Journal article

PARAMETER ESTIMATION FOR BINARY NEUTRON-STAR COALESCENCES WITH REALISTIC NOISE DURING THE ADVANCED LIGO ERA

Christopher PL Berry, Ilya Mandel, Hannah Middleton, Leo P Singer, Alex L Urban, Alberto Vecchio, Salvatore Vitale, Kipp Cannon, Ben Farr, Will M Farr, Philip B Graff, Chad Hanna, Carl-Johan Haster, Satya Mohapatra, Chris Pankow, Larry R Price, Trevor Sidery, John Veitch

The Astrophysical Journal | IOP PUBLISHING LTD | Published : 2015

Abstract

Advanced ground-based gravitational-wave (GW) detectors begin operation imminently. Their intended goal is not only to make the first direct detection of GWs, but also to make inferences about the source systems. Binary neutron-star mergers are among the most promising sources. We investigate the performance of the parameter-estimation (PE) pipeline that will be used during the first observing run of the Advanced Laser Interferometer Gravitational-wave Observatory (aLIGO) in 2015: we concentrate on the ability to reconstruct the source location on the sky, but also consider the ability to measure masses and the distance. Accurate, rapid sky localization is necessary to alert electromagnetic ..

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University of Melbourne Researchers

Grants

Awarded by NASA grant


Awarded by STFC grant


Awarded by National Science Foundation


Awarded by NSF


Awarded by Science and Technology Facilities Council


Funding Acknowledgements

This work was supported by the Science and Technology Facilities Council. P.B.G. acknowledges NASA grant NNX12AN10G. S.V. acknowledges the support of the National Science Foundation and the LIGO Laboratory. J.V. was supported by STFC grant ST/K005014/1. LIGO was constructed by the California Institute of Technology and Massachusetts Institute of Technology with funding from the National Science Foundation and operates under cooperative agreement PHY-0757058.Results were produced using the computing facilities of the LIGO DataGrid including: the Nemo computing cluster at the Center for Gravitation and Cosmology at the University of Wisconsin-Milwauke under NSF Grants PHY-0923409 and PHY-0600953; the Atlas computing cluster at the Albert Einstein Institute, Hannover; the LIGO computing clusters at Caltech, and the facilities of the Advanced Research Computing @ Cardiff (ARCCA) Cluster at Cardiff University. We are especially grateful to Paul Hopkins of ARCCA for assistance.