5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR146 papers
- California Institute of TechnologyUS136 papers
- Goddard Space Flight CenterUS133 papers
- European Space Research and Technology CentreNL128 papers
- University of GenevaCH125 papers
- University of OsloNO124 papers
- National Institute for AstrophysicsIT122 papers
- Université Paris CitéFR122 papers
- University College LondonGB122 papers
- Jet Propulsion LaboratoryUS121 papers
- Université Paris-SaclayFR121 papers
- Astrophysique, Instrumentation et ModélisationFR120 papers
25 papers · 2 filters
Euclid preparation. Review of forecast constraints on dark energy and modified gravity
Euclid Collaboration, N. Frusciante, M. Martinelli +326
The Euclid mission has been designed to provide, as one of its main deliverables, information on the nature of the gravitational interaction, which determines the expansion of the…
EMU and Euclid: Detection of a radio-optical galaxy clustering cross-correlation signal between the Evolutionary Map of the Universe and Euclid
G. Piccirilli, B. Bahr-Kalus, S. Camera +173
Synergies between large-scale radio-continuum and optical/near-infrared galaxy surveys are a powerful tool for cosmology. Cross-correlating these surveys can constrain the redshift…
Euclid preparation. XCII. Controlling angular systematics in the Euclid spectroscopic galaxy sample
Euclid Collaboration, P. Monaco, M. Y. Elkhashab +298
We present the strategy used to identify and mitigate potential sources of angular systematics in the \textit{Euclid} spectroscopic galaxy survey, and we quantify their impact on g…
Implicit inference of the reionization history with higher-order statistics of the 21-cm signal
Nicolas Cerardi, Sambit K. Giri, Michele Bianco +9
The Epoch of Reionization (EoR), when the first luminous sources ionised the intergalactic medium, represents a new frontier in cosmology. The Square Kilometre Array Observatory (S…
Dark Energy Survey Year 3 results: Simulation-based CDM inference from weak lensing and galaxy clustering maps with deep learning: Analysis design
A. Thomsen, J. Bucko, T. Kacprzak +99
Data-driven approaches using deep learning are emerging as powerful techniques to extract non-Gaussian information from cosmological large-scale structure. This work presents the f…
Euclid Quick Data Release (Q1). Searching for giant gravitational arcs in galaxy clusters with mask region-based convolutional neural networks
Euclid Collaboration, L. Bazzanini, G. Angora +306
Strong gravitational lensing (SL) by galaxy clusters is a powerful probe of their inner mass distribution and a key test bed for cosmological models. However, the detection of SL e…
Euclid preparation: The flat-sky approximation for the clustering of Euclid's photometric galaxies
Euclid Collaboration, W. L. Matthewson, R. Durrer +277
We compare the performance of the flat-sky approximation and Limber approximation for the clustering analysis of the photometric galaxy catalogue of Euclid. We study a 6 bin config…
Euclid preparation XCVII. Cosmology Likelihood for Observables in Euclid (CLOE). 4: Validation and performance
Euclid Collaboration, M. Martinelli, A. Pezzotta +334
The Euclid satellite will provide data on the clustering of galaxies and on the distortion of their measured shapes, which can be used to constrain and test the cosmological model.…
Cosmology Likelihood for Observables in \Euclid (CLOE). 1. Theoretical recipe
Euclid Collaboration, V. F. Cardone, S. Joudaki +323
As the statistical precision of cosmological measurements increases, the accuracy of the theoretical description of these measurements needs to increase correspondingly in order to…
Euclid preparation. LXXXV. Toward a DR1 application of higher-order weak lensing statistics
Euclid Collaboration, S. Vinciguerra, F. Bouchè +284
This is the second paper in the HOWLS (higher-order weak lensing statistics) series exploring the usage of non-Gaussian statistics for cosmology inference within Euclid. With respe…
Exploring the Early Universe with Deep Learning
Emmanuel de Salis, Massimo De Santis, Davide Piras +9
Hydrogen is the most abundant element in our Universe. The first generation of stars and galaxies produced photons that ionized hydrogen gas, driving a cosmological event known as…
