Please use this identifier to cite or link to this item:
Authors: Díaz-Moreno, A.* 
Koulakov, I.* 
García-Yeguas, A.* 
Jakovlev, A.* 
Barberi, G.* 
Cocina, O.* 
Zuccarello, L.* 
Scarfì, L.* 
Patanè, D.* 
Álvarez, I.* 
Garcìa, L.* 
Benìtez, C.* 
Prudencio, J.* 
Ibáñez, J. M.* 
Title: PARTOS - Passive and Active Ray TOmography Software: description and preliminary analysis using TOMO-ETNA experiment’s dataset.
Journal: Annals of Geophysics 
Series/Report no.: /59 (2016)
Issue Date: Jun-2016
DOI: 10.4401/ag-7088
Keywords: Seismic tomograpy
Tomographic inversion code
Mt. Etna volcano
Subject Classification04. Solid Earth::04.06. Seismology::04.06.07. Tomography and anisotropy 
Abstract: In this manuscript we present the new friendly seismic tomography software based on joint inversion of active and passive seismic sources called PARTOS (Passive Active Ray TOmography Software). This code has been developed on the base of two well-known widely used tomographic algorithms (LOTOS and ATOM-3D), providing a robust set of algorithms. The dataset used to set and test the program has been provided by TOMO-ETNA experiment. TOMO-ETNA database is a large, highquality dataset that includes active and passive seismic sources recorded during a period of 4 months in 2014. We performed a series of synthetic tests in order to estimate the resolution and robustness of the solutions. Real data inversion has been carried out using 3 different subsets: (i) active data; (ii) passive data; and (iii) joint dataset. Active database is composed by a total of 16,950 air-gun shots during 1 month and passive database includes 452 local and regional earthquakes recorded during 4 months. This large dataset provides a high ray density within the study region. The combination of active and passive seismic data, together with the high quality of the database, permits to obtain a new tomographic approach of the region under study never done before. An additional user-guide of PARTOS software is provided in order to facilitate the implementation for new users.
Appears in Collections:Article published / in press

Files in This Item:
File Description SizeFormat
Moreno_Zuccarello_AnnalsOfGeophysics_2016.pdfMain Article4.54 MBAdobe PDFView/Open
Show full item record

Citations 50

checked on Feb 10, 2021

Page view(s)

checked on Feb 5, 2023

Download(s) 50

checked on Feb 5, 2023

Google ScholarTM