arXiv Open Access 2025

Deep learning-driven adaptive optics for laser wavefront correction

Jikai Wang Sven Burckhard Sonam Smitha Ravi Dominik Bauer Volker Rominger +2 lainnya

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Abstrak

{We report on an intensity-only and deep-learning based method for laser beam characterization that allows to predict the underlying optical field within milliseconds. A simple near-field / far-field camera setup enables online control of an adaptive optics to optimize beam quality. The robustness and precision of the method is enhanced by applying the concept of phase diversity based on spiral phase plates.

Topik & Kata Kunci

physics.optics

Penulis (7)

Jikai Wang

Sven Burckhard

Sonam Smitha Ravi

Dominik Bauer

Volker Rominger

Stefan Nolte

Daniel Flamm

Format Sitasi

APA MLA BibTeX

Wang, J., Burckhard, S., Ravi, S.S., Bauer, D., Rominger, V., Nolte, S. et al. (2025). Deep learning-driven adaptive optics for laser wavefront correction. https://arxiv.org/abs/2509.10662

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