Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project
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 wavef...
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creator | Aylott, Benjamin Baker, John G Boggs, William D Boyle, Michael Brady, Patrick R Brown, Duncan A Brügmann, Bernd Buchman, Luisa T Buonanno, Alessandra Cadonati, Laura Camp, Jordan Campanelli, Manuela Centrella, Joan Chatterji, Shourov Christensen, Nelson Chu, Tony Diener, Peter Dorband, Nils Etienne, Zachariah B Faber, Joshua Fairhurst, Stephen Farr, Benjamin Fischetti, Sebastian Guidi, Gianluca Goggin, Lisa M Hannam, Mark Herrmann, Frank Hinder, Ian Husa, Sascha Kalogera, Vicky Keppel, Drew Kidder, Lawrence E Kelly, Bernard J Krishnan, Badri Laguna, Pablo Lousto, Carlos O Mandel, Ilya Marronetti, Pedro Matzner, Richard McWilliams, Sean T Matthews, Keith D Mercer, R Adam Mohapatra, Satyanarayan R P Mroué, Abdul H Nakano, Hiroyuki Ochsner, Evan Pan, Yi Pekowsky, Larne Pfeiffer, Harald P Pollney, Denis Pretorius, Frans Raymond, Vivien Reisswig, Christian Rezzolla, Luciano Rinne, Oliver Robinson, Craig Röver, Christian Santamaría, Lucía Sathyaprakash, Bangalore Scheel, Mark A Schnetter, Erik Seiler, Jennifer Shapiro, Stuart L Shoemaker, Deirdre Sperhake, Ulrich Stroeer, Alexander Sturani, Riccardo Tichy, Wolfgang Yuk Tung Liu van der Sluys, Marc van Meter, James R Vaulin, Ruslan Vecchio, Alberto Veitch, John Viceré, Andrea Whelan, John T Zlochower, Yosef |
description | 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. |
doi_str_mv | 10.48550/arxiv.0901.4399 |
format | Article |
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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.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.0901.4399</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Algorithms ; Bayesian analysis ; Coalescing ; Collaboration ; Communities ; Computer simulation ; Data analysis ; Gravitation ; Gravitational waves ; Matched filters ; Mathematical models ; Numerical methods ; Numerical relativity ; Parameter estimation ; Physics - General Relativity and Quantum Cosmology ; Relativity ; Search algorithms ; Search methods ; Sensitivity analysis ; Waveforms</subject><ispartof>arXiv.org, 2009-07</ispartof><rights>2009. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,780,881,27902</link.rule.ids><backlink>$$Uhttps://doi.org/10.1088/0264-9381/26/16/165008$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.48550/arXiv.0901.4399$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Aylott, Benjamin</creatorcontrib><creatorcontrib>Baker, John G</creatorcontrib><creatorcontrib>Boggs, William D</creatorcontrib><creatorcontrib>Boyle, Michael</creatorcontrib><creatorcontrib>Brady, Patrick R</creatorcontrib><creatorcontrib>Brown, Duncan A</creatorcontrib><creatorcontrib>Brügmann, Bernd</creatorcontrib><creatorcontrib>Buchman, Luisa T</creatorcontrib><creatorcontrib>Buonanno, Alessandra</creatorcontrib><creatorcontrib>Cadonati, Laura</creatorcontrib><creatorcontrib>Camp, Jordan</creatorcontrib><creatorcontrib>Campanelli, Manuela</creatorcontrib><creatorcontrib>Centrella, Joan</creatorcontrib><creatorcontrib>Chatterji, Shourov</creatorcontrib><creatorcontrib>Christensen, Nelson</creatorcontrib><creatorcontrib>Chu, Tony</creatorcontrib><creatorcontrib>Diener, Peter</creatorcontrib><creatorcontrib>Dorband, Nils</creatorcontrib><creatorcontrib>Etienne, Zachariah B</creatorcontrib><creatorcontrib>Faber, Joshua</creatorcontrib><creatorcontrib>Fairhurst, Stephen</creatorcontrib><creatorcontrib>Farr, Benjamin</creatorcontrib><creatorcontrib>Fischetti, Sebastian</creatorcontrib><creatorcontrib>Guidi, Gianluca</creatorcontrib><creatorcontrib>Goggin, Lisa