Deep learning for clustering of continuous gravitational wave candidates [CL]

http://arxiv.org/abs/2001.03116


In searching for continuous gravitational waves over very many ($\approx 10^{17}$) templates , clustering is a powerful tool which increases the search sensitivity by identifying and bundling together candidates that are due to the same root cause. We implement a deep learning network that identifies clusters of signal candidates in the output of continuous gravitational wave searches and assess its performance.

Read this paper on arXiv…

B. Beheshtipour and M. Papa
Fri, 10 Jan 20
8/65

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