Broadband Empirical Green’s Function Extraction With Data Adaptive Phase Correlations

17 pages, 11 figures, 2 appendixes.-- The data used in this study were obtained from the Incorporated Research Institutions of Seismology (IRIS) and the European Integrated Data Archive (EIDA). The CPU and GPU accelerated versions of code implementing CC1b,PCC and WPCC, and the two-stage ts-PWS are open source under the LGPL v3 license and available at https://github.com/sergiventosa/FastPCC, and at https://github.com/sergiventosa/ ts-PWS.-- © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Bibliographic Details

Main Authors:	Ventosa, Sergio, Schimmel, Martin
Other Authors:	Ministerio de Ciencia, Innovación y Universidades (España)
Format:	artículo biblioteca
Language:	English
Published:	Institute of Electrical and Electronics Engineers 2023-07
Subjects:	Seismology, Seismic noise, Interferometry, Surface waves and free oscillations, Computational seismology, Wavelet transforms, Group velocity,
Online Access:	http://hdl.handle.net/10261/334303
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