Leveraging Modern Data Processing & Engineering Techniques for Cosmological Simulations

Cosmological simulations play a crucial role in understanding the formation and evolution of the universe.As these simulations generate and process vast amounts of data, applying modern data engineering & processing techniques becomes essential to manage, analyze, and derive meaningful insights from this information.This paper explores how these techniques can optimize the performance, scalability, and accuracy of cosmological simulations.The focus is on the integration of distributed computing, real-time data processing, and advanced storage solutions to enhance simulations.Furthermore, examination was done to determine initial boundary conditions from observational data & discussion has been included in the paper on popular models used to simulate the universe's evolution and consideration of methods for tuning simulation parameters to balance accuracy with manageable data growth.Estimations of data generation and computational requirements are also provided, emphasizing the role of cloud computing in handling these challenges.