Published December 2018 | Version Published + Accepted Version
Journal Article Open

Measuring the Recoverability of Close Binaries in Gaia DR2 with the Robo-AO Kepler Survey

  • 1. ROR icon University of Toronto
  • 2. ROR icon University of North Carolina at Chapel Hill
  • 3. ROR icon University of Hawaii at Manoa
  • 4. ROR icon Princeton University
  • 5. ROR icon California Institute of Technology
  • 6. ROR icon Northern Kentucky University
  • 7. ROR icon Vanderbilt University
  • 8. ROR icon University of Sydney
  • 9. ROR icon Search for Extraterrestrial Intelligence
  • 10. ROR icon Aarhus University
  • 11. ROR icon Pennsylvania State University
  • 12. ROR icon Lehigh University

Abstract

We use the Robo-AO survey of Kepler planetary candidate host stars, the largest adaptive optics survey yet performed, to measure the recovery rate of close stellar binaries in Gaia DR2. We find that Gaia recovers binaries down to 1'' at magnitude contrasts as large as six; closer systems are not resolved, regardless of secondary brightness. Gaia DR2 binary detection does not have a strong dependence on the orientation of the stellar pairs. We find 177 nearby stars to Kepler planetary candidate host stars in Gaia DR2 that were not detected in the Robo-AO survey, almost all of which are faint (G > 20); the remainder were largely targets observed by Robo-AO in poor conditions. If the primary star is the host, the impact on the radii estimates of planet candidates in these systems is likely minimal; many of these faint stars, however, could be faint eclipsing binaries that are the source of a false positive planetary transit signal. With Robo-AO and Gaia combined, we find that 18.7 ± 0.7% of Kepler planet candidate hosts have nearby stars within 4''. We also find 36 nearby stars in Gaia DR2 around 35 planetary candidate host stars detected with K2. The nearby star fraction rate for K2 planetary candidates is significantly lower than that for the primary Kepler mission. The binary recovery rate of Gaia will improve initial radius estimates of future Transiting Exoplanet Survey Satellite planet candidates significantly; however, ground-based high-resolution follow-up observations are still needed for precise characterization and confirmation. The sensitivity of Gaia to closely separated binaries is expected to improve in later data releases.

Additional Information

© 2018. The American Astronomical Society. Received 2018 June 25; revised 2018 June 29; accepted 2018 July 6; published 2018 November 9. This work uses data from research supported by the NASA Exoplanets Research Program, grant #NNX 15AC91G. C.Z. is supported by a Dunlap Fellowship at the Dunlap Institute for Astronomy & Astrophysics, funded through an endowment established by the Dunlap family and the University of Toronto. C.B. acknowledges support from the Alfred P. Sloan Foundation. T.M is supported by NASA grant #NNX 14AE11G under the Kepler Participating Scientist Program. S.M. acknowledges support from the National Science Foundation award AST-1517592. D.H. acknowledges support by the National Science Foundation (AST-1717000) and the National Aeronautics and Space Administration under grant NNX14AB92G issued through the Kepler Participating Scientist Program. The authors thank the Research Corporation for hosting the 2018 Time Domain Astronomy Scialog, where the idea for this project originated. The Robo-AO team thanks NSF and NOAO for making the Kitt Peak 2.1 m telescope available. Robo-AO KP is a partnership between the California Institute of Technology, the University of Hawaii, the University of North Carolina at Chapel Hill, the Inter-University Centre for Astronomy and Astrophysics (IUCAA) at Pune, India, and the National Central University, Taiwan. The Murty family feels very happy to have added a small value to this important project. Robo-AO KP is also supported by grants from the John Templeton Foundation and the Mt. Cuba Astronomical Foundation. This research has made use of the NASA Exoplanet Archive, which is operated by the California Institute of Technology, under contract with the National Aeronautics and Space Administration under the Exoplanet Exploration Program. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This work made use of the gaia-kepler.fun crossmatch database created by Megan Bedell. We thank the anonymous referee for her or his careful analysis and useful comments on the manuscript. Facilities: PO:1.5m (Robo-AO) - , KPNO:2.1m (Robo-AO) - , Gaia - .

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Published - Ziegler_2018_AJ_156_259.pdf

Accepted Version - 1806.10142

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Additional details

Identifiers

Eprint ID
90867
Resolver ID
CaltechAUTHORS:20181113-112609569

Related works

Funding

NASA
NNX15AC91G
Dunlap Institute for Astronomy and Astrophysics
Alfred P. Sloan Foundation
NASA
NNX14AE11G
NSF
AST-1517592
NSF
AST-1717000
NASA
NNX14AB92G
John Templeton Foundation
Mt. Cuba Astronomical Foundation
NASA/JPL/Caltech
Gaia Multilateral Agreement

Dates

Created
2018-11-14
Created from EPrint's datestamp field
Updated
2021-11-16
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