Benjamin Aylott et al 2009 Class. Quantum Grav. 26 165008 doi:10.1088/0264-9381/26/16/165008
Benjamin Aylott1, John G Baker2, William D Boggs3, Michael Boyle4, Patrick R Brady5, Duncan A Brown6, Bernd Brügmann7, Luisa T Buchman4, Alessandra Buonanno3, Laura Cadonati8, Jordan Camp2, Manuela Campanelli9, Joan Centrella2, Shourov Chatterji10,11, Nelson Christensen12, Tony Chu4, Peter Diener13,14, Nils Dorband15, Zachariah B Etienne16, Joshua Faber9, Stephen Fairhurst17, Benjamin Farr9,17, Sebastian Fischetti8, Gianluca Guidi10,18, Lisa M Goggin5, Mark Hannam19, Frank Herrmann20,21, Ian Hinder20, Sascha Husa15,22, Vicky Kalogera23, Drew Keppel11, Lawrence E. Kidder24, Bernard J Kelly2, Badri Krishnan15, Pablo Laguna25, Carlos O Lousto9, Ilya Mandel23, Pedro Marronetti26, Richard Matzner27, Sean T McWilliams2, Keith D Matthews4, R Adam Mercer5, Satyanarayan R P Mohapatra8, Abdul H Mroué24, Hiroyuki Nakano9, Evan Ochsner3, Yi Pan3, Larne Pekowsky6, H arald P Pfeiffer4, Denis Pollney15, Frans Pretorius28, Vivien Raymond23, Christian Reisswig15, Luciano Rezzolla15, Oliver Rinne29,30, Craig Robinson12, Christian Röver31, Lucía Santamaría15, Bangalore Sathyaprakash17, Mark A Scheel4, Erik Schnetter13,14, Jennifer Seiler15, Stuart L Shapiro16, Deirdre Shoemaker25, Ulrich Sperhake7, Alexander Stroeer2,32, Riccardo Sturani10,18, Wolfgang Tichy26, Yuk Tung Liu16, Marc van der Sluys23, James R van Meter2, Ruslan Vaulin5, Alberto Vecchio1, John Veitch1, Andrea Viceré10,18, John T Whelan9,15 and Yosef Zlochower9
Show affiliationsThe Numerical INJection Analysis (NINJA) project is a collaborative effort between members of the numerical relativity and gravitational-wave data analysis communities. The purpose of NINJA is to study the sensitivity of existing gravitational-wave search algorithms using numerically generated waveforms and to foster closer collaboration between the numerical relativity and data analysis communities. We describe the results of the first NINJA analysis which focused on gravitational waveforms from binary black hole coalescence. Ten numerical relativity groups contributed numerical data which were used to generate a set of gravitational-wave signals. These signals were injected into a simulated data set, designed to mimic the response of the initial LIGO and Virgo gravitational-wave detectors. Nine groups analysed this data using search and parameter-estimation pipelines. Matched filter algorithms, un-modelled-burst searches and Bayesian parameter estimation and model-selection algorithms were applied to the data. We report the efficiency of these search methods in detecting the numerical waveforms and measuring their parameters. We describe preliminary comparisons between the different search methods and suggest improvements for future NINJA analyses.
Issue 16 (21 August 2009)
Received 29 January 2009, in final form 30 June 2009
Published 3 August 2009
Benjamin Aylott et al 2009 Class. Quantum Grav. 26 165008
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