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The Numerical INJection Analysis (NINJA) project is a collaborative effortbetween members of the numerical relativity and gravitational-wave dataanalysis communities. The purpose of NINJA is to study the sensitivity ofexisting gravitational-wave search algorithms using numerically generatedwaveforms and to foster closer collaboration between the numerical relativityand data analysis communities. We describe the results of the first NINJAanalysis which focused on gravitational waveforms from binary black holecoalescence. Ten numerical relativity groups contributed numerical data whichwere used to generate a set of gravitational-wave signals. These signals wereinjected into a simulated data set, designed to mimic the response of theInitial LIGO and Virgo gravitational-wave detectors. Nine groups analysed thisdata using search and parameter-estimation pipelines. Matched filteralgorithms, un-modelled-burst searches and Bayesian parameter-estimation andmodel-selection algorithms were applied to the data. We report the efficiencyof these search methods in detecting the numerical waveforms and measuringtheir parameters. We describe preliminary comparisons between the differentsearch methods and suggest improvements for future NINJA analyses.

Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project