Written in Matlab, this can be used to track spicules detection and analysis of their oscillatory properties in the hi-resolution observational data (H-alpha). It can also summarize the results of detection and present the statistical output. By using the gradient contour method, the profile of spicule can be extracted. Although the algorithm can achieve it purpose, the detecting result will be influenced by the observational data quality (DKIST data will be excellent for this method). This algorithm can be improved by analysis the relation of specific points in spicule bone when the spicule region is a cluster region, and to take into account time evolution. Machine Learning method (ML) would be a good way to categorize spicules.. Additionally, the performance of the current system needs to be improved, since the current performance relies on the performance of computer and the GPU unit. This method can be also applied to the detection of the magnetic loop oscillation as it is shown in slides attached.

• Tool name: SSTC (Solar Spicule Tracking Code)
• Developers: Yoyang Yoan, Gary Verth, Viktor Fedun
• Main Contact: Viktor Fedun, v.fedun@sheffield.ac.uk
• Basic description: Detection and analysis of solar spicules oscillations
• Language: Matlab
• Resource needed to use: Laptop
• Host location: Iceberg (HPC facility), The University of Sheffield ¥ Current status: half completed
• 6-month plan to availability: To be released with code in 6-months
• Status of documentation: basic code description and instructions, some additional documentation is required.
• Test status: basic test
• How to reference tool in publication: Solar Spicule Tracking Code, SSTC, (The University of Sheffield)