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Placing limits on the stochastic gravitational-wave background using European Pulsar Timing Array data

Identifieur interne : 006C37 ( Main/Merge ); précédent : 006C36; suivant : 006C38

Placing limits on the stochastic gravitational-wave background using European Pulsar Timing Array data

Auteurs : R. Van Haasteren [Pays-Bas] ; Y. Levin [Pays-Bas, Australie] ; G. H. Janssen [Royaume-Uni] ; K. Lazaridis [Allemagne] ; M. Kramer [Royaume-Uni, Allemagne] ; B. W. Stappers [Royaume-Uni, Pays-Bas] ; G. Desvignes [France, États-Unis] ; M. B. Purver [Royaume-Uni] ; A. G. Lyne [Royaume-Uni] ; R. D. Ferdman [France] ; A. Jessner [Allemagne] ; I. Cognard [France] ; G. Theureau [France] ; N. D'Amico [Italie] ; A. Possenti [Italie] ; M. Burgay [Italie] ; A. Corongiu [Italie] ; J. W. T. Hessels [Pays-Bas] ; R. Smits [Royaume-Uni, Pays-Bas] ; J. P. W. Verbiest [Allemagne]

Source :

RBID : Pascal:11-0320593

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Abstract

Direct detection of low-frequency gravitational waves (GWs, 10-9 to 10-g Hz) is the main goal of pulsar timing array (PTA) projects. One of the main targets for the PTAs is to measure the stochastic background of gravitational waves (GWB) whose characteristic strain is expected to approximately follow a power-law of the form hc(f) = A(f /yr-1)α, where f is the GW frequency. In this paper we use the current data from the European PTA to determine an upper limit on the GWB amplitude A as a function of the unknown spectral slope α with a Bayesian algorithm, by modelling the GWB as a random Gaussian process. For the case α = -2/3, which is expected if the GWB is produced by supermassive black hole binaries, we obtain a 95 per cent confidence upper limit on A of 6 x 10-15, which is 1.8 times lower than the 95 per cent confidence GWB limit obtained by the Parkes PTA in 2006. Our approach to the data analysis incorporates the multitelescope nature of the European PTA and thus can serve as a useful template for future intercontinental PTA collaborations.

