On establishing the accuracy of noise tomography travel‐time measurements in a realistic medium
By Victor C. Tsai. 2009
194 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Geophysics
View Paper: https://www.semanticscholar.org/paper/ff13a2d6ab2f0c575a55929cfe5de03a118f2e1f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jeannot Trampert
- J. Collins
- Jeffrey J. McGuire
- Andreas Fichtner
- R. Hilst
- Huajian Yao
- Pierre Gouédard
- Qinya Liu
In Geophysics
- Andreas Fichtner
- Jeannot Trampert
- R. Hilst
- Huajian Yao
- Antonio Villaseñor
- J. Collins
- Jeffrey J. McGuire
- Paul Cupillard
Citations in the corpus
- Structure of young East Pacific Rise lithosphere from ambient noise correlation analysis of fundamental- and higher-mode Scholte-Rayleigh waves (2011, methodology): “In a 2-D case, when the incidence of the plane waves in a homogeneous elastic medium is isotropic, the CF differs from the real displacement Green’s function by a p/2 phase advance (Harmon et al., 2008; Sanchez-Sesma and Campillo, 2006; Tsai, 2009).”
- Analysis of ambient noise energy distribution and phase velocity bias in ambient noise tomography, with application to SE Tibet (2009, background): “SE Tibet, by Yao et al. 2006, 2008; New Zealand, by Lin et al. 2007; South Korea, by Cho et al. 2007)—we can approximate the energy from ambient noise sources as plane waves, for instance, in a theoretical framework by Nakahara (2006) and Tsai (2009) .”
- Multiscale full waveform inversion (2013, background): “Since the amplitudes of noise correlations depend strongly on the noise source distribution (Tsai 2009; Cupillard & Capdeville 2010), we scale the maximum amplitudes to 1 and restrict ourselves to the analysis of the phase match.”