An adaptive clustering procedure for continuous gravitational wave searches

@article{Singh2017AnAC,
  title={An adaptive clustering procedure for continuous gravitational wave searches},
  author={Avneet Singh and Maria Alessandra Papa and Heinz-Bernd Eggenstein and Sin'ead Walsh},
  journal={Physical Review D},
  year={2017},
  volume={96},
  pages={082003}
}
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… 
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