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27 April 2009Design of photonic crystal fiber long-period grating refractive index sensor
Numerical optimization of photonic crystal fiber (PCF) structures for refractive index sensors based on long
period gratings inscribed in PCFs has been performed. The optimization procedure employs the Nelder-Mead
downhill simplex algorithm. This direct-search method attempts to minimize a scalar-valued nonlinear function
of N real variables (called the objective function) using only function values, without any derivative information.
An inverse design approach utilizes the objective function constructed using desired sensing characteristics. For
the modal analysis of the PCF structure a fully-vectorial solver based on the finite element method is called by the
objective function. The dispersion optimization of PCFs is aimed at achieving a high sensitivity of measurement
of refractive index of analytes infiltrated into the air holes for the refractive index and probe wavelength ranges
of interest. We have restricted our work to the index-guiding solid-core PCF structures with hexagonally arrayed
air holes.
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Jiri Kanka, Yinian Zhu, Zonghu He, Henry Du, "Design of photonic crystal fiber long-period grating refractive index sensor," Proc. SPIE 7316, Fiber Optic Sensors and Applications VI, 73161D (27 April 2009); https://doi.org/10.1117/12.819328