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This project provides a Python framework for running single-telescope CORSIKA simulations, allows users to parse the resulting particle track and Cherenkov photon information as pandas DataFrames, and generate visualizations of the simulated particle tracks and Cherenkov photon distributions.
This repository contains the code and documentation developed for the final degree project titled "Study on the Efficiency Improvement of Cherenkov Detectors Using Colloids". The project focuses on analyzing and improving the efficiency of Cherenkov detectors used in cosmic ray detection, with a particular emphasis on the use of colloids to enhance