Freiburg 2024 – scientific programme

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Q: Fachverband Quantenoptik und Photonik

Q 39: Poster V

Q 39.10: Poster

Wednesday, March 13, 2024, 17:00–19:00, Aula Foyer

Temperature Adaptable Supercontinuum Generation in Liquid-filled Fibers by Using Particle Swarm Optimization — •Johannes Hofmann, Ramona Scheibinger, and Markus A. Schmidt — Leibniz-Institute of Photonic Technology, Jena, Germany

Light sources in the IR regime with high spectral density and coherence are of great interest for e.g. spectroscopic approaches in life and environmental science. Supercontinuum (SC) generation due to nonlinear broadening of laser pulses in optical fibers with suitable dispersion profiles can meet the requirement of application specific spectral properties. Liquid-filled fibers offer the opportunity to modify the output spectra by temperature changes due to their large thermo-optic coefficient. Higher-order modes excited in CS2-filled step index fibers exhibit two zero-dispersion wavelengths (ZDW) which strongly shift with temperature. Pumping within the anomalous dispersion regime, the soliton dynamics can be modified and dispersive waves shift. In contrast to other methods of dispersion variation, such as varying the fiber geometry, controlling the temperature is not static, but highly variable. In addition, using a suitable optimization algorithm, such as Particle Swarm Optimization (PSO) the spectral output features can be tuned to desired SC properties, e.g., maximizing the spectral intensity at one or more targeted wavelengths. Here, we investigate and shape the spectral evolution along a liquid-core fiber by applying a PSO to numerical SC generation simulations. Additionally, we present a automated experimental concept to achieve thermodynamic control of the fiber, leading to an adaptable output spectrum.

Keywords: Supercontinuum Generation; Fiber Optics; Liquid-filled Fibers; Particle Swarm Optimization; Dispersioncontrol