The Role of Stellar Mass in Shaping Galaxy Morphology: A Data Science Approach

This study is an investigation of the relationship between the stellar mass of galaxies and their morphological classification (the shape of the galaxy). Understanding this relationship provides insight on the mechanisms behind galaxy formation and evolution. The main objective of this research paper to analyse in what ways, if any, do variations in mass of galaxies influence their classification - focusing on key morphological characteristics such as spiral and elliptical structures. Utilizing astronomical data from several official large-scale galaxy surveys, correlations between stellar mass and certain morphological features are identified. By leveraging data science approaches such as machine learning techniques and statistical methods, this study aims to uncover patterns and trends that can enhance our understanding of galaxy morphology, an important factor determining several features of a galaxy such as its age, population, interactions with other galaxies and more. Preliminary results indicate a strong correlation between higher stellar mass and the definition of galaxy structures, suggesting that stellar mass does play a role in shaping a galaxy. Not only do these findings offer new insights on the mechanisms that drive evolution of galaxies, but also provide a foundation for future research utilizing advanced data science approaches.