104 citations · 170 across the 20 of their papers we have counts for
15 papers · 1 filter
Gravitational-wave parameter estimation with machine-learning generated surrogate waveforms
Suyog Garg, Kipp Cannon
The worldwide network of gravitational-wave detectors have detected more than 350 binary coalescence events till date. Future third-generation detectors, like Einstein telescope, a…
GstLAL O4 Online Results Paper
Shomik Adhicary, Pratyusava Baral, Amanda Baylor +39
Gravitational-wave observations of merging binary neutron stars and black holes are now routinely made by detectors in the Advanced LIGO-Virgo-KAGRA network. Neutron star binary sy…
GW070605: An Undisclosed Binary Neutron Star Hardware Injection in LIGO's Fifth Science Run
Heather Fong, Kipp Cannon, Chi-Wai Chan +7
The authors wished to document the sensitivity improvement that has been contributed to the GW detection rate by detection algorithm research and development efforts, and set about…
Hybrid algorithm combining matched filtering and convolutional neural networks for searching gravitational waves from binary black hole mergers
Takahiro S. Yamamoto, Kipp Cannon, Hayato Motohashi +1
Efficient searches for gravitational waves from compact binary coalescence are crucial for gravitational wave observations. We present a proof-of-concept for a method that utilizes…
Auto-encoder model for faster generation of effective one-body gravitational waveform approximations
Suyog Garg, Feng-Li Lin, Kipp Cannon
Upgrades to current gravitational wave detectors for the next observation run and upcoming third-generation observatories, like the Einstein telescope, are expected to have enormou…
Observational constraints on the nonlinear regime of gravity with a parametrized beyond-GR gravitational waveform model
Daiki Watarai, Atsushi Nishizawa, Hiroki Takeda +2
Gravitational waves from compact binary coalescences provide unique opportunities to test general relativity (GR) in the strong-field regime. In particular, the merger phase, durin…