98%
921
2 minutes
20
All-reflective interferometer configurations have been proposed for the next generation of gravitational wave detectors, with diffractive elements replacing transmissive optics. However, an additional phase noise creates more stringent conditions for alignment stability. A framework for alignment stability with the use of diffractive elements was required using a Gaussian model. We successfully create such a framework involving modal decomposition to replicate small displacements of the beam (or grating) and show that the modal model does not contain the phase changes seen in an otherwise geometric planewave approach. The modal decomposition description is justified by verifying experimentally that the phase of a diffracted Gaussian beam is independent of the beam shape, achieved by comparing the phase change between a zero-order and first-order mode beam. To interpret our findings we employ a rigorous time-domain simulation to demonstrate that the phase changes resulting from a modal decomposition are correct, provided that the coordinate system which measures the phase is moved simultaneously with the effective beam displacement. This indeed corresponds to the phase change observed in the geometric planewave model. The change in the coordinate system does not instinctively occur within the analytical framework, and therefore requires either a manual change in the coordinate system or an addition of the geometric planewave phase factor.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1364/OE.21.029578 | DOI Listing |
Sensors (Basel)
August 2025
College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010080, China.
Soft sensors have emerged as indispensable tools for predicting dissolved gas concentrations in transformer oil-critical indicators for fault diagnosis that defy direct measurement. Addressing the persistent challenge of prediction inaccuracy in existing methods, this study introduces a novel hybrid architecture integrating time-series decomposition, deep learning prediction, and signal reconstruction. Our approach initiates with variational mode decomposition (VMD) to disassemble original gas concentration sequences into stationary intrinsic mode functions (IMFs).
View Article and Find Full Text PDFSensors (Basel)
August 2025
Key Laboratory of Complex Energy Conversion and Efficient Utilization of Liaoning Province, School of Energy and Power Engineering, Dalian University of Technology, Dalian 116081, China.
This paper investigates the inverse reconstruction of temperature fields under both steady-state and transient heat conduction scenarios. The central contribution lies in the structured development and validation of the Gappy Clustering-based Proper Orthogonal Decomposition (Gappy C-POD) method-an approach that, despite its conceptual origin alongside the clustering-based dimensionality reduction method guided by POD structures (C-POD), had previously lacked an explicit algorithmic framework or experimental validation. To this end, the study constructs a comprehensive solution framework that integrates sparse sensor layout optimization with data-driven field reconstruction techniques.
View Article and Find Full Text PDFNat Commun
August 2025
Institute of Physics, University of Graz, NAWI Graz, Graz, Austria.
Efficient and precise information storage and processing using light's various degrees of freedom - intensity, phase, and polarization - have vast applications in modern photonics. The corresponding utilization necessitates the accurate measurement and decomposition of arbitrary spatial modes into their orthogonal components. In this paper, we introduce a new modal decomposition technique based on a 16-pixel reconfigurable photonic integrated circuit programmed as a spatial mode decomposer.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2026
College of Software, Xinjiang University, Urumqi 830046, China.. Electronic address:
In today's medical diagnosis field, accurate diagnosis of many diseases plays an important role. As emerging non-invasive diagnostic technologies, Raman spectroscopy and infrared spectroscopy have shown unique advantages in the detection of disease characteristic markers due to their advantages such as high sensitivity and specificity. However, the diagnosis of some diseases by using only Raman or infrared single-spectral technology is relatively insufficient.
View Article and Find Full Text PDFJ Chem Phys
August 2025
Faculty of Synthetic Biology, Shenzhen University of Advanced Technology, Shenzhen 518107, China.
The pumpkin-like supramolecular container Cucurbit[8]uril (CB8) is a promising drug carrier and detoxifier that stably coordinates a series of structurally diverse guests with high association constants. Its methylated form, Me4CB8, achieves better solubility yet maintains its biocompatibility, thus serving as a promising supramolecular container. Host-guest binding involving the methylated ring is difficult to model due to the lack of an accurate transferable force field and the complex binding-mode space when coordinating structurally complex abused drugs (e.
View Article and Find Full Text PDF