Development of Feature Tracking Code for analyzing Solar Spectropolarimetric Observation

Abstract

Feature tracking is an important tool for studying the evolution of small-scale magnetic features on the Sun. It helps in analysing processes like bipolar magnetic emergence (BME), where loops of magnetic fields rise through the solar surface, and track events like splitting, merging, and cancellation of magnetic fields. The project aims to develop adaptable feature tracking software for solar data obtained from high-resolution observations by the Sunrise balloon-borne solar observatory by converting IDL-based algorithms from Anusha et al. (2017) into C++. This transition will make the software more versatile, efficient, and suitable for analysing a broader range of solar datasets. The newly developed code will be applied to Solar Orbiter PHI data.