1-20 OF 24 RESULTS FOR

MSNoise

Results shown limited to content with bounding coordinates.
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Article
Published: 01 May 2014
Seismological Research Letters (2014) 85 (3): 715–726.
...‐level helper functions in order to be pluggable and extensible. Finally, it must produce exportable data, either in waveform format, tabular text files, or high‐quality figures. This is the purpose of Monitoring using Seismic Noise (i.e., MSNoise). We do not want to provide another black box...
FIGURES | View All (8)
Image
(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
Image
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.
Image
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
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...
FIGURES | View All (6)
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...
FIGURES | View All (7)
Journal Article
Published: 11 December 2018
Bulletin of the Seismological Society of America (2019) 109 (1): 424–432.
... of seismic signals in all stations. 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 2014 ( Ensing et al. , 2017 ), cross correlating 1800 s time windows with a maximum...
FIGURES | View All (9)
Journal Article
Published: 01 September 2017
South African Journal of Geology (2017) 120 (3): 341–350.
...-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 ( Lecocq et al. 2014 ). The next 3 steps were done using MSNoise-TOMO...
FIGURES | View All (8)
Image
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: 26 September 2018
Seismological Research Letters (2018) 89 (6): 2413–2419.
..., highly expressive language, and in recent 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...
FIGURES
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...
FIGURES | View All (4)
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...
FIGURES | View All (10)
Journal Article
Published: 01 July 2014
Seismological Research Letters (2014) 85 (4): 905–911.
... and Michelini, 2013 ) and analysis tools like ObsPy ( Beyreuther et al. , 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...
FIGURES | View All (7)
Journal Article
Published: 27 April 2022
Seismological Research Letters (2022) 93 (4): 2201–2217.
... −104.3867 −82.6823 2343.5 The ambient seismic cross correlations among all the station pairs were computed using MSNoise ( Lecocq et al. , 2014 ). The continuous data were split into 400 s long windows with an overlap of 75%. The linear trend and the mean were subtracted from each window...
FIGURES | View All (9)
Journal Article
Published: 01 May 2019
Seismological Research Letters (2019) 90 (4): 1663–1669.
... operations subsequently applied. This is mainly because preprocessing 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...
FIGURES
Journal Article
Published: 19 November 2019
Bulletin of the Seismological Society of America (2020) 110 (1): 110–126.
... deployment). For the ambient noise study, 51 station pairs are used, with 36 pairs from the UNR network and 15 pairs from the SPE backbone network (Fig.  2 ). We used the MSNoise software package ( Lecocq et al. , 2014 ) to process the ambient noise data set to produce empirical Green’s functions for each...
FIGURES | View All (12)
Journal Article
Published: 09 March 2022
Seismological Research Letters (2022) 93 (3): 1895–1908.
... F. 2014 . MSNoise, a Python package for monitoring seismic velocity changes using ambient seismic noise , Seismol. Res. Lett. 85 , no.  3 , 715 – 726 . Loeliger J. , and McCullough M. 2012 . Version Control with Git: Powerful Tools and Techniques for Collaborative Software...
FIGURES | View All (11)
Journal Article
Published: 16 June 2020
Bulletin of the Seismological Society of America (2020) 110 (5): 2541–2558.
.../directlink/2094045 . Processing of data was done by MSNoise ( Lecocq et al. , 2014 ; http://www.msnoise.org/ ), ObsPy ( Beyreuther et al. , 2010 ), SciPy ( Virtanen et al. , 2020 ), and Python (Python Software Foundation, https://www.python.org/ ). Fitting of data from SEUS was done by https...
FIGURES | View All (14)
Journal Article
Journal: The Leading Edge
Published: 01 April 2017
The Leading Edge (2017) 36 (4): 350a1–350a6.
... : Geophysics , 75 , no. 5 , SA85 – SA93 , 10.1190/1.3483102 . Lecocq T. , Caudron C. , and Brenguier F. , 2014 , MSNoise, a python package for monitoring seismic velocity changes using ambient seismic noise : Seismological Research Letters , 85 , no. 3 , 715 – 726 , 10.1785...
FIGURES | View All (6)
Journal Article
Journal: Interpretation
Published: 15 July 2016
Interpretation (2016) 4 (3): SJ77–SJ85.
.../1.3079771 . Lecocq , T. , C. Caudron , and F. Brenguier , 2014 , MSNoise, a Python package for monitoring seismic velocity changes using ambient seismic noise : Seismological Research Letters , 85 , 715 – 726 , doi: 10.1785/0220130073 . SRLEEG 0895-0695 Lobkis , O...
FIGURES | View All (9)