Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data-Reference-Cited by-同舟云学术

Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data

Published:2013-09-23 Issue:6 Volume:88 Page:
ISSN:1550-7998
Container-title:Physical Review D
language:en
Short-container-title:Phys. Rev. D

Author:

Biswas Rahul,Blackburn Lindy,Cao Junwei,Essick Reed,Hodge Kari Alison,Katsavounidis Erotokritos,Kim Kyungmin,Kim Young-Min,Le Bigot Eric-Olivier,Lee Chang-Hwan,Oh John J.,Oh Sang Hoon,Son Edwin J.,Tao Ye,Vaulin Ruslan,Wang Xiaoge

Publisher

American Physical Society (APS)

Subject

Nuclear and High Energy Physics

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevD.88.062003/fulltext

Reference37 articles.

1. LIGO: the Laser Interferometer Gravitational-Wave Observatory

2. Advanced LIGO: the next generation of gravitational wave detectors

3. Predictions for the rates of compact binary coalescences observable by ground-based gravitational-wave detectors

4. The characterization of Virgo data and its impact on gravitational-wave searches

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