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Effects of data quality vetoes on a search for compact binary coalescences in advanced LIGO's first observing run

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Effects of data quality vetoes on a search for compact binary coalescences in advanced LIGO's first observing run. / LIGO Scientific Collaboration; Virgo Collaboration ; Harry, I. W.; Keitel, D.; Lundgren, A. P.; Nuttall, L. K.

In: Classical and Quantum Gravity, Vol. 35, No. 6, 065010, 14.02.2018.

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@article{29a3ff2e33fe4f4aa9bd355e6afdf235,
title = "Effects of data quality vetoes on a search for compact binary coalescences in advanced LIGO's first observing run",
abstract = "The first observing run of Advanced LIGO spanned 4 months, from September 12, 2015 to January 19, 2016, during which gravitational waves were directly detected from two binary black hole systems, namely GW150914 and GW151226. Confident detection of gravitational waves requires an understanding of instrumental transients and artifacts that can reduce the sensitivity of a search. Studies of the quality of the detector data yield insights into the cause of instrumental artifacts and data quality vetoes specific to a search are produced to mitigate the effects of problematic data. In this paper, the systematic removal of noisy data from analysis time is shown to improve the sensitivity of searches for compact binary coalescences. The output of the PyCBC pipeline, which is a python-based code package used to search for gravitational wave signals from compact binary coalescences, is used as a metric for improvement. GW150914 was a loud enough signal that removing noisy data did not improve its significance. However, the removal of data with excess noise decreased the false alarm rate of GW151226 by more than two orders of magnitude, from 1 in 770 years to less than 1 in 186000 years.",
keywords = "gr-qc, astro-ph.IM, RCUK, STFC",
author = "{LIGO Scientific Collaboration} and {Virgo Collaboration} and Abbott, {B. P.} and R. Abbott and Abbott, {T. D.} and Abernathy, {M. R.} and F. Acernese and K. Ackley and P. Addesso and Adhikari, {R. X.} and Adya, {V. B.} and C. Affeldt and M. Agathos and K. Agatsuma and N. Aggarwal and Aguiar, {O. D.} and L. Aiello and A. Ain and B. Allen and A. Allocca and Altin, {P. A.} and Anderson, {W. G.} and K. Arai and Araya, {M. C.} and Arceneaux, {C. C.} and Areeda, {J. S.} and N. Arnaud and Arun, {K. G.} and S. Ascenzi and G. Ashton and M. Ast and Aston, {S. M.} and P. Astone and P. Aufmuth and C. Aulbert and S. Babak and P. Bacon and Bader, {M. K. M.} and Baker, {P. T.} and F. Baldaccini and G. Ballardin and Ballmer, {S. W.} and Barayoga, {J. C.} and Barclay, {S. E.} and Barish, {B. C.} and D. Barker and Harry, {I. W.} and D. Keitel and Lundgren, {A. P.} and Nuttall, {L. K.}",
note = "31 pages, 17 figures; corrected author list",
year = "2018",
month = "2",
day = "14",
doi = "10.1088/1361-6382/aaaafa",
language = "English",
volume = "35",
journal = "Classical and Quantum Gravity",
issn = "0264-9381",
publisher = "IOP Publishing Ltd.",
number = "6",

}

RIS

TY - JOUR

T1 - Effects of data quality vetoes on a search for compact binary coalescences in advanced LIGO's first observing run

AU - LIGO Scientific Collaboration

AU - Virgo Collaboration

AU - Abbott, B. P.

AU - Abbott, R.

AU - Abbott, T. D.

AU - Abernathy, M. R.

AU - Acernese, F.

AU - Ackley, K.

AU - Addesso, P.

AU - Adhikari, R. X.

AU - Adya, V. B.

AU - Affeldt, C.

AU - Agathos, M.

AU - Agatsuma, K.

AU - Aggarwal, N.

AU - Aguiar, O. D.

AU - Aiello, L.

AU - Ain, A.

AU - Allen, B.

AU - Allocca, A.

AU - Altin, P. A.

AU - Anderson, W. G.

AU - Arai, K.

AU - Araya, M. C.

AU - Arceneaux, C. C.

AU - Areeda, J. S.

AU - Arnaud, N.

AU - Arun, K. G.

AU - Ascenzi, S.

AU - Ashton, G.

AU - Ast, M.

AU - Aston, S. M.

AU - Astone, P.

AU - Aufmuth, P.

AU - Aulbert, C.

AU - Babak, S.

AU - Bacon, P.

AU - Bader, M. K. M.

AU - Baker, P. T.

AU - Baldaccini, F.

AU - Ballardin, G.

AU - Ballmer, S. W.

AU - Barayoga, J. C.

AU - Barclay, S. E.

AU - Barish, B. C.

AU - Barker, D.

AU - Harry, I. W.

AU - Keitel, D.

AU - Lundgren, A. P.

AU - Nuttall, L. K.

N1 - 31 pages, 17 figures; corrected author list

PY - 2018/2/14

Y1 - 2018/2/14

N2 - The first observing run of Advanced LIGO spanned 4 months, from September 12, 2015 to January 19, 2016, during which gravitational waves were directly detected from two binary black hole systems, namely GW150914 and GW151226. Confident detection of gravitational waves requires an understanding of instrumental transients and artifacts that can reduce the sensitivity of a search. Studies of the quality of the detector data yield insights into the cause of instrumental artifacts and data quality vetoes specific to a search are produced to mitigate the effects of problematic data. In this paper, the systematic removal of noisy data from analysis time is shown to improve the sensitivity of searches for compact binary coalescences. The output of the PyCBC pipeline, which is a python-based code package used to search for gravitational wave signals from compact binary coalescences, is used as a metric for improvement. GW150914 was a loud enough signal that removing noisy data did not improve its significance. However, the removal of data with excess noise decreased the false alarm rate of GW151226 by more than two orders of magnitude, from 1 in 770 years to less than 1 in 186000 years.

AB - The first observing run of Advanced LIGO spanned 4 months, from September 12, 2015 to January 19, 2016, during which gravitational waves were directly detected from two binary black hole systems, namely GW150914 and GW151226. Confident detection of gravitational waves requires an understanding of instrumental transients and artifacts that can reduce the sensitivity of a search. Studies of the quality of the detector data yield insights into the cause of instrumental artifacts and data quality vetoes specific to a search are produced to mitigate the effects of problematic data. In this paper, the systematic removal of noisy data from analysis time is shown to improve the sensitivity of searches for compact binary coalescences. The output of the PyCBC pipeline, which is a python-based code package used to search for gravitational wave signals from compact binary coalescences, is used as a metric for improvement. GW150914 was a loud enough signal that removing noisy data did not improve its significance. However, the removal of data with excess noise decreased the false alarm rate of GW151226 by more than two orders of magnitude, from 1 in 770 years to less than 1 in 186000 years.

KW - gr-qc

KW - astro-ph.IM

KW - RCUK

KW - STFC

U2 - 10.1088/1361-6382/aaaafa

DO - 10.1088/1361-6382/aaaafa

M3 - Article

VL - 35

JO - Classical and Quantum Gravity

T2 - Classical and Quantum Gravity

JF - Classical and Quantum Gravity

SN - 0264-9381

IS - 6

M1 - 065010

ER -

ID: 12334744