Abstract

The development of high intensity petawatt lasers has created new possibilities for ion acceleration and nuclear fusion using solid targets. In such laser-matter interaction, multiple ion species are accelerated with broad spectra up to hundreds of MeV. To measure ion yields and for species identification, CR-39 solid-state nuclear track detectors are frequently used. However, these detectors are limited in their applicability for multi-ion spectra differentiation as standard image recognition algorithms can lead to a misinterpretation of data, there is no unique relation between track diameter and particle energy, and there are overlapping pit diameter relationships for multiple particle species. In this report, we address these issues by first developing an algorithm to overcome user bias during image processing. Second, we use calibration of the detector response for protons, carbon and helium ions (alpha particles) from 0.1 to above 10 MeV and measurements of statistical energy loss fluctuations in a forward-fitting procedure utilizing multiple, differently filtered CR-39, altogether enabling high-sensitivity, multi-species particle spectroscopy. To validate this capability, we show that inferred CR-39 spectra match Thomson parabola ion spectrometer data from the same experiment. Filtered CR-39 spectrometers were used to detect, within a background of ~ 2 × 1011 sr−1 J−1 protons and carbons, (1.3 ± 0.7) × 108 sr−1 J−1 alpha particles from laser-driven proton-boron fusion reactions.

Details

Title
Differentiating multi-MeV, multi-ion spectra with CR-39 solid-state nuclear track detectors
Author
Schollmeier, M. S. 1 ; Bekx, J. J. 1 ; Hartmann, J. 1 ; Schork, E. 1 ; Speicher, M. 1 ; Brodersen, A. F. 1 ; Fazzini, A. 1 ; Fischer, P. 1 ; Gaul, E. 1 ; Gonzalez-Izquierdo, B. 1 ; Günther, M. M. 1 ; Härle, A. K. 1 ; Hollinger, R. 2 ; Kenney, K. 3 ; Park, J. 2 ; Rivas, D. E. 3 ; Scutelnic, V. 3 ; Shpilman, Z. 2 ; Wang, S. 2 ; Rocca, J. J. 4 ; Korn, G. 3 

 Marvel Fusion GmbH, Munich, Germany 
 Colorado State University, Electrical and Computer Engineering Department, Fort Collins, USA (GRID:grid.47894.36) (ISNI:0000 0004 1936 8083) 
 Marvel Fusion GmbH, Munich, Germany (GRID:grid.47894.36) 
 Colorado State University, Electrical and Computer Engineering Department, Fort Collins, USA (GRID:grid.47894.36) (ISNI:0000 0004 1936 8083); Colorado State University, Physics Department, Fort Collins, USA (GRID:grid.47894.36) (ISNI:0000 0004 1936 8083) 
Pages
18155
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2881060474
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.