From the 1 of 143 linked papers with an AI index.
5 citations · 14 across the 56 of their papers we have counts for
56 papers · 1 filter
Observations of AGN-driven feedback: dynamics and ionization of the filaments in M87
Camille Poitras, Marie-Lou Gendron-Marsolais, Valeria Olivares +9
We present a comprehensive kinematic and ionization analysis of the warm ionized filaments ( K) in M87, the central galaxy of the Virgo cluster, using new integral field spec…
Why the Northern Hemisphere Needs a 30-40m Telescope and the Science at Stake: from Interstellar Visitors to Planetary Defence
J. de León, N. Pinilla-Alonso, P. Tanga +49
Small Solar system Objects (SSOs) preserve the physical, chemical, and dynamical signatures of the Sun's protoplanetary disk. Upcoming surveys will discover vast numbers of new obj…
A sub-ppm upper limit on the cosmological variations of the fine structure constant alpha
S. Muller, A. Beelen, M. Guelin +9
Absorption spectroscopy toward high-redshift quasars provides strong constraints on the putative variation of fundamental constants of physics on cosmological time scales. The subm…
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…
Euclid: Quick Data Release (Q1) -- A photometric search for ultracool dwarfs in the Euclid Deep Fields
M. Žerjal, C. Dominguez-Tagle, N. Vitas +178
We present a catalogue of 5306 new ultracool dwarf (UCD) candidates in the three Euclid Deep Fields in the Q1 data release. They range from late M to late T dwarfs, and include 120…
Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data
Euclid Collaboration, N. E. P. Lines, T. E. Collett +301
In the era of large-scale surveys like Euclid, machine learning has become an essential tool for identifying rare yet scientifically valuable objects, such as strong gravitational…