Learn about groundbreaking research on red supergiant star granulation in this 16-minute astronomy lecture that analyzes the largest sample of red supergiants in the Magellanic Clouds. Explore how the Gaussian Process regression method models granulation patterns using long-term light curve data from the Optical Gravitational Lensing Experiment and All-Sky Automated Survey for Supernovae. Discover the relationships between granulation parameters and stellar characteristics, including how metallicity influences granulation properties across different galactic environments. Examine the comparative analysis of periodogram fitting versus Gaussian Process methods for studying stellar granulation, with detailed discussion of their respective strengths and applications in astrophysical research.
Overview
Syllabus
ACES Granulation in Red Supergiants: The Scaling Relations - Zehao Zhang (Beijing Normal University)
Taught by
MonashPhysicsAndAstronomy
Related Courses
-
Establishing a Mass-Loss Rate Relation for Red Supergiants
-
Using Interferometry to Model the Winds in Red Supergiants
-
ACES Mass-loss Rate of Highly Evolved Stars in the Magellanic Clouds
-
ACES Red Supergiants in the Local Group - Closing the Loop on Massive Star Evolution
-
The Binary Fraction of RSGs in the Large Magellanic Cloud and Small Magellanic Cloud
-
Modern Red Supergiant Mass-Loss Rates and Their Impact on Massive Binary Stellar Evolution
