Asteroseismology
Stars
Measuring stellar structure, rotation, and evolution from photometric variability in Kepler and TESS data.
The Kepler and TESS space telescopes have produced photometric time series for hundreds of thousands of stars with a precision no ground-based facility can match. Buried in those light curves are the frequencies of stellar oscillations — asteroseismic 'heartbeats' that encode stellar age, mass, helium content, and internal rotation.
We apply encoder–decoder neural networks and Bayesian inference to extract those signals at scale. A particular focus is red giants, where the coupling of gravity and pressure modes produces mixed modes that probe the stellar core directly. Our 2025 detection of anomalously fast core rotation in a sample of red giants challenged standard stellar evolution models.
Related publications
See all in Stars →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)
Team members
- Anohita MallickPostdoctoral Researcher
- Anoop GavankarPhD Student
- HarikrishnanJunior Research Fellow
- Jharnesh VermaJunior Research Fellow
- Meenakshi GairaPostdoctoral Researcher
- Nipun GhanghasPhD Student
- Rajarshi BarmanJunior Research Fellow
- Shatanik BhattacharyaPhD Student
- Shravan HanasogePrincipal Investigator
- Tarun JangiyaniJunior Research Fellow
Collaborators
- Google DeepMindInternational
- California Institute of TechnologyInternational
- Max Planck Institute for Solar System ResearchInternational
- Google DeepMindComputing
For all peer-reviewed publications across the group, see the full publications page.
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