Exploiting Large-Scale Correlations to Detect Continuous Gravitational Waves

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Holger J. Pletsch
  • Bruce Allen

Research Organisations

External Research Organisations

  • Max Planck Institute for Gravitational Physics (Albert Einstein Institute)
  • University of Wisconsin Milwaukee
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Details

Original languageEnglish
Article number181102
Number of pages4
JournalPhysical review letters
Volume103
Issue number18
Early online date27 Oct 2009
Publication statusPublished - 30 Oct 2009

Abstract

Fully coherent searches (over realistic ranges of parameter space and year-long observation times) for unknown sources of continuous gravitational waves are computationally prohibitive. Less expensive hierarchical searches divide the data into shorter segments which are analyzed coherently, then detection statistics from different segments are combined incoherently. The novel method presented here solves the long-standing problem of how best to do the incoherent combination. The optimal solution exploits large-scale parameter-space correlations in the coherent detection statistic. Application to simulated data shows dramatic sensitivity improvements compared with previously available (ad hoc) methods, increasing the spatial volume probed by more than 2 orders of magnitude at lower computational cost.

ASJC Scopus subject areas

Cite this

Exploiting Large-Scale Correlations to Detect Continuous Gravitational Waves. / Pletsch, Holger J.; Allen, Bruce.
In: Physical review letters, Vol. 103, No. 18, 181102, 30.10.2009.

Research output: Contribution to journalArticleResearchpeer review

Pletsch HJ, Allen B. Exploiting Large-Scale Correlations to Detect Continuous Gravitational Waves. Physical review letters. 2009 Oct 30;103(18):181102. Epub 2009 Oct 27. doi: 10.48550/arXiv.0906.0023, 10.1103/PhysRevLett.103.181102
Pletsch, Holger J. ; Allen, Bruce. / Exploiting Large-Scale Correlations to Detect Continuous Gravitational Waves. In: Physical review letters. 2009 ; Vol. 103, No. 18.
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