A flexible proton beam imaging energy spectrometer (PROBIES) for high repetition rate or single-shot high energy density (HED) experiments (invited)

Author:

Mariscal D. A.1ORCID,Djordjević B. Z.1ORCID,Anirudh R.1ORCID,Bremer T.1ORCID,Campbell P. C.1,Feister S.2,Folsom E.1ORCID,Grace E. S.1ORCID,Hollinger R.3ORCID,Jacobs S. A.1,Kailkhura B.1,Kalantar D.1ORCID,Kemp A. J.1ORCID,Kim J.4ORCID,Kur E.1ORCID,Liu S.1,Ludwig J.1,Morrison J.3,Nedbailo R.3ORCID,Ose N.1,Park J.3ORCID,Rocca J. J.3,Scott G. G.1ORCID,Simpson R. A.5ORCID,Song H.3ORCID,Spears B.1,Sullivan B.3ORCID,Swanson K. K.1ORCID,Thiagarajan J.1ORCID,Wang S.3,Williams G. J.1ORCID,Wilks S. C.1,Wyatt M.1,Van Essen B.1,Zacharias R.1,Zeraouli G.13ORCID,Zhang J.1,Ma T.1ORCID

Affiliation:

1. Lawrence Livermore National Laboratory 1 , Livermore, California 94550, USA

2. Department of Computer Science, California State University Channel Islands 2 , Camarillo, California 93012, USA

3. Colorado State University 3 , Fort Collins, Colorado 80523, USA

4. Center for Energy Research, University of California San Diego 4 , La Jolla, California 92093, USA

5. Department of Nuclear Science and Engineering, Massachusetts Institute of Technology 5 , Cambridge, Massachusetts 02139, USA

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.

Funder

Lawrence Livermore National Laboratory

Office of Science

Fusion Energy Sciences

Advanced Scientific Computing Research

U.S. Department of Energy

Publisher

AIP Publishing

Subject

Instrumentation

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