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MSNoise

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Journal Article
Published: 01 May 2014
Seismological Research Letters (2014) 85 (3): 715–726.
...Thomas Lecocq; Corentin Caudron; Florent Brenguier The original goal of MSNoise is to provide δv / v plots over time. These data can be represented as several plots, one per station pair, one average for all station pairs, etc. MSNoise comes with several example plots that one can...
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(a) NoisePy performance on computing cross‐correlation functions and (b) be...
Published: 01 April 2020
Figure 6. (a) NoisePy performance on computing cross‐correlation functions and (b) benchmark with MSNoise. (a) Strong scaling of NoisePy, such that the compute time is inversely proportional to the number of cores with a slope close to − 1 . In the benchmark, NoisePy and MSNoise process
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Schematic view of the <span class="search-highlight">MSNoise</span> workflow, the one‐time installation part ente...
Published: 01 May 2014
Figure 1. Schematic view of the MSNoise workflow, the one‐time installation part enters the routine workflow before the job definition step.
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Comparison of the detrended  δv &#x2F; v  results obtained using <span class="search-highlight">MSNoise</span> for fiv...
Published: 01 May 2014
Figure 8. Comparison of the detrended δv / v results obtained using MSNoise for five different moving‐window stacks (1, 2, 5, 10, and 30 days) without forcing the slope estimate to cross the origin (equation 10) in the δt / t estimation process. Eruptions of the Piton de la Fournaise
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Time series of    δ  v  /  v    obtained from optimal stretch factors for t...
Published: 08 March 2023
Figure 7. Time series of δ v / v obtained from optimal stretch factors for the 50 s window of coda and using the cross‐spectral moving window techniques (CSMWT) capabilities included in MSNoise. The Pearson correlation coefficient ( r ) is indicated in the upper right. The color version
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50 s causal BNB:DIB waveform sections. (a) Raw section. (b) Section stretch...
Published: 08 March 2023
Figure 8. 50 s causal BNB:DIB waveform sections. (a) Raw section. (b) Section stretched using optimal stretch factors. (c) Section stretched using δ v / v determined from CSMWT data by MSNoise. Φ is indicated above each plot. Colors are mapped to unit‐normalized waveforms
Journal Article
Published: 01 April 2020
Seismological Research Letters (2020) 91 (3): 1853–1866.
...Figure 6. (a) NoisePy performance on computing cross‐correlation functions and (b) benchmark with MSNoise. (a) Strong scaling of NoisePy, such that the compute time is inversely proportional to the number of cores with a slope close to − 1 . In the benchmark, NoisePy and MSNoise process...
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Journal Article
Published: 24 January 2023
The Seismic Record (2023) 3 (1): 12–20.
... sensitivity to shallower changes (S6). Once the seismograms have been preprocessed, stations are cross correlated and autocorrelated in 1 hr segments, stacked into daily average functions, and saved as 4 min long waveforms. We use the MSNoise software ( Lecocq et al. , 2014 ) for computing the noise...
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Journal Article
Journal: The Leading Edge
Published: 01 December 2017
The Leading Edge (2017) 36 (12): 1009–1017.
... package MSNoise was used to compute crosscorrelations and measure changes in velocity between each time period relative to the initial (prestimulation) time period. The majority of channel pairs showed a velocity reduction (average −3% relative velocity change) following both stimulations. We used a 3D...
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Journal Article
Published: 08 March 2023
Bulletin of the Seismological Society of America (2023) 113 (3): 1077–1090.
...Figure 7. Time series of δ v / v obtained from optimal stretch factors for the 50 s window of coda and using the cross‐spectral moving window techniques (CSMWT) capabilities included in MSNoise. The Pearson correlation coefficient ( r ) is indicated in the upper right. The color version...
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Journal Article
Published: 05 January 2024
The Seismic Record (2024) 4 (1): 11–20.
