Author:
Akhshi A.,Alimohammadi H.,Baghram S.,Rahvar S.,Tabar M. Reza Rahimi,Arfaei H.
Abstract
AbstractWe develop a general data-driven and template-free method for the extraction of event waveforms in the presence of background noise. Recent gravitational-wave observations provide one of the significant scientific areas requiring data analysis and waveform extraction capability. We use our method to find the waveforms for the reported events from the first, second, and third LIGO observation runs (O1, O2, and O3). Using the instantaneous frequencies derived by the Hilbert transform of the extracted waveforms, we provide the physical time delays between the arrivals of gravitational waves to the detectors.
Funder
Carl von Ossietzky Universität Oldenburg
Publisher
Springer Science and Business Media LLC
Reference69 articles.
1. Einstein, A. Näherungsweise. Integration der Feldgleichungen der Gravitation, 688–696 (Sitzungsberichte der Königlich Preußischen Akademie der Wissenschaften, 1916).
2. Friedrich, R., Peinke, J., Sahimi, M. & Tabar, M. R. R. Approaching complexity by stochastic methods: From biological systems to turbulence. Phys. Rep. 506, 87–162 (2011).
3. Rahimi Tabar, M. R. Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems: Using the Methods of Stochastic Processes (Springer, 2019).
4. Peinke, J., Tabar, M. & Wächter, M. The Fokker–Planck approach to complex spatiotemporal disordered systems. Annu. Rev. Condens. Matter Phys. 10, 107–132. https://doi.org/10.1146/annurev-conmatphys-033117-054252 (2019).
5. Ephraim, Y. & Malah, D. Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator. IEEE Trans. Acoust. Speech. Signal Process. 32, 1109–1121 (1984).
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献