Method to detect gravitational waves from an ensemble of known pulsars
Xilong Fan, Yanbei Chen, Christopher Messenger

TL;DR
This paper introduces an optimal weighted statistic for detecting gravitational waves from an ensemble of known pulsars, enhancing detection sensitivity by leveraging individual pulsar information.
Contribution
It proposes a novel weighted combination method of pulsar data for improved gravitational wave detection, applicable to known pulsar ensembles.
Findings
Weighted combination improves detection sensitivity over equal-weight methods.
Performance demonstrated with simulated sources assuming common ellipticity distribution.
Method outperforms individual source approaches in detection efficiency.
Abstract
Combining information from weak sources, such as known pulsars, for gravitational wave detection, is an attractive approach to improve detection efficiency. We propose an optimal statistic for a general ensemble of signals and apply it to an ensemble of known pulsars. Our method combines -statistic values from individual pulsars using weights proportional to each pulsar's expected optimal signal-to-noise ratio to improve the detection efficiency. We also point out that to detect at least one pulsar within an ensemble, different thresholds should be designed for each source based on the expected signal strength. The performance of our proposed detection statistic is demonstrated using simulated sources, with the assumption that all pulsars' ellipticities belong to a common (yet unknown) distribution. Comparing with an equal-weight strategy and with individual source…
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