Cite
Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data.
MLA
Biswas, Rahul, et al. “Application of Machine Learning Algorithms to the Study of Noise Artifacts in Gravitational-Wave Data.” Physical Review D: Particles, Fields, Gravitation & Cosmology, vol. 88, no. 6, Sept. 2013, p. 1. EBSCOhost, https://doi.org/10.1103/PhysRevD.88.062003.
APA
Biswas, R., Blackburn, L., Junwei Cao, Essick, R., Hodge, K. A., Katsavounidis, E., Kyungmin Kim, Young-Min Kim, Le Bigot, E.-O., Chang-Hwan Lee, Oh, J. J., Sang Hoon Oh, Son, E. J., Ye Tao, Vaulin, R., & Xiaoge Wang. (2013). Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data. Physical Review D: Particles, Fields, Gravitation & Cosmology, 88(6), 1. https://doi.org/10.1103/PhysRevD.88.062003
Chicago
Biswas, Rahul, Lindy Blackburn, Junwei Cao, Reed Essick, Kari Alison Hodge, Erotokritos Katsavounidis, Kyungmin Kim, et al. 2013. “Application of Machine Learning Algorithms to the Study of Noise Artifacts in Gravitational-Wave Data.” Physical Review D: Particles, Fields, Gravitation & Cosmology 88 (6): 1. doi:10.1103/PhysRevD.88.062003.