Energy-pooling processes of high-lying Xe atoms under the condition of ultrahigh pumped power

Author(s):  
Shan He ◽  
Dong Liu ◽  
Xueyang Li ◽  
Jingwei Guo ◽  
Jinbo Liu ◽  
...  
Keyword(s):  
2016 ◽  
Vol 4 ◽  
Author(s):  
Guofei An ◽  
You Wang ◽  
Juhong Han ◽  
He Cai ◽  
Zhigang Jiang ◽  
...  

A diode-pumped alkali laser (DPAL) provides the significant promise for high-powered performances. In this paper, a mathematical model is introduced for examination of the kinetic processes of a diode-pumped cesium vapor hollow-core photonic-crystal fiber (HC-PCF) laser, in which the cesium vapor is filled in the center hole of a photonic-bandgap fiber instead of a glass cell. The influence of deleterious processes including energy pooling, photo-ionization, and Penning ionization on the physical features of a fiber DPAL is studied in this report. It has been theoretically demonstrated that the deleterious processes cannot be ignored in a high-powered fiber-DPAL system.


2002 ◽  
Vol 116 (18) ◽  
pp. 8079-8092 ◽  
Author(s):  
S. A. Corcelli ◽  
J. C. Tully

1998 ◽  
Vol 58 (3) ◽  
pp. 2136-2147 ◽  
Author(s):  
Harold V. Parks ◽  
Eileen M. Spain ◽  
John E. Smedley ◽  
Stephen R. Leone

1999 ◽  
Author(s):  
Chang-yong Li ◽  
Liantuan Xiao ◽  
Qian Li ◽  
Suotang Jia ◽  
Guosheng Zhou

Entropy ◽  
2018 ◽  
Vol 20 (12) ◽  
pp. 990 ◽  
Author(s):  
Sheng Shen ◽  
Honghui Yang ◽  
Junhao Li ◽  
Guanghui Xu ◽  
Meiping Sheng

Detecting and classifying ships based on radiated noise provide practical guidelines for the reduction of underwater noise footprint of shipping. In this paper, the detection and classification are implemented by auditory inspired convolutional neural networks trained from raw underwater acoustic signal. The proposed model includes three parts. The first part is performed by a multi-scale 1D time convolutional layer initialized by auditory filter banks. Signals are decomposed into frequency components by convolution operation. In the second part, the decomposed signals are converted into frequency domain by permute layer and energy pooling layer to form frequency distribution in auditory cortex. Then, 2D frequency convolutional layers are applied to discover spectro-temporal patterns, as well as preserve locality and reduce spectral variations in ship noise. In the third part, the whole model is optimized with an objective function of classification to obtain appropriate auditory filters and feature representations that are correlative with ship categories. The optimization reflects the plasticity of auditory system. Experiments on five ship types and background noise show that the proposed approach achieved an overall classification accuracy of 79.2%, which improved by 6% compared to conventional approaches. Auditory filter banks were adaptive in shape to improve accuracy of classification.


1995 ◽  
Author(s):  
G. Pichler ◽  
D. Azinović ◽  
S. Milošević

1992 ◽  
Vol 25 (12) ◽  
pp. 2841-2861 ◽  
Author(s):  
J H Nijland ◽  
J A de Gouw ◽  
H A Dijkerman ◽  
H G M Heideman

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