Raman-induced wavelength shift in chalcogenide microstructure fiber: temperature sensing and machine learning analysis

In this article, we present our analysis of the Raman-induced wavelength shift (RIWS) in configuring high-performance temperature sensor by employing a highly nonlinear Chalcogenide (As₃₀S₇₀) microstructured optical fiber (MOF) having central holes partially filled with Chloroform (CHCl₃). Through precise adjustment of the device parameters, we demonstrate a sensitivity of temperature measurement of ~ 2.6262 nm/^°C in the mid-infrared (MIR) wavelength range. Implementing Artificial Neural Network (ANN) analysis, this sensitivity increases to 2.7039 nm/^°C yielding a temperature resolution of 0.24688 ^°C. To our knowledge, this is the first investigation that specifically addresses RIWS effect in temperature sensing using Chalcogenide fiber at MIR range.