Suppression of DWS-based angular errors via refined Gaussian interferometric models in space gravitational wave detection

Differential Wavefront Sensing (DWS) is sensitive to laser intensity inhomogeneity, leading to measurement errors and parasitic tilting. Therefore, a high-precision numerical model has been developed to elucidate the mechanisms of comprehensive error sources for DWS. Simulation results identify lateral offset as the dominant error source. To mitigate this effect, we implement post-processing subtraction to elevate the angular accuracy to 98.4%. Subsequently, an enhanced analytical model explicitly linking lateral offset to DWS with two Gaussian beams interference is derived for the first time. Based on error sources contributions, our designed heterodyne interferometer error margins below 6.3 μrad within the angular range of ±500 μrad. Experimental results demonstrate that accuracy levels of 98% and 89% are attained by the improved numerical model and enhanced analytical model, respectively. Compared to previous Gaussian-Gaussian interference approaches, our refined models offer superior precision, especially for extended measurement ranges. The results clearly confirm the effectiveness and practicality of the proposed methods. Those approaches provide valuable insights for DWS measurement systems and space gravitational wave detection.

Authors

Institutions

Publication Details

Journal
Optics Express
Published
2025-08-20
DOI
https://doi.org/10.1364/oe.571905
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Suppression of DWS-based angular errors via refined Gaussian interferometric models in space gravitational wave detection

Wei Tang, Ruihong Gao, Yongmei Huang, Junfeng Han et al.
Optics Express
Geophysics and Gravity Measurements
article

Suppression of DWS-based angular errors via refined Gaussian interferometric models in space gravitational wave detection

Wei Tang, Ruihong Gao, Yongmei Huang, Junfeng Han, Chen Wang, Hongming Zhang, Mengyang Zhao, Dong He, Qiang Wang, Hongyang Guo, Caiwen Ma, Yang Li, C. D. Fu
article en

Abstract

Differential Wavefront Sensing (DWS) is sensitive to laser intensity inhomogeneity, leading to measurement errors and parasitic tilting. Therefore, a high-precision numerical model has been developed to elucidate the mechanisms of comprehensive error sources for DWS. Simulation results identify lateral offset as the dominant error source. To mitigate this effect, we implement post-processing subtraction to elevate the angular accuracy to 98.4%. Subsequently, an enhanced analytical model explicitly linking lateral offset to DWS with two Gaussian beams interference is derived for the first time. Based on error sources contributions, our designed heterodyne interferometer error margins below 6.3 μrad within the angular range of ±500 μrad. Experimental results demonstrate that accuracy levels of 98% and 89% are attained by the improved numerical model and enhanced analytical model, respectively. Compared to previous Gaussian-Gaussian interference approaches, our refined models offer superior precision, especially for extended measurement ranges. The results clearly confirm the effectiveness and practicality of the proposed methods. Those approaches provide valuable insights for DWS measurement systems and space gravitational wave detection.

Optics ExpressVol. 33(19)
Yangtze Optical Electronic (China) (CN), Institute of Optics and Electronics, Chinese Academy of Sciences (CN), Institute for Advanced Study (DE), Xi'an Institute of Optics and Precision Mechanics (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 78%
Geophysics and Gravity Measurements
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.