Skip to Main content Skip to Navigation

Impulsive signals search with the gravitational wave detector Virgo

Abstract : The gravitational wave interferometric-detector Virgo should soon reach its target sensitivity.
The main astrophysical sources expected are the inspiral of compact binary systems and gravitational supernovae. Signal amplitudes are only slightly above the instrument sensitivity. Event rates are very low and waveforms are ill-known, notably for gravitational collapses.
The objective of data analysis is therefore the detection of low amplitude signals in colored noise. This work proposes the use of time-frequency methods for the detection of short duration signals. Performances are estimated on simulated data and compared to other detection filters used in the community.
Another difficulty for data analysis is the presence in the noise spectral density of narrow-band structures. These originate in the mechanical resonances of the mirrors and seismic isolation system of the instrument.
Kalman filters are introduced to suppress these well-modelled noises in the data.
The critical issue being the adequacy of the model, the problem of parameter estimation is tackled with the aim of a dynamical update. Finally these tools are applied to the available Virgo data.
The main conclusion from this practical study is the identification of several instrumental noise sources,
that will not disappear until the isolation of the instrument and its behaviour are improved.
Complete list of metadata
Contributor : André-Claude Clapson Connect in order to contact the contributor
Submitted on : Monday, July 17, 2006 - 10:49:53 AM
Last modification on : Wednesday, September 16, 2020 - 4:25:15 PM
Long-term archiving on: : Tuesday, April 6, 2010 - 12:11:36 AM


  • HAL Id : tel-00085885, version 1




André-Claude Clapson. Impulsive signals search with the gravitational wave detector Virgo. Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]. Université Paris Sud - Paris XI, 2006. English. ⟨tel-00085885⟩



Record views


Files downloads