CaltechAUTHORS
  A Caltech Library Service

LISA verification binaries with updated distances from Gaia Data Release 2

Kupfer, T. and Korol, V. and Shah, S. and Nelemans, G. and Marsh, T. R. and Ramsay, G. and Groot, P. J. and Steeghs, D. T. H. and Rossi, E. M. (2018) LISA verification binaries with updated distances from Gaia Data Release 2. Monthly Notices of the Royal Astronomical Society, 480 (1). pp. 302-309. ISSN 0035-8711. https://resolver.caltech.edu/CaltechAUTHORS:20180912-152540067

[img] PDF - Published Version
See Usage Policy.

1193Kb
[img] PDF - Accepted Version
See Usage Policy.

770Kb

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20180912-152540067

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).


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1093/mnras/sty1545DOIArticle
https://arxiv.org/abs/1805.00482arXivDiscussion Paper
ORCID:
AuthorORCID
Kupfer, T.0000-0002-6540-1484
Marsh, T. R.0000-0002-2498-7589
Ramsay, G.0000-0001-8722-9710
Groot, P. J.0000-0002-4488-726X
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).
Funders:
Funding AgencyGrant Number
Gaia Multilateral AgreementUNSPECIFIED
Northern Ireland ExecutiveUNSPECIFIED
Subject Keywords:binaries: close – stars: distances – stars: individual: white dwarfs: AMCVns
Issue or Number:1
Record Number:CaltechAUTHORS:20180912-152540067
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180912-152540067
Official Citation:T Kupfer, V Korol, S Shah, G Nelemans, T R Marsh, G Ramsay, P J Groot, D T H Steeghs, E M Rossi; LISA verification binaries with updated distances from Gaia Data Release 2, Monthly Notices of the Royal Astronomical Society, Volume 480, Issue 1, 11 October 2018, Pages 302–309, https://doi.org/10.1093/mnras/sty1545
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:89596
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:12 Sep 2018 23:29
Last Modified:09 Mar 2020 13:19

Repository Staff Only: item control page