13 citations · 18 across the 6 of their papers we have counts for
7 papers
Advanced Virgo during the LIGO-Virgo-KAGRA fourth observing run
Virgo Collaboration, F Acernese, A Agapito +546
From April 10, 2024 to November 18, 2025 Advanced Virgo participated in the fourth observing run of the network of gravitational-wave detectors, together with Advanced LIGO and KAG…
Ionization Structure and Metal Enrichment of the Galactic Center Minispiral Observed with JWST
Nicole M Ford, Mayura Balakrishnan, Sebastiano D. von Fellenberg +11
Sagittarius A* (Sgr A*) is the nearest quiescent supermassive black hole, and its proximity offers a unique opportunity to study its surrounding fuel supply. We leverage extensive…
Infrared Line Diagnostics Fail to Constrain Sgr A*'s UV Output
Mayura Balakrishnan, Sebastiano D. von Fellenberg, Daryl Haggard +11
Sgr A*, the 4 x supermassive black hole at the Galactic Center, exhibits frequent flaring with X-ray luminosities of erg s, while i…
Advanced Virgo Plus for O5 -- Design Report Overview
F. Acernese, A. Agapito, D. Agarwal +578
This document presents an overview of the design, implementation, and expected performance of the Advanced Virgo Plus (AdV+) upgrades in view of the O5 observing run. Following the…
Optimizing searches for gravitational wave bursts using coherent WaveBurst 2G
Alessandro Martini, Andrea Miani, Marco Drago +11
The most general searches for gravitational wave transients (GWTs) rely on data analysis methods that do not assume prior knowledge of the signal waveform, direction, or arrival ti…
AutoSourceID-Classifier. Star-Galaxy Classification using a Convolutional Neural Network with Spatial Information
F. Stoppa, S. Bhattacharyya, R. Ruiz de Austri +10
Aims. Traditional star-galaxy classification techniques often rely on feature estimation from catalogues, a process susceptible to introducing inaccuracies, thereby potentially jeo…
AutoSourceID-FeatureExtractor. Optical image analysis using a two-step mean variance estimation network for feature estimation and uncertainty characterisation
F. Stoppa, R. Ruiz de Austri, P. Vreeswijk +9
Aims. In astronomy, machine learning has been successful in various tasks such as source localisation, classification, anomaly detection, and segmentation. However, feature regress…