M</creatorcontrib><creatorcontrib>Hannam, Mark</creatorcontrib><creatorcontrib>Herrmann, Frank</creatorcontrib><creatorcontrib>Hinder, Ian</creatorcontrib><creatorcontrib>Husa, Sascha</creatorcontrib><creatorcontrib>Kalogera, Vicky</creatorcontrib><creatorcontrib>Keppel, Drew</creatorcontrib><creatorcontrib>Kidder, Lawrence E</creatorcontrib><creatorcontrib>Kelly, Bernard J</creatorcontrib><creatorcontrib>Krishnan, Badri</creatorcontrib><creatorcontrib>Laguna, Pablo</creatorcontrib><creatorcontrib>Lousto, Carlos O</creatorcontrib><creatorcontrib>Mandel, Ilya</creatorcontrib><creatorcontrib>Marronetti, Pedro</creatorcontrib><creatorcontrib>Matzner, Richard</creatorcontrib><creatorcontrib>McWilliams, Sean T</creatorcontrib><creatorcontrib>Matthews, Keith D</creatorcontrib><creatorcontrib>Mercer, R Adam</creatorcontrib><creatorcontrib>Mohapatra, Satyanarayan R P</creatorcontrib><creatorcontrib>Mroué, Abdul H</creatorcontrib><creatorcontrib>Nakano, Hiroyuki</creatorcontrib><creatorcontrib>Ochsner, Evan</creatorcontrib><creatorcontrib>Pan, Yi</creatorcontrib><creatorcontrib>Pekowsky, Larne</creatorcontrib><creatorcontrib>Pfeiffer, Harald P</creatorcontrib><creatorcontrib>Pollney, Denis</creatorcontrib><creatorcontrib>Pretorius, Frans</creatorcontrib><creatorcontrib>Raymond, Vivien</creatorcontrib><creatorcontrib>Reisswig, Christian</creatorcontrib><creatorcontrib>Rezzolla, Luciano</creatorcontrib><creatorcontrib>Rinne, Oliver</creatorcontrib><creatorcontrib>Robinson, Craig</creatorcontrib><creatorcontrib>Röver, Christian</creatorcontrib><creatorcontrib>Santamaría, Lucía</creatorcontrib><creatorcontrib>Sathyaprakash, Bangalore</creatorcontrib><creatorcontrib>Scheel, Mark A</creatorcontrib><creatorcontrib>Schnetter, Erik</creatorcontrib><creatorcontrib>Seiler, Jennifer</creatorcontrib><creatorcontrib>Shapiro, Stuart L</creatorcontrib><creatorcontrib>Shoemaker, Deirdre</creatorcontrib><creatorcontrib>Sperhake, Ulrich</creatorcontrib><creatorcontrib>Stroeer, Alexander</creatorcontrib><creatorcontrib>Sturani, Riccardo</creatorcontrib><creatorcontrib>Tichy, Wolfgang</creatorcontrib><creatorcontrib>Yuk Tung Liu</creatorcontrib><creatorcontrib>van der Sluys, Marc</creatorcontrib><creatorcontrib>van Meter, James R</creatorcontrib><creatorcontrib>Vaulin, Ruslan</creatorcontrib><creatorcontrib>Vecchio, Alberto</creatorcontrib><creatorcontrib>Veitch, John</creatorcontrib><creatorcontrib>Viceré, Andrea</creatorcontrib><creatorcontrib>Whelan, John T</creatorcontrib><creatorcontrib>Zlochower, Yosef</creatorcontrib><title>Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project</title><title>arXiv.org</title><description>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.</description><subject>Algorithms</subject><subject>Bayesian analysis</subject><subject>Coalescing</subject><subject>Collaboration</subject><subject>Communities</subject><subject>Computer simulation</subject><subject>Data analysis</subject><subject>Gravitation</subject><subject>Gravitational waves</subject><subject>Matched filters</subject><subject>Mathematical models</subject><subject>Numerical methods</subject><subject>Numerical relativity</subject><subject>Parameter estimation</subject><subject>Physics - General Relativity and Quantum Cosmology</subject><subject>Relativity</subject><subject>Search algorithms</subject><subject>Search methods</subject><subject>Sensitivity analysis</subject><subject>Waveforms</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>GOX</sourceid><recordid>eNo9kE1Lw0AQhhdBsNTePcmAFz2k7ncTb6VYrZQK0nvYbnbbLUlTd5PW_gd_tBsrwsAMM898vQjdEDzkqRD4UfkvdxjiDJMhZ1l2gXqUMZKknNIrNAhhizGmckSFYD30vTShcbs1rL06uEY1rt6pMjmqg4FglNcbE-Domg3s2sp4p1UJ3pSRi_QJOs7WvgpP8GFCWzYBrK8raDYGrPOhgcV_22zxZnQ3H8ZxxSm4APeLmBw_wN7X21i7RpdWlcEM_nwfLafPy8lrMn9_mU3G80QJIhLCtGZMFzTlVlEruC4ENpnWo8JgnhEt42uraCspCmGl1CuSshiRYqRpilkf3Z7H_iqV772rlD_lnWJ5p1gE7s5AvOuzjQLl27r18eiQU5xyJrEkgv0AUOxxOA</recordid><startdate>20090709</startdate><enddate>20090709</enddate><creator>Aylott, Benjamin</creator><creator>Baker, John