Effects of data quality vetoes on a search for compact binary coalescences in Advanced LIGO’s first observing run
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Abbott_2018_Class._Quantum_Grav._35_065010.pdf
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3.43 MB
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Author(s)
Aggarwal, Nancy
Barsotti, Lisa
Biscans, Sebastien
Brown, N. M.
Buikema, Aaron
Donovan, Frederick J
Essick, Reed Clasey
Evans, M.
Fritschel, Peter K
Gras, Slawomir
Date Issued
February 2018
Journal
Classical and Quantum Gravity
Publisher
IOP Publishing
Citation
Abbott, B P et al. “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 (February 2018): 065010 © 2018 IOP Publishing Ltd
Version
Final published version
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. Keywords: LIGO, detector characterization; compact binary coalescences
MIT Department
Massachusetts Institute of Technology. Department of Physics
Lincoln Laboratory
MIT Kavli Institute for Astrophysics and Space Research
LIGO (Observatory : Massachusetts Institute of Technology)
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Creative Commons Attribution 3.0 unported license
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DOI of Published Version
https://doi.org/10.1088/1361-6382/aaaafa
