3 papers
gr-qc2026
A parametric signal plus noise inference framework for short duration non-Gaussian noise transients
Charlie Hoy, Ruxandra Bondarescu, Andrew Lundgren +1
Gravitational waves are now routinely detected with ground-based observatories, and, through a process known as Bayesian inference, their source properties are inferred. However, t…
gr-qc2023
Revisiting the evidence for precession in GW200129 with machine learning noise mitigation
Ronaldas Macas, Andrew Lundgren, Gregory Ashton
GW200129 is claimed to be the first-ever observation of the spin-disk orbital precession detected with gravitational waves (GWs) from an individual binary system. However, this cla…
gr-qc2023
Antiglitch: a Quasi-physical Model for Removing Short Glitches from LIGO and Virgo Data
Ruxandra Bondarescu, Andrew Lundgren, Ronaldas Macas
Gravitational-wave observatories become more sensitive with each observing run, increasing the number of detected gravitational-wave signals. A limiting factor in identifying these…