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  Multi-baseline gravitational wave radiometry

Talukder, D., Mitra, S., & Bose, S. (2011). Multi-baseline gravitational wave radiometry. Physical Review D, 83: 063002. doi:10.1103/PhysRevD.83.063002.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-90E0-3 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-90E2-0
Genre: Journal Article

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 Creators:
Talukder, Dipongkar, Author
Mitra, Sanjit, Author
Bose, Sukanta1, Author              
Affiliations:
1Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24011              

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Free keywords: General Relativity and Quantum Cosmology, gr-qc,Astrophysics, Cosmology and Extragalactic Astrophysics, astro-ph.CO,High Energy Physics - Theory, hep-th
 Abstract: We present a statistic for the detection of stochastic gravitational-wave backgrounds (SGWBs) using radiometry with a network of multiple baselines. We also quantitatively compare the sensitivities of existing baselines, and their network, to SGWBs. We assess how the measurement accuracy of signal parameters, e.g., the sky position of a localized source, can improve when using a network of baselines as compared to any of the single participating baselines. The search statistic itself is derived from the likelihood ratio of the cross-correlation of the data across all possible baselines in a detector network, and is optimal in Gaussian noise. Specifically, it is the likelihood-ratio maximized over the strength of the SGWB, and is called the maximized likelihood ratio (MLR). One of the main advantages of using the MLR over past search strategies for inferring the presence or absence of a signal is that the former does not require the deconvolution of the cross-correlation statistic. Therefore, it does not suffer from errors inherent to the deconvolution procedure and is, especially, useful for detecting weak sources. In the limit of a single baseline, it reduces to the detection statistic studied by Ballmer [Class. Quant. Grav. 23, S179 (2006)] and Mitra et al. [Phys. Rev. D 77, 042002 (2008)]. Unlike past studies, here the MLR statistic enables us to compare quantitatively the performances of a variety of baselines searching for a SGWB signal in (simulated) data. Although we use simulated noise and SGWB signals for making these comparisons, our method can be straightforwardly applied on real data.

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 Dates: 2010-12-202011
 Publication Status: Published in print
 Pages: 17 pages and 19 figures
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 Table of Contents: -
 Rev. Method: -
 Identifiers: arXiv: 1012.4530
DOI: 10.1103/PhysRevD.83.063002
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Title: Physical Review D
  Other : Phys. Rev. D.
Source Genre: Journal
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Publ. Info: Lancaster, Pa. : Published for the American Physical Society by the American Institute of Physics
Pages: - Volume / Issue: 83 Sequence Number: 063002 Start / End Page: - Identifier: ISSN: 0556-2821
CoNE: /journals/resource/111088197762258