GT-Scopy: A data processing and enhancing package (level 1.0 - 1.5) for Ground Solar Telephone -- Based on the 1.6 m Goode Solar Telescope

The increasing demand for high-resolution solar observations has driven the development of advanced data processing and enhancement techniques for ground-based solar telescopes. This study focuses on developing a python-based package (GT-scopy) for data processing and enhancing for giant solar telescopes, with application to the 1.6-meter Goode Solar Telescope (GST) at Big Bear Solar Observatory. The objective is to develop a modern data processing software for refining existing data acquisition, processing, and enhancement methodologies to achieve atmospheric effect removal and accurate alignment at the sub-pixel level, particularly within the processing levels 1.0 to 1.5. In this research, we implemented an integrated and comprehensive data processing procedure that includes image cropping, de-rotation, zone-of-interest selection, coarse alignment, correction of atmospheric distortions, and accurate alignment at the sub-pixel level with an advanced algorithm. The results demonstrate a significant improvement in image quality, with enhanced visibility of fine solar structures both in sunspots and quiet-sun regions. The enhanced data processing package developed in this study significantly improve the utility of data obtained from the GST, paving the way for more precise solar research and contributing to a better understanding of solar dynamics. These package can be adapted for other ground-based solar observatories, such as the DKIST, EST, and the 8-m Chinese Giant Solar Telescopes, potentially benefiting the broader solar physics community.