Dark Energy Spectroscopic Instrument (DESI) completed its five-month Survey Validation in May 2021. Spectra of stellar and extragalactic targets from Survey Validation constitu…
Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument
DESI Collaboration, A. G. Adame, J. Aguilar +261
The Dark Energy Spectroscopic Instrument (DESI) was designed to conduct a survey covering 14,000 deg over five years to constrain the cosmic expansion history through precise m…
A neural network emulator for the Lyman- 1D flux power spectrum
Laura Cabayol-Garcia, Jonás Chaves-Montero, Andreu Font-Ribera +1
The Lyman- forest offers a unique avenue for studying the distribution of matter in the high redshift universe and extracting precise constraints on the nature of dark matter, n…
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…