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Framework for training deep neural networks for event reconstruction of astroparticle physics experiments.

This project provides a Python framework for running single-telescope CORSIKA simulations. It allows users to parse the resulting particle track and Cherenkov photon information, access the data in structured pandas DataFrames, and generate visualizations of the simulated showers. The framework simplifies the process of setting up, running, and analyzing CORSIKA simulations in a Pythonic way.

A easy to use GUI to manage registered SSH-Keys in the authorized_keys file

Neue Versuchsanleitung (2025) für den Laser und Lichtgeschwindigkeits-Versuch im Medizinerpraktikum

Technical drawings with CAD models for the MST Pointing Camera (PCAM) production

LaTeX based styling for matplotlib plots that Johannes uses

DiY status display that polls your status from ECAP-Chat and displays it

Neue Versuchsanleitung (2024) für den EKG Versuch im Medizinerpraktikum

This is a collection of nice scpits

My nightsky background brightness estimator and nightsky maps plotting tool