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Mariscal DA, Djordjević BZ, Anirudh R, Bremer T, Campbell PC, Feister S, Folsom E, Grace ES, Hollinger R, Jacobs SA, Kailkhura B, Kalantar D, Kemp AJ, Kim J, Kur E, Liu S, Ludwig J, Morrison J, Nedbailo R, Ose N, Park J, Rocca JJ, Scott GG, Simpson RA, Song H, Spears B, Sullivan B, Swanson KK, Thiagarajan J, Wang S, Williams GJ, Wilks SC, Wyatt M, Van Essen B, Zacharias R, Zeraouli G, Zhang J, Ma T. A flexible proton beam imaging energy spectrometer (PROBIES) for high repetition rate or single-shot high energy density (HED) experiments (invited). Rev Sci Instrum 2023; 94:023507. [PMID: 36859040 DOI: 10.1063/5.0101845] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 12/28/2022] [Indexed: 06/18/2023]
Abstract
The PROBIES diagnostic is a new, highly flexible, imaging and energy spectrometer designed for laser-accelerated protons. The diagnostic can detect low-mode spatial variations in the proton beam profile while resolving multiple energies on a single detector or more. When a radiochromic film stack is employed for "single-shot mode," the energy resolution of the stack can be greatly increased while reducing the need for large numbers of films; for example, a recently deployed version allowed for 180 unique energy measurements spanning ∼3 to 75 MeV with <0.4 MeV resolution using just 20 films vs 180 for a comparable traditional film and filter stack. When utilized with a scintillator, the diagnostic can be run in high-rep-rate (>Hz rate) mode to recover nine proton energy bins. We also demonstrate a deep learning-based method to analyze data from synthetic PROBIES images with greater than 95% accuracy on sub-millisecond timescales and retrained with experimental data to analyze real-world images on sub-millisecond time-scales with comparable accuracy.
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Affiliation(s)
- D A Mariscal
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Z Djordjević
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R Anirudh
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - T Bremer
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - P C Campbell
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - S Feister
- Department of Computer Science, California State University Channel Islands, Camarillo, California 93012, USA
| | - E Folsom
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - E S Grace
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R Hollinger
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - S A Jacobs
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Kailkhura
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - D Kalantar
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - A J Kemp
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Kim
- Center for Energy Research, University of California San Diego, La Jolla, California 92093, USA
| | - E Kur
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - S Liu
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Ludwig
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Morrison
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - R Nedbailo
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - N Ose
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Park
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - J J Rocca
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - G G Scott
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R A Simpson
- Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - H Song
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - B Spears
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Sullivan
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - K K Swanson
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Thiagarajan
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - S Wang
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - G J Williams
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - S C Wilks
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - M Wyatt
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Van Essen
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R Zacharias
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - G Zeraouli
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - J Zhang
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - T Ma
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
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Williams GJ, Aufderheide M, Champley KM, Djordjević BZ, Ma T, Ryan C, Simpson RA, Wilks SC. Dual-energy fast neutron imaging using tunable short-pulse laser-driven sources. Rev Sci Instrum 2022; 93:093514. [PMID: 36182503 DOI: 10.1063/5.0101832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/03/2022] [Indexed: 06/16/2023]
Abstract
A novel dual-energy fast neutron imaging technique is presented using short-pulse laser-driven neutron sources to leverage their inherent adaptive spectral control to enable 3D volume segmentation and reconstruction. Laser-accelerated ion beams incident onto secondary targets create directional, broadband, MeV-class neutrons. Synthetic radiographs are produced of multi-material objects using ion and neutron spectra derived from analytic and numerical models. It is demonstrated that neutron images generated from small changes to the neutron spectra, controlled by altering the initial laser conditions, are sufficient to isolate materials with differing attenuation coefficients. This is first demonstrated using a simplistic combinatorial isolation method and then by employing more advanced reconstruction algorithms to reduce artifacts and generate a segmentation volume of the constituent materials.
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Affiliation(s)
- G J Williams
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - M Aufderheide
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - K M Champley
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Z Djordjević
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - T Ma
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - C Ryan
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R A Simpson
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - S C Wilks
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
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