Below are some open-source packages and codes that I developed for my research projects. They are used for numerical simulation of various physical processes allowing to obtain quantitative signal estimates and for help in the experiment. I really like open-source but, unfortunately, not all my projects are publicly available at the moment.
Quvac (from quantum vacuum, pronounced as qu-ack đ¸) allows to calculate quantum vacuum signals produced during light-by-light scattering. It uses linear Maxwell equations to describe the evolution of background electromagnetic fields and vacuum emission picture to calculate the transition amplitudes. It contains a lot of nice utilities supporting the research process (e.g. Bayesian optimization and simulations on a cluster).
Languages: Python
A number of helper classes for time-series laser jitter data pre-processing and model training/inference. Models could be trained on temporal or spectral (Short Time Fourier Transform) features. Open repository contains only the initial study with RNNs, current approach uses probabilistic time-series forecasting models (e.g. Autoformer).
Languages: Python
Optimization of light-by-light scattering scenarios using existing Vacuum Emission solver. It provides some helpful functions to run gridscan simulations and optuna optimizations.
Languages: Python
The electron's trajectory is calculated via classical equations of motion. The emitted Thomson spectra is calculated with FFTs for a given electron trajectory.
Languages: Python