Investigating Deep Neural Networks for Gravitational Wave Detection in Advanced LIGO Data-Reference-Cited by-同舟云学术

Investigating Deep Neural Networks for Gravitational Wave Detection in Advanced LIGO Data

Published:2019 Issue: Volume: Page:
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Container-title:Proceedings of the 2nd International Conference on Computer Science and Software Engineering - CSSE 2019
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Author:

Schmitt Alexander¹,Fu Kaiyu¹,Fan Siyu¹,Luo Yuan¹

Affiliation:

1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

Publisher

ACM Press

Reference14 articles.

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2. K. Cannon, R. Cariou and A. Chapman, "TOWARD EARLY-WARNING DETECTION OF GRAVITATIONAL WAVES FROM COMPACT BINARY COALESCENCE," The Astrophysical Journal, vol. 748, no. 2, pp. 136--150, 2012.

3. B. P. Abbott, "Observation of Gravitational Waves from a Binary Black Hole Merger," Phys. Rev. Lett., vol. 116, no. 6, 061102, 2016.

4. N. J. Cornish, "BayesWave: Bayesian Inference for Gravitational Wave Bursts and Instrument Glitches," Class. Quantum Grav., vol. 32, no. 13, 2015.

5. T. B. Littenberg, B. Farr, S. Coughlin and V. Kalogera, "Systematic errors in low-latency gravitational wave parameter estimation impact electromagnetic follow-up observations," arXiv:1601.02661, p. 7, 2016.

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