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Express"],"published-print":{"date-parts":[[2026,10,5]]},"abstract":"<jats:p>Large-aperture optical surfaces are difficult to measure at full aperture because of the limited aperture of interferometers. Although subaperture stitching can reconstruct the full-aperture surface, its accuracy is often degraded by subaperture positioning errors. To address this issue, we propose TRR-FPC (full phase calibration), a subaperture stitching method based on the trust region reflective (TRR) algorithm. A six-degree-of-freedom (6-DOF) rigid-body transformation model is established to characterize the relative poses among subapertures, and an objective function based on overlap-region residuals is optimized to estimate and compensate for pose errors. By jointly optimizing all subapertures in a unified coordinate system, TRR-FPC reduces error accumulation during stitching. Numerical simulations and optical flat stitching experiments were conducted to evaluate the proposed method. Experimental results show that, compared with least-squares (LSQ) and iterative closest point (ICP) methods, TRR-FPC reduces the peak-to-valley (PV) and root-mean-square (RMS) values of the difference phase by 13\u201320%, while better preserving low-order Zernike structure. These results indicate that TRR-FPC effectively suppresses pose-induced stitching errors and improves full-aperture reconstruction accuracy.<\/jats:p>","DOI":"10.1364\/oe.608339","type":"journal-article","created":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T08:00:07Z","timestamp":1789632007000},"page":"37971","update-policy":"https:\/\/doi.org\/10.1364\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Subaperture stitching measurement for optical components based on the trust region reflective algorithm"],"prefix":"10.1364","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4703-3013","authenticated-orcid":true,"given":"Meiqi","family":"Zhao","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/05qbk4x57","id-type":"ROR","asserted-by":"publisher"}]},{"name":"Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weihao","family":"Wang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenxi","family":"Zhang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/05qbk4x57","id-type":"ROR","asserted-by":"publisher"}]},{"name":"Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"285","published-online":{"date-parts":[[2026,9,29]]},"reference":[{"key":"oe-34-20-37971-R1","doi-asserted-by":"publisher","first-page":"1330","DOI":"10.1360\/N972015-00975","type":"journal-article","volume":"61","author":"Shi","year":"2016","journal-title":"Chin. 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