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Scalable matched-filtering pipeline for gravitational-wave searches of compact binary mergers
Yun-Jing Huang, Chad Hanna, Becca Ewing +11
As gravitational-wave observations expand in scope and detection rate, the data analysis infrastructure must be modernized to accommodate rising computational demands and ensure su…
GWSkyNet II : a refined machine learning pipeline for real-time classification of public gravitational wave alerts
Man Leong Chan, Jess McIver, Ashish Mahabal +12
Electromagnetic follow-up observations of gravitational wave events offer critical insights and provide significant scientific gain from this new class of astrophysical transients.…
Searching for asymmetric and heavily precessing Binary Black Holes in the gravitational wave data from the LIGO and Virgo third Observing Run
Stefano Schmidt, Sarah Caudill, Jolien D. E. Creighton +37
Leveraging the features of the GstLAL pipeline, we present the results of a matched filtering search for asymmetric binary black hole systems with heavily misaligned spins in LIGO…
Searching for gravitational-wave signals from precessing black hole binaries with the GstLAL pipeline
Stefano Schmidt, Sarah Caudill, Jolien D. E. Creighton +36
Precession in Binary Black Holes (BBH) is caused by the failure of the Black Hole spins to be aligned and its study can open up new perspectives in gravitational waves (GW) astrono…