Timo Janßen

1. July 2026· University of Göttingen

   New funding for AI research in particle physics

   The University of Göttingen has secured approximately €1.8 million in funding from zukunft.niedersachsen for my five-year project “Production-ready AI for unbiased simulation in high energy physics”. We will develop reliable AI methods to accelerate precision particle-physics simulations without compromising accuracy.

   Read the university press release

Research interests

• High Energy Physics
• Monte Carlo Sampling
• Machine Learning
• Generative Models

1. Too good to go: Upcycling Phase-Space Points for Multijet Processes

   Konrad Helms, Timo Janßen, Steffen Schumann

   preprint, 2026

2. Monte Carlo event generation with continuous normalizing flows

   Enrico Bothmann, Timo Janßen, Max Knobbe, Bernhard Schmitzer, Fabian Sinz

   Phys. Rev. Lett. 137, 091902 (2026)

   arXiv version

3. Efficient many-jet event generation with flow matching

   Enrico Bothmann, Timo Janßen, Max Knobbe, Bernhard Schmitzer, Fabian Sinz

   Phys. Rev. D 114, 034055 (2026)

   arXiv version

4. Accelerating multijet-merged event generation with neural network matrix element surrogates

   Tim Herrmann, Timo Janßen, Mathis Schenker, Steffen Schumann, Frank Siegert

   SciPost Phys. 20, 071 (2026)

   arXiv version

5. Sampling NNLO QCD phase space with normalizing flows

   Timo Janßen, Rene Poncelet, Steffen Schumann

   JHEP 09 (2025) 194

   arXiv version

Contact

Institute for Theoretical Physics
University of Göttingen
Friedrich-Hund-Platz 1
37077 Göttingen