5 citations · 6 across the 3 of their papers we have counts for
4 papers
Seismic noise characterization at a potential gravitational wave detector site in Australia
Hamid Satari, Carl Blair, Li Ju +5
A critical consideration in the design of next generation gravitational wave detectors is the understanding of the seismic environment that can introduce coherent and incoherent no…
Low coherency of wind induced seismic noise: Implications for gravitational wave detection
Hamid Satari, Carl Blair, Li Ju +5
Seismic noise poses challenges for gravitational wave detection. Effective vibration isolation and methods to subtract unsheildable Newtonian Noise are examples. Seismic arrays off…
Seismic Inversion by Multi-dimensional Newtonian Machine
Yuqing Chen, Erdinc Saygin
Newtonian machine learning (NML) is a wave-equation inversion method that inverts single-dimensional latent space (LS) features of the seismic data for retrieving the subsurface ba…
Seismic Inversion by Hybrid Machine Learning
Yuqing Chen, Erdinc Saygin
We present a new seismic inversion method that uses deep learning (DL) features for the subsurface velocity model estimation. The DL feature is a low-dimensional representation of…