18 citations · 30 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
Data-Driven Shadowgraph Simulation of a 3D Object
Anna Willmann, Patrick Stiller, Alexander Debus +5
In this work we propose a deep neural network based surrogate model for a plasma shadowgraph - a technique for visualization of perturbations in a transparent medium. We are substi…
Multi-octave high-dynamic range optical spectrometer for single-pulse diagnostic applications
Omid Zarini, Jurjen Couperus Cabadağ, 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…