On-line power spectra identification and whitening for the noise in interferometric gravitational wave detectors

Cuoco, E.; Calamai, G.; Fabbroni, L.; Losurdo, G.; Mazzoni, M.; Stanga, R.; Vetrano, F.

doi:10.1088/0264-9381/18/9/309

Cited by 55 publications

(66 citation statements)

References 31 publications

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“…The first five minutes of data are used to estimate the parameters for the following whitening filter in the time-domain. The whitening procedure is based on a Linear Predictor Filter, whose parameters are estimated through a parametric Auto Regressive (AR) model fit to the noise PSD, as described in [30]. One of the AR parameters is the standard deviation σ of the background noise, which is used in the wavelet de-noising procedure.…”

Section: Data Conditioning and Trigger Detectionmentioning

confidence: 99%

Classification methods for noise transients in advanced gravitational-wave detectors

Powell

Trifirò

Cuoco

et al. 2015

Class. Quantum Grav.

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110

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Noise of non-astrophysical origin will contaminate science data taken by the Advanced Laser Interferometer Gravitational-wave Observatory (aLIGO) and Advanced Virgo gravitational-wave detectors. Prompt characterization of instrumental and environmental noise transients will be critical for improving the sensitivity of the advanced detectors in the upcoming science runs. During the science runs of the initial gravitational-wave detectors, noise transients were manually classified by visually examining the time-frequency scan of each event. Here, we present three new algorithms designed for the automatic classification of noise transients in advanced detectors. Two of these algorithms are based on Principal Component Analysis. They are Principal Component Analysis for Transients (PCAT), and an adaptation of LALInference Burst (LIB). The third algorithm is a combination of an event generator called Wavelet Detection Filter (WDF) and machine learning techniques for classification. We test these algorithms on simulated data sets, and we show their ability to automatically classify transients by frequency, SNR and waveform morphology.

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Section: Data Conditioning and Trigger Detectionmentioning

confidence: 99%

Classification methods for noise transients in advanced gravitational-wave detectors

Powell

Trifirò

Cuoco

et al. 2015

Class. Quantum Grav.

Self Cite

110

View full text Add to dashboard Cite

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“…Such specifications (from 1% to 10% of ideal noise RMS for line amplitudes) seem quite severe. Let's define the noise flatness [41] …”

Section: Effect Of Lines On the Filter False-alarm Ratesmentioning

confidence: 99%

Comparison of filters for detecting gravitational wave bursts in interferometric detectors

Arnaud

Barsuglia²,

Bizouard³

et al. 2003

Phys. Rev. D

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Filters developed in order to detect short bursts of gravitational waves in interferometric detector outputs are compared according to three main points. Conventional Receiver Operating Characteristics (ROC) are first built for all the considered filters and for three typical burst signals. Optimized ROC are shown for a simple pulse signal in order to estimate the best detection efficiency of the filters in the ideal case, while realistic ones obtained with filters working with several "templates" show how detection efficiencies can be degraded in a practical implementation. Secondly, estimations of biases and statistical errors on the reconstruction of the time of arrival of pulse-like signals are then given for each filter. Such results are crucial for future coincidence studies between Gravitational Wave detectors but also with neutrino or optical detectors. As most of the filters require a pre-whitening of the detector noise, the sensitivity to a non perfect noise whitening procedure is finally analysed. For this purpose lines of various frequencies and amplitudes are added to a Gaussian white noise and the outputs of the filters are studied in order to monitor the excess of false alarms induced by the lines. The comparison of the performances of the different filters finally show that they are complementary rather than competitive.PACS numbers 04.80.Nn, 07.05.Kf

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“…This pre-processing stage is performed both for the LSC and Virgo pipelines using a linear predictive error filter. These have been developed in each collaboration, see for instance [30] [31] A. Pipeline description…”

Section: Burst Search Methods and Their Performancementioning

confidence: 99%

A comparison of methods for gravitational wave burst searches from LIGO and Virgo

Beauville

Bizouard

Blackburn

et al. 2008

Class. Quantum Grav.

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The search procedure for burst gravitational waves has been studied using 24 hours of simulated data in a network of three interferometers (Hanford 4-km, Livingston 4-km and Virgo 3-km are the example interferometers). Several methods to detect burst events developed in the LIGO Scientific Collaboration (LSC) and Virgo collaboration have been studied and compared. We have performed coincidence analysis of the triggers obtained in the different interferometers with and without simulated signals added to the data. The benefits of having multiple interferometers of similar sensitivity are demonstrated by comparing the detection performance of the joint coincidence analysis with LSC and Virgo only burst searches. Adding Virgo to the LIGO detector network can increase by 50% the detection efficiency for this search. Another advantage of a joint LIGO-Virgo network is the ability to reconstruct the source sky position. The reconstruction accuracy depends on the timing measurement accuracy of the events in each interferometer, and is displayed in this paper with a fixed source position example.

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On-line power spectra identification and whitening for the noise in interferometric gravitational wave detectors

Cited by 55 publications

References 31 publications

Classification methods for noise transients in advanced gravitational-wave detectors

Classification methods for noise transients in advanced gravitational-wave detectors

Comparison of filters for detecting gravitational wave bursts in interferometric detectors

A comparison of methods for gravitational wave burst searches from LIGO and Virgo

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