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