Kateryna Kolesova

• This paper explores the utilization of particle density analysis in the context of plasma crystal experiments. The objective is to (develop) an algorithm capable of processing images of particles within a plasma environment and subsequently clustering the particles based on their density. This research contributes to the understanding of particle behaviour in plasma crystals by providing a novel approach for analyzing particle density variations. The developed algorithm not only enhances the efficiency of particle clustering but also offers insights into the spatial distribution of particles within the plasma crystal experiment. The application of particle density analysis in this context has the potential to advance our understanding of complex plasma dynamics and their implications for various scientific and technological domains.