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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Veröffentlicht in:arXiv.org 2009-07
Hauptverfasser: 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
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container_title arXiv.org
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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
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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 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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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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, 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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 &amp; 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 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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>
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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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