Pisces: A Practical Seismological Database Library in Python

MacCarthy, J.; Rowe, C. A.

doi:10.1785/0220140013

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…Figures were created using the python packages Matplotlib (Hunter, 2007), and PyGMT (Uieda et al., 2022) (i.e., A python interface to the Generic Mapping Tools (Wessel et al., 2019)). Analysis of the seismic data relied heavily upon the python packages ObsPy (Beyreuther et al., 2010), Pisces (MacCarthy & Rowe, 2014), SciPy (Virtanen et al., 2020), NumPy (Harris et al., 2020), and Pandas (McKinney, 2010). Network average ratios and double ratios are available in Tables S5–S7 in Supporting Information S1 and online at http://doi.org/10.5281/zenodo.7222589.…”

Section: Data Availability Statementmentioning

confidence: 99%

Source Characterization of the Declared North Korean Nuclear Tests From Regional Distance Coda Wave Spectral Ratios

et al. 2023

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Seismic observations of underground nuclear explosions provide crucial data on source yield and depth that cannot easily be estimated from other geophysical methods. However, it is difficult to obtain reliable yield estimates for test sites for which we do not have direct seismic calibration experiments. To obtain source information from uncalibrated sites and paths, local and regional seismic records of six, proximal, declared underground nuclear explosions in North Korea are used to compute spectral ratios of narrow‐band waveform envelopes of body‐wave coda that remove path and site effects to reveal precise, relative source moment. The yields of these explosions are obtained from the observed source ratios by simultaneously fitting the classical source model of Mueller and Murphy (1971), https://doi.org/10.1785/bssa0610061675 to all event pairs. The source model provides an impressive fit to the observations considering that the P phase coda derived source spectral ratios did not require a prior knowledge of the source or regionally calibrated corrections to be applied to the data. However, the observed corner frequencies from S wave coda spectral ratios are lower than the source model predictions, but are well fit by models calculated using the corner frequency consistent with the Fisk conjecture. The results presented here provide novel constraints on the spectral distributions of the energy radiated by the sources of the DPRK test series, and allows for an independent evaluation of existing estimated source model parameters.

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Section: Data Availability Statementmentioning

confidence: 99%

Source Characterization of the Declared North Korean Nuclear Tests From Regional Distance Coda Wave Spectral Ratios

et al. 2023

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A Multimodal Event Catalog and Waveform Data Set That Supports Explosion Monitoring from Nevada, U.S.A.

Rodd

Brogan²,

Carmichael

et al. 2023

Bulletin of the Seismological Society of America

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Multimodal, curated data sets and nuisance event catalogs remain rare in the explosion monitoring community relative to curated seismic data sets. The source of this relative absence is the difficultly in deploying multimodal receivers that sense the seismic, acoustic, and other modalities from multiphysics sources. We provide such a data set in this study that delivers seismic, infrasound, and electromagnetic (magnetometer) sensor records collected over a two-week period, within 255 km of a 10 ton buried chemical explosion called DAG-4 that was located at 37.1146°, −116.0693° on 22 June 2019 21:06:19.88 UTC. This catalog includes 485 seismic, seismoacoustic, and infrasound-only events that an expert analyst manually built by reviewing waveforms from 29 seismic and infrasound sensors. Our data release includes waveforms from these 29 seismic, infrasound, and seismoacoustic stations and two magnetometer stations and their station metadata. We deliver these waveforms in NNSA KB Core CSS.w format (i4) with a corresponding wfdisc table that provides the header information. We expect that this data set will provide a valuable, benchmark resource to develop signal processing algorithms and explosion monitoring methods against manual, human observations.

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seismo‐live: An Educational Online Library of Jupyter Notebooks for Seismology

Krischer

Aiman

Bartholomaus

et al. 2018

Seismological Research Letters

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Efficient computer programming is becoming a central requirement in quantitative Earth science education. This applies not only to the early career stage but—due to the rapid evolution of programming paradigms—also throughout professional life. At universities, workshops, or any software training events, efficient practical programming exercises are hampered by the heterogeneity of hardware and software setups of participants. Jupyter notebooks offer an attractive solution by providing a platform‐independent concept and allowing the combination of text‐editing, program execution, and plotting. Here, we document a growing library with dozens of Jupyter notebooks for training in seismology. The library is made “live” through a server that allows accessing and running the notebooks in the browser on any system (PC, laptop, tablet, smartphone), provided there is internet access. The library seismo‐live contains notebooks on many aspects of seismology, including data processing, computational seismology, and earthquake physics, as well as reproducible papers and graphics. It is a community effort and is intended to benefit from continuous interaction with seismologists around the world.

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Pisces: A Practical Seismological Database Library in Python

Cited by 3 publications

References 15 publications

Source Characterization of the Declared North Korean Nuclear Tests From Regional Distance Coda Wave Spectral Ratios

Source Characterization of the Declared North Korean Nuclear Tests From Regional Distance Coda Wave Spectral Ratios

A Multimodal Event Catalog and Waveform Data Set That Supports Explosion Monitoring from Nevada, U.S.A.

seismo‐live: An Educational Online Library of Jupyter Notebooks for Seismology

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