Simulation code for XMM-Newton EPIC-pn data using SIXTE and SIMPUT, designed to create training data for deep learning based super-resolution and de-noising.
Random idea, maybe create a `config.toml.example` file with de default settings. Then let the user create a `config.toml` from this file. The `config.toml` will then be put in the gitignore. This way the local settings are not pushed every commit
_Originally posted by @SamSweere in https://github.com/SamSweere/xmm-epicpn-simulator/pull/16#discussion_r1589973472_