Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/117373
Title: Time-of-flight spectroscopy for laser-driven proton beam monitoring
Author(s): Reimold, Marvin
Assenbaum, Stefan
Bernert, Constantin
Beyreuther, ElkeLook up in the Integrated Authority File of the German National Library
Brack, Florian-EmanuelLook up in the Integrated Authority File of the German National Library
Karsch, LeonhardLook up in the Integrated Authority File of the German National Library
Kraft, Stephan DavidLook up in the Integrated Authority File of the German National Library
Kroll, FlorianLook up in the Integrated Authority File of the German National Library
Loeser, Markus
Nossula, Alexej
Pawelke, JörgLook up in the Integrated Authority File of the German National Library
Püschel, ThomasLook up in the Integrated Authority File of the German National Library
Schlenvoigt, Hans-PeterLook up in the Integrated Authority File of the German National Library
Ziegler, Tim
Issue Date: 2022
Type: Article
Language: English
Abstract: Application experiments with laser plasma-based accelerators (LPA) for protons have to cope with the inherent fluctuations of the proton source. This creates a demand for non-destructive and online spectral characterization of the proton pulses, which are for application experiments mostly spectrally filtered and transported by a beamline. Here, we present a scintillator-based time-of-flight (ToF) beam monitoring system (BMS) for the recording of single-pulse proton energy spectra. The setup’s capabilities are showcased by characterizing the spectral stability for the transport of LPA protons for two beamline application cases. For the two beamline settings monitored, data of 122 and 144 proton pulses collected over multiple days were evaluated, respectively. A relative energy uncertainty of 5.5% (1σ) is reached for the ToF BMS, allowing for a Monte-Carlo based prediction of depth dose distributions, also used for the calibration of the device. Finally, online spectral monitoring combined with the prediction of the corresponding depth dose distribution in the irradiated samples is demonstrated to enhance applicability of plasma sources in dose-critical scenarios.
URI: https://opendata.uni-halle.de//handle/1981185920/119332
http://dx.doi.org/10.25673/117373
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Scientific reports
Publisher: Springer Nature
Publisher Place: [London]
Volume: 12
Original Publication: 10.1038/s41598-022-25120-6
Appears in Collections:Open Access Publikationen der MLU

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