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162 papers · 1 filter
A multiwavelength study of an early galaxy group merger in COSMOS revealed by two tailed radio galaxies at z = 0.35
Paula Vulić, Vernesa Smolčić, Ghassem Gozaliasl +2
We report the discovery of two tailed radio galaxies in the COSMOS field, associated with a massive, dynamically unrelaxed galaxy group detected in X-rays at z = 0.349. One of them…
Interfacing adaptive optics simulations with the optical model: a powerful tool for MORFEO
Giorgio Pariani, Guido Agapito, Demetrio Magrin +5
In the framework of the MORFEO project, the Multi-Conjugated Adaptive Optics (MCAO) module for the European Extremely Large Telescope (ELT), we developed an integrated modeling too…
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…
Black hole merger rates for LISA and LGWA from semi-analytical modelling of light seeds
Jasbir Singh, Paola Severgnini, Vieri Cammelli +10
With the upcoming space- and Moon-based gravitational-wave detectors, LISA and LGWA respectively, a new era of GW astronomy will begin with the possibility of detections of the mer…
A Song of Lines and Winds: Tracing the Signatures of AGN Outflows in X-rays
M. Laurenti, F. Tombesi, P. Condò +14
Ultra-fast outflows (UFOs) are highly ionized, mildly relativistic winds seen in the X-ray spectra of active galactic nuclei (AGN) and are thought to contribute to AGN feedback and…
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…