Analysis of Exoplanet Habitability: Investigating Key Parameters and Environmental Influences

This thesis explores the complex question of exoplanet habitability through a multi-parameter analysis of 35 exoplanets. Utilizing observational data from sources such as the NASA Exoplanet Archive, Gaia, SIMBAD, and various mission catalogs (Kepler, TESS, JWST), the study examines critical factors including surface temperature, atmospheric composition, orbital dynamics, host star characteristics, and galactic location. Methods include descriptive and comparative statistics, regression modeling, and machine learning techniques such as clustering and classification. Findings reveal the interplay between stellar radiation, planetary properties, and environmental hazards in shaping habitability potential. The results aim to refine habitability criteria and guide future observational priorities in the search for life beyond Earth. Keywords: Exoplanets, Habitability, Astrobiology, Habitable Zone, Atmospheric Composition, Machine Learning, Galactic Environment, Stellar Classification, Climate Modeling