6 papers
Coalescing Compact Binary Parameter Estimation with Gravitational Waves in the Presence of non-Gaussian Transient Noise
Yannick Lecoeuche, Jess McIver, Alan M. Knee +7
Data from gravitational-wave (GW) detectors often contains a high rate of non-Gaussian transient noise, known as glitches. The parameters estimated from GW signals coinciding with…
Inferring the spins of merging black holes in the presence of data-quality issues
Rhiannon Udall, Sophie Bini, Katerina Chatziioannou +5
Gravitational waves from black hole binary mergers carry information about the component spins, but inference is sensitive to analysis assumptions, which may be broken by terrestri…
LensingFlow: An Automated Workflow for Gravitational Wave Lensing Analyses
Mick Wright, Justin Janquart, Paolo Cremonese +18
In this work, we present LensingFlow. This is an implementation of an automated workflow to search for evidence of gravitational lensing in a large series of gravitational wave eve…
Mitigating the impact of noise transients in gravitational-wave searches using reduced basis timeseries and convolutional neural networks
Ryan Magee, Ritwik Sharma, Ananya Agrawal +1
Gravitational-wave detection pipelines have helped to identify over one hundred compact binary mergers in the data collected by the Advanced LIGO and Advanced Virgo interferometers…
The anti-aligned spin of GW191109: glitch mitigation and its implications
Rhiannon Udall, Sophie Hourihane, Simona Miller +4
With a high total mass and an inferred effective spin anti-aligned with the orbital axis at the 99.9% level, GW191109 is one of the most promising candidates for a dynamical format…
LIGO Detector Characterization in the first half of the fourth Observing run
S. Soni, B. K. Berger, D. Davis +232
Progress in gravitational-wave astronomy depends upon having sensitive detectors with good data quality. Since the end of the LIGO-Virgo-KAGRA third Observing run in March 2020, de…