SJET: Interactive Tool for Solar Jet Extraction

SJET (Solar Jet Extraction Tool) addresses the challenges of automatically identifying and extracting solar jets, which are dynamic plasma flows in the solar atmosphere. These jets play a significant role in coronal heating and solar wind acceleration, but their complex morphologies make them difficult to analyze using universal algorithms. SJET offers an interactive solution by integrating multiple algorithms developed in Python, including five thresholding algorithms with morphological operations. A key innovation is its method for identifying jet start and end points based on circular regions, which objectively determines jet propagation direction by exploiting morphological asymmetry. The tool also models the jet axis using quadratic Bézier curves, enabling accurate extraction of geometric parameters such as length, width, curvature, and deflection angles. Validation using Solar Orbiter/EUI and SDO/AIA observations demonstrates SJET's effectiveness across different observational conditions. While the tool's accuracy depends on user-defined parameters, it provides a standardized processing workflow that can facilitate large-sample statistical studies and improve consistency in solar jet research. The development of SJET contributes to a deeper understanding of solar dynamics and its impact on space weather. This research was made possible through open access data and collaborative coding practices, reflecting a commitment to transparency and reproducibility in scientific research. The tool's reliance on user-defined parameters highlights the ongoing need for expert oversight in automated data analysis, ensuring that scientific rigor is maintained even with advanced computational methods.

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