Methods for reducing false alarms in searches for compact binary coalescences in LIGO data-Reference-Cited by-同舟云学术

Methods for reducing false alarms in searches for compact binary coalescences in LIGO data

Published:2010-07-08 Issue:16 Volume:27 Page:165023
ISSN:0264-9381
Container-title:Classical and Quantum Gravity
language:
Short-container-title:Class. Quantum Grav.

Author:

Slutsky J,Blackburn L,Brown D A,Cadonati L,Cain J,Cavaglià M,Chatterji S,Christensen N,Coughlin M,Desai S,González G,Isogai T,Katsavounidis E,Rankins B,Reed T,Riles K,Shawhan P,Smith J R,Zotov N,Zweizig J

Publisher

IOP Publishing

Subject

Physics and Astronomy (miscellaneous)

Reference16 articles.

1. LIGO: the Laser Interferometer Gravitational-Wave Observatory

2. Search for gravitational waves from low mass binary coalescences in the first year of LIGO’s S5 data

3. Search for gravitational waves from low mass compact binary coalescence in 186 days of LIGO’s fifth science run

4. The LSC glitch group: monitoring noise transients during the fifth LIGO science run

5. Multiresolution techniques for the detection of gravitational-wave bursts

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Characterizing the temporal evolution of the high-frequency gravitational wave emission for a core collapse supernova with laser interferometric data: A neural network approach;Physical Review D;2023-10-11

2. Characterization of gravitational-wave detector noise with fractals;Classical and Quantum Gravity;2022-06-14

3. Bilinear noise subtraction at the GEO 600 observatory;Physical Review D;2020-05-26

4. Gravitational-wave signal recognition of LIGO data by deep learning;Physical Review D;2020-05-01

5. Finding the Origin of Noise Transients in LIGO Data with Machine Learning;Communications in Computational Physics;2019