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We provide a technical description and experimental results of the practical development and offline testing of an innovative, closed-loop, adaptive mirror system capable of making rapid, precise and ultra-stable changes in the size and shape of reflected X-ray beams generated at synchrotron light and free-electron laser facilities. The optical surface of a piezoelectric bimorph deformable mirror is continuously monitored at 20 kHz by an array of interferometric sensors. This matrix of height data is autonomously converted into voltage commands that are sent at 1 Hz to the piezo actuators to modify the shape of the mirror optical surface. Hence, users can rapidly switch in closed-loop between pre-calibrated X-ray wavefronts by selecting the corresponding freeform optical profile. This closed-loop monitoring is shown to repeatably bend and stabilize the low- and mid-spatial frequency components of the mirror surface to any given profile with an error <200 pm peak-to-valley, regardless of the recent history of bending and hysteresis. Without closed-loop stabilization after bending, the mirror height profile is shown to drift by hundreds of nanometres, which will slowly distort the X-ray wavefront. The metrology frame that holds the interferometric sensors is designed to be largely insensitive to temperature changes, providing an ultra-stable reference datum to enhance repeatability. We demonstrate an unprecedented level of fast and precise optical control in the X-ray domain: the profile of a macroscopic X-ray mirror of over 0.5 m in length was freely adjusted and stabilized to atomic level height resolution. Aside from demonstrating the extreme sensitivity of the interferometer sensors, this study also highlights the voltage repeatability and stability of the programmable high-voltage power supply, the accuracy of the correction-calculation algorithms and the almost instantaneous response of the bimorph mirror to command voltage pulses. Finally, we demonstrate the robustness of the system by showing that the bimorph mirror's optical surface was not damaged by more than 1 million voltage cycles, including no occurrence of the `junction effect' or weakening of piezoelectric actuator strength. Hence, this hardware combination provides a real time, hyper-precise, temperature-insensitive, closed-loop system which could benefit many optical communities, including EUV lithography, who require sub-nanometre bending control of the mirror form.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11708852 | PMC |
http://dx.doi.org/10.1107/S1600577524011007 | DOI Listing |
G Ital Nefrol
August 2025
Infermiere Professionale SSD Nefrologia e Dialisi P.O. Soverato, ASP CZ.
Management of diabetes mellitus in hemodialysis is highly complex due to increased glycemic variability and hypoglycemic risk. The use of technologies applied to diabetes has been shown to improve glycemic control, however data in dialysis patients are limited. To describe the efficacy and safety of the minimed 780G AHCL system in a stable hemodialysis patient and during hospitalization in the Intensive Care Unit (ICU).
View Article and Find Full Text PDFIn this article, a novel online adaptive control scheme is developed for the optimal control issues of integrated electric-gas systems with partially unknown dynamics, by combining the decentralized event-triggered mechanism and adaptive dynamic programming techniques. Initially, the complex electric-gas coupling network is modeled in the state-space form. By virtue of neural networks (NNs), the NN-based identifier and the critic NN are designed to approximate the unknown drift dynamic and the optimal value function in an online fashion, respectively.
View Article and Find Full Text PDFISA Trans
September 2025
School of Science, Yanshan University, Qinhuangdao Hebei, 066004, PR China. Electronic address:
This article concentrates on the issue of event-triggered dynamic output feedback control for Markovian jump complex dynamical networks (MJCNDs) subject to multiple cyberattacks. To alleviate the communication pressure, a new adaptive event-triggered mechanism (AETM) is proposed. This AETM incorporates a dynamically adjustable parameter and mode-dependent properties to enhance flexibility.
View Article and Find Full Text PDFSci Adv
September 2025
Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China.
Organoids have emerged as powerful models for recapitulating tissue physiology and pathology in biomedical research. However, the need for consistent and complex manufacturing of organoids remains a challenge. The absence of standardization and quality control of cells dispersed within extracellular matrices impedes the widespread application of organoids.
View Article and Find Full Text PDFCNS Neurosci Ther
September 2025
Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, Zhejiang, China.
Aims: Epilepsy affects more than 50 million peolple worldwide and requires reliable seizure detection systems to mitigate risks associated with unpredictable seizures. Existing machine learning frameworks are limited in generalizability, signal fidelity, and clinical translation, particularly when bridging invasive and non-invasive modalities. This study aims to develop a robust and generalizable seizure detection model capable of supporting cross-modal applicability.
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