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. 2024 Jul 30;3(2):10.26443/seismica.v3i2.1184.
doi: 10.26443/seismica.v3i2.1184.

DASCore: a Python Library for Distributed Fiber Optic Sensing

Derrick Chambers  1 , Ge Jin  2 , Ahmad Tourei  2 , Abdul Hafiz Saeed Issah  3 , Ariel Lellouch  4 , Eileen R Martin  2   3 , Donglin Zhu  2 , Aaron J Girard  2 , Shihao Yuan  2 , Thomas Cullison  5 , Tomas Snyder  2 , Seunghoo Kim  2   5 , Nicholas Danes  6 , Nikhil Punithan  2 , M Shawn Boltz  1 , Manuel M Mendoza  7
Affiliations

DASCore: a Python Library for Distributed Fiber Optic Sensing

Derrick Chambers et al. Seismica. .

Abstract

In the past decade, distributed acoustic sensing (DAS) has enabled many new monitoring applications in diverse fields including hydrocarbon exploration and extraction; induced, local, regional, and global seismology; infrastructure and urban monitoring; and several others. However, to date, the open-source software ecosystem for handling DAS data is relatively immature. Here we introduce DASCore, a Python library for analyzing, visualizing, and managing DAS data. DASCore implements an object-oriented interface for performing common data processing and transformations, reading and writing various DAS file types, creating simple visualizations, and managing file system-based DAS archives. DASCore also integrates with other Python-based tools which enable the processing of massive data sets in cloud environments. DASCore is the foundational package for the broader DAS data analysis ecosystem (DASDAE), and as such its main goal is to facilitate the development of other DAS libraries and applications.

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Conflict of interest statement

Competing interests The authors declare no competing interests and have fully disclosed all financial support for this project.

Figures

Figure 1
Figure 1
DASCore’s Patch and Spool and some of their associated methods. See text for details.
Figure 2
Figure 2
Waterfall (left) and wiggle (right) plots produced by Listing 2.
See this image and copyright information in PMC

References

    1. Alted F and Fernández-Alonso M PyTables: processing and analyzing extremely large amounts of data in Python. PyCon2003. April, pages 1–9, 2003.
    1. Bauer PC and Landesvatter C Writing a reproducible paper with RStudio and Quarto. 2023. doi: 10.31219/osf.io/ur4xn. - DOI
    1. Bloch W and Audet P PyRaysum: Software for Modeling Ray-theoretical Plane Body-wave Propagation in Dipping Anisotropic Media. Seismica, 2(1), 2023. doi: 10.26443/seismica.v2i1.220. - DOI
    1. Bueno A, Zuccarello L, Díaz-Moreno A, Woollam J, Titos M, Benítez C, Álvarez I, Prudencio J, and De Angelis S PICOSS: Python interface for the classification of seismic signals. Computers & geosciences, 142:104531, 2020. doi: 10.1016/j.cageo.2020.104531. - DOI
    1. Chamberlain CJ, Hopp CJ, Boese CM, Warren-Smith E, Chambers D, Chu SX, Michailos K, and Townend J EQ-corrscan: Repeating and near-repeating earthquake detection and analysis in Python. Seismological Research Letters, 89(1): 173–181, 2018. doi: 10.1785/0220170151. - DOI

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