Publications (16)
Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks
Friedrich Bethke, Richard Pausch, Patrick Stiller +3
Invertible neural networks are a recent technique in machine learning promising neural network architectures that can be run in forward and reverse mode. In this paper, we will be…
Realizing Quantum free-electron lasers: A critical analysis of experimental challenges and theoretical limits
Alexander Debus, Klaus Steiniger, Peter Kling +2
We examine the experimental requirements for realizing a high-gain Quantum free-electron laser (Quantum FEL). Beyond fundamental constraints on electron beam and undulator, we disc…
Application Experiences on a GPU-Accelerated Arm-based HPC Testbed
Wael Elwasif, William Godoy, Nick Hagerty +28
This paper assesses and reports the experience of ten teams working to port,validate, and benchmark several High Performance Computing applications on a novel GPU-accelerated Arm t…
Adaptable phase retrieval for coherent transition radiation spectroscopy based on differentiable physics information
Ritz Ann Aguilar, Maxwell LaBerge, Andreas Doepp +6
Coherent transition radiation (CTR) spectroscopy is a critical diagnostic for characterizing the longitudinal structure of relativistic electron bunches in laser-plasma and convent…
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows
Anna Willmann, Jurjen Couperus CabadaÄ, Yen-Yu Chang +7
Understanding and control of Laser-driven Free Electron Lasers remain to be difficult problems that require highly intensive experimental and theoretical research. The gap between…
Multi-octave high-dynamic range optical spectrometer for single-pulse diagnostic applications
Omid Zarini, Jurjen Couperus CabadaÄ, Yen-Yu Chang +7
We present design and realization of an ultra-broadband optical spectrometer capable of measuring the spectral intensity of multi-octave-spanning light sources on a single-pulse ba…