From the 1 of 5 linked papers with an AI index.
5 papers
Advanced Virgo during the LIGO-Virgo-KAGRA fourth observing run
Virgo Collaboration, F Acernese, A Agapito +546
The paper reports on Advanced Virgo's participation in the fourth observing run (O4) of the global gravitational‑wave detector network, describing the commissioning of its new sign…
Enhancing online estimation of CBC parameters with the low-latency MBTA analysis
Florian Aubin, Inès Bentara, Damir Buskulic +9
In this paper, we describe the procedure implemented in the Multi-Band Template Analysis (MBTA) search pipeline to produce online posterior distributions of compact binary coalesce…
Machine Learning to assess astrophysical origin of gravitational waves triggers
Lorenzo Mobilia, Gianluca Maria Guidi
In this work, we explore a possible application of a machine learning classifier for candidate events in a template-based search for gravitational-wave (GW) signals from various co…
Deep Learning Search for Gravitational Waves from Compact Binary Coalescence
Lorenzo Mobilia, Tito Dal Canton, Gianluca Maria Guidi
Gravitational wave searches rely on a combination of methods, including matched filtering, coherent analyses, and more recent machine learning based pipelines. For compact binary c…
The MBTA Pipeline for Detecting Compact Binary Coalescences in the Fourth LIGO-Virgo-KAGRA Observing Run
Christopher Alléné, Florian Aubin, Inès Bentara +10
In this paper, we describe the Multi-Band Template Analysis (MBTA) search pipeline dedicated to the detection of compact binary coalescence (CBC) gravitational wave signals from th…