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Published August 2021 | public
Journal Article

Freeform surface adaptive interferometry assisted with simulated annealing-hill climbing algorithm

Abstract

The freeform surface adaptive interferometer (FSAI) recently has been employed to realize the unknown freeform surface metrology. A near null interferogram should be acquired from the initial interferogram with undistinguished fringes even dark areas. The direct optimization object in FSAI is just the interferogram rather than the focusing intensity characterization in traditional wavefront-sensorless (WFS) adaptive systems. The simulated annealing-hill climbing (SA-HC) mixed algorithm is employed in the FSAI, which has much better convergence than the stochastic parallel gradient descent (SPGD) algorithm, almost as much as the genetic algorithm (GA). At the same time, it is much faster than GA and thus applicable to the test of volume-produced in the optical shop. Simulations and experiments validating the algorithm feasibility are presented.

Additional Information

© 2021 Published by Elsevier Ltd. Received 27 September 2020, Revised 5 May 2021, Accepted 12 May 2021, Available online 19 May 2021. Funding: National Natural Science Foundation of China (61705002, 61905001, 41875158); Natural Science Foundation of Anhui Province (1808085QF198, 1908085QF276); Doctoral Start-up Foundation of the Anhui University (J01003208); National Program on Key Research and Development Project of China (2016YFC0301900, 2016YFC0302202). CRediT authorship contribution statement: Lei Zhang: Conceptualization, Methodology, Writing - review & editing, Project administration. Renhu Liu: Writing - original draft, Software. Jinling Wu: Data curation, Visualization. Zhongtao Cheng: Investigation, Software. Sheng Zhou: Validation. Jingsong Li: Supervision. Benli Yu: Resources. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional details

Created:
August 22, 2023
Modified:
October 23, 2023