107 citations · 400 across the 18 of their papers we have counts for
11 papers · 1 filter
Virgo Detector Characterization and Data Quality: tools
F. Acernese, M. Agathos, A. Ain +491
Detector characterization and data quality studies -- collectively referred to as {\em DetChar} activities in this article -- are paramount to the scientific exploitation of the jo…
Virgo Detector Characterization and Data Quality: results from the O3 run
F. Acernese, M. Agathos, A. Ain +491
The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected gravitational-wave (GW) signals in the past few years, alongside the two Adv…
Detection of Gravitational Wave Signals from Precessing Binary Black Hole Systems using Convolutional Neural Network
Chetan Verma, Amit Reza, Gurudatt Gaur +2
Current searches for gravitational waves (GWs) from black hole binaries using the LIGO and Virgo observatories are limited to analytical models for systems with black hole spins al…
Virgo Detector Characterization and Data Quality during the O3 run
F. Acernese, M. Agathos, A. Ain +491
The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected gravitational-wave signals in the past few years, alongside the two LIGO ins…
The Virgo O3 run and the impact of the environment
F. Acernese, M. Agathos, A. Ain +486
Sources of geophysical noise (such as wind, sea waves and earthquakes) or of anthropogenic noise impact ground-based gravitational-wave interferometric detectors, causing transient…
Employing Deep Learning for Detection of Gravitational Waves from Compact Binary Coalescences
Chetan Verma, Amit Reza, Dilip Krishnaswamy +2
The matched filtering paradigm is the mainstay of gravitational wave (GW) searches from astrophysical coalescing compact binaries. The compact binary coalescence (CBC) search pipel…
Detecting the early inspiral of a gravitational-wave signal with convolutional neural networks
Grégory Baltus, Justin Janquart, Melissa Lopez +3
We introduce a novel methodology for the operation of an early %warning alert system for gravitational waves. It is based on short convolutional neural networks. We focus on compac…
Convolutional neural networks for the detection of the early inspiral of a gravitational-wave signal
Gregory Baltus, Justin Janquart, Melissa Lopez +3
GW170817 has led to the first example of multi-messenger astronomy with observations from gravitational wave interferometers and electromagnetic telescopes combined to characterise…
Random projections in gravitational-wave searches from compact binaries II: efficient reconstruction of the detection statistic
Amit Reza, Anirban Dasgupta, Anand S. Sengupta
Low-latency gravitational wave search pipelines such as GstLAL take advantage of low-rank factorization of the template matrix via singular value decomposition (SVD). With unpreced…
Fast evaluation of multi-detector consistency for real-time gravitational wave searches
Chad Hanna, Sarah Caudill, Cody Messick +17
Gravitational waves searches for compact binary mergers with LIGO and Virgo are presently a two stage process. First, a gravitational wave signal is identified. Then, an exhaustive…
Random projections in gravitational wave searches of compact binaries
Sumeet Kulkarni, Khun Sang Phukon, Amit Reza +4
Random projection (RP) is a powerful dimension reduction technique widely used in the analysis of high dimensional data. We demonstrate how this technique can be used to improve th…