[17a-A32-1~11] 3.1 Basic optics and frontier of optics

11:30 AM - 11:45 AM JST(2:30 AM - 2:45 AM UTC)English Presentation

[17a-A32-10] Classification of Intensity Degenerate Experimental OAM Speckles via Astigmatic Transformation

〇(D)Chayanika Sharma¹, Purnesh Singh Badavath¹, Vijay Kumar¹ (1.NIT Warangal India)

Keywords:

Orbital Angular Momentum,Speckle,Convolutional Neural Network

Orbital Angular Momentum (OAM) beams are pivotal in advancing optical communication systems due to their high-dimensional state space, ideal for multiplexing. The classification of OAM modes is challenging due to the identical-looking intensity patterns of intensity degenerate modes. This study focuses on classifying the speckles of OAM beams, which are uniquely generated from each mode. The inherent symmetry in these speckles can be broken by introducing astigmatism with a cylindrical lens. Two Fourier Transform (FT) systems were experimentally implemented in this study: 1f and 2f FT systems. Convolutional neural networks (CNNs) were utilized to classify the speckles of corresponding modes in both setups. The 1f system demonstrated a remarkable classification accuracy of 96%, while the 2f system achieved an accuracy of 89%. These results underscore the effectiveness of astigmatic transformation in improving the classification of intensity degenerate OAM beams, potentially enhancing the capacity and reliability of optical communication systems.