6 citations · 10 across the 4 of their papers we have counts for
4 papers
Time-Domain Synthesis of Gravitational-Wave Detector Glitches using Class-Conditional Derivative Generative Adversarial Networks
Tom Dooney, Mees de Boer, Harsh Narola +4
Gravitational-wave detectors such as LIGO, Virgo, and KAGRA are highly sensitive instruments susceptible to many noise sources. Short-duration transient noise events, known as glit…
Null Stream Based Third-generation-ready Glitch Mitigation for Gravitational Wave Measurements
Harsh Narola, Thibeau Wouters, Luca Negri +10
Gravitational Wave (GW) detectors routinely encounter transient noise bursts, known as glitches, which are caused by either instrumental or environmental factors. Due to their high…
Improving early detection of gravitational waves from binary neutron stars using CNNs and FPGAs
Ana Martins, Melissa Lopez, Quirijn Meijer +4
The detection of gravitational waves (GWs) from binary neutron stars (BNSs) with possible telescope follow-ups opens a window to ground-breaking discoveries in the field of multi-m…
cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation
Tom Dooney, Lyana Curier, Daniel Tan +3
Simulating realistic time-domain observations of gravitational waves (GWs) and GW detector glitches can help in advancing GW data analysis. Simulated data can be used in downstream…