Over the years, a significant amount of code has been written in various programming languages for high-energy physics. However, outside of frameworks like Gaudi, there isn’t a robust ecosystem to support this work effectively. Instead, we often encounter poorly documented code that can be challenging to compile, largely due to the overhead in some of the languages we use.

I believe it’s time to adopt more modern languages that reduce these issues and help us avoid common pitfalls. For me, Rust and Python (and, once stable, Zig) stand out as ideal choices.

My first project is MMGPDLib, which involves refactoring the Fortran code used for calculating Generalized Parton Distributions (GPD) and their associated observables.

My second project focuses on creating a framework for conducting QCD sum rules calculations. This part of the code will incorporate multiple programming languages, as it was designed with parallel computing in mind.