TIFR Mumbai
Studying the interiors of the Sun and stars
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 →Characterization of planetary candidates
Characterizing planetary candidates them from transit light curves and radial-velocity signals
Stars
Measuring stellar structure, rotation, and evolution from photometric variability in Kepler and TESS data.
The Sun
Imaging flows, magnetic fields, and convection in the solar interior using acoustic oscillations.
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 →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)
Homogenization of Elastic Wave Equation using Renormalization Group Theory
Bhaskar Illa, Ajay Malkoti, Shravan Hanasoge, Rene-Edouard Plessix et al.
EarthArXiv preprint (2025)