63 citations · 159 across the 19 of their papers we have counts for
20 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…
The PAU Survey and Euclid: Analysing photometric redshifts from realistically simulated narrow-band photometry with Flagship 2
A. Wittje, H. Hildebrandt, D. Navarro-Gironés +154
The study of the large-scale structure of the Universe and the distribution of galaxies has been greatly advanced by the application of various types of photometric redshift estima…
Towards Bayesian Photometric Cosmic Chronometers: Application to VIPERS
Swaraj Pradhan, Pablo Renard, Enrique Gaztanaga +2
The cosmic chronometer (CC) method provides a direct measurement of the expansion history, , from the differential ages of passively evolving galaxies. However, most CC analy…
The PAU Survey: Uncovering the connection between intrinsic and observed galaxy properties using symbolic regression
Adarsh Kumar, Carlton M. Baugh, Suttikoon Koonkor +12
Estimating stellar masses for billions of galaxies in upcoming surveys requires methods that are both accurate and computationally efficient. We present a new approach using symbol…
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…
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…
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…
Probing the cosmic web in Ly emission over large scales: an Intensity Mapping forecast for DECaLS/BASS and DESI
Pablo Renard, Daniele Spinoso, Zechang Sun +3
Being the most prominent HI line, Ly permeates the cosmic web in emission. Despite its potential as a cosmological probe, its detection on large scales remains elusive. We prese…
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…
Neutral Hydrogen content of dwarf galaxies in different environments
Hui-Jie Hu, Qi Guo, Pablo Renard +5
Environments play an important role in galaxy formation and evolution, particularly in regulating the content of neutral gas. However, current HI surveys have limitations in their…
The PAU Survey: Classifying low-z SEDs using Machine Learning clustering
A. L. González-Morán, P. Arrabal Haro, C. Muñóz-Tuñón +15
We present an application of unsupervised Machine Learning Clustering to the PAU Survey of galaxy spectral energy distribution (SED) within the COSMOS field. The clustering algorit…
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: 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: 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…