Conception de Capteur à Base des Fibres Optiques.

Abstract

This research explores the potential of photonic crystal fibers (PCF) for the design of high- sensitivity sensors, addressing the growing demand for effective detection solutions across

various fields, such as high flexibility in guiding light and strong interaction between the fiber core and the external environment. The thesis focuses on the numerical modeling of PCFs, allowing for the identification of key geometric parameters that influence their optical properties and, consequently, the sensitivity of the sensors. The numerical technique used to simulate light propagation is the Beam Propagation Method

(BPM). This method is useful for modeling the evolution of electromagnetic fields in non- homogeneous optical guiding devices, which is essential for designing sensitive and efficient

optical sensors. The contributions of this thesis open up new promising perspectives for the development of PCF-based sensors, offering innovative solutions for various applications, particularly in health, environmental, and industrial fields. The study proposes future research directions, including the integration of nanomaterials into PCF structures, the development of multiparameter sensors, and the optimization of fabrication techniques. The results of the thesis highlight the potential of PCFs for creating high-sensitivity, optimally performing sensors, thus contributing to the advancement of detection and monitoring technologies.