TY  - JOUR
AU  - Brogren, Frida
AU  - Jalas, S.
AU  - Hübner, L.
AU  - Messner, Philipp
AU  - Schnepp, Matthias
AU  - Trunk, Maximilian
AU  - Werle, Christian
AU  - Winkler, Paul Viktor
AU  - Marklund, M.
AU  - Gonoskov, A.
AU  - Leemans, Wim
AU  - Maier, Andreas
AU  - Kirchen, Manuel
TI  - Data-driven modeling of a laser-plasma accelerator-based x-ray source
JO  - Physical review accelerators and beams
VL  - 28
IS  - 10
SN  - 2469-9888
CY  - College Park, MD
PB  - American Physical Society
M1  - PUBDB-2025-05740
SP  - 101302
PY  - 2025
AB  - Laser-plasma accelerators (LPAs) enable compact, bright x-ray sources, but their practical application demands a significant reduction of beam instabilities that originate from drive laser fluctuations. Moreover, the complexity of the laser-plasma interaction makes it difficult to disentangle and quantify the impact of individual parameters on machine performance. To address this challenge, we develop a data-driven modeling strategy and apply it to an extensive dataset collected during a daylong operation of the LPAbased x-ray source LUX. By making use of an orthogonal-distance-based training objective, our approach reduces bias originating from measurement errors, which allows us to estimate the functional dependencies between laser, accelerated electrons, and generated undulator radiation. In addition, we demonstrate accurate prediction of the x-ray spectrum based on noninvasive measurements, showcasing the potential of our approach for building virtual diagnostics.
LB  - PUB:(DE-HGF)16
DO  - DOI:10.1103/dnnw-lfn5
UR  - https://bib-pubdb1.desy.de/record/642950
ER  -