104 citations · 170 across the 20 of their papers we have counts for
20 papers
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…
Method to get Better Sky Maps in a GstLAL Low-Latency Analysis
Prathamesh Joshi, Becca Ewing, Chad Hanna +40
Modeled gravitational wave searches correlate the strain data with a bank of gravitational wave template waveforms to make detections of gravitational wave candidates, and these re…
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…
Estimation of the Hubble parameter from unedited compact object merger catalogues
Reiko Harada, Heather Fong, Kipp Cannon
In recent years, constraints on the Hubble parameter using multiple dark sirens have been made,relying on a galaxy catalogue, correlations between the mass and redshift distributio…