Computational Astrophysics · TIFR Mumbai
Imaging the interior of the Sun, stars, and planets
The group uses high-cadence seismic data and machine learning to probe stellar and planetary interiors — making the invisible universe measurable.
Published in
Nature Astronomy
Collaborations
4 continents
Funding
Premji Invest
Based at
TIFR Mumbai
About the group
Making the invisible universe measurable
Telescopes generate astrophysical data far faster than human eyes can parse. The Lightcurve group trains neural networks and statistical models on this flood — helioseismology, asteroseismology, transit photometry, geophysics — to image the invisible interiors of stars, planets, and our own Sun.
Read about usResearch
All research →The Sun
Using acoustic oscillations to image flows, magnetic fields, and convection in the solar interior.
Stars
Measuring stellar structure and rotation from photometric variability in Kepler and TESS data.
Exoplanets
Extracting planetary radii, orbital parameters, and atmospheric signals from transit light curves.
Earth
Applying seismic inversion techniques developed for stars to image Earth's deep interior.
Recent publications
All publications →Evidence for global-scale magnetically modified Rossby waves in the Sun
Hanasoge & Hanson
Discovery of thermal Rossby waves and evidence for weak large-scale convection in the solar interior
Hanasoge
Machine learning for radial velocity analysis. I. Vision transformers as a robust alternative for detecting planetary candidates
Gavankar, Mittal, Ninan & Hanasoge