Euclid preparation. XCI. Validation method for the detections in the Euclid Catalogue of Galaxy Clusters using external data
Euclid Collaboration, J. -B. Melin, S. A. Stanford +315
We present our methodology for identifying known clusters as counterparts to objects in the Euclid Catalogue of Galaxy Clusters (ECGC). Euclid is expected to detect a large number…
Euclid preparation. Establishing the quality of the 2D reconstruction of the filaments of the cosmic web with DisPerSE using Euclid photometric redshifts
Euclid Collaboration, N. Malavasi, F. Sarron +313
Cosmic filaments are prominent structures of the matter distribution of the Universe. Modern detection algorithms are an efficient way to identify filaments in large-scale observat…
Euclid: Photometric redshift calibration with self-organising maps
W. Roster, A. H. Wright, H. Hildebrandt +173
The Euclid survey aims to trace the evolution of cosmic structures up to redshift 3 and beyond. Its success depends critically on obtaining highly accurate mean redshift…
Euclid: Early Release Observations. A combined strong and weak lensing solution for Abell 2390 beyond its virial radius
J. M. Diego, G. Congedo, R. Gavazzi +183
Euclid is presently mapping the distribution of matter in the Universe in detail via the weak lensing (WL) signature of billions of distant galaxies. The WL signal is most prominen…
Euclid: Early Release Observations. Weak gravitational lensing analysis of Abell 2390
T. Schrabback, G. Congedo, R. Gavazzi +196
The Euclid space telescope of the European Space Agency (ESA) is designed to provide sensitive and accurate measurements of weak gravitational lensing distortions over wide areas o…
Euclid preparation. Simulating thousands of Euclid spectroscopic skies
Euclid Collaboration, P. Monaco, G. Parimbelli +303
We present two extensive sets of 3500+1000 simulations of dark matter haloes on the past light cone, and two corresponding sets of simulated (`mock') galaxy catalogues that represe…
Euclid preparation. Full-shape modelling of 2-point and 3-point correlation functions in real space
Euclid Collaboration, M. Guidi, A. Veropalumbo +308
We investigate the accuracy and range of validity of the perturbative model for the 2-point (2PCF) and 3-point (3PCF) correlation functions in real space in view of the forthcoming…
Euclid: An emulator for baryonic effects on the matter bispectrum
P. A. Burger, G. Aricò, L. Linke +153
Understanding the impact of baryonic processes such as star formation and active galactic nuclei (AGN) feedback on matter clustering is crucial to ensure precise and unbiased cosmo…
Euclid preparation. LXXXIX. Accurate and precise data-driven angular power spectrum covariances
Euclid Collaboration, K. Naidoo, J. Ruiz-Zapatero +280
We develop techniques for generating accurate and precise internal covariances for measurements of clustering and weak-lensing angular power spectra. These methods have been design…
Euclid preparation CIX. Baryon acoustic oscillation analysis of photometric galaxy clustering in configuration space
Euclid Collaboration, V. Duret, S. Escoffier +286
With about 1.5 billion galaxies expected to be observed, the very large number of objects in the Euclid photometric survey will allow for precise studies of galaxy clustering from…
Euclid Quick Data Release (Q1). The first Euclid view of Planck galaxy protocluster candidates at cosmic noon
Euclid Collaboration, T. Dusserre, H. Dole +339
[ABRIGED ABSTRACT] A large catalogue of candidate galaxy protoclusters with high star-formation rates was produced by the Planck collaboration. We search, in the first data release…
Euclid Quick Data Release (Q1). First detections from the galaxy cluster workflow
Euclid Collaboration, S. Bhargava, C. Benoist +351
The first survey data release by the Euclid mission covers approximately in the Euclid Deep Fields to the same depth as the Euclid Wide Survey. This paper show…
Interpretability of deep-learning methods applied to large-scale structure surveys
Gaspard Aymerich, Tomasz Kacprzak, Alexandre Refregier
Deep learning and convolutional neural networks in particular are powerful and promising tools for cosmological analysis of large-scale structure surveys. They are already providin…