scholarly journals Deep Learning: Deep Learning Based Recognition of Different Mode Bases in Ring‐Core Fiber (Laser Photonics Rev. 14(11)/2020)

2020 ◽  
Vol 14 (11) ◽  
pp. 2070061
Author(s):  
Lulu Wang ◽  
Zhengsen Ruan ◽  
Hongya Wang ◽  
Lei Shen ◽  
Lei Zhang ◽  
...  
2020 ◽  
Vol 14 (11) ◽  
pp. 2000249
Author(s):  
Lulu Wang ◽  
Zhengsen Ruan ◽  
Hongya Wang ◽  
Lei Shen ◽  
Lei Zhang ◽  
...  
Keyword(s):  

Laser Physics ◽  
2015 ◽  
Vol 26 (1) ◽  
pp. 015102
Author(s):  
Y H Qi ◽  
J Sun ◽  
W X Jin ◽  
Y D Lian ◽  
Y C Jiang ◽  
...  

2020 ◽  
Vol 117 (19) ◽  
pp. 191101
Author(s):  
Wenpu Geng ◽  
Yiqiao Li ◽  
Yuxi Fang ◽  
Yingning Wang ◽  
Changjing Bao ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yazhou Wang ◽  
Yuyang Feng ◽  
Abubakar I. Adamu ◽  
Manoj K. Dasa ◽  
J. E. Antonio-Lopez ◽  
...  

AbstractDevelopment of novel mid-infrared (MIR) lasers could ultimately boost emerging detection technologies towards innovative spectroscopic and imaging solutions. Photoacoustic (PA) modality has been heralded for years as one of the most powerful detection tools enabling high signal-to-noise ratio analysis. Here, we demonstrate a novel, compact and sensitive MIR-PA system for carbon dioxide (CO2) monitoring at its strongest absorption band by combining a gas-filled fiber laser and PA technology. Specifically, the PA signals were excited by a custom-made hydrogen (H2) based MIR Raman fiber laser source with a pulse energy of ⁓ 18 μJ, quantum efficiency of ⁓ 80% and peak power of ⁓ 3.9 kW. A CO2 detection limit of 605 ppbv was attained from the Allan deviation. This work constitutes an alternative method for advanced high-sensitivity gas detection.


2004 ◽  
Vol 12 (25) ◽  
pp. 6088 ◽  
Author(s):  
Y. Jeong ◽  
J. K. Sahu ◽  
D. N. Payne ◽  
J. Nilsson

Author(s):  
Haozhe Yan ◽  
Shangyuan Li ◽  
Boyu Chen ◽  
Luxin Yang ◽  
Xiaoping Zheng ◽  
...  

Author(s):  
Clémence Jollivet ◽  
Daniel Flamm ◽  
Michael Duparré ◽  
Kay Schuster ◽  
Stephan Grimm ◽  
...  
Keyword(s):  

2009 ◽  
Vol 6 (10) ◽  
pp. 723-726 ◽  
Author(s):  
Y.J. Zhang ◽  
W. Wang ◽  
S.F. Song ◽  
Z.G. Wang

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