6 papers · 1 filter
Neural Network Guided Parameter Space Constraints for Gravitational Wave Searches from Binary Black Holes
Chetan Verma, Amit Reza, Gurudatt Gaur +2
The detection of gravitational waves (GWs) from compact binary coalescences (CBCs) using matched filtering is computationally demanding because detector data must be correlated wit…
Open Data from LIGO, Virgo, and KAGRA through the Second Part of the Fourth Observing Run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1809
LIGO, Virgo, KAGRA, and GEO 600 form a network of gravitational-wave observatories. Data and analysis results from this network are made publicly available through the Gravitationa…
GstLAL O4 Online Results Paper
Shomik Adhicary, Pratyusava Baral, Amanda Baylor +39
Gravitational-wave observations of merging binary neutron stars and black holes are now routinely made by detectors in the Advanced LIGO-Virgo-KAGRA network. Neutron star binary sy…
New Methods for Offline GstLAL Analyses
Prathamesh Joshi, Leo Tsukada, Chad Hanna +38
In this work, we present new methods implemented in the GstLAL offline gravitational wave search. These include a technique to reuse the matched filtering data products from a GstL…
Robustness of Deep Learning Models to Precession in Gravitational-Wave Searches for Intermediate-Mass Black Hole Binaries
Quirijn Meijer, Marc van der Sluys, Sarah Caudill
Gravitational-wave searches for signals of intermediate-mass black hole binaries are hindered by detector glitches, as the increased masses from stellar-mass systems hinder current…
Fast Waveform Generation for Gravitational Waves using Evolutionary Algorithms
Quirijn Meijer, Sarah Caudill
Gravitational-wave analyses depend heavily on waveforms that model the evolution of compact binary coalescences as seen by observing detectors. In many cases these waveforms are gi…