Research Interests
Seismic Interferometry, Active and Passive Seismic Tomography and Migration
Planetary Sciences, Mars
Machine Learning, Deep Learning, Big Data Analysis
Seismic Interferometry, Active and Passive Seismic Tomography and Migration
Planetary Sciences, Mars
Machine Learning, Deep Learning, Big Data Analysis
PhD Project
Autocorrelation Analysis of the Seismic Data Recorded on Mars (PhD Thesis) (Poster)
This project applied the autocorrelation method, one type of seismic interferometry, to analyze the data recorded by InSight seismic station (SEIS) and recover body-wave reflection signals and Mars orbiting surface waves (R2). The body-wave reflection response can inform us the location of the seismic discontinuities (e.g., Moho, olivine-wadsleyite transition and core-mantle boundary) and the velocity layering near Martian core-mantle boundary. The planet orbiting surface waves (R2) can be used to refine the Martian upper mantle velocity structures.
Related Publications
Deng, S., & Levander, A. (2023). Seismic Autocorrelation Analysis of Deep Mars. Geophysical Research Letters. https://doi.org/10.1029/2023GL105046 (pdf)
Deng, S., & Levander, A. (2022). Autocorrelation R2 on Mars. Geophysical Research Letters.
https://doi.org/10.1029/2022GL099580 (pdf)
Deng, S., & Levander, A. (2020). Autocorrelation Reflectivity of Mars. Geophysical Research Letters.
https://doi.org/10.1029/2020GL089630 (pdf)
Deng, S., Levander, A., & Payré, V. (2019, December). Autocorrelation Reflectivity of Mars. In AGU Fall Meeting Abstracts.
Autocorrelation Analysis of the Seismic Data Recorded on Mars (PhD Thesis) (Poster)
This project applied the autocorrelation method, one type of seismic interferometry, to analyze the data recorded by InSight seismic station (SEIS) and recover body-wave reflection signals and Mars orbiting surface waves (R2). The body-wave reflection response can inform us the location of the seismic discontinuities (e.g., Moho, olivine-wadsleyite transition and core-mantle boundary) and the velocity layering near Martian core-mantle boundary. The planet orbiting surface waves (R2) can be used to refine the Martian upper mantle velocity structures.
Related Publications
Deng, S., & Levander, A. (2023). Seismic Autocorrelation Analysis of Deep Mars. Geophysical Research Letters. https://doi.org/10.1029/2023GL105046 (pdf)
Deng, S., & Levander, A. (2022). Autocorrelation R2 on Mars. Geophysical Research Letters.
https://doi.org/10.1029/2022GL099580 (pdf)
Deng, S., & Levander, A. (2020). Autocorrelation Reflectivity of Mars. Geophysical Research Letters.
https://doi.org/10.1029/2020GL089630 (pdf)
Deng, S., Levander, A., & Payré, V. (2019, December). Autocorrelation Reflectivity of Mars. In AGU Fall Meeting Abstracts.
The Interior Structures of Mars Estimated by Body-wave Reflection Responses
Transition Zone Modeling at Martian Core-Mantle Boundary
Observation of Mars Orbiting Surface Wave (R2) by Autocorrelation Method
Using R2 to Constrain the Upper Mantle Structure of Mars with Monte Carlo Inversion