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Effects of data quality vetoes on a search for compact binary coalescences in Advanced LIGO's first observing runстатья
Статья опубликована в высокорейтинговом журнале
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 20 августа 2018 г.
- Авторы: Bilenko I.A., Gorodetsky M.L., Khalili F.Y., Prokhorov L.G., Mitrofanov V.P., Strigin S., Vyatchanin S.P., LIGO Scientific Collaboration
- Журнал: Classical and Quantum Gravity
- Том: 35
- Номер: 6
- Год издания: 2018
- Издательство: IOP Publishing
- Местоположение издательства: [Bristol, UK], England
- Первая страница: 065010
- Последняя страница: 065036
- DOI: 10.1088/1361-6382/aaaafa
- Аннотация: 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.
- Добавил в систему: Стрыгин Сергей Евгеньевич