Active Galactic Nucleus

Active Galactic Nuclei (AGN) are supermassive black holes at the centers of galaxies, actively accreting matter and emitting vast amounts of energy across the electromagnetic spectrum. Current research focuses on improving the automated identification and classification of AGN from large astronomical datasets using machine learning techniques, such as convolutional neural networks and wavelet transforms, often coupled with dimensionality reduction methods. These advancements are crucial for efficiently analyzing the ever-increasing volume of data from modern surveys, enabling more precise studies of AGN properties, their host galaxies, and their role in galaxy evolution. Improved classification also facilitates more accurate redshift predictions, enhancing our understanding of the AGN population's distribution and evolution across cosmic time.