Study and analysis of nature of cladding modes in tilted fiber Bragg gratings and their correlation with grating parameters for design of optimized sensors

Yadvendra Singh; Ahana Sadhu; Sanjeev Kumar Raghuwanshi

doi:10.1117/12.2544259

20 February 2020 Study and analysis of nature of cladding modes in tilted fiber Bragg gratings and their correlation with grating parameters for design of optimized sensors

Yadvendra Singh, Ahana Sadhu, Sanjeev Kumar Raghuwanshi

Author Affiliations +

Proceedings Volume 11233, Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XX; 112331A (2020) https://doi.org/10.1117/12.2544259
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

Cladding resonances generated in a Tilted Fiber Bragg Grating (TFBG) structure are readily employed for sensing purposes. They interact readily with surrounding media and allow for employing accurate refractometric applications. The grating parameters like angle of tilt, length and pitch of grating, have considerable impact on the nature of cladding resonances generated, and it turn, highly govern the specifics of sensing, like dynamic range, sensitivity, controllability, etc. In this paper, an organised and ellaborate study and analysis has been presented, to elucidate the correlation between cladding modes excited and various grating parameters in a TFBG structure. This is intended to facilitate the design of optimized TFBG sensor structures complying with pre-defined measures of sensitivity and dynamic range of operation. It is safe to imply that this study will enable fabrication of optimised sensors, according to pre-defined requirements. All analysis is based on simulations carried out on OptiGrating software and MATLAB.

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Citation Download Citation

Yadvendra Singh, Ahana Sadhu, and Sanjeev Kumar Raghuwanshi "Study and analysis of nature of cladding modes in tilted fiber Bragg gratings and their correlation with grating parameters for design of optimized sensors", Proc. SPIE 11233, Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XX, 112331A (20 February 2020); https://doi.org/10.1117/12.2544259

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