Mahdiyar Mousavi-Sadr

School of Astronomy, Institute for Research in Fundamental Sciences (IPM)

 A statistical study of exoplanetary systems and the correlations between their parameters 

Abstract: The number of discovered exoplanets is increasing dramatically, so that over 5,500 exoplanets have been confirmed to date. This large number of exoplanets and advances in machine-learning techniques open new avenues for exploring and understanding the characteristics of worlds beyond our Solar system. In this study, we use machine learning approaches to analyze a data set comprising 770 planets, aiming to characterize their fundamental quantities. We classify the data into two main classes: ‘small’ and ‘giant’ planets. Furthermore, using different regression models, we try to uncover possible correlations between stellar and planetary parameters. Notably, our study reveals a noteworthy finding: there is a positive linear relation between the size of giant planets and the mass of their host stars, which might provide interesting insights into the formation and evolution theories of planets.

یکشنبه 11 آذر 1403، ساعت 17:00

Sunday 1 December 2024 – 17:00 Tehran Time

Hybrid Seminar

دانشکده فیزیک – طبقه اول – کلاس فیزیک 3 Physics Department – first floor – Room Physics 3  / 

https://vc.sharif.edu/ch/cosmology

گزینه ورود به صورت مهمان – Enter as a Guest