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
5 papers · 2 filters
Euclid: The Early Release Observations Lens Search Experiment
J. A. Acevedo Barroso, C. M. O'Riordan, B. Clément +206
We investigated the ability of the Euclid telescope to detect galaxy-scale gravitational lenses. To do so, we performed a systematic visual inspection of the Eucl…
Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods
Euclid Collaboration, A. Enia, M. Bolzonella +260
Euclid will collect an enormous amount of data during the mission's lifetime, observing billions of galaxies in the extragalactic sky. Along with traditional template-fitting metho…
Euclid: Early Release Observations -- Overview of the Perseus cluster and analysis of its luminosity and stellar mass functions
J. -C. Cuillandre, M. Bolzonella, A. Boselli +199
The Euclid ERO programme targeted the Perseus cluster of galaxies, gathering deep data in the central region of the cluster over 0.7 square degree, corresponding to approximately 0…
Euclid: Early Release Observations -- Globular clusters in the Fornax galaxy cluster, from dwarf galaxies to the intracluster field
T. Saifollahi, K. Voggel, A. Lançon +196
We present an analysis of Euclid observations of a 0.5 deg field in the central region of the Fornax galaxy cluster that were acquired during the performance verification phase…
Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning
Euclid Collaboration, B. Aussel, S. Kruk +255
The Euclid mission is expected to image millions of galaxies with high resolution, providing an extensive dataset to study galaxy evolution. We investigate the application of deep…