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.

Background: KIC 6779699 — a Kepler red giant

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 →

Latest publications

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Evidence for global-scale magnetically modified Rossby waves in the Sun

Shravan Hanasoge, C Hanson

Nature Astronomy, 1-8 (2026)

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)

Machine Learning for Radial Velocity Analysis. I. Vision Transformers as a Robust Alternative for Detecting Planetary Candidates

Anoop Gavankar, Tanish Mittal, Joe Ninan, Shravan Hanasoge

The Astronomical Journal, 171, 33 (2026)

Homogenization of Elastic Wave Equation using Renormalization Group Theory

Bhaskar Illa, Ajay Malkoti, Shravan Hanasoge, Rene-Edouard Plessix et al.

EarthArXiv preprint (2025)