.png){kind=icon}
Return
Real-time wavefront correction using diffractive optical networks
.png){kind=icon}
OA
AI
DOI：10.1364/OE.478492.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Real-time wavefront correction is a challenging problem to present for conventional adaptive optics systems. Here, we present an all-optical system to realize real-time wavefront correction. Using deep learning, the system, which contains only multiple transmissive diffractive layers, is trained to realize high-quality imaging for unknown, random, distorted wavefronts. Once physically fabricated, this passive optical system is physically positioned between the imaging lens and the image plane to all-optically correct unknown, new wavefronts whose wavefront errors are within the training range. Simulated experiments showed that the system designed for the on-axis field of view increases the average imaging Strehl Ratio from 0.32 to 0.94, and the other system intended for multiple fields of view increases the resolvable probability of binary stars from 30.5% to 69.5%. Results suggested that DAOS performed well when performing wavefront correction at the speed of light. The solution of real-time wavefront correction can be applied to other wavelengths and has great application potential in astronomical observation, laser communication, and other fields.
Keywords:
ADAPTIVE OPTICS
SYSTEM
Journal
IF:
3.3
Papers:
6.1W
Citations:
14.3W
Organization
Cited Papers
ShareSaveThe Performance of the Robo-AO Laser Guide Star Adaptive Optics System at the Kitt Peak 2.1 m Telescope.png)
ASTRONOMICAL JOURNAL
OAAI
ASTRONOMICAL JOURNALIF5.1
OAAIShareSaveShareSaveShareSaveShareSaveImproving system performance by using adaptive optics and aperture averaging for laser communications in oceanic turbulenceOPTICS EXPRESSOAAI
OPTICS EXPRESSIF3.3
OAAIShareSaveShareSave
View more