Enhancing gravitational-wave science with machine learning

Cuoco, E.; Powell, J.; Cavaglià, M.; Ackley, K.; Bejger, M.; Chatterjee, C.; Coughlin, M.; Coughlin, S.; Easter, P.; Essick, R.; Gabbard, H.; Gebhard, T.; Ghosh, S.; Haegel, L.; Iess, A.; Keitel, D.; Márka, Z.; Márka, S.; Morawski, F.; Nguyen, T.; Ormiston, R.; Pürrer, M.; Razzano, M.; Staats, K.; Vajente, G.; Williams, D.

doi:10.1088/2632-2153/abb93a

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Journal Article

Enhancing gravitational-wave science with machine learning

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Gebhard, T.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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https://arxiv.org/abs/2005.03745
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https://doi.org/10.1088/2632-2153/abb93a
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Cuoco, E., Powell, J., Cavaglià, M., Ackley, K., Bejger, M., Chatterjee, C., et al. (2020). Enhancing gravitational-wave science with machine learning. Machine Learning: Science and Technology, 2(1): 011002. doi:10.1088/2632-2153/abb93a.

Cite as: https://hdl.handle.net/21.11116/0000-000B-263A-A

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