pengguo-seismo

amb_noise_tools

Python functions to preprocess and correlate ambient-noise data and extract phase-velocity curves

fast_beamforming

Fast and efficient beamforming in Python - educational notebooks

meatball

peng-guo.github.io

pengguo-seismo.github.io

RTM_acoustic_updown

SEIS_FILO

SEISmological transdimensional inversion tools for Flat and Isotropic Layered structure in the Ocean

seismic-noise-tomography

Python framework for seismic noise tomography

seismic_cpml

SEISMIC_CPML is a set of eleven open-source Fortran90 programs to solve the two-dimensional or three-dimensional isotropic or anisotropic elastic, viscoelastic or poroelastic wave equation using a finite-difference method with Convolutional or Auxiliary Perfectly Matched Layer (C-PML or ADE-PML) conditions, developed by Dimitri Komatitsch and Roland Martin from CNRS, France.

VIP

Variational Full-waveform Inversion and Tomography

pengguo-seismo/amb_noise_tools

Python functions to preprocess and correlate ambient-noise data and extract phase-velocity curves

pengguo-seismo/fast_beamforming

Fast and efficient beamforming in Python - educational notebooks

pengguo-seismo/meatball

pengguo-seismo/peng-guo.github.io

pengguo-seismo/pengguo-seismo.github.io

pengguo-seismo/RTM_acoustic_updown

pengguo-seismo/SEIS_FILO

SEISmological transdimensional inversion tools for Flat and Isotropic Layered structure in the Ocean

pengguo-seismo/seismic-noise-tomography

Python framework for seismic noise tomography

pengguo-seismo/seismic_cpml

SEISMIC_CPML is a set of eleven open-source Fortran90 programs to solve the two-dimensional or three-dimensional isotropic or anisotropic elastic, viscoelastic or poroelastic wave equation using a finite-difference method with Convolutional or Auxiliary Perfectly Matched Layer (C-PML or ADE-PML) conditions, developed by Dimitri Komatitsch and Roland Martin from CNRS, France.

pengguo-seismo/VIP

Variational Full-waveform Inversion and Tomography

pengguo-seismo/WE-timelapse