402 citations · 1.2k across the 50 of their papers we have counts for
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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…
What is the nature of GW230529? An exploration of the gravitational lensing hypothesis
Justin Janquart, David Keitel, Rico K. L. Lo +26
On the 29th of May 2023, the LIGO-Virgo-KAGRA Collaboration observed a compact binary coalescence event consistent with a neutron star-black hole merger, though the heavier object…
Constraining binary mergers in AGN disks using the non-observation of lensed gravitational waves
Samson H. W. Leong, Justin Janquart, Aditya Kumar Sharma +3
The dense and dynamic environments within active galactic nuclei (AGN) accretion disks may serve as prolific birthplaces for binary black holes (BBHs) and one possible origin for s…
Pre-Merger Detection and Characterization of Inspiraling Binary Neutron Stars Derived from Neural Posterior Estimation
Wouter van Straalen, Alex Kolmus, Justin Janquart +1
As the sensitivity of the international gravitational wave detector network increases, observing binary neutron star signals will become more common. Moreover, since these signals…
ler: LVK (LIGO-Virgo-KAGRA collaboration) event (compact-binary mergers) rate calculator and simulator
Hemantakumar Phurailatpam, Anupreeta More, Harsh Narola +6
ler is a Python package for simulating compact-binary gravitational-wave populations and estimating detectable event rates for current and future LIGO-Virgo-KAGRA detector networks…
Finding Black Holes: an Unconventional Multi-messenger
Laura E. Uronen, Tian Li, Justin Janquart +5
A rather clear problem has remained in black hole physics: localizing black holes. One of the recent theoretical ways proposed to identify black hole mergers' hosts is through mult…
Galaxy lens reconstruction based on strongly lensed gravitational waves: similarity transformation degeneracy and mass-sheet degeneracy
Jason S. C. Poon, Stefano Rinaldi, Justin Janquart +2
Gravitational wave (GW) galaxy lens reconstruction is a crucial step for many GW lensing science applications. However, dark siren GW lensing (i.e. lensed GW without observed elect…
Possible Causes of False General Relativity Violations in Gravitational Wave Observations
Anuradha Gupta, K. G. Arun, Enrico Barausse +40
General relativity (GR) has proven to be a highly successful theory of gravity since its inception. The theory has thrivingly passed numerous experimental tests, predominantly in w…
Tuning neural posterior estimation for gravitational wave inference
Alex Kolmus, Justin Janquart, Tomasz Baka +3
Modern simulation-based inference techniques use neural networks to solve inverse problems efficiently. One notable strategy is neural posterior estimation (NPE), wherein a neural…
Uncovering faint lensed gravitational-wave signals and reprioritizing their follow-up analysis using galaxy lensing forecasts with detected counterparts
Leo C. Y. Ng, Justin Janquart, Hemantakumar Phurailatpam +4
Like light, gravitational waves can be gravitationally lensed by massive astrophysical objects. Strong gravitational lensing by galaxies and galaxy clusters is anticipated to becom…
Effect of Deviations from General Relativity on Searches for Gravitational Wave Microlensing and Type II Strong Lensing
Mick Wright, Justin Janquart, Nathan K. Johnson-McDaniel
As the gravitational wave detector network is upgraded and the sensitivity of the detectors improves, novel scientific avenues open for exploration. For example, tests of general r…