ausblenden:
Schlagwörter:
General Relativity and Quantum Cosmology, gr-qc, Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM, Physics, Data Analysis, Statistics and Probability, physics.data-an
Zusammenfassung:
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.
