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Title
Effects of data quality vetoes on a search for compact binary coalescences in Advanced LIGO’s first observing run
Author(s)
B.P. Abbott et al.강궁원김정리김지웅장행진조희석
Publication Year
2018-02-14
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.
Keyword
LIGO; detector characterization; compact binary coalescences
Journal Title
Classical and Quantum Gravity
Citation Volume
35
ISSN
0264-9381
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14776
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