Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project
Abstract
The 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.
Cite
@article{arxiv.0901.4399,
title = {Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project},
author = {Benjamin Aylott and John G. Baker and William D. Boggs and Michael Boyle and Patrick R. Brady and Duncan A. Brown and Bernd Brügmann and Luisa T. Buchman and Alessandra Buonanno and Laura Cadonati and Jordan Camp and Manuela Campanelli and Joan Centrella and Shourov Chatterji and Nelson Christensen and Tony Chu and Peter Diener and Nils Dorband and Zachariah B. Etienne and Joshua Faber and Stephen Fairhurst and Benjamin Farr and Sebastian Fischetti and Gianluca Guidi and Lisa M. Goggin and Mark Hannam and Frank Herrmann and Ian Hinder and Sascha Husa and Vicky Kalogera and Drew Keppel and Lawrence E. Kidder and Bernard J. Kelly and Badri Krishnan and Pablo Laguna and Carlos O. Lousto and Ilya Mandel and Pedro Marronetti and Richard Matzner and Sean T. McWilliams and Keith D. Matthews and R. Adam Mercer and Satyanarayan R. P. Mohapatra and Abdul H. Mroué and Hiroyuki Nakano and Evan Ochsner and Yi Pan and Larne Pekowsky and Harald P. Pfeiffer and Denis Pollney and Frans Pretorius and Vivien Raymond and Christian Reisswig and Luciano Rezzolla and Oliver Rinne and Craig Robinson and Christian Röver and Lucía Santamaría and Bangalore Sathyaprakash and Mark A. Scheel and Erik Schnetter and Jennifer Seiler and Stuart L. Shapiro and Deirdre Shoemaker and Ulrich Sperhake and Alexander Stroeer and Riccardo Sturani and Wolfgang Tichy and Yuk Tung Liu and Marc van der Sluys and James R. van Meter and Ruslan Vaulin and Alberto Vecchio and John Veitch and Andrea Viceré and John T. Whelan and Yosef Zlochower},
journal= {arXiv preprint arXiv:0901.4399},
year = {2014}
}
Comments
56 pages, 25 figures; various clarifications; accepted to CQG