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Gaussian Mixture Belief Propagation (GMBP) implementation for fusion uncertainty quantification (KIT/IIIT). Implementation by HiWi Alper Saritas under supervision of M.Sc Luisa Hoffmann.

Work in progress; algorithmic details follow the accompanying draft paper and may change.

NETDB API Library written in Python

Builds and deploys the KIT / IBPT Phoebus product (the client component of Phoebus) and associated services.

Pull mirror https://github.com/epics-modules/motor

An archive maintaining a history all important NETDB API definitions since 2024-10-08. Pushes to prod and devel are only done by the CI job defined in the orphan branch "dump".

Inovesalib wraps the high-performance Inovesa solver in a reusable C++ library and exposes its API via a clean, lightweight Python package. Use Inovesalib to configure, run and analyze longitudinal particle‐bunch simulations in storage rings directly from Python—ideal for scripting parameter scans, integrating with Jupyter notebooks, or embedding into custom accelerator‐physics pipelines.