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The calibration of the tertiary mirror of the Thirty Meter Telescope, also known as the giant science steering mirror (GSSM), is a step of great significance during its testing process. Systematic, drift, and random errors constitute the major limitations to the accuracy of the calibration measurements. In this article, we estimated the errors in the calibration of the GSSM with a laser tracker. For the systematic error, a measurement strategy based on the standard bar method was successfully designed and applied. At the same time, we can distinguish between the drift and random errors by means of a correlation analysis. The systematic error, which depends strongly on the configuration of the system formed by the GSSM and the laser tracker, was estimated to be 20 μm for the GSSM prototype. The random error, averaging 15 min, was about 4 μm. The correlation coefficients among three different noise measurements are all lower than 0.1, which indicates that the noise is dominated by random errors. Finally, the error can be sufficiently suppressed by rearranging the position of the spherically mounted retroreflectors. The result shows that the accuracy of the measurement can be improved by 21.4% with the new arrangement method.
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http://dx.doi.org/10.1364/AO.55.008884 | DOI Listing |
As integrated circuit (IC) manufacturing advances toward smaller technology nodes, conventional lithography methods are increasingly challenged by the diffraction-limited resolution, escalating process complexity, and rising costs. Among these challenges, overlays have a particularly pronounced impact on manufacturing quality. To address this issue, this paper proposes a high-order overlay correction model that employs a two-dimensional fifth-order polynomial to accurately fit and characterize the distribution of overlays.
View Article and Find Full Text PDFBiometrika
December 2024
Department of Biostatistics, Johns Hopkins University, 605 N Wolfe Street, Baltimore, Maryland 21215, U.S.A.
This article addresses the asymptotic performance of popular spatial regression estimators of the linear effect of an exposure on an outcome under spatial confounding, the presence of an unmeasured spatially structured variable influencing both the exposure and the outcome. We first show that the estimators from ordinary least squares and restricted spatial regression are asymptotically biased under spatial confounding. We then prove a novel result on the infill consistency of the generalized least squares estimator using a working covariance matrix from a Matérn or squared exponential kernel, in the presence of spatial confounding.
View Article and Find Full Text PDFCureus
September 2025
Rheumatology, University Hospitals Coventry & Warwickshire, Coventry, GBR.
Complex regional pain syndrome (CRPS) is a debilitating chronic pain condition that may develop after fractures, surgery, or soft tissue trauma. It is characterized by pain disproportionate to the initial injury, often accompanied by sensory, motor, autonomic, and trophic changes. Despite extensive research, pathophysiology remains unclear, and treatment approaches are varied, with inconsistent supporting evidence.
View Article and Find Full Text PDFWomens Health Rep (New Rochelle)
July 2025
Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Background: Although the postpartum period is an opportunity to promote long-term well-being and health systems usage, system complexities limit patients' abilities to optimize their longitudinal health. Postpartum patient navigation, an intervention that assists individuals in navigating health systems, is a novel innovation that may mitigate barriers to longitudinal care.
Methods: Within a recently completed randomized controlled trial (RCT), we conducted a secondary analysis of interviews with two navigators and a subset ( = 15) of navigated participants to describe gaps in the health care system.
Ophthalmol Sci
July 2025
Glaucoma Division, Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Purpose: To investigate global longitudinal structure-function (SF) relationships between macular ganglion cell complex (GCC) thickness and central visual field (VF) mean deviation (MD) rates of change using a Bayesian joint bivariate longitudinal model.
Design: Prospective cohort study.
Participants: One hundred seventeen eyes from 117 patients with glaucoma with central damage or moderate to advanced glaucoma were included.