Journal Article

PUBDB-2023-00096

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Machine-learning calibration of intense x-ray free-electron-laser pulses using Bayesian optimization

Breckwoldt, N. (Corresponding author)CFEL*Extern* ; Son, S.-K. (Corresponding author)CFEL*XFEL.EU*DESY* ; Mazza, T.XFEL.EU* ; Roerig, A.XFEL.EU* ; Boll, R.XFEL.EU* ; Meyer, M.XFEL.EU* ; Laforge, A.Extern* ; Mishra, D.Extern* ; Berrah, N.Extern* ; Santra, R.CFEL*XFEL.EU*DESY*

2023
APS College Park, MD

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Please use a persistent id in citations: doi:10.1103/PhysRevResearch.5.023114  doi:10.3204/PUBDB-2023-00096

Abstract: X-ray free-electron lasers (XFELs) have brought new ways to probe and manipulate atomic and molecular dynamics with unprecedented spatial and temporal resolutions. A quantitative comparison of experimental results with their simulated theoretical counterpart, however, generally requires a precise characterization of the spatial and temporal x-ray pulse profile, providing a nonuniform photon distribution. The determination of the pulse profile constitutes a major, yet inevitable, challenge. Here, we propose a calibration scheme for intense XFEL pulses utilizing a set of experimental charge-state distributions of light noble gas atoms at a series of pulse energies in combination with first-principles simulations of the underlying atomic x-ray multiphoton ionization dynamics. The calibration builds on Bayesian optimization, which is a powerful, machine-learning-based tool particularly well suited for computationally expensive numerical optimization. We demonstrate the presented scheme to calibrate the pulse duration as well as the spatial fluence distribution profile of XFEL pulses. Our proposed method can serve as a comprehensive tool for characterizing ultraintense and ultrafast x-ray pulses.

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Contributing Institute(s):

1. FS-CFEL-3 (CFEL-DESYT)
2. CFEL-Theory (FS-CFEL-3)
3. SQS (XFEL_E2_SQS)

Research Program(s):

1. 631 - Matter – Dynamics, Mechanisms and Control (POF4-631) (POF4-631)
2. DFG project 390715994 - EXC 2056: CUI: Advanced Imaging of Matter (390715994) (390715994)
3. DFG project 194651731 - EXC 1074: Hamburger Zentrum für ultraschnelle Beobachtung (CUI): Struktur, Dynamik und Kontrolle von Materie auf atomarer Skala (194651731) (194651731)
4. DFG project 170620586 - SFB 925: Licht-induzierte Dynamik und Kontrolle korrelierter Quantensysteme (170620586) (170620586)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2023

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Database coverage:
; ; ; ; Article Processing Charges ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Emerging Sources Citation Index ; Fees ; IF < 5 ; JCR ; SCOPUS ; Web of Science Core Collection

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