From the 13 of 293 papers with an AI index.
69 citations
- University of ZurichCH55 papers
- California Institute of TechnologyUS51 papers
- University of BolognaIT51 papers
- Université Paris-SaclayFR50 papers
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES49 papers
- University of PaduaIT49 papers
- University of TurinIT49 papers
- Princeton UniversityUS48 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT47 papers
- University of TriesteIT47 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT46 papers
- Centre National de la Recherche ScientifiqueFR45 papers
7 papers · 1 filter
Euclid Quick Data Release (Q1): The geometry of dark matter halos from extragalactic streams
Euclid Collaboration, N. Starkman, J. Nibauer +295
Wide-field surveys like Euclid mark a new era of extragalactic stellar stream studies. With a large number of streams, it is now possible to constrain the dark matter halos of gala…
Euclid Quick Data Release (Q1): The impact of AGN emission on SED-derived physical properties
Euclid Collaboration, B. Laloux, A. Bongiorno +309
The Euclid Quick Data Release (Q1) is a powerful dataset to study active galactic nuclei (AGN) and their host galaxies. Deriving their physical properties through multi-component s…
The Dyson Minds 2025 Workshop: SETI around Black Holes
Olivia Curtis, Van Hunter Adams, Daniel Angerhausen +9
The Dyson Minds 2025 Workshop, held at the Center for Brains, Minds & Machines at MIT and organized by Penn State, MIT, and The Ultraintelligence Foundation, brought together resea…
Euclid: Scaled-up little red dots and other sources with v-shaped spectral energy distributions at z>4
Euclid Collaboration, A. A. Tumborang, K. I. Caputi +169
Little Red Dots (LRDs) are some the most intriguing galaxy populations recently identified at z>~4 with JWST. They constitute the most extreme class of a more abundant population o…
Euclid Quick Data Release (Q1). AgileLens: A scalable CNN-based pipeline for strong gravitational lens identification
Euclid Collaboration, X. Xu, R. Chen +308
We present an end-to-end, iterative pipeline for efficient identification of strong galaxy--galaxy lensing systems, applied to the Euclid Q1 imaging data. Starting from VIS catalog…
Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine F -- Bright and low-redshift strong lenses
Euclid Collaboration, L. R. Ecker, M. Fabricius +346
We present 72 additional galaxy-galaxy strong lenses that complement the sample discovered in the Euclid Quick Release 1 data (63.1 deg^2) of the Strong Lens Discovery Engine (SLDE…