7 papers
Black Hole Binary Detection Landscape for the Laser Interferometer Lunar Antenna (LILA): Signal-to-Noise Calculations & Science Cases
Tintin Nguyen, Anjali Yelikar, Ryan Nowicki +2
The Laser Interferometer Lunar Antenna (LILA) is a proposed gravitational-wave project aiming to take full advantage of the Moon's environment to access the deci-Hz band and detect…
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…
The Sound of Noise: Leveraging the Inductive Bias of Pre-trained Audio Transformers for Glitch Identification in LIGO
Suyash Deshmukh, Chayan Chatterjee, Abigail Petulante +2
Transient noise artifacts, or glitches, fundamentally limit the sensitivity of gravitational-wave (GW) interferometers and can mimic true astrophysical signals, particularly the sh…
Cosmological Budget of Entropy from Merging Black Holes
Siyuan Chen, Karan Jani, Thomas W. Kephart
Black holes contain more entropy than any other component of the observable universe. Gravitational-wave observations from LIGO and Virgo have shown evidence of a previously unknow…
Machine Learning Confirms GW231123 is a "Lite" Intermediate Mass Black Hole Merger
Chayan Chatterjee, Kaylah McGowan, Suyash Deshmukh +1
The LIGO-Virgo-KAGRA Collaboration recently reported GW231123, a black hole merger with total mass of around 190-265 solar mass. This event adds to the growing evidence of "lite" i…
Pre-trained Audio Transformer as a Foundational AI Tool for Gravitational Waves
Chayan Chatterjee, Abigail Petulante, Karan Jani +7
As gravitational wave detectors become more advanced and sensitive, the number of signals recorded by Advanced LIGO and Virgo from merging compact objects is expected to rise drama…