@article{ViltresNobileVasyuraBathkeetal.2022,
  author    = {Viltres, Renier and Nobile, Adriano and Vasyura-Bathke, Hannes and Trippanera, Daniele and Xu, Wenbin and J{\´o}nsson, Sigurj{\´o}n},
  title     = {Transtensional rupture within a diffuse plate boundary zone during the 2020 M-w 6.4 Puerto Rico earthquake},
  series = {Seismological research letters},
  volume    = {93},
  journal   = {Seismological research letters},
  number    = {2A},
  publisher = {Seismological Society of America},
  address   = {Boulder, Colo.},
  issn      = {0895-0695},
  doi       = {10.1785/0220210261},
  pages     = {567 -- 583},
  year      = {2022},
  abstract  = {On 7 January 2020, an M-w 6.4 earthquake occurred in the northeastern Caribbean, a few kilometers offshore of the island of Puerto Rico. It was the mainshock of a complex seismic sequence, characterized by a large number of energetic earthquakes illuminating an east-west elongated area along the southwestern coast of Puerto Rico. Deformation fields constrained by Interferometric Synthetic Aperture Radar and Global Navigation Satellite System data indicate that the coseismic movements affected only the western part of the island. To assess the mainshock's source fault parameters, we combined the geodetically derived coseismic deformation with teleseismic waveforms using Bayesian inference. The results indicate a roughly east-west oriented fault, dipping northward and accommodating similar to 1.4 m of transtensional motion. Besides, the determined location and orientation parameters suggest an offshore continuation of the recently mapped North Boqueron Bay-Punta Montalva fault in southwest Puerto Rico. This highlights the existence of unmapped faults with moderate-to-large earthquake potential within the Puerto Rico region.},
  language  = {en}
}
@article{IskenVasyuraBathkeDahmetal.2022,
  author    = {Isken, Marius Paul and Vasyura-Bathke, Hannes and Dahm, Torsten and Heimann, Sebastian},
  title     = {De-noising distributed acoustic sensing data using an adaptive frequency-wavenumber filter},
  series = {Geophysical journal international},
  volume    = {231},
  journal   = {Geophysical journal international},
  number    = {2},
  publisher = {Oxford University Press},
  address   = {Oxford},
  issn      = {0956-540X},
  doi       = {10.1093/gji/ggac229},
  pages     = {944 -- 949},
  year      = {2022},
  abstract  = {Data recorded by distributed acoustic sensing (DAS) along an optical fibre sample the spatial and temporal properties of seismic wavefields at high spatial density. Often leading to massive amount of data when collected for seismic monitoring along many kilometre long cables. The spatially coherent signals from weak seismic arrivals within the data are often obscured by incoherent noise. We present a flexible and computationally efficient filtering technique, which makes use of the dense spatial and temporal sampling of the data and that can handle the large amount of data. The presented adaptive frequency-wavenumber filter suppresses the incoherent seismic noise while amplifying the coherent wavefield. We analyse the response of the filter in time and spectral domain, and we demonstrate its performance on a noisy data set that was recorded in a vertical borehole observatory showing active and passive seismic phase arrivals. Lastly, we present a performant open-source software implementation enabling real-time filtering of large DAS data sets.},
  language  = {en}
}