DASCore: a Python Library for Distributed Fiber Optic Sensing.

Autor:	Chambers D; Spokane Mining Research Division, National Institute for Occupational Safety and Health, Spokane, USA., Jin G; Department of Geophysics, Colorado School of Mines, Golden, USA., Tourei A; Department of Geophysics, Colorado School of Mines, Golden, USA., Issah AHS; Department of Applied Math and Statistics, Colorado School of Mines, Golden, USA., Lellouch A; Geophysics Department, Tel Aviv University, Tel-Aviv Jaffa, Israel., Martin ER; Department of Geophysics, Colorado School of Mines, Golden, USA.; Department of Applied Math and Statistics, Colorado School of Mines, Golden, USA., Zhu D; Department of Geophysics, Colorado School of Mines, Golden, USA., Girard AJ; Department of Geophysics, Colorado School of Mines, Golden, USA., Yuan S; Department of Geophysics, Colorado School of Mines, Golden, USA., Cullison T; Department of Geophysics, Stanford University, Stanford, USA., Snyder T; Department of Geophysics, Colorado School of Mines, Golden, USA., Kim S; Department of Geophysics, Colorado School of Mines, Golden, USA.; Department of Geophysics, Stanford University, Stanford, USA., Danes N; Cyber Infrastructure and Advanced Research Computing, Colorado School of Mines, Golden, USA., Punithan N; Department of Geophysics, Colorado School of Mines, Golden, USA., Shawn Boltz M; Spokane Mining Research Division, National Institute for Occupational Safety and Health, Spokane, USA., Mendoza MM; Cooperative Institute for Research in Environmental Sciences and Department of Geological Sciences, University of Colorado Boulder, Boulder, CO, USA.
Jazyk:	angličtina
Zdroj:	Seismica [Seismica] 2024 Jul 30; Vol. 3 (2).
DOI:	10.26443/seismica.v3i2.1184
Abstrakt:	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. Competing Interests: Competing interests The authors declare no competing interests and have fully disclosed all financial support for this project.
Databáze:	MEDLINE
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