English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

A methodology of adaptive time series analysis, based on Empirical ModeDecomposition (EMD), and on its time varying version tvf-EMD has been appliedto strain data from the gravitational wave interferometer (IFO) Virgo in orderto characterise scattered light noise affecting the sensitivity of the IFO inthe detection frequency band. Data taken both during hardware injections, whena 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 areused for the detection of gravitational waves, were analysed. The adaptivenature of the EMD and tvf-EMD algorithms allows them to deal with nonlinearnon-stationary data and hence they are particularly suited to characterisescattered light noise which is an intrinsically nonlinear and non-stationarynoise. Obtained results show that tvf-EMD algorithm allows to obtain moreprecise results compared to the EMD algorithm, yielding highercross-correlation values with the auxiliary channels that are the culprits ofscattered light noise.

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