Adaptive clustering procedure for continuous gravitational wave searches
arXiv:1707.02676 · doi:10.1103/PhysRevD.96.082003
Abstract
In hierarchical searches for continuous gravitational waves, clustering of candidates is an important postprocessing step because it reduces the number of noise candidates that are followed-up at successive stages [1][7][12]. Previous clustering procedures bundled together nearby candidates ascribing them to the same root cause (be it a signal or a disturbance), based on a predefined cluster volume. In this paper, we present a procedure that adapts the cluster volume to the data itself and checks for consistency of such volume with what is expected from a signal. This significantly improves the noise rejection capabilities at fixed detection threshold, and at fixed computing resources for the follow-up stages, this results in an overall more sensitive search. This new procedure was employed in the first Einstein@Home search on data from the first science run of the advanced LIGO detectors (O1) [11].
11 pages, 9 figures, 2 tables; v1: initial submission; v2: journal review, copyedited version; v3: fixed typo in Fig1
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Cited by in corpus (4)
- Recent searches for continuous gravitational waves
- First low-frequency Einstein@Home all-sky search for continuous gravitational waves in Advanced LIGO data
- First narrow-band search for continuous gravitational waves from known pulsars in advanced detector data
- A new veto for continuous gravitational wave searches