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
- Shravan HanasogePrincipal Investigator
- Meenakshi GairaPostdoctoral Researcher
- Anohita MallickPostdoctoral Researcher
- Anoop GavankarPhD Student
- Nipun GhanghasPhD Student
- Shatanik BhattacharyaPhD Student
- Rajarshi BarmanJunior Research Fellow
- Jharnesh VermaJunior Research Fellow
- Tarun JangiyaniJunior Research Fellow
- HarikrishnanJunior Research Fellow
Collaborators
- Google DeepMindComputing
- Max Planck Institute for Solar System ResearchInternational
- California Institute of TechnologyInternational
- Google DeepMindInternational
For all peer-reviewed publications across the group, see the full publications page.
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