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Time-of-flight spectroscopy for laser-driven proton beam monitoring

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 spectrall...

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Detalles Bibliográficos
Autores principales: Reimold, Marvin, Assenbaum, Stefan, Bernert, Constantin, Beyreuther, Elke, Brack, Florian-Emanuel, Karsch, Leonhard, Kraft, Stephan D., Kroll, Florian, Loeser, Markus, Nossula, Alexej, Pawelke, Jörg, Püschel, Thomas, Schlenvoigt, Hans-Peter, Schramm, Ulrich, Umlandt, Marvin E. P., Zeil, Karl, Ziegler, Tim, Metzkes-Ng, Josefine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744900/
https://www.ncbi.nlm.nih.gov/pubmed/36509788
http://dx.doi.org/10.1038/s41598-022-25120-6
Descripción
Sumario: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% (1[Formula: see text] ) 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.