Hundred-Watt-Level Supercontinuum Spectrum Generation Based on Photonic Crystal Fiber

2017 ◽  
Vol 44 (2) ◽  
pp. 0201018
Author(s):  
赵 磊 Zhao Lei ◽  
李 超 Li Chao ◽  
黎 玥 Li Yue ◽  
王 琳 Wang Lin ◽  
张昊宇 Zhang Haoyu
2008 ◽  
Vol 1 (1-2) ◽  
pp. 75-78 ◽  
Author(s):  
Wei Chen ◽  
Jinyan Li ◽  
Shiyu Li ◽  
Zuowen Jiang ◽  
Haiqing Li ◽  
...  

2013 ◽  
Vol 38 (4) ◽  
pp. 443 ◽  
Author(s):  
Tongxiao Jiang ◽  
Guizhong Wang ◽  
Wei Zhang ◽  
Chen Li ◽  
Aimin Wang ◽  
...  

2018 ◽  
Vol 4 (2) ◽  
pp. 53-58
Author(s):  
Feroza Begum ◽  
Hazwani Suhaimi ◽  
Norazanita Shamsuddin ◽  
Martin Geoffrey Blundell ◽  
Yoshinori Namihira

This paper investigates a supercontinuum generated high power highly nonlinear photonic crystal fiber for medical and optical communication applications. The full vector finite difference method with perfectly matched layer is used as an analysis tool. Numerical simulation results show that it is possible to achieve high nonlinear coefficient, near zero ultra-flattened dispersion, low confinement loss and supercontinuum spectrum with high power. Moreover, numerical results show that short length of the proposed photonic crystal fiber is achieved. The numerical simulation results of supercontinuum generation is conducted by solving the generalized nonlinear Schrödinger equation with the split-step Fourier method. It is observed adequate supercontinuum spectrum that broaden from 960 to 1870 nm by considering center wavelengths of 1.06, 1.31, and 1.55 μm into silica based index guiding photonic crystal fiber. This simulation results prove that the proposed design of a highly nonlinear photonic crystal fiber is a great solution for broad supercontinuum generation with high power.


2018 ◽  
Vol 1 (1) ◽  
pp. 2-19
Author(s):  
Mahmood Sh. Majeed ◽  
Raid W. Daoud

A new method proposed in this paper to compute the fitness in Genetic Algorithms (GAs). In this new method the number of regions, which assigned for the population, divides the time. The fitness computation here differ from the previous methods, by compute it for each portion of the population as first pass, then the second pass begin to compute the fitness for population that lye in the portion which have bigger fitness value. The crossover and mutation and other GAs operator will do its work only for biggest fitness portion of the population. In this method, we can get a suitable and accurate group of proper solution for indexed profile of the photonic crystal fiber (PCF).


2009 ◽  
Vol 129 (4) ◽  
pp. 601-607
Author(s):  
Shubi F. Kaijage ◽  
Yoshinori Namihira ◽  
Nguyen H. Hai ◽  
Feroza Begum ◽  
S. M. Abdur Razzak ◽  
...  

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