Detection and Analysis of Anthropogenic Patterns in a Phase-Stabilized Optical Fiber Network

Le résumé fourni par la source

Phase-stabilized fiber networks for state-of-the-art optical frequency dissemination promise versatile application as environmental sensors, being sensitive to seismic waves, temperature variations or anthropogenic acoustic noise. Here we analyze the noise picked up in such a fiber network connecting METAS in Bern to the University of Basel over a length of 123 km. In the frequency range attributed to anthropogenic effects, we observe broadband noise level fluctuations following day-night cycles, as well as sporadic signals from localized sources. We apply unsupervised clustering to group these singular events and identify regularity in the schedule of similar events, that is indicative of railway activity. Our work provides a descriptive analysis of the observed signals and identifies possible exploits for application in terms of optimization of metrology networks as well as remote fiber sensing.

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