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  Optimal directed searches for continuous gravitational waves

Ming, J., Krishnan, B., Papa, M. A., Aulbert, C., & Fehrmann, H. (2016). Optimal directed searches for continuous gravitational waves. Physical Review D, 93: 064011. doi:10.1103/PhysRevD.93.064011.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-718D-0 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-718E-E
Genre: Journal Article

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1510.03417.pdf (Preprint), 11MB
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 Creators:
Ming, Jing1, Author              
Krishnan, Badri2, Author              
Papa, Maria Alessandra1, Author              
Aulbert, Carsten3, Author              
Fehrmann, Henning3, Author              
Affiliations:
1Astrophysical and Cosmological Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, escidoc:1933290              
2Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, escidoc:24013              
3Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, escidoc:24011              

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Free keywords: General Relativity and Quantum Cosmology, gr-qc, Astrophysics, High Energy Astrophysical Phenomena, astro-ph.HE
 Abstract: Wide parameter space searches for long lived continuous gravitational wave signals are computationally limited. It is therefore critically important that available computational resources are used rationally. In this paper we consider directed searches, i.e. targets for which the sky position is known accurately but the frequency and spindown parameters are completely unknown. Given a list of such potential astrophysical targets, we therefore need to prioritize. On which target(s) should we spend scarce computing resources? What parameter space region in frequency and spindown should we search? Finally, what is the optimal search set-up that we should use? In this paper we present a general framework that allows to solve all three of these problems. This framework is based on maximizing the probability of making a detection subject to a constraint on the maximum available computational cost. We illustrate the method for a simplified problem.

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 Dates: 2015-10-092016
 Publication Status: Published in print
 Pages: 50 pages
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: arXiv: 1510.03417
DOI: 10.1103/PhysRevD.93.064011
URI: http://arxiv.org/abs/1510.03417
 Degree: -

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Title: Physical Review D
  Other : Phys. Rev. D.
Source Genre: Journal
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Publ. Info: Lancaster, Pa. : American Physical Society
Pages: - Volume / Issue: 93 Sequence Number: 064011 Start / End Page: - Identifier: ISSN: 0556-2821
CoNE: http://pubman.mpdl.mpg.de/cone/journals/resource/111088197762258