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Coherence analysis for DAS data

Issah, Abdul Hafiz
; 
Martin, Eileen
; 
Tenorio, Luis
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2026-01-28
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Software & Computer Programs - Geophysics
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coherence_analysis.zip
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https://hdl.handle.net/11124/181505
 https://doi.org/10.25676/11124/181505
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Abstract
Distributed Acoustic Sensing (DAS) has properties like low maintenance and cost that make it an attractive method for large-scale seismic monitoring. It often produces a lot of data, and there has been a lot of effort recently towards solutions that help manage the problems that arise as a result. The codes provided here use coherence analysis, which works under the assumption that coherent signals are picked up by multiple sensors, to identify regions in these massive datasets that might contain interesting signals.
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