activity
20182026
most citedA New RASS Galaxy Cluster Catalog with Low Contamination Extending to in the DES Overlap Region

75 citations · 178 across the 16 of their papers we have counts for

collaborators

17 papers

astro-ph.GA2026

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…

astro-ph.CO2026

An LSST-DESC Precursor Project: Hyper Suprime-Cam Year 1 pt in Harmonic Space

D. Sanchez-Cid, J. Sanchez, I. Sevilla-Noarbe +19

We present the first fully photometric joint analysis of weak gravitational lensing and galaxy clustering (32pt) in harmonic space with LSST-DESC analysis pipelines applied…

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.CO2026

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…

astro-ph.CO2026

Dark Energy Survey Year 3 results: optimized CDM simulation-based inference with weak lensing map-level hybrid statistics

J. Williamson, T. L. Makinen, N. Porqueres +85

We present cosmological constraints from the Dark Energy Survey Year 3 (DES Y3) weak lensing data using hierarchical hybrid statistics within a Bayesian simulation-based inference…

astro-ph.IM2025★ 1 cited

Photometric Redshift Estimation for Rubin Observatory Data Preview 1 with Redshift Assessment Infrastructure Layers (RAIL)

T. Zhang, E. Charles, J. F. Crenshaw +87

We present the first systematic analysis of photometric redshifts (photo-z) estimated from the Rubin Observatory Data Preview 1 (DP1) data taken with the Legacy Survey of Space and…

astro-ph.GA2025★ 1 cited

Robust Measurement of Stellar Streams Around the Milky Way: Correcting Spatially Variable Observational Selection Effects in Optical Imaging Surveys

K. K. Boone, P. S. Ferguson, M. Tabbutt +47

Observations of density variations in stellar streams are a promising probe of low-mass dark matter substructure in the Milky Way. However, survey systematics such as variations in…

astro-ph.CO2025

Biasing from galaxy trough and peak profiles with the DES Y3 redMaGiC galaxies and the weak lensing mass map

Q. Hang, N. Jeffrey, L. Whiteway +83

We measure the correspondence between the distribution of galaxies and matter around troughs and peaks in the projected galaxy density, by comparing \texttt{redMaGiC} galaxies ($0.…

astro-ph.GA2025★ 2 cited

DELVE Milky Way Satellite Galaxy Census I: Satellite Population and Survey Selection Function in DES, DELVE, and Pan-STARRS

C. Y. Tan, A. Drlica-Wagner, A. B. Pace +84

The properties of Milky Way satellite galaxies have important implications for galaxy formation, reionization, and the fundamental physics of dark matter. However, the population o…

astro-ph.IM2025

Dimensional reduction for sampled priors and application to photometric redshift distributions

Gary Bernstein, William Assignies Doumerg, Michael A. Troxel +35

A typical Bayesian inference on the values of some parameters of interest from some data involves running a Markov Chain (MC) to sample from the posterior $p({\bf q},{\…

astro-ph.CO2025★ 5 cited

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…

astro-ph.GA2024

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…

astro-ph.GA2023

Cosmological shocks around galaxy clusters: A coherent investigation with DES, SPT & ACT

D. Anbajagane, C. Chang, E. J. Baxter +111

We search for signatures of cosmological shocks in gas pressure profiles of galaxy clusters using the cluster catalogs from three surveys: the Dark Energy Survey (DES) Year 3, the…

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.HE2020★ 60 cited

Candidate Periodically Variable Quasars from the Dark Energy Survey and the Sloan Digital Sky Survey

Yu-Ching Chen, Xin Liu, Wei-Ting Liao +62

Periodically variable quasars have been suggested as close binary supermassive black holes. We present a systematic search for periodic light curves in 625 spectroscopically confir…

astro-ph.CO2018★ 75 cited

A New RASS Galaxy Cluster Catalog with Low Contamination Extending to in the DES Overlap Region

Matthias Klein, Sebastian Grandis, Joseph Mohr +2

We present the MARD-Y3 catalog of between 1086 and 2171 galaxy clusters (52\% and 65\% new) produced using multi-component matched filter (MCMF) followup in 5000\,deg of DES-Y3…

astro-ph.IM2018★ 16 cited

The PAU Survey: Operation and orchestration of multi-band survey data

Nadia Tonello, Pau Tallada, Santiago Serrano +14

The Physics of the Accelerating Universe (PAU) Survey is an international project for the study of cosmological parameters associated with Dark Energy. PAU's 18-CCD camera (PAUCam)…