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Characterising transient noise in the LIGO detectors

Research output: Contribution to journalArticle

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Characterising transient noise in the LIGO detectors. / LIGO Scientific Collaboration ; Nuttall, L. K.

In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 376, No. 2120, 20170286, 05.2018.

Research output: Contribution to journalArticle

Harvard

LIGO Scientific Collaboration & Nuttall, LK 2018, 'Characterising transient noise in the LIGO detectors' Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 376, no. 2120, 20170286. https://doi.org/10.1098/rsta.2017.0286

APA

LIGO Scientific Collaboration, & Nuttall, L. K. (2018). Characterising transient noise in the LIGO detectors. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2120), [20170286]. https://doi.org/10.1098/rsta.2017.0286

Vancouver

LIGO Scientific Collaboration, Nuttall LK. Characterising transient noise in the LIGO detectors. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2018 May;376(2120). 20170286. https://doi.org/10.1098/rsta.2017.0286

Author

LIGO Scientific Collaboration ; Nuttall, L. K. / Characterising transient noise in the LIGO detectors. In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2018 ; Vol. 376, No. 2120.

Bibtex

@article{133abc8b1c144e16a8ec7282eab67e60,
title = "Characterising transient noise in the LIGO detectors",
abstract = "Data from the LIGO detectors typically contain many non-Gaussian noise transients which arise due to instrumental and environmental conditions. These non-Gaussian transients can be an issue for the modelled and unmodelled transient gravitational-wave searches, as they can mask or mimic a true signal. Data quality can change quite rapidly, making it imperative to track and find new sources of transient noise so that data are minimally contaminated. Several examples of transient noise and the tools used to track them are presented. These instances serve to highlight the diverse range of noise sources present at the LIGO detectors during their second observing run.",
keywords = "astro-ph.IM",
author = "{LIGO Scientific Collaboration} and Nuttall, {L. K.}",
note = "9 pages, 3 figures, presented at a discussion meeting {"}Promises of gravitational wave astronomy{"} held at the Royal Society London, 11 September 2017",
year = "2018",
month = "5",
doi = "10.1098/rsta.2017.0286",
language = "English",
volume = "376",
journal = "Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences",
issn = "1364-503X",
publisher = "Royal Society of London",
number = "2120",

}

RIS

TY - JOUR

T1 - Characterising transient noise in the LIGO detectors

AU - LIGO Scientific Collaboration

AU - Nuttall, L. K.

N1 - 9 pages, 3 figures, presented at a discussion meeting "Promises of gravitational wave astronomy" held at the Royal Society London, 11 September 2017

PY - 2018/5

Y1 - 2018/5

N2 - Data from the LIGO detectors typically contain many non-Gaussian noise transients which arise due to instrumental and environmental conditions. These non-Gaussian transients can be an issue for the modelled and unmodelled transient gravitational-wave searches, as they can mask or mimic a true signal. Data quality can change quite rapidly, making it imperative to track and find new sources of transient noise so that data are minimally contaminated. Several examples of transient noise and the tools used to track them are presented. These instances serve to highlight the diverse range of noise sources present at the LIGO detectors during their second observing run.

AB - Data from the LIGO detectors typically contain many non-Gaussian noise transients which arise due to instrumental and environmental conditions. These non-Gaussian transients can be an issue for the modelled and unmodelled transient gravitational-wave searches, as they can mask or mimic a true signal. Data quality can change quite rapidly, making it imperative to track and find new sources of transient noise so that data are minimally contaminated. Several examples of transient noise and the tools used to track them are presented. These instances serve to highlight the diverse range of noise sources present at the LIGO detectors during their second observing run.

KW - astro-ph.IM

U2 - 10.1098/rsta.2017.0286

DO - 10.1098/rsta.2017.0286

M3 - Article

VL - 376

JO - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

T2 - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

JF - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

SN - 1364-503X

IS - 2120

M1 - 20170286

ER -

ID: 12334425