Publications Repository - Helmholtz-Zentrum Dresden-Rossendorf
Knowledge extraction in Laser-plasma simulations -- A case study on why start-to-end simulations are just the beginning
Debus, A.; Pausch, R.; Köhler, A.; Schöbel, S.; Couperus Cabadağ, J. P.; Irman, A.; Schramm, U.; Bussmann, M.
Based on a recent laser-wakefield acceleratror experiment studying the electron beam dynamics during acceleration using betatron radiation diagnostics, we present the knowledge-extraction challenges in modeling recent experiments with particle-in-cell simulations such as PIConGPU.
* Matching experiment and simulation results via start-to-end simulations is essential, but not the end. It is the beginning for knowledge extraction to gain physics understanding.
* In-situ diagnostics toolkit needs to be flexible enough to minimize post-processing.
* Reduced models help distinguishing, understanding and excluding different physics processes.
* Particularly intermediate simulation states, such as particle distributions after ionization injection, need to be filterable and interfacable to other codes (--> openPMD).
* Outlook: Next generation of simulations requires more than one order more data. In-situ diagnostics and machine-learning methods need to be further extended.
Keywords: PIC simulations; LWFA; betatron radiation; knowledge extraction; openPMD
DMA-ST3 Meeting 2021, 18.5.2021, Virtuell, Deutschland