Improved distances and ages for stars common to TGAS and RAVE
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Authors
McMillan, Paul J
Kordopatis, