451 citations · 3.1k across the 46 of their papers we have counts for
7 papers · 1 filter
Rapid localization and inference on compact binary coalescences with the Advanced LIGO-Virgo-KAGRA gravitational-wave detector network
Soichiro Morisaki, Rory Smith, Leo Tsukada +4
We present a rapid parameter estimation framework for compact binary coalescence (CBC) signals observed by the LIGO-Virgo-KAGRA (LVK) detector network. The goal of our framework is…
The LIGO HET Response (LIGHETR) Project to Discover and Spectroscopically Follow Optical Transients Associated with Neutron Star Mergers
M. J. Bustamante-Rosell, Greg Zeimann, J. Craig Wheeler +20
The LIGO HET Response (LIGHETR) project is an enterprise to follow up optical transients (OT) discovered as gravitational wave merger sources by the LIGO/Virgo collaboration (LVC).…
Rogue echoes from exotic compact objects
Aaron Zimmerman, Richard N. George, Yanbei Chen
Binary systems containing exotic compact objects may emit repeated bursts of gravitational waves (GWs) following coalescence. Such GW echoes would provide a clear signature of new…
In Pursuit of Love: First Templated Search for Compact Objects with Large Tidal Deformabilities in the LIGO-Virgo Data
Horng Sheng Chia, Thomas D. P. Edwards, Digvijay Wadekar +6
We report results on the first matched-filtering search for binaries with compact objects having large tidal deformabilities in the LIGO-Virgo gravitational wave (GW) data. The tid…
Constraining intermediate-mass black holes from the stellar disc of SgrA*
Jean-Baptiste Fouvry, María José Bustamante-Rosell, Aaron Zimmerman
Stars evolving around a supermassive black hole see their orbital orientations diffuse efficiently, a process called "vector resonant relaxation". In particular, stars within the s…
Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences
Leo Tsukada, Prathamesh Joshi, Shomik Adhicary +37
Starting from May 2023, the LIGO Scientific, Virgo and KAGRA Collaboration is planning to conduct the fourth observing run with improved detector sensitivities and an expanded dete…
ripple: Differentiable and Hardware-Accelerated Waveforms for Gravitational Wave Data Analysis
Thomas D. P. Edwards, Kaze W. K. Wong, Kelvin K. H. Lam +4
We propose the use of automatic differentiation through the programming framework jax for accelerating a variety of analysis tasks throughout gravitational wave (GW) science. First…