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...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/334303 |
| Acceso en línea: | http://hdl.handle.net/10261/334303 |
| Access Level: | acceso abierto |
| Palabra clave: | Seismology Seismic noise Interferometry Surface waves and free oscillations Computational seismology Wavelet transforms Group velocity |
| Sumario: | 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 |
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