A statistical veto method employing an amplitude consistency check

Hild, S.; Ajith, P.; Hewitson, M.; Grote, H.; Smith, J. R.

doi:10.1088/0264-9381/24/15/001

Cited by 5 publications

(7 citation statements)

References 24 publications

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“…Using this novel technique, we were able to develop a veto for glitches originating from dust particles falling through the main output beam (referred to as dust veto). More details about this method and its application to S5 data can be found in [13].…”

Section: /7-modementioning

confidence: 99%

GEO600: status and plans

Willke

2007

Class. Quantum Grav.

154

180

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The GEO600 gravitational wave detector located near Hannover in Germany is one of the four detectors of the LIGO Scientific Collaboration (LSC). For almost the entire year of 2006, GEO600 participated in the S5 science run of the LSC. Overall an equivalent of about 270 days of science data with an average peak sensitivity of better than 3 × 10 −22 Hz −1/2 have been acquired so far. In this paper, we describe the status of the GEO600 project during the period between January 2006 and February 2007. In addition, plans for the near-term and medium-term future are discussed.

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Section: /7-modementioning

confidence: 99%

GEO600: status and plans

Willke

2007

Class. Quantum Grav.

154

180

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“…It also differs from [38,39] and other consistency-check algorithms that the authors are aware of because we are not checking the consistency of GW triggers, but rather we are checking the consistency of data segments-many of which will together constitute a GW trigger. This is born of necessity from our focus on long transients.…”

Section: Introductionmentioning

confidence: 99%

Identification of noise artifacts in searches for long-duration gravitational-wave transients

Prestegard

Thrane

Christensen

et al. 2012

Class. Quantum Grav.

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We present an algorithm for the identification of transient noise artifacts (glitches) in cross-correlation searches for long gravitational-wave transients lasting seconds to weeks. The algorithm utilizes the auto-power in each detector as a discriminator between well-behaved stationary noise (possibly including a gravitational-wave signal) and non-stationary noise transients. We test the algorithm with both Monte Carlo noise and time-shifted data from the LIGO S5 science run and find that it removes a significant fraction of glitches while keeping the vast majority (99.6%) of the data.We show that this cleaned data can be used to observe GW signals at a significantly lower amplitude than can otherwise be achieved. Using an accretion disk instability signal model, we estimate that the algorithm is accidentally triggered at a rate of less than 10 −5 % by realistic signals, and less than 3% even for exceptionally loud signals. We conclude that the algorithm is a safe and effective method for cleaning the cross-correlation data used in searches for long gravitational-wave transients.PACS numbers: 95.55.Ym

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“…The ''coincidence windows'' are chosen such that the ''accidental'' (random) coincidence rate between the two channels is limited to an acceptable amount. See [23][24][25][26] for some recent work on such ''statistical vetoes.'' Another class of ''physical vetoes'' is based on our understanding of how a GW should (or should not) appear in certain channels [27][28][29].…”

Section: The Search For Transient Unmodeled Gravitational-wave Burstsmentioning

confidence: 99%

“…Burst triggers in the veto channel and the GW channel are generated using the mHACR [25,35] burst detection algorithm. mHACR belongs to the class of time-frequency detection algorithms those make a time-frequency map of the data and identify timefrequency pixels containing excess power which are statistically unlikely to be associated with the underlying noise distribution.…”

Section: A Injections Mimicking Instrumental Burstsmentioning

confidence: 99%

“…mHACR belongs to the class of time-frequency detection algorithms those make a time-frequency map of the data and identify timefrequency pixels containing excess power which are statistically unlikely to be associated with the underlying noise distribution. For a detailed description of the algorithm and its performance, see [25]. However, we remind the reader that the details of the burst detection algorithm are immaterial as far as this veto method is concerned.…”

Section: A Injections Mimicking Instrumental Burstsmentioning

confidence: 99%

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Physical instrumental vetoes for gravitational-wave burst triggers

et al. 2007

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We present a robust strategy to veto certain classes of instrumental glitches that appear at the output of interferometric gravitational-wave detectors. This veto method is ''physical'' in the sense that, in order to veto a burst trigger, we make use of our knowledge of the coupling of different detector subsystems to the main detector output. The main idea behind this method is that the noise in an instrumental channel X can be transferred to the detector output (channel H) using the transfer function from X to H, provided the noise coupling is linear and the transfer function is unique. If a nonstationarity in channel H is causally related to one in channel X, the two have to be consistent with the transfer function. We formulate two methods for testing the consistency between the burst triggers in channel X and channel H. One method makes use of the null stream constructed from channel H and the transferred channel X, and the second involves cross correlating the two. We demonstrate the efficiency of the veto by ''injecting'' instrumental glitches in the hardware of the GEO 600 detector. The veto safety is demonstrated by performing gravitational-wave-like hardware injections. We also show an example application of this method using 5 days of data from the fifth science run of GEO 600. The method is found to have very high veto efficiency with a very low accidental veto rate.

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A statistical veto method employing an amplitude consistency check

Cited by 5 publications

References 24 publications

GEO600: status and plans

GEO600: status and plans

Identification of noise artifacts in searches for long-duration gravitational-wave transients

Physical instrumental vetoes for gravitational-wave burst triggers

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