Scattered light noise characterisation at the Virgo interferometer with tvf-EMD adaptive algorithm

Abstract

A methodology of adaptive time series analysis, based on empirical mode decomposition (EMD) and on its time varying version tvf-EMD, has been applied to strain data from the gravitational wave interferometer (IFO) Virgo in order to characterise scattered light noise affecting the sensitivity of the IFO in the detection frequency band. Data taken both during hardware injections, when a part of the IFO is put in oscillation for detector characterisation purposes, and during periods of science mode, when the IFO is fully locked and data are used for the detection of gravitational waves, were analysed. The adaptive nature of the EMD and tvf-EMD algorithms allows them to deal with nonlinear non-stationary data and hence they are particularly suited to characterise scattered light noise, which is intrinsically nonlinear and non-stationary. Results show that tvf-EMD algorithm allows to obtain a more precise outcome compared to the EMD algorithm, yielding higher correlation values with the auxiliary channels identified as the culprits of scattered light noise.