Based Telescope

Based telescopes are increasingly leveraging advanced data analysis techniques, particularly machine learning, to overcome observational challenges and enhance scientific output. Current research focuses on developing sophisticated algorithms, including convolutional neural networks and reinforcement learning, for tasks such as noise reduction, object detection, and autonomous telescope scheduling. These improvements are crucial for maximizing the scientific return from existing and future telescopes, enabling more efficient data processing and analysis across diverse astronomical applications, from solar physics to exoplanet detection.