... to maintaining all work activities and operational services, which served to provide authorities and news media with information and advice of the highest quality during the Cumbre Vieja eruption. The authors thank Thomas Lecocq for the provided guidance with MSNoise software. The authors sincerely acknowledge...
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Journal Article
Published: 11 December 2018
Bulletin of the Seismological Society of America (2019) 109 (1): 424–432.
... on the structure of the lithosphere beneath the AVF and contribute to our understanding of structural controls on eruptions. We use MSNoise ( Lecocq et al. , 2014 ) to compute CCFs that estimate the Green’s tensor G i j from seismic data from 200 days of data between 6 February and 15 September...
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Journal Article
Published: 01 September 2017
South African Journal of Geology (2017) 120 (3): 341–350.
..., and error analysis (resolution testing). The first 3 steps are discussed at length by Bensen et al. (2007) , and were done using the MSNoise software ( Lecocq et al. 2014 ). The next 3 steps were done using MSNoise-TOMO. For all stations (ArrayA and ArrayB) the raw waveforms are divided into daily...
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Journal Article
Published: 26 September 2018
Seismological Research Letters (2018) 89 (6): 2413–2419.
... been established as one of the most widely used languages across all sciences ( Perkel, 2015 ). Available packages in seismology include the widely used ObsPy library, MSNoise ( Lecocq et al. , 2014 ), and many others (e.g., MacCarthy and Rowe, 2014 ; Krischer, Fichtner, et al. , 2015 ; van Driel...
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Journal Article
Published: 31 May 2017
Seismological Research Letters (2017) 88 (4): 1141–1145.
... using the high‐level programming language Python; for example, Whisper ( Briand et al. , 2013 ) and MSNoise ( Lecocq et al. , 2014 ). Although Python eases development and is therefore suitable for working on new seismological concepts, a compiled language is clearly more suitable to harness...
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Example delay, error, phase coherence, data selection, and delay time varia...
Published: 01 May 2014
is the central time lag of the moving windows in the MWCS process. Each matrix has its own color scale. The bottom line of the matrices is the filtered column weighted average (see text for details) and is called “ALL” within MSNoise. The “ALL” line is only calculated between ‐left_maxlag:‐left_minlag
Journal Article
Published: 01 July 2014
Seismological Research Letters (2014) 85 (4): 905–911.
... ; Megies et al. , 2011 ), AIMBAT ( Lou et al. , 2013 ), MSNoise and pyTDMT (see Data and Resources ), and the SciPy Stack (e.g., Jones et al. , 2001 ; Hunter, 2007 ; Oliphant, 2007 ; Pérez and Granger, 2007 ), the Python ecosystem is a desirable research environment. Many of these high‐level...
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Journal Article
Published: 22 June 2023
Bulletin of the Seismological Society of America (2023) 113 (5): 2069–2076.
... with the vast majority of our stations being within 15 km of each other. We examine d v / v from the onset of public data availability of the full dataset in January 2016 to the end of 2017 using the MSNoise software package following the previous methodologies ( Brenguier et al. , 2008 ; Clarke et al...
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Journal Article
Published: 26 April 2022
Seismological Research Letters (2022) 93 (4): 2377–2388.
... stations with the MSNoise software ( Lecocq et al. , 2014 ). This noise cross‐correlation procedure is identical to previous works ( Taira et al. , 2015 , 2018 ), and is applied to all available data collected from the current experiment. We also included seismic data from BK.BRK and BK.BKS...
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Journal Article
Published: 01 May 2019
Seismological Research Letters (2019) 90 (4): 1663–1669.
.... , and Wassermann J. 2015 . ObsPy: A bridge for seismology into the scientific Python ecosystem , Comput. Sci. Disc. 8 , no.  1 , 014003 , doi: 10.1088/1749-4699/8/1/014003 . Lecocq T. Caudron C. , and Brenguier F. 2014 . MSNoise, a Python package for monitoring seismic velocity...
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