34 citations · 53 across the 6 of their papers we have counts for
6 papers
Information-Optimal Sensing and Control in High-Intensity Laser Experiments
A. Döpp, C. Eberle, J. Esslinger +5
High-intensity laser systems present unique measurement and optimization challenges due to their high complexity, low repetition rates, and shot-to-shot variations. We discuss rece…
Pareto Optimization of a Laser Wakefield Accelerator
F. Irshad, C. Eberle, F. M. Foerster +6
Optimization of accelerator performance parameters is limited by numerous trade-offs and finding the appropriate balance between optimization goals for an unknown system is challen…
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Andreas Döpp, Christoph Eberle, Sunny Howard +3
Laser-plasma physics has developed rapidly over the past few decades as high-power lasers have become both increasingly powerful and more widely available. Early experimental and n…
Multi-objective and multi-fidelity Bayesian optimization of laser-plasma acceleration
Faran Irshad, Stefan Karsch, Andreas Döpp
Beam parameter optimization in accelerators involves multiple, sometimes competing objectives. Condensing these individual objectives into a single figure of merit unavoidably resu…
Stable and high quality electron beams from staged laser and plasma wakefield accelerators
F. M. Foerster, A. Döpp, F. Haberstroh +24
We present experimental results on a plasma wakefield accelerator (PWFA) driven by high-current electron beams from a laser wakefield accelerator (LWFA). In this staged setup stabl…
Leveraging Trust for Joint Multi-Objective and Multi-Fidelity Optimization
Faran Irshad, Stefan Karsch, Andreas Döpp
In the pursuit of efficient optimization of expensive-to-evaluate systems, this paper investigates a novel approach to Bayesian multi-objective and multi-fidelity (MOMF) optimizati…