4 papers
ArchGEM: an Advanced Data Analysis Tool for Analyzing Scattered Light Noise in LIGO
Kaylah McGowan, Shania Nichols, Siddharth Soni +4
Scattered light is one of the most common sources of non-stationary noise at low frequencies in Advanced LIGO detectors. It appears as arch-like features in time-frequency spectrog…
GW-YOLO: Multi-transient segmentation in LIGO using computer vision
Siddharth Soni, Nikhil Mukund, Erik Katsavounidis
Time series data and their time-frequency representation from gravitational-wave interferometers present multiple opportunities for the use of artificial intelligence methods assoc…
Coherence DeepClean: Toward autonomous denoising of gravitational-wave detector data
Christina Reissel, Siddharth Soni, Muhammed Saleem +3
Technical and environmental noise in ground-based laser interferometers designed for gravitational-wave observations like Advanced LIGO, Advanced Virgo and KAGRA, can manifest as n…
A machine learning-enabled search for binary black hole mergers in LIGO-Virgo-KAGRAs third observing run
Ethan Marx, William Benoit, Trevor Blodgett +8
We conduct a search for stellar-mass binary black hole mergers in gravitational-wave data collected by the LIGO detectors during the LIGO-Virgo-KAGRA (LVK) third observing run (O3)…