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Machine Learning for Radial Velocity Analysis I: Vision Transformers as a Robust Alternative for Detecting Planetary Candidates
Anoop Gavankar, Tanish Mittal, Joe Ninan +1
Extreme precision radial velocity (EPRV) surveys usually require extensive observational baselines to confirm planetary candidates, making them resource-intensive. Traditionally, p…
Measurements and Kernels for Source-Structure Inversions in Noise Tomography
Shravan M. Hanasoge
Seismic noise cross correlations are used to image crustal structure and heterogeneity. Typically, seismic networks are only anisotropically illuminated by seismic noise, a consequ…
Interpreting Cross-correlations of One-bit Filtered Seismic Noise
Shravan Hanasoge, Michal Branicki
Seismic noise, generated by oceanic microseisms and other sources, illuminates the crust in a manner different from tectonic sources, and therefore provides independent information…
Propagation of seismic waves through a spatio-temporally fluctuating medium: Homogenization
Shravan Hanasoge, Laurent Gizon, Guillaume Bal
Measurements of seismic wave travel times at the photosphere of the Sun have enabled inferences of its interior structure and dynamics. In interpreting these measurements, the simp…
The influence of noise sources on cross-correlation amplitudes
Shravan M. Hanasoge
We use analytical examples and asymptotic forms to examine the mathematical structure and physical meaning of the seismic cross correlation measurement. We show that in general, cr…