G</creator><creator>Boggs, William D</creator><creator>Boyle, Michael</creator><creator>Brady, Patrick R</creator><creator>Brown, Duncan A</creator><creator>Brügmann, Bernd</creator><creator>Buchman, Luisa T</creator><creator>Buonanno, Alessandra</creator><creator>Cadonati, Laura</creator><creator>Camp, Jordan</creator><creator>Campanelli, Manuela</creator><creator>Centrella, Joan</creator><creator>Chatterji, Shourov</creator><creator>Christensen, Nelson</creator><creator>Chu, Tony</creator><creator>Diener, Peter</creator><creator>Dorband, Nils</creator><creator>Etienne, Zachariah B</creator><creator>Faber, Joshua</creator><creator>Fairhurst, Stephen</creator><creator>Farr, Benjamin</creator><creator>Fischetti, Sebastian</creator><creator>Guidi, Gianluca</creator><creator>Goggin, Lisa M</creator><creator>Hannam, Mark</creator><creator>Herrmann, Frank</creator><creator>Hinder, Ian</creator><creator>Husa, Sascha</creator><creator>Kalogera, Vicky</creator><creator>Keppel, Drew</creator><creator>Kidder, Lawrence E</creator><creator>Kelly, Bernard J</creator><creator>Krishnan, Badri</creator><creator>Laguna, Pablo</creator><creator>Lousto, Carlos O</creator><creator>Mandel, 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waveforms: Results from the first Numerical INJection Analysis (NINJA) project</title><author>Aylott, Benjamin ; Baker, John G ; Boggs, William D ; Boyle, Michael ; Brady, Patrick R ; Brown, Duncan A ; Brügmann, Bernd ; Buchman, Luisa T ; Buonanno, Alessandra ; Cadonati, Laura ; Camp, Jordan ; Campanelli, Manuela ; Centrella, Joan ; Chatterji, Shourov ; Christensen, Nelson ; Chu, Tony ; Diener, Peter ; Dorband, Nils ; Etienne, Zachariah B ; Faber, Joshua ; Fairhurst, Stephen ; Farr, Benjamin ; Fischetti, Sebastian ; Guidi, Gianluca ; Goggin, Lisa M ; Hannam, Mark ; Herrmann, Frank ; Hinder, Ian ; Husa, Sascha ; Kalogera, Vicky ; Keppel, Drew ; Kidder, Lawrence E ; Kelly, Bernard J ; Krishnan, Badri ; Laguna, Pablo ; Lousto, Carlos O ; Mandel, Ilya ; Marronetti, Pedro ; Matzner, Richard ; McWilliams, Sean T ; Matthews, Keith D ; Mercer, R Adam ; Mohapatra, Satyanarayan R P ; Mroué, Abdul H ; Nakano, Hiroyuki ; Ochsner, Evan ; Pan, Yi ; Pekowsky, Larne ; Pfeiffer, Harald P ; Pollney, Denis ; Pretorius, Frans ; Raymond, Vivien ; Reisswig, Christian ; Rezzolla, Luciano ; Rinne, Oliver ; Robinson, Craig ; Röver, Christian ; Santamaría, Lucía ; Sathyaprakash, Bangalore ; Scheel, Mark A ; Schnetter, Erik ; Seiler, Jennifer ; Shapiro, Stuart L ; Shoemaker, Deirdre ; Sperhake, Ulrich ; Stroeer, Alexander ; Sturani, Riccardo ; Tichy, Wolfgang ; Yuk Tung Liu ; van der Sluys, Marc ; van Meter, James R ; Vaulin, Ruslan ; Vecchio, Alberto ; Veitch, John ; Viceré, Andrea ; Whelan, John T ; Zlochower, Yosef</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a515-13cc33cd284fa2f54cd50e9cc7de0491c6255b55bb65d5f66cb183d5f1d7c2803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Algorithms</topic><topic>Bayesian analysis</topic><topic>Coalescing</topic><topic>Collaboration</topic><topic>Communities</topic><topic>Computer simulation</topic><topic>Data analysis</topic><topic>Gravitation</topic><topic>Gravitational waves</topic><topic>Matched filters</topic><topic>Mathematical models</topic><topic>Numerical methods</topic><topic>Numerical relativity</topic><topic>Parameter estimation</topic><topic>Physics - General Relativity and Quantum Cosmology</topic><topic>Relativity</topic><topic>Search algorithms</topic><topic>Search methods</topic><topic>Sensitivity analysis</topic><topic>Waveforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Aylott, Benjamin</creatorcontrib><creatorcontrib>Baker, John