Poster + Paper
28 September 2023 Soft x-ray vector ptycho-tomography: a new quantitative vector nanoimaging method for spin textures in 3D
Author Affiliations +
Conference Poster
Abstract
Understanding topological spin textures is important because of scientific interests and technological applications. However, observing nanoscale magnetization and mapping out their interactions in 3D have been challenging–due to the lack of nondestructive vector nanoimaging techniques that penetrate thick samples. Recently, we developed a new characterization technique, soft x-ray vector ptycho-tomography, to image spin textures with a 3D vector spatial resolution of 10 nm. Using 3D magnetic metamaterial as an example, we demonstrated the creation and observation of topological magnetic monopoles and their interactions. We expect this method to be applied broadly to image vector fields in magnetic samples and beyond.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Chen-Ting Liao, Arjun Rana, Ezio Iacocca, Ji Zou, Minh Pham, Xingyuan Lu, Emma-Elizabeth Cating Subramanian, Yuan Hung Lo, Sinéad A. Ryan, Charles S. Bevis, Robert M. Karl Jr., Andrew J. Glaid, Jeffrey Rable, Pratibha Mahale, Joel Hirst, Thomas Ostler, William Liu, Colum M. O’Leary, Young-Sang Yu, Karen Bustillo, Hendrik Ohldag, David A. Shapiro, Sadegh Yazdi, Thomas E. Mallouk, Stanley J. Osher, Henry C. Kapteyn, Vincent H. Crespi, John V. Badding, Yaroslav Tserkovnyak, Margaret M. Murnane, and Jianwei Miao "Soft x-ray vector ptycho-tomography: a new quantitative vector nanoimaging method for spin textures in 3D", Proc. SPIE 12656, Spintronics XVI, 126560U (28 September 2023); https://doi.org/10.1117/12.2679845
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KEYWORDS
Magnetism

X-rays

3D image processing

Coherence imaging

Physics

X-ray imaging

Nanoimaging

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