most citedYOLO-CIANNA: Galaxy detection with deep learning in radio data. I. A new YOLO-inspired source detection method applied to the SKAO SDC1

16 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.GA2025

YOLO-CIANNA: Galaxy detection with deep learning in radio data: II. Winning the SKA SDC2 using a generalized 3D-YOLO network

D. Cornu, B. Semelin, P. Salomé +8

As the scientific exploitation of the Square Kilometre Array (SKA) approaches, there is a need for new advanced data analysis and visualization tools capable of processing large hi…

astro-ph.GA2025

Observations of Carbon Radio Recombination Lines with the NenuFAR telescope. I. Cassiopeia A and Cygnus A

Lucie Cros, Antoine Gusdorf, Philippe Salomé +26

Carbon Radio Recombination Lines (CRRLs) at decametre wavelengths trace the diffuse phase of the interstellar medium (ISM) of the Galaxy. Their observation allows to measure physic…

astro-ph.GA2025★ 1 cited

Dynamical traction and black hole orbital migration

C. M. Boily, T. L. François, J. Freundlich +3

We investigate the circumstances which allow a black hole to remain put at the galactic centre when the stellar core is anisotropic. We use N-body calculations to study the respons…

astro-ph.GA2024

Forming off-center massive black hole binaries in dwarf galaxies through Jacobi capture

Thibaut L. François, Christian M. Boily, Jonathan Freundlich +2

It is well established that black holes reside in the central regions of virtually all types of known galaxies. Recent observational and numerical studies however challenge this pi…

astro-ph.IM2024★ 16 cited

YOLO-CIANNA: Galaxy detection with deep learning in radio data. I. A new YOLO-inspired source detection method applied to the SKAO SDC1

D. Cornu, P. Salomé, B. Semelin +8

The upcoming Square Kilometer Array (SKA) will set a new standard regarding data volume generated by an astronomical instrument, which is likely to challenge widely adopted data-an…