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MSNoise

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Journal Article
Published: 01 May 2014
Seismological Research Letters (2014) 85 (3): 715–726.
... allows decimation by integer factors, whereas the downsampling supports any factor which allows the usage of heterogeneous station configurations. Decimation/Downsampling are configurable, and users are advised to test both. The resampling method used in MSNoise comes from the audio world and provides...
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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
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: 24 January 2023
The Seismic Record (2023) 3 (1): 12–20.
... waveforms. We use the MSNoise software ( Lecocq et al. , 2014 ) for computing the noise cross‐correlation functions and measuring the seismic velocity changes. Following Clarke et al. (2011) , we excluded cross correlations with an average signal‐to‐noise ratio below two. Single‐day cross correlations...
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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.
... broadband components used. In the preprocessing process, we eliminate single spikes. Upon data collection, a band‐pass filter between 0.01 and 8.0 Hz is applied, and the data are finally resampled to 20 Hz. Following the guidelines proposed in MSNOISE software ( Lecocq et al. , 2014 ) used in this work...
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Journal Article
Published: 11 December 2018
Bulletin of the Seismological Society of America (2019) 109 (1): 424–432.
... deviation of each other for all three multicomponent surface seismometers. The mean of the standard deviations for ASN‐based estimates is 5° and 7° for P ‐wave polarization estimates. We use MSNoise ( Lecocq et al. , 2014 ) to compute CCFs that estimate the Green’s tensor G i j from...
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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 September 2017
South African Journal of Geology (2017) 120 (3): 341–350.
... preparation or preprocessing, cross-correlation, stacking, frequency-time analysis (dispersion curve measurement), tomographic inversion, 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...
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Journal Article
Published: 26 September 2018
Seismological Research Letters (2018) 89 (6): 2413–2419.
... years its large ecosystem of high‐quality scientific third‐party packages have 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...
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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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Journal Article
Published: 01 July 2014
Seismological Research Letters (2014) 85 (4): 905–911.
.... , 2010 ; 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...
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Journal Article
Published: 22 June 2023
Bulletin of the Seismological Society of America (2023) 113 (5): 2069–2076.
... 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. , 2011 ; Lecocq et al. , 2014 ). In brief, day‐long vertical records were downsampled to 20 Hz, demeaned...
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Journal Article
Published: 01 May 2019
Seismological Research Letters (2019) 90 (4): 1663–1669.
... is done per station, and correlation and denoising operations are done per station pair. ObsPy ( Krischer et al. , 2015 ) and MSNoise ( Lecocq et al. , 2014 ) are open‐source packages for Python that are excellent for proof‐of‐concept studies and often sufficient for preprocessing. Compiled programming...
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Journal Article
Published: 26 April 2022
Seismological Research Letters (2022) 93 (4): 2377–2388.
... al. , 2019 ; Wang et al. , 2019 ). We have computed noise cross‐correlation functions for pairs of nodal 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...
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