TIFR Mumbai
Studying the interiors of the Sun and stars, and atmospheres of exoplanets
We study the interiors of the Sun and other stars using observations of their surface oscillations. For distant stars, we analyze high-precision lightcurve data from ground- and space-based telescopes to perform asteroseismology, while for the Sun we use resolved observations of oscillations to carry out helioseismology.
These same datasets also enable the detection and characterization of exoplanets through transits and radial-velocity signals, connecting stellar structure to planetary systems.
About
Inference at survey scale
lightcurve.ai is a computational astrophysics group at TIFR Mumbai working on helioseismology, asteroseismology, and exoplanets, with an effort focused on imaging Earth's interior. The group combines physics-based modelling with machine learning and statistical inference to extract structure and meaning from time-domain data.
Learn more about our approach and origins →Research areas
All research →The Sun
Imaging flows, magnetic fields, and convection in the solar interior using acoustic oscillations.
Stars
Measuring stellar structure, rotation, and evolution from photometric variability in Kepler and TESS data.
Exoplanets
Detecting planetary candidates and characterizing them from transit light curves and radial-velocity signals.
A minor research area: the group also applies seismic-inversion techniques to terrestrial geophysics - a secondary direction that draws on the same mathematical machinery developed for the Sun. See the Earth area →
Latest publications
All publications →Homogenization of Elastic Wave Equation using Renormalization Group Theory
Bhaskar Illa, Ajay Malkoti, Shravan Hanasoge, Rene-Edouard Plessix, Anu Chandran
EarthArXiv preprint (2025)
Seismic waves traveling through the Earth interact with heterogeneities of all scales along their path. Generally, we are interested in travel time associated with coarse-scale structures; however, fine-scale structures also influence the amplitude and travel time for all phases. The distribution of fine-scale heterogeneities not only affects travel times but also impacts how we observe subsurface properties via these travel times. For instance, fine-scale isotropic heterogeneities in the medium, that may not be resolved in seismic imaging can induce extrinsic anisotropy on a coarser scale. Further, simulating seismic wavefield in a medium with all scales of heterogeneities requires a huge amount of computation, posing a significant challenge. To address these challenges, we propose an upscaling technique based on the Renormalization Group theory for the 2D elastic wave equation. It is helpful to understand how seismic waves propagate through a medium containing fine-scale structures and how their response is manifested on the seismogram. This approach aims to generate more cost-effective wave simulations by reducing the required number of grid points and providing effective properties at a coarser scale while preserving wavefield accuracy. To validate our approach, we tested different models for different levels of upscaling. The waveforms and wavefields for both original and coarse-scale models matched well, demonstrating that the Renormalization Group theory-based upscaled medium effectively represents the fine-scale medium over a surface-seismic frequency band.
Potential of Gaia XP Spectra in Red Giant Star Asteroseismology: A Deep-Learning Approach
Rajarshi Barman, Shatanik Bhattacharya, Shravan Hanasoge, Siddharth Dhanpal
arXiv preprint (2026)
Evidence for global-scale magnetically modified Rossby waves in the Sun
Shravan Hanasoge, C Hanson
Nature Astronomy, 1-8 (2026)