Method to detect gravitational waves from an ensemble of known pulsars
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 ℱ-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 pulsar ellipticities belong to a common (yet unknown) distribution. Comparing with an equal-weight strategy and with individual source approaches, we show that the weighted combination of all known pulsars, where weights are assigned based on the pulsars' known information, such as sky location, frequency and distance, as well as the detector sensitivity, always provides a more sensitive detection statistic.
Additional Information
© 2016 American Physical Society. (Received 22 July 2016; published 20 October 2016) We acknowledge valuable input from our anonymous referee, M. Pitkin and G. Woan, whose input has greatly improved the manuscript. X. F. acknowledges financial support from the National Natural Science Foundation of China (Grants No. 11303009 and No. 11673008). X. F. is a Newton Fellow supported by the Royal Society. Y. C. is supported by NSF Grant No. PHY-1404569 and C. M. is supported by a Glasgow University Lord Kelvin Adam Smith Fellowship and the Science and Technology Research Council (STFC) Grant No. ST/ L000946/1.
Attached Files
Published - PhysRevD.94.084029.pdf
Files
Name | Size | Download all |
---|---|---|
md5:085d7591fa1bf78fe1e625bbbe72e7fc
|
531.1 kB | Preview Download |
Additional details
- Eprint ID
- 71332
- DOI
- 10.1103/PhysRevD.94.084029
- Resolver ID
- CaltechAUTHORS:20161020-182149405
- arXiv
- arXiv:1607.06735
- 11303009
- National Natural Science Foundation of China
- 11673008
- National Natural Science Foundation of China
- Royal Society
- PHY-1404569
- NSF
- Glasgow University
- ST/ L000946/1
- Science and Technology Facilities Council (STFC)
- Created
-
2016-10-21Created from EPrint's datestamp field
- Updated
-
2021-11-11Created from EPrint's last_modified field
- Caltech groups
- LIGO