10 papers
Period spacings and global seismic parameters for K2 red giants using deep learning
Nipun Ghanghas, Siddharth Dhanpal, Shravan Hanasoge +2
Gravity-mode period spacings (DPi_1) of red giants probe the stellar core directly, constraining its structure, mass and evolutionary state. Their measurement requires resolving na…
Potential of Gaia XP Spectra in Red Giant Star Asteroseismology: A Deep-Learning Approach
Rajarshi Barman, Shatanik Bhattacharya, Shravan M. Hanasoge +1
Red giants are tracers of stellar evolution & Galactic structure & their asteroseismic properties, particularly large frequency separation, frequency of maximum oscillation power &…
Machine Learning for Radial Velocity Analysis I: Vision Transformers as a Robust Alternative for Detecting Planetary Candidates
Anoop Gavankar, Tanish Mittal, Joe Ninan +1
Extreme precision radial velocity (EPRV) surveys usually require extensive observational baselines to confirm planetary candidates, making them resource-intensive. Traditionally, p…
Multi-modal encoder-decoder neural network for forecasting solar wind speed at L1
Dattaraj B. Dhuri, Shravan M. Hanasoge, Harsh Joon +3
The solar wind, accelerated within the solar corona, sculpts the heliosphere and continuously interacts with planetary atmospheres. On Earth, high-speed solar-wind streams may lead…
Anomalously fast core and envelope rotation in red giants
Siddharth Dhanpal, Othman Benomar, Shravan Hanasoge +1
Red giants undergo dramatic and complex structural transformations as they evolve. Angular momentum is transported between the core and envelope during this epoch, a poorly underst…
Deformation and differential rotation in slowly rotating young intermediate-mass stars
S. K. Panda, S. Hanasoge
Asteroseismology, the study of stellar vibrations, is a method which can probe the structure deformation and internal rotation of stars. Salient among the seismic inferences of rot…