Supercontinuum Generation at 1310nm in a Highly Nonlinear Photonic Crystal Fiber with a Minimum Anomalous Group Velocity Dispersion

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  • Ashkan Ghanbari1,
  • Ali Sadr2,
  • Hadi Tat Hesari3,
  1. Nano-photonic and Optoelectronic Research Laboratory (NOR Lab), Shahid Rajaee Teacher Training University, Tehran 16788-15811, Iran.
  2. Department of Electrical Engineering, Science and Technology University of Iran, Tehran, Iran
  3. Department of Electrical Engineering, Qazvin Islamic Azad University, Qazvin, Iran

Published in Issue 2024-02-25

How to Cite

Ghanbari, A., Sadr, A., & Tat Hesari, H. (2024). Supercontinuum Generation at 1310nm in a Highly Nonlinear Photonic Crystal Fiber with a Minimum Anomalous Group Velocity Dispersion. Majlesi Journal of Electrical Engineering, 7(4). https://oiccpress.com/mjee/article/view/5255

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Abstract

ABSTRACT:In present study ,we intend to investigate the evolution of supercontinuum generation (SCG) through triangular photonic crystal fiber (PCF) at 1310nm by using both full-vector multipole method (M.P.M) and novel concrete algorithms: symmetric  split-step fourier (SSF) and  fourth order runge kutta (RK4) which is an accurate method to solve the general  nonlinear schrodinger equation (GNLSE). We propose an ideal  solid-core PCF structure featuring a minimum anomalous  group velocity dispersion (GVD), small higher order dispersions (HODs) and enhanced nonlinearity for appropriate  supercontinuum generation with low  input  pulse energies over discrete distances of the PCF. We also investigate the impact of linear and nonlinear effects on supercontinuum spectra in detail and compare the results with different status .å¨1310çé«éç·æ§åå­æ¶é«åçºçæå°å常群é度è²æ£ç¢çè¶æè¦æè¦ï¼å¨æ¬ç ç©¶ä¸­ï¼æåæç®åæ使ç¨å¨ç¢éå¤æ¥µæ³ï¼MPMï¼åæ°ç©çå·é«ç®æ³ï¼èª¿æ¥ç¢çè¶ï¼SCGï¼ééå¨1310ä¸è§å½¢åå­æ¶é«åçºï¼PCFï¼çæ¼è®ï¼å°ç¨±åæ­¥åéèï¼SSFï¼å第åéé¾æ ¼åº«å¡ï¼RK4ï¼ï¼éæ¯è§£æ±ºä¸è¬éç·æ§èå®è«¤æ¹ç¨ï¼GNLSEï¼ä¸ç¨®ç²¾ç¢ºçæ¹æ³ãæåæåºä¸åçæ³ç實è¯PCFçµæ§è¨­ææä½å常群é度è²æ£ï¼GVDï¼ï¼å°é«éåæ£é«ï¼é¨éé¦é·ï¼åå¢å¼·çéç·æ§é©ç¶çè¶é£çºè¶éäºPCFçé¢æ£è·é¢ï¼ä½è¼¸å¥çèè¡è½éãæåéç ç©¶çç·æ§åéç·æ§ææçè¶é£çºåè­è©³ç´°çå½±é¿ï¼ä¸¦èä¸åççæçæ¯è¼çµæã

Keywords

  • Cloud computing, DDoS attacks, Machine Learning, deep learning techniques, . ,
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