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Abstract We present a new method, based on fractal analysis, to characterize the output of a physical detector that is in the form of a set of real-valued, discrete physical measurements. We apply the method to gravitational-wave data from the latest observing run of the Laser Interferometer Gravitational-wave Observatory. We show that a measure of the fractal dimension of the main detector output (strain channel) can be used to determine the instrument status, test data stationarity, and identify non-astrophysical excess noise in low latency. When applied to instrument control and environmental data (auxiliary channels) the fractal dimension can be used to identify the origins of noise transients, non-linear couplings in the various detector subsystems, and provide a means to flag stretches of low-quality data.more » « less
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Antelis, Javier M. ; Cavaglia, Marco ; Hansen, Travis ; Morales, Manuel D. ; Moreno, Claudia ; Mukherjee, Soma ; Szczepańczyk, Marek J. ; Zanolin, Michele ( , Physical Review D)
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Mogushi, Kentaro ; Quitzow-James, Ryan ; Cavaglia, Marco ; Kulkarni, Sumeet ; Hayes, Fergus ( , Machine Learning: Science and Technology)null (Ed.)
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Cavaglia, Marco ; Staats, Kai ; Gill, Teerth ( , Communications in Computational Physics)