Authors: Kevin Brooks, Sushant Mahajan, James McAteer, Jason Jackiewicz

Solar differential rotation is a main driver of the solar dynamo and magnetic polarity reversal of the Sun. Differential rotation and meridional flows cause the creation of magnetic features and transport of them
toward the poles, respectively, which drive the solar cycle. While studies of the differential rotation have been carried out, focus on polar flows is lacking. In this work, the drawbacks of these works with regards to polar differential rotation will be addressed. Firstly, an interpolation method that reduces magnetic feature distortion will be found for later utilization. Then, data will be prepared for feature tracking through usage of a machine learning tool known as SuperSynthIA to reduce noise, remapped to a Postel map, then interpolated using the outcome of the first project. Feature tracking will then take place to determine flow velocities. Finally, differential rotation at both poles will be measured over the timescales corresponding to a solar cycle to determine if temporal or hemispheric asymmetries are present. This work aims to shed light on behavior of magnetic features at the poles that cause the Sun’s cyclic nature, provide clarity for dynamo processes, better equip modelers with full solar differential rotation profiles aiding in space weather predictive measures, and set a baseline for future datasets such as from Solar Orbiter.