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Ol 51 9 2512 by bharathy.j.123 is a document available to read on EtoBox.

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The document presents PINN-Pyr, a physics-informed neural network designed for self-supervised wavefront reconstruction in non-modulated pyramid wavefront sensing (PWFS). This method integrates a differentiable forward optical model into a U-Net architecture, enabling accurate phase recovery under strong turbulence without the need for large labeled datasets. The results demonstrate that PINN-Pyr significantly outperforms traditional linear reconstructors and pure deep learning methods, providing a robust s

Author
bharathy.j.123
Language
EN