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DOE OSTI · 3383513

Multi-modal dynamic radiography using short-pulse laser-generated probe beams

Batha, Steven H. [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000273956527)·Alvarado Alvarez, Mariana [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0009000783586711)·Bell, Brian W. [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)]·Broughton, David Paul [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000347008133)·Chu, Pinghan [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000313722910)·De, Soumi [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000233165149)·Favalli, Andrea [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000229161700)·Huang, Chengkun [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000231768042)·Koskelo, Aaron C. [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000265194497)·Schmidt, Jr., Thomas Robert [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000195770910)·Wolfe, Bradley Thomas [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000268301614)·Wang, Zhehui [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000178264063)·Wong, Chun-Shang [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000226987208)·Reinovsky, Robert Emil [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)]
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Abstract

Radiography is an important tool for the interrogation of dynamic experiments in the fields of dynamic properties of materials, and in condensed matter, high explosive, and high-energy-density physics. Multi-modal radiography advances the hypothesis that combining the information delivered by multiple radiographic modalities can lead to more constrained (improved) “reconstruction” of the scene than can be obtained from a single probe. We identify four modalities: multi-probe, time sequence, multi-view, and multi-messenger. Multi-probe radiography is a promising candidate for a next-generation dynamic radiographic facility. High-energy X-rays are the most frequently used probe for dynamic radiography, although recent developments show the utility of proton (pRad), electron (eRad), and neutron probe beams. Because each probing species interacts with material in the radiographic scene through quantitatively different mechanisms, each returns independent information about the scene, which can add extra constraints to the reconstruction process. How to conduct detailed, quantitative “co-analysis” of multiple data streams remains an area of active research. Multi-beam, short-pulse, laser-generated probes offer sufficient dose, an appropriate spectrum, and appropriate spatio-temporal resolution to produce high-quality dynamic radiographs. This paper reports on technology development to advance the state of the art of multi-modal/multi-probe radiography and the pursuit of both deterministic and inferential (AI/ML assisted) co-analysis methodologies to produce more constrained reconstructions from multi-modal data.

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70 PLASMA PHYSICS AND FUSION TECHNOLOGYbayesian inferencelaser-generated beamsmachine learningradiographyshort-pulse lasers

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Batha, Steven H. [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000273956527), Alvarado Alvarez, Mariana [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0009000783586711), Bell, Brian W. [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)], Broughton, David Paul [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000347008133), Chu, Pinghan [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000313722910), De, Soumi [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000233165149), Favalli, Andrea [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000229161700), Huang, Chengkun [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000231768042), Koskelo, Aaron C. [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000265194497), Schmidt, Jr., Thomas Robert [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000195770910), Wolfe, Bradley Thomas [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000268301614), Wang, Zhehui [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000178264063), Wong, Chun-Shang [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000226987208), Reinovsky, Robert Emil [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)]. 2026-06-17. Multi-modal dynamic radiography using short-pulse laser-generated probe beams. https://doi.org/10.3389/fphy.2026.1719822

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70 PLASMA PHYSICS AND FUSION TECHNOLOGY subjectbayesian inference subjectlaser-generated beams subjectmachine learning subject

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