Transient classification in LIGO data using difference boosting neural network-Reference-Cited by-同舟云学术

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Transient classification in LIGO data using difference boosting neural network

Published:2017-05-31 Issue:10 Volume:95 Page:
ISSN:2470-0010
Container-title:Physical Review D
language:en
Short-container-title:Phys. Rev. D

Author:

Mukund N.,Abraham S.,Kandhasamy S.,Mitra S.,Philip N. S.

Funder

Council of Scientific and Industrial Research

Science and Engineering Research Board

California Institute of Technology

National Science Foundation

LIGO

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevD.95.104059/fulltext

Reference39 articles.

1. Observation of Gravitational Waves from a Binary Black Hole Merger

2. GW151226: Observation of Gravitational Waves from a 22-Solar-Mass Binary Black Hole Coalescence

3. Characterization of transient noise in Advanced LIGO relevant to gravitational wave signal GW150914

4. Hubble classification of galaxies using neural networks

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

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