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Abstract
In high-energy physics analyses, simulated Monte Carlo (MC) datasets are widely used to refine selection criteria and improve the efficiency of real data analysis from experiments. These datasets are generated through MC simulations, which model the topological and kinematic properties of particles produced in relativistic heavy-ion collisions, ensuring consistency with real data. However…