Speaker
Shravan Hanasoge
(Tata Institute of Fundamental Research)
Description
Stellar pulsations offer valuable insights into the internal structure and rotation profiles of stars. The availability of high-quality observations from numerous space-based instruments makes it possible to pursue ensemble analyses on an unprecedented scale. To this end, we have used machine learning to accelerate these studies by several orders in magnitude. I will describe how deep learning models applied to Kepler observations have revealed new physical insights into angular momentum transport, magnetism and structure evolution in the red-giant phase.
| Contribution Type | |
|---|---|
| Theme | Solar - Stellar Connections |
Primary author
Shravan Hanasoge
(Tata Institute of Fundamental Research)
