Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library
The Advanced LIGO and Advanced Virgo gravitational-wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a likely source for the first detections. The gravitational waveforms emitted directly encode information about the sources, including the masses an...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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American Physical Society
2015
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| Online Access: | http://hdl.handle.net/1721.1/94491 https://orcid.org/0000-0003-2700-0767 |
| _version_ | 1826199480444125184 |
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| author | Veitch, J. Raymond, V. Farr, B. Farr, Will M. Graff, P. B. Aylott, B. E. Blackburn, K. Christensen, N. Coughlin, M. W. Del Pozzo, W. Feroz, F. Gair, Jonathan R. Haster, C.-J. Kalogera, V. Littenberg, T. B. Mandel, I. O’Shaughnessy, R. Pitkin, M. Rodriguez, C. Röver, C. Sidery, T. Smith, R. Van Der Sluys, M. Vecchio, A. Vousden, W. Wade, L. Vitale, Salvatore |
| author2 | MIT Kavli Institute for Astrophysics and Space Research |
| author_facet | MIT Kavli Institute for Astrophysics and Space Research Veitch, J. Raymond, V. Farr, B. Farr, Will M. Graff, P. B. Aylott, B. E. Blackburn, K. Christensen, N. Coughlin, M. W. Del Pozzo, W. Feroz, F. Gair, Jonathan R. Haster, C.-J. Kalogera, V. Littenberg, T. B. Mandel, I. O’Shaughnessy, R. Pitkin, M. Rodriguez, C. Röver, C. Sidery, T. Smith, R. Van Der Sluys, M. Vecchio, A. Vousden, W. Wade, L. Vitale, Salvatore |
| author_sort | Veitch, J. |
| collection | MIT |
| description | The Advanced LIGO and Advanced Virgo gravitational-wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a likely source for the first detections. The gravitational waveforms emitted directly encode information about the sources, including the masses and spins of the compact objects. Recovering the physical parameters of the sources from the GW observations is a key analysis task. This work describes the LALInference software library for Bayesian parameter estimation of compact binary signals, which builds on several previous methods to provide a well-tested toolkit which has already been used for several studies. We show that our implementation is able to correctly recover the parameters of compact binary signals from simulated data from the advanced GW detectors. We demonstrate this with a detailed comparison on three compact binary systems: a binary neutron star, a neutron star–black hole binary and a binary black hole, where we show a cross comparison of results obtained using three independent sampling algorithms. These systems were analyzed with nonspinning, aligned spin and generic spin configurations respectively, showing that consistent results can be obtained even with the full 15-dimensional parameter space of the generic spin configurations. We also demonstrate statistically that the Bayesian credible intervals we recover correspond to frequentist confidence intervals under correct prior assumptions by analyzing a set of 100 signals drawn from the prior. We discuss the computational cost of these algorithms, and describe the general and problem-specific sampling techniques we have used to improve the efficiency of sampling the compact binary coalescence parameter space. |
| first_indexed | 2024-09-23T11:20:54Z |
| format | Article |
| id | mit-1721.1/94491 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:20:54Z |
| publishDate | 2015 |
| publisher | American Physical Society |
| record_format | dspace |
| spelling | mit-1721.1/944912022-09-27T18:53:06Z Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library Veitch, J. Raymond, V. Farr, B. Farr, Will M. Graff, P. B. Aylott, B. E. Blackburn, K. Christensen, N. Coughlin, M. W. Del Pozzo, W. Feroz, F. Gair, Jonathan R. Haster, C.-J. Kalogera, V. Littenberg, T. B. Mandel, I. O’Shaughnessy, R. Pitkin, M. Rodriguez, C. Röver, C. Sidery, T. Smith, R. Van Der Sluys, M. Vecchio, A. Vousden, W. Wade, L. Vitale, Salvatore MIT Kavli Institute for Astrophysics and Space Research Vitale, Salvatore The Advanced LIGO and Advanced Virgo gravitational-wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a likely source for the first detections. The gravitational waveforms emitted directly encode information about the sources, including the masses and spins of the compact objects. Recovering the physical parameters of the sources from the GW observations is a key analysis task. This work describes the LALInference software library for Bayesian parameter estimation of compact binary signals, which builds on several previous methods to provide a well-tested toolkit which has already been used for several studies. We show that our implementation is able to correctly recover the parameters of compact binary signals from simulated data from the advanced GW detectors. We demonstrate this with a detailed comparison on three compact binary systems: a binary neutron star, a neutron star–black hole binary and a binary black hole, where we show a cross comparison of results obtained using three independent sampling algorithms. These systems were analyzed with nonspinning, aligned spin and generic spin configurations respectively, showing that consistent results can be obtained even with the full 15-dimensional parameter space of the generic spin configurations. We also demonstrate statistically that the Bayesian credible intervals we recover correspond to frequentist confidence intervals under correct prior assumptions by analyzing a set of 100 signals drawn from the prior. We discuss the computational cost of these algorithms, and describe the general and problem-specific sampling techniques we have used to improve the efficiency of sampling the compact binary coalescence parameter space. National Science Foundation (U.S.) (University of Wisconsin--Milwaukee. Center for Gravitation and Cosmology. Grant PHY-0923409) National Science Foundation (U.S.) (University of Wisconsin--Milwaukee. Center for Gravitation and Cosmology. Grant PHY-0600953) Laser Interferometer Gravitational Wave Observatory National Science Foundation (U.S.) 2015-02-12T16:38:50Z 2015-02-12T16:38:50Z 2015-02 2014-09 2015-02-06T23:00:03Z Article http://purl.org/eprint/type/JournalArticle 1550-7998 1550-2368 http://hdl.handle.net/1721.1/94491 Veitch, J., V. Raymond, B. Farr, W. Farr, P. Graff, S. Vitale, B. Aylott, et al. “Parameter Estimation for Compact Binaries with Ground-Based Gravitational-Wave Observations Using the LALInference Software Library.” Phys. Rev. D 91, no. 4 (February 2015). © 2015 American Physical Society https://orcid.org/0000-0003-2700-0767 en http://dx.doi.org/10.1103/PhysRevD.91.042003 Physical Review D Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. American Physical Society application/pdf American Physical Society American Physical Society |
| spellingShingle | Veitch, J. Raymond, V. Farr, B. Farr, Will M. Graff, P. B. Aylott, B. E. Blackburn, K. Christensen, N. Coughlin, M. W. Del Pozzo, W. Feroz, F. Gair, Jonathan R. Haster, C.-J. Kalogera, V. Littenberg, T. B. Mandel, I. O’Shaughnessy, R. Pitkin, M. Rodriguez, C. Röver, C. Sidery, T. Smith, R. Van Der Sluys, M. Vecchio, A. Vousden, W. Wade, L. Vitale, Salvatore Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library |
| title | Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library |
| title_full | Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library |
| title_fullStr | Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library |
| title_full_unstemmed | Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library |
| title_short | Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library |
| title_sort | parameter estimation for compact binaries with ground based gravitational wave observations using the lalinference software library |
| url | http://hdl.handle.net/1721.1/94491 https://orcid.org/0000-0003-2700-0767 |
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