Speedy detection of gravitational waves from binary black gap mergers utilizing sparse dictionarylearning
Authors: Charles Badger, Rahul Srinivasan, Alejandro Torres-Forné, Marie Anne Bizouard, José A. Font, Mairi Sakellariadou, Astrid Lamberts
Summary: Present gravitational wave (GW) detection pipelines for compact binary coalescence based mostly on matched-filtering have reported over 90 assured detections in the course of the first three observing runs of the LIGO-Virgo-KAGRA (LVK) detector community. Lowering the latency of detection, particularly for future detectors anticipated to have excessive detection charges, stays an ongoing effort. On this paper, we develop and check a sparse dictionary studying (SDL) algorithm for the speedy detection of GWs. We consider the algorithms biases and estimate its GW detection charge for an astrophysical inhabitants of binary black holes. The SDL algorithm is assessed utilizing each, simulated knowledge injected into the proposed A+ detector sensitivity and actual knowledge containing assured detections from the third LVK observing run. We discover that our SDL algorithm can reconstruct a single binary black gap sign in lower than 1 s. This means that SDL may very well be thought to be a promising method for speedy, environment friendly GW detection in future observing runs of ground-based detectors