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The morphology of the stagnated plasma resulting from Magnetized Liner Inertial Fusion (MagLIF) is measured by imaging the self-emission x-rays coming from the multi-keV plasma, and the evolution of the imploding liner is measured by…

The morphology of the stagnated plasma resulting from Magnetized Liner Inertial Fusion (MagLIF) is measured by imaging the self-emission x-rays coming from the multi-keV plasma. Equivalent diagnostic response can be generated by integrated…

In this paper, we explore magnetized liner inertial fusion (MagLIF) [S. A. Slutz et al., Phys. Plasmas 17, 056303 (2010)] using a semi-analytic model [R. D. McBride and S. A. Slutz, Phys. Plasmas 22, 052708 (2015)]. Specifically, we present…

Magnetized Liner Inertial Fusion (MagLIF) is a magneto-inertial-fusion (MIF) concept, which is presently being studied on the Z Pulsed Power Facility. The MagLIF platform has achieved interesting plasma conditions at stagnation and produced…

Presented is a semi-analytic model of magnetized liner inertial fusion (MagLIF). This model accounts for several key aspects of MagLIF, including: (1) preheat of the fuel (optionally via laser absorption); (2) pulsed-power-driven liner…

Plasma Physics · Physics 2015-05-25 Ryan D. McBride , Stephen A. Slutz

Magneto-inertial fusion (MIF) concepts, such as the Magnetized Liner Inertial Fusion (MagLIF) platform [M. R. Gomez et al., Phys. Rev. Lett. 113, 155003 (2014)], constitute a promising path for achieving ignition and significant fusion…

Plasma Physics · Physics 2023-04-12 D. E. Ruiz , P. F. Schmit , D. A. Yager-Elorriaga , C. A. Jennings , K. Beckwith

Investigating the potential benefits of the use of magnetic fields in Inertial Confinement Fusion (ICF) experiments has given rise to new experimental platforms like the Magnetized Liner Inertial Fusion (MagLIF) approach at the Z-machine…

Magnetized Liner Inertial Fusion (MagLIF) is a z-pinch magneto-inertial-fusion (MIF) concept studied on the Z Machine at Sandia National Laboratories. Two important metrics characterizing current delivery to a z-pinch load are the peak…

Plasma Physics · Physics 2023-04-12 D. E. Ruiz , P. F. Schmit , M. R. Weis , K. J. Peterson , M. K. Matzen

A Machine and Deep Learning methodology is developed and applied to give a high fidelity, fast surrogate for 2D resistive MHD simulations of MagLIF implosions. The resistive MHD code GORGON is used to generate an ensemble of implosions with…

Plasma Physics · Physics 2023-10-11 Michael E. Glinsky , Kathryn Maupin

We present results from the SPring-8 Angstrom Compact free electron LAser (SACLA) XFEL facility, using a high intensity ($\sim\!10^{20}\,$W/cm$^2$) X-ray pump X-ray probe scheme to observe changes in the ionic structure of silicon induced…

In semiconductor manufacturing, defect detection and localization are critical to ensuring product quality and yield. While X-ray imaging is a reliable non-destructive testing method, it is memory-intensive and time-consuming for…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Aye Phyu Phyu Aung , Lucas Lum , Zhansen Shi , Wen Qiu , Bernice Zee , JM Chin , Yeow Kheng Lim , J. Senthilnath

Modern astronomical surveys, such as the Zwicky Transient Facility (ZTF), are capable of detecting thousands of transient events per year, necessitating the use of automated and scalable data analysis techniques. Recent advances in machine…

Instrumentation and Methods for Astrophysics · Physics 2025-04-17 Betty X. Hu , Avi Loeb

Scattering experiments have revolutionized our understanding of nature. Examples include the discovery of the nucleus, crystallography, and the discovery of the double helix structure of DNA. Scattering techniques differ by the type of the…

An image fusion method based on salient features is proposed in this paper. In this work, we have concentrated on salient features of the image for fusion in order to preserve all relevant information contained in the input images and tried…

Computer Vision and Pattern Recognition · Computer Science 2013-12-06 Sourav Pramanik , Debotosh Bhattacharjee

Utility companies increasingly rely on drone imagery for post-event and routine inspection, but training accurate defect-type classifiers remains difficult because defect examples are rare and inspection datasets are often limited or…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Xuesong Wang , Caisheng Wang

Infrared and Visible Image Fusion (IVIF) has shown promise in visual tasks under challenging environments, but fusion under unregistered conditions faces inherent misalignments. Current studies to solve them either predict the deformation…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Xingyuan Li , Haoyuan Xu , Xingyue Zhu , Jun Ma , Yang Zou , Zhiying Jiang , Jinyuan Liu

Solar spectropolarimetric inversion -- inferring atmospheric conditions from the Stokes vector -- is a key diagnostic tool for understanding solar magnetism, but traditional inversion methods are computationally expensive and sensitive to…

Solar and Stellar Astrophysics · Physics 2025-11-17 Ryan James Campbell , Mihalis Mathioudakis , Carlos Quintero Noda

Simulation studies of a section of a spherically imploding plasma liner, formed by the merger of six hypersonic plasma jets, have been performed at conditions relevant to the Plasma Liner Experiment (PLX) [S. C. Hsu et al., IEEE Trans.…

Multi-exposure image fusion aims to generate a single high-dynamic image by integrating images with different exposures. Existing deep learning-based multi-exposure image fusion methods primarily focus on spatial domain fusion, neglecting…

Computer Vision and Pattern Recognition · Computer Science 2023-12-19 Guang Yang , Jie Li , Xinbo Gao

Multi-modal image fusion integrates complementary information from different modalities into a unified representation. Current methods predominantly optimize statistical correlations between modalities, often capturing dataset-induced…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Xue Wang , Zheng Guan , Wenhua Qian , Chengchao Wang , Runzhuo Ma
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