Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Stabilizing Coherently Combined Beam Power using a Robust Learning Algorithm

Not Accessible

Your library or personal account may give you access

Abstract

A machine-learning phase stabilizer for 8-beam diffractive coherent combination controls output power to < 0.4% RMS, using interference pattern recognition. The learning neural network is trained while combiner phases drift, using a two-state dither scheme.

© 2021 The Author(s)

PDF Article
More Like This
CALIPR: Coherent Addition using Learned Interference Pattern Recognition

Dan Wang, Qiang Du, Tong Zhou, Christos Bakalis, Derun Li, and Russell Wilcox
JM3A.22 Advanced Solid State Lasers (ASSL) 2021

Artificial Neural Networks Applied to Stabilization of 81-beam Coherent Combining

Dan Wang, Qiang Du, Tong Zhou, Bashir Mohammed, Mariam Kiran, Derun Li, and Russell Wilcox
ATu4A.6 Advanced Solid State Lasers (ASSL) 2020

Deep Reinforcement Learning based Control for two-dimensional Coherent Combining

Bashir Mohammed, Mariam Kiran, Dan Wang, Qiang Du, and Russell Wilcox
JTu5A.7 Advanced Solid State Lasers (ASSL) 2020

Poster Presentation

Media 1: PDF (2148 KB)     
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved