Architectures of Rotating Star-Planet Systems - Rafael Garcia

Explore the architectures of rotating star-planet systems in this 29-minute conference talk by Rafael Garcia, presented at the Transport in Stellar Interiors (TRANSTAR-C21) Conference. Delve into data analysis techniques, including masking, decision trees, random forests, and machine learning, applied to hot stars and exoplanets. Examine the process of pre-data conditioning and its importance in studying orbital periods and creating accurate models. Gain insights into the latest observational data and engage in a discussion on the implications for our understanding of stellar physics and planetary systems.

Intro
Data analysis
Hot stars
Masking
Decision tree
Random forest
Machine learning
Predata conditioning
Planets
Model
Orbital period
Observations
Discussion