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A data analysis library for gravitational wave detection

Published online by Cambridge University Press:  20 March 2013

A. Lassus ,
R. van Haasteren ,
C. M. F. Mingarelli ,
K. J. Lee  and
A. Vecchio
A. Lassus
Affiliation:
LPC2E, CNRS, Université d'Orléans email: antoine.lassus@cnrs-orléans.fr
R. van Haasteren
Affiliation:
Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut), D-30167 Hannover, Germany email: [email protected]
C. M. F. Mingarelli
Affiliation:
School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK email: [email protected], [email protected]
K. J. Lee
Affiliation:
Max-Planck-Institut für Radioastronomie, Auf dem Hügel 69, D-53121 Bonn, Germany email: [email protected]
A. Vecchio
Affiliation:
School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK email: [email protected], [email protected]
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Abstract

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One of the main goals of Pulsar Timing Arrays (PTAs) is the direct detection of gravitational waves (GWs). A first detection will be a major leap for astronomy and substantial effort is currently going into timing as many pulsars as possible, with the highest possible accuracy. As part of the individual PTA projects, several groups are developing data analysis methods for the final stage of a gravitational-waves search pipeline: the analysis of the timing residuals. Here we report the progress of on-going work to develop, within a Bayesian framework, a comprehensive and user friendly analysis library to search for gravitational waves in PTA data.

Keywords

pulsars: generalgravitational wavesmethods: data analysis
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 8 , Symposium S291: Neutron Stars and Pulsars: Challenges and Opportunities after 80 years , August 2012 , pp. 438 - 440
Copyright
Copyright © International Astronomical Union 2013

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