Data analysis methods for non-Gaussian, nonstationary and nonlinear features and their application to VIRGO

Details Data analysis methods for non-Gaussian, nonstationary and nonlinear features and their application to VIRGO Data analysis methods for non-Gaussian, nonstationary and nonlinear features and their application to VIRGO

Sep 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003cqgra..20s.915v&link_type=abstract

Classical and Quantum Gravity, Volume 20, Issue 17, pp. S915-S924 (2003).

Physics

1

Scientific paper

The commissioning of the VIRGO central interferometer occasioned the implementation and tests of various algorithms for the characterization of the non-Gaussianity, non-stationarity and non-linearity of the dark fringe data. This library of prototypes will serve as groundwork for the near commissioning of VIRGO (full scale). We make a summary of the activities on that subject including the description of the selected algorithms and some results obtained with the data of the engineering runs.

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