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Pascal:11-0320593

Le document en format XML

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<title xml:lang="en" level="a">Placing limits on the stochastic gravitational-wave background using European Pulsar Timing Array data</title>
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<country>Allemagne</country>
<placeName>
<region type="land" nuts="1">Rhénanie-du-Nord-Westphalie</region>
<region type="district" nuts="2">District de Cologne</region>
<settlement type="city">Bonn</settlement>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j" type="main">Monthly Notices of the Royal Astronomical Society</title>
<title level="j" type="abbreviated">Mon. Not. R. Astron. Soc.</title>
<idno type="ISSN">0035-8711</idno>
<imprint>
<date when="2011">2011</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt>
<title level="j" type="main">Monthly Notices of the Royal Astronomical Society</title>
<title level="j" type="abbreviated">Mon. Not. R. Astron. Soc.</title>
<idno type="ISSN">0035-8711</idno>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Algorithms</term>
<term>Confidence limit</term>
<term>Cosmology</term>
<term>Data analysis</term>
<term>Gaussian processes</term>
<term>Gravitational waves</term>
<term>Power law</term>
<term>Pulsars</term>
<term>Stochastic processes</term>
<term>Supermassive black hole</term>
<term>Timing</term>
<term>Upper bound</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Onde gravitationnelle</term>
<term>Pulsar</term>
<term>Timing</term>
<term>Loi puissance</term>
<term>Borne supérieure</term>
<term>Algorithme</term>
<term>Processus stochastique</term>
<term>Processus gaussien</term>
<term>Trou noir supermassif</term>
<term>Limite confiance</term>
<term>Analyse donnée</term>
<term>Cosmologie</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Cosmologie</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Direct detection of low-frequency gravitational waves (GWs, 10
<sup>-9</sup>
to 10
<sup>-g</sup>
Hz) is the main goal of pulsar timing array (PTA) projects. One of the main targets for the PTAs is to measure the stochastic background of gravitational waves (GWB) whose characteristic strain is expected to approximately follow a power-law of the form h
<sub>c</sub>
(f) = A(f /yr
<sup>-1</sup>
)α, where f is the GW frequency. In this paper we use the current data from the European PTA to determine an upper limit on the GWB amplitude A as a function of the unknown spectral slope α with a Bayesian algorithm, by modelling the GWB as a random Gaussian process. For the case α = -2/3, which is expected if the GWB is produced by supermassive black hole binaries, we obtain a 95 per cent confidence upper limit on A of 6 x 10
<sup>-15</sup>
, which is 1.8 times lower than the 95 per cent confidence GWB limit obtained by the Parkes PTA in 2006. Our approach to the data analysis incorporates the multitelescope nature of the European PTA and thus can serve as a useful template for future intercontinental PTA collaborations.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Allemagne</li>
<li>Australie</li>
<li>France</li>
<li>Italie</li>
<li>Pays-Bas</li>
<li>Royaume-Uni</li>
<li>États-Unis</li>
</country>
<region>
<li>Angleterre</li>
<li>District de Cologne</li>
<li>Grand Manchester</li>
<li>Hollande-Septentrionale</li>
<li>Rhénanie-du-Nord-Westphalie</li>
</region>
<settlement>
<li>Amsterdam</li>
<li>Bonn</li>
<li>Manchester</li>
</settlement>
<orgName>
<li>Université d'Amsterdam</li>
<li>Université de Manchester</li>
</orgName>
</list>
<tree>
<country name="Pays-Bas">
<noRegion>
<name sortKey="Van Haasteren, R" sort="Van Haasteren, R" uniqKey="Van Haasteren R" first="R." last="Van Haasteren">R. Van Haasteren</name>
</noRegion>
<name sortKey="Hessels, J W T" sort="Hessels, J W T" uniqKey="Hessels J" first="J. W. T." last="Hessels">J. W. T. Hessels</name>
<name sortKey="Hessels, J W T" sort="Hessels, J W T" uniqKey="Hessels J" first="J. W. T." last="Hessels">J. W. T. Hessels</name>
<name sortKey="Levin, Y" sort="Levin, Y" uniqKey="Levin Y" first="Y." last="Levin">Y. Levin</name>
<name sortKey="Smits, R" sort="Smits, R" uniqKey="Smits R" first="R." last="Smits">R. Smits</name>
<name sortKey="Stappers, B W" sort="Stappers, B W" uniqKey="Stappers B" first="B. W." last="Stappers">B. W. Stappers</name>
</country>
<country name="Australie">
<noRegion>
<name sortKey="Levin, Y" sort="Levin, Y" uniqKey="Levin Y" first="Y." last="Levin">Y. Levin</name>
</noRegion>
</country>
<country name="Royaume-Uni">
<region name="Angleterre">
<name sortKey="Janssen, G H" sort="Janssen, G H" uniqKey="Janssen G" first="G. H." last="Janssen">G. H. Janssen</name>
</region>
<name sortKey="Kramer, M" sort="Kramer, M" uniqKey="Kramer M" first="M." last="Kramer">M. Kramer</name>
<name sortKey="Lyne, A G" sort="Lyne, A G" uniqKey="Lyne A" first="A. G." last="Lyne">A. G. Lyne</name>
<name sortKey="Purver, M B" sort="Purver, M B" uniqKey="Purver M" first="M. B." last="Purver">M. B. Purver</name>
<name sortKey="Smits, R" sort="Smits, R" uniqKey="Smits R" first="R." last="Smits">R. Smits</name>
<name sortKey="Stappers, B W" sort="Stappers, B W" uniqKey="Stappers B" first="B. W." last="Stappers">B. W. Stappers</name>
</country>
<country name="Allemagne">
<region name="Rhénanie-du-Nord-Westphalie">
<name sortKey="Lazaridis, K" sort="Lazaridis, K" uniqKey="Lazaridis K" first="K." last="Lazaridis">K. Lazaridis</name>
</region>
<name sortKey="Jessner, A" sort="Jessner, A" uniqKey="Jessner A" first="A." last="Jessner">A. Jessner</name>
<name sortKey="Kramer, M" sort="Kramer, M" uniqKey="Kramer M" first="M." last="Kramer">M. Kramer</name>
<name sortKey="Verbiest, J P W" sort="Verbiest, J P W" uniqKey="Verbiest J" first="J. P. W." last="Verbiest">J. P. W. Verbiest</name>
</country>
<country name="France">
<noRegion>
<name sortKey="Desvignes, G" sort="Desvignes, G" uniqKey="Desvignes G" first="G." last="Desvignes">G. Desvignes</name>
</noRegion>
<name sortKey="Cognard, I" sort="Cognard, I" uniqKey="Cognard I" first="I." last="Cognard">I. Cognard</name>
<name sortKey="Cognard, I" sort="Cognard, I" uniqKey="Cognard I" first="I." last="Cognard">I. Cognard</name>
<name sortKey="Desvignes, G" sort="Desvignes, G" uniqKey="Desvignes G" first="G." last="Desvignes">G. Desvignes</name>
<name sortKey="Ferdman, R D" sort="Ferdman, R D" uniqKey="Ferdman R" first="R. D." last="Ferdman">R. D. Ferdman</name>
<name sortKey="Ferdman, R D" sort="Ferdman, R D" uniqKey="Ferdman R" first="R. D." last="Ferdman">R. D. Ferdman</name>
<name sortKey="Theureau, G" sort="Theureau, G" uniqKey="Theureau G" first="G." last="Theureau">G. Theureau</name>
<name sortKey="Theureau, G" sort="Theureau, G" uniqKey="Theureau G" first="G." last="Theureau">G. Theureau</name>
</country>
<country name="États-Unis">
<noRegion>
<name sortKey="Desvignes, G" sort="Desvignes, G" uniqKey="Desvignes G" first="G." last="Desvignes">G. Desvignes</name>
</noRegion>
</country>
<country name="Italie">
<noRegion>
<name sortKey="D Amico, N" sort="D Amico, N" uniqKey="D Amico N" first="N." last="D'Amico">N. D'Amico</name>
</noRegion>
<name sortKey="Burgay, M" sort="Burgay, M" uniqKey="Burgay M" first="M." last="Burgay">M. Burgay</name>
<name sortKey="Corongiu, A" sort="Corongiu, A" uniqKey="Corongiu A" first="A." last="Corongiu">A. Corongiu</name>
<name sortKey="D Amico, N" sort="D Amico, N" uniqKey="D Amico N" first="N." last="D'Amico">N. D'Amico</name>
<name sortKey="Possenti, A" sort="Possenti, A" uniqKey="Possenti A" first="A." last="Possenti">A. Possenti</name>
</country>
</tree>
</affiliations>
</record>

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