LISA verification binaries with updated distances from Gaia Data Release 2
Abstract
Ultracompact binaries with orbital periods less than a few hours will dominate the gravitational wave signal in the mHz regime. Until recently, 10 systems were expected to have a predicted gravitational wave signal strong enough to be detectable by the Laser Interferometer Space Antenna (LISA), the so-called 'verification binaries'. System parameters, including distances, are needed to provide an accurate prediction of the expected gravitational wave strength to be measured by LISA. Using parallaxes from Gaia Data Release 2 we calculate signal-to-noise ratios (SNR) for ≈50 verification binary candidates. We find that 11 binaries reach an SNR ≥ 20, two further binaries reaching an SNR≥ 5, and three more systems are expected to have a SNR≈ 5 after 4 yr integration with LISA. For these 16 systems, we present predictions of the gravitational wave amplitude (A) and parameter uncertainties from Fisher information matrix on the amplitude (A) and inclination (ι).
Additional Information
© 2018 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/about_us/legal/notices). Accepted 2018 June 6. Received 2018 June 5; in original form 2018 May 1. Published: 14 June 2018. TK would like to thank Thomas Tauris for useful comments on the manuscript. VK would like to thank Tommaso Marchetti for useful discussion on derivation of Gaia distances. This work presents results from the European Space Agency (ESA) space mission Gaia. Gaia data is being processed by the Gaia Data Processing and Analysis Consortium (DPAC). Funding for the DPAC is provided by national institutions, in particular the institutions participating in the Gaia MultiLateral Agreement (MLA). The Gaia mission website is https://www.cosmos.esa.int/gaia. The Gaia archive website is https://archives.esac.esa.int/gaia. Armagh Observatory and Planetarium is core funded by the Northern Ireland Executive through the Dept. for Communities. This research made use of NUMPY (Van Der Walt, Colbert & Varoquaux 2011) This research made use of MATPLOTLIB, a Python library for publication quality graphics (Hunter 2007) This research made use of ASTROPY, a community-developed core PYTHON package for Astronomy (Astropy Collaboration et al. 2013).Attached Files
Published - sty1545.pdf
Accepted Version - 1805.00482.pdf
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Additional details
- Eprint ID
- 89596
- Resolver ID
- CaltechAUTHORS:20180912-152540067
- Gaia Multilateral Agreement
- Northern Ireland Executive
- Created
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2018-09-12Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field