423 citations · 1.4k across the 44 of their papers we have counts for
44 papers
The PAU Survey: Active galactic nucleus galaxies in galaxy pairs
F. Duplancic, M. Siudek, D. Navarro-Gironés +21
Aims. Leveraging the high-precision photometric redshifts of the Physics of the Accelerating Universe Survey (PAUS), we aim to investigate the connection between active galactic nu…
Beyond traditional emission-line diagnostics: using autoencoders to uncover active galactic nuclei in DESI spectra
J. A. Alcolea, M. Siudek, M. Eriksen +49
The growing volume of spectroscopic data in modern surveys motivates data-driven approaches that complement traditional emission-line diagnostics for active galactic nuclei (AGN) i…
Joint probabilistic inference of galaxy redshifts and rest-frame spectra from photometric fluxes with latent diffusion
Han-Yue Guo, Martin Eriksen
Wide-field imaging surveys now provide photometry for billions of sources, while spectroscopic observations remain limited, motivating methods that can extract spectroscopic inform…
The PAU Survey: The -band galaxy luminosity function from the present-day to
S. Koonkor, C. M. Baugh, G. Manzoni +13
We present a measurement of the -band galaxy luminosity function from the present-day to , using over 1.1 million galaxies from the Physics of the Accelerating Universe S…
The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshift
D. Navarro-Gironés, M. Crocce, E. Gaztañaga +21
We present the measurements and constraints of intrinsic alignments (IA) in the Physics of the Accelerating Universe Survey (PAUS) deep wide fields, which include the W1 and W3 fie…
Euclid: Photometric redshift calibration with the clustering redshifts technique
W. d'Assignies, M. Manera, C. Padilla +172
Aims: The precision of cosmological constraints from imaging surveys hinges on accurately estimating the redshift distribution of tomographic bins, especially their mean r…
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…
ANNZ+: an enhanced photometric redshift estimation algorithm with applications on the PAU Survey
Imdad Mahmud Pathi, John Y. H. Soo, Mao Jie Wee +16
ANNZ is a fast and simple algorithm which utilises artificial neural networks (ANNs), it was known as one of the pioneers of machine learning approaches to photometric redshift est…
The PAU Survey: The quasar UV and Ly luminosity functions at
Alberto Torralba-Torregrosa, Pablo Renard, Daniele Spinoso +17
We present the Lyman- (Ly) and ultraviolet (UV) luminosity function (LF), in bins of redshift, of quasars selected in the Physics of the Accelerating Universe Survey (PAUS).…
The PAU Survey: Photometric Calibration of Narrow Band Images
F. J. Castander, S. Serrano, M. Eriksen +20
The Physics of the Accelerating Universe (PAU) camera is an optical narrow band and broad band imaging instrument mounted at the prime focus of the William Herschel Telescope. We d…
The PAU Survey: galaxy stellar population properties estimates with narrowband data
Benjamin Csizi, Luca Tortorelli, Małgorzata Siudek +17
Narrowband galaxy surveys have recently gained interest as a promising method to achieve the necessary accuracy on the photometric redshift estimate of individual galaxies for stag…
The PAU Survey: Photometric redshift estimation in deep wide fields
D. Navarro-Gironés, E. Gaztañaga, M. Crocce +23
We present photometric redshifts (photo-) for the deep wide fields of the Physics of the Accelerating Universe Survey (PAUS), covering an area of 50 deg, for 1…
The PAU Survey: a new constraint on galaxy formation models using the observed colour redshift relation
G. Manzoni, C. M. Baugh, P. Norberg +27
We use the GALFORM semi-analytical galaxy formation model implemented in the Planck Millennium N-body simulation to build a mock galaxy catalogue on an observer's past lightcone. T…
The PAU Survey: Close galaxy pairs identification and analysis
E. J. Gonzalez, F. Rodriguez, D. Navarro-Gironés +18
Galaxy pairs constitute the initial building blocks of galaxy evolution, which is driven through merger events and interactions. Thus, the analysis of these systems can be valuable…
The PAU Survey & Euclid: Improving broad-band photometric redshifts with multi-task learning
L. Cabayol, M. Eriksen, J. Carretero +123
Current and future imaging surveys require photometric redshifts (photo-zs) to be estimated for millions of galaxies. Improving the photo-z quality is a major challenge but is need…
The PAU Survey: Narrow-band image photometry
S. Serrano, E. Gaztañaga, F. J. Castander +22
PAUCam is an innovative optical narrow-band imager mounted at the William Herschel Telescope built for the Physics of the Accelerating Universe Survey (PAUS). Its set of 40 filters…
The PAU Survey: Measurements of the 4000 Å spectral break with narrow-band photometry
Pablo Renard, Małgorzata Siudek, Martin B. Eriksen +19
The D4000 spectral break index is one of the most important features in the visible spectrum, as it is a proxy for stellar ages and is also used in galaxy classification. However,…
The PAU Survey: Measurement of Narrow-band galaxy properties with Approximate Bayesian Computation
Luca Tortorelli, Malgorzata Siudek, Beatrice Moser +22
Narrow-band imaging surveys allow the study of the spectral characteristics of galaxies without the need of performing their spectroscopic follow-up. In this work, we forward-model…
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…
The PAU Survey: narrowband photometric redshifts using Gaussian processes
John Y. H. Soo, Benjamin Joachimi, Martin Eriksen +16
We study the performance of the hybrid template-machine-learning photometric redshift (photo-) algorithm Delight, which uses Gaussian processes, on a subset of the early data re…
The PAU Survey: Intrinsic alignments and clustering of narrow-band photometric galaxies
Harry Johnston, Benjamin Joachimi, Peder Norberg +20
We present the first measurements of the projected clustering and intrinsic alignments (IA) of galaxies observed by the Physics of the Accelerating Universe Survey (PAUS). With pho…
The PAU Survey: An improved photo- sample in the COSMOS field
Alex Alarcon, Enrique Gaztanaga, Martin Eriksen +21
We present -- and make publicly available -- accurate and precise photometric redshifts in the ACS footprint from the COSMOS field for objects with . The re…
The PAU survey: Ly intensity mapping forecast
Pablo Renard, Enrique Gaztanaga, Rupert Croft +9
In this work, we explore the application of intensity mapping to detect extended Ly emission from the IGM via cross-correlation of PAUS images with Ly forest data from eBOSS…
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…