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.

A service which attaches to a mqtt broker in order to calculate coincidences and store them to a database or pass along to a different mqtt broker

raw datasets corresponding to the findings presented in arXiv:2412.08349

raw datasets corresponding to the findings presented in arXiv:2512.12481

Implementations on Pythia 8.3.10