Laboratory demonstration of single-camera PPPP wavefront sensing using neural networks

Gonzalez-Gutierrez, Carlos; Bharmal, Nazim Ali; Rodriguez-Muro, Jorge; Buendia-Roca, Alejandro; Yang, Huizhe; Fitzpatrick, Laurence W.; Morris, Timothy J.; de Cos Juez, Francisco Javier

Abstract

Laser guide stars in astronomical adaptive optics systems have the focus anisoplanatism problem, especially for telescopes larger than 4 m in diameter. The Projected Pupil Plane Pattern (PPPP) offers an alternative solution by projecting a collimated laser beam across the telescope’s entire pupil. One significant challenge is dealing with gain-related issues, necessitating the use of two beam profiles obtained simultaneously from two different distances from the telescope pupil. In this work, we explore the integration of a convolutional neural network (CNN) with experimental data emulating PPPP. We investigate how CNNs can significantly simplify the PPPP design by enabling operation with a single beam profile. These results permit the development of the PPPP concept to use a single beam profile without distance-gain degeneracy. In this work, it is shown that a 10% residual error can be achieved for test data randomly chosen over the SNR range of 4 to 12.

Citation

Gonzalez-Gutierrez, C., Bharmal, N. A., Rodriguez-Muro, J., Buendia-Roca, A., Yang, H., Fitzpatrick, L. W., Morris, T. J., & de Cos Juez, F. J. (2024). Laboratory demonstration of single-camera PPPP wavefront sensing using neural networks. International Journal of Optomechatronics, 18(1), Article 2386985. https://doi.org/10.1080/15599612.2024.2386985

• Journal Article Type: Article
• Acceptance Date: Jul 29, 2024
• Online Publication Date: Aug 21, 2024
• Publication Date: Aug 21, 2024
• Deposit Date: Sep 10, 2024
• Publicly Available Date: Sep 10, 2024
• Journal: International Journal of Optomechatronics
• Print ISSN: 1559-9612
• Electronic ISSN: 1559-9620
• Publisher: Taylor and Francis Group
• Peer Reviewed: Peer Reviewed
• Volume: 18
• Issue: 1
• Article Number: 2386985
• DOI: https://doi.org/10.1080/15599612.2024.2386985
• Public URL: https://durham-repository.worktribe.com/output/2853614
• Additional Information: Peer Review Statement: The publishing and review policy for this title is described in its Aims & Scope.; Aim & Scope: http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=uopt20; Published: 2024-08-21