CCI massively expands the potential of emerging high-coherence X-ray sources and paves the way for addressing large fundamental questions such as the contribution of pinning 5, 6, 7, 8 and topology 9, 10, 11, 12 in phase transitions and the role of spin and charge order fluctuations in high-temperature superconductivity 13, 14. Our spatiotemporal data enable us to reconstruct the pinning energy landscape and to thereby explain the dynamics observed on a microscopic level. We uncover an intricate network of transitions between more than 30 discrete states. We apply CCI to study previously inaccessible magnetic fluctuations in a highly degenerate magnetic stripe domain state with nanometre-scale resolution. Temporal resolution down to the acquisition time of a single frame arises independently from an exceptionally low misclassification rate, which we achieve by combining a correlation-based similarity metric 1, 2 with a modified, iterative hierarchical clustering algorithm 3, 4. Contrast and spatial resolution emerge by averaging selectively over same-state frames. Our method begins by classifying recorded camera frames in Fourier space. Here we develop coherent correlation imaging (CCI) to overcome this dilemma. However, their direct observation has so far been impeded by a seemingly fundamental, signal-limited compromise between spatial and temporal resolution. Nature volume 614, pages 256–261 ( 2023) Cite this articleįluctuations and stochastic transitions are ubiquitous in nanometre-scale systems, especially in the presence of disorder.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |