Multi-channel rank reduction methods with applications to receiver function reconstruction

• Author / Creator

  Rubio, Gonzalo

• Modern exploration seismology acquires data that depend on four spatial variables and time. Each recorded seismogram
  belongs to a source-receiver pair dened by their spatial coordinates. The distribution of source and receiver on the surface of the Earth is often irregular, however, and thus reconstruction methods are adopted to simultaneously
  denoise and regularize the seismic survey. Data reconstruction is nowadays a customary step for preconditioning exploration seismology records. Despite the popularity of reconstruction techniques for processing exploration seismic data, they have not become a standard processing tool for global seismological
  data. The goal of this thesis is to develop and evaluate reconstruction techniques as a means to enhance data acquired by seismological networks. The work focuses
  on Multichannel Singular Spectrum Analysis (MSSA) reconstruction and its application to volumes of receivers functions. More precisely, reconstruction tests applied to regional data acquired by the USArray in the Yellowstone
  region enable us to explore the regional variations of seismic discontinuities below receivers.

• Subjects / Keywords

  • Receiver functions
  • MSSA

• Graduation date

  Fall 2020

• Type of Item

  Thesis

• Degree

  Master of Science

• DOI

  https://doi.org/10.7939/r3-jxgt-mg91

• License

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