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

Effects of data quality vetoes on a search for compact binary coalescences in Advanced LIGO's first observing run
Effects of data quality vetoes on a search for compact binary coalescences in Advanced LIGO's first observing run
The first observing run of Advanced LIGO spanned 4 months, from 12 September 2015 to 19 January 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 yr to less than 1 in 186 000 yr.
0264-9381
1-26
Abbott, B.P.
20b32f53-5355-40eb-9d69-91c95d56e693
Jones, D.I.
b8f3e32c-d537-445a-a1e4-7436f472e160
LIGO Scientific Collaboration and Virgo Collaboration
Abbott, B.P.
20b32f53-5355-40eb-9d69-91c95d56e693
Jones, D.I.
b8f3e32c-d537-445a-a1e4-7436f472e160

Abbott, B.P. and Jones, D.I. , LIGO Scientific Collaboration and Virgo Collaboration (2018) Effects of data quality vetoes on a search for compact binary coalescences in Advanced LIGO's first observing run. Classical and Quantum Gravity, 35 (6), 1-26. (doi:10.1088/1361-6382/aaaafa).

Record type: Article

Abstract

The first observing run of Advanced LIGO spanned 4 months, from 12 September 2015 to 19 January 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 yr to less than 1 in 186 000 yr.

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Accepted/In Press date: 29 January 2018
e-pub ahead of print date: 14 February 2018

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Local EPrints ID: 418665
URI: https://eprints.soton.ac.uk/id/eprint/418665
ISSN: 0264-9381
PURE UUID: 7fe2a2b2-809d-4bae-8b25-e039dde46334

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Date deposited: 16 Mar 2018 17:30
Last modified: 13 Mar 2019 18:45

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Author: B.P. Abbott
Author: D.I. Jones

University divisions

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