Characterization of Autofluorescence in Optical Fibers for NV-based Sensing Applications
Stefan Johansson, Alexander Bukschat, Dennis L\"onard, Alena Erlenbach, Jonas Gutsche, and Artur Widera

TL;DR
This study analyzes autofluorescence in optical fibers to identify types and conditions that minimize background signals, thereby enhancing the sensitivity of NV-based quantum sensors.
Contribution
It provides a detailed spectral characterization of fiber autofluorescence, guiding optimal fiber selection for improved quantum sensing performance.
Findings
Certain fiber types exhibit minimal autofluorescence at specific wavelengths.
Autofluorescence scales with excitation power and varies with fiber material.
Spectral components responsible for background signals are identified.
Abstract
Optical fibers are crucial for guiding light in various sensing applications. Especially for quantum sensors such as the nitrogen-vacancy (NV) center in diamond, they enable light control and device miniaturization. However, fluorescence and scattering within the fiber, often referred to as fiber background, autofluorescence, or autoluminescence, can overlap spectrally with the NV centers' fluorescence, degrading the signal-to-noise ratio and thus limiting sensor sensitivity. Here, we investigate the optical spectra of standard optical fibers, considering material dependencies, physical influences, and their fluorescence scaling with excitation power and wavelength. Our results identify spectral components and fiber types with minimal unwanted background signals, guiding the selection of optimal fibers for NV-based quantum sensing.
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Taxonomy
TopicsDiamond and Carbon-based Materials Research · Laser Material Processing Techniques · Mineralogy and Gemology Studies