G</creatorcontrib><creatorcontrib>Boggs, William D</creatorcontrib><creatorcontrib>Boyle, Michael</creatorcontrib><creatorcontrib>Brady, Patrick R</creatorcontrib><creatorcontrib>Brown, Duncan A</creatorcontrib><creatorcontrib>Brügmann, Bernd</creatorcontrib><creatorcontrib>Buchman, Luisa T</creatorcontrib><creatorcontrib>Buonanno, Alessandra</creatorcontrib><creatorcontrib>Cadonati, Laura</creatorcontrib><creatorcontrib>Camp, 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R</creatorcontrib><creatorcontrib>Vaulin, Ruslan</creatorcontrib><creatorcontrib>Vecchio, Alberto</creatorcontrib><creatorcontrib>Veitch, John</creatorcontrib><creatorcontrib>Viceré, Andrea</creatorcontrib><creatorcontrib>Whelan, John T</creatorcontrib><creatorcontrib>Zlochower, Yosef</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>arXiv.org</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aylott, Benjamin</au><au>Baker, John G</au><au>Boggs, William D</au><au>Boyle, Michael</au><au>Brady, Patrick R</au><au>Brown, Duncan A</au><au>Brügmann, Bernd</au><au>Buchman, Luisa T</au><au>Buonanno, Alessandra</au><au>Cadonati, Laura</au><au>Camp, Jordan</au><au>Campanelli, Manuela</au><au>Centrella, Joan</au><au>Chatterji, Shourov</au><au>Christensen, Nelson</au><au>Chu, Tony</au><au>Diener, Peter</au><au>Dorband, Nils</au><au>Etienne, Zachariah B</au><au>Faber, Joshua</au><au>Fairhurst, Stephen</au><au>Farr, Benjamin</au><au>Fischetti, Sebastian</au><au>Guidi, Gianluca</au><au>Goggin, Lisa M</au><au>Hannam, Mark</au><au>Herrmann, Frank</au><au>Hinder, Ian</au><au>Husa, Sascha</au><au>Kalogera, Vicky</au><au>Keppel, Drew</au><au>Kidder, Lawrence E</au><au>Kelly, Bernard J</au><au>Krishnan, Badri</au><au>Laguna, Pablo</au><au>Lousto, Carlos O</au><au>Mandel, Ilya</au><au>Marronetti, Pedro</au><au>Matzner, Richard</au><au>McWilliams, Sean T</au><au>Matthews, Keith D</au><au>Mercer, R Adam</au><au>Mohapatra, Satyanarayan R P</au><au>Mroué, Abdul H</au><au>Nakano, Hiroyuki</au><au>Ochsner, Evan</au><au>Pan, Yi</au><au>Pekowsky, Larne</au><au>Pfeiffer, Harald P</au><au>Pollney, Denis</au><au>Pretorius, Frans</au><au>Raymond, Vivien</au><au>Reisswig, Christian</au><au>Rezzolla, Luciano</au><au>Rinne, Oliver</au><au>Robinson, Craig</au><au>Röver, Christian</au><au>Santamaría, Lucía</au><au>Sathyaprakash, Bangalore</au><au>Scheel, Mark A</au><au>Schnetter, Erik</au><au>Seiler, Jennifer</au><au>Shapiro, Stuart L</au><au>Shoemaker, Deirdre</au><au>Sperhake, Ulrich</au><au>Stroeer, Alexander</au><au>Sturani, Riccardo</au><au>Tichy, Wolfgang</au><au>Yuk Tung Liu</au><au>van der Sluys, Marc</au><au>van Meter, James R</au><au>Vaulin, Ruslan</au><au>Vecchio, Alberto</au><au>Veitch, John</au><au>Viceré, Andrea</au><au>Whelan, John T</au><au>Zlochower, Yosef</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project</atitle><jtitle>arXiv.org</jtitle><date>2009-07-09</date><risdate>2009</risdate><eissn>2331-8422</eissn><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.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.0901.4399</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | EISSN: 2331-8422 |
ispartof | arXiv.org, 2009-07 |
issn | 2331-8422 |
language | eng |
recordid | cdi_arxiv_primary_0901_4399 |
source | arXiv.org; Free E- Journals |
subjects | Algorithms Bayesian analysis Coalescing Collaboration Communities Computer simulation Data analysis Gravitation Gravitational waves Matched filters Mathematical models Numerical methods Numerical relativity Parameter estimation Physics - General Relativity and Quantum Cosmology Relativity Search algorithms Search methods Sensitivity analysis Waveforms |
title | Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project |
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