activity
20242026
collaborators

5 papers

physics.geo-ph2026

Virtual receiver functions via conditional diffusion transformers for robust crustal imaging

Tiente R. Koireng, Priyanshu Gupta, Pawan Bharadwaj

Receiver functions (RFs) are widely used to image crustal and upper-mantle structure, and their variation with backazimuth and epicentral distance contains key information about la…

physics.geo-ph2025

Cold-Diffusion Driven Downward Continuation of Gravity Data

Adarsh Jain, Pawan Bharadwaj, Chandra Sekhar Seelamantula

Gravity data can be better interpreted after enhancing high-frequency information via downward continuation. Downward continuation is an ill-posed deconvolution problem. It has bee…

physics.geo-ph2025

Enhanced receiver function imaging of crustal structures using symmetric autoencoders

T. Rengneichuong Koireng, Pawan Bharadwaj

The receiver-function (RF) technique aims to recover receiver-side crustal and mantle structures by deconvolving either the radial or transverse component with the vertical compone…

physics.geo-ph2025

Coherent Spectral Feature Extraction Using Symmetric Autoencoders

Archisman Bhattacharjee, Pawan Bharadwaj

Hyperspectral data acquired through remote sensing are invaluable for environmental and resource studies. While rich in spectral information, various complexities such as environme…

physics.geo-ph2024

On extracting coherent seismic wavefield using variational symmetric autoencoders

Pawan Bharadwaj

We discuss the variational formulation of the Symmetric Autoencoder (SymAE) and its role in achieving disentanglement within the latent space to extract coherent information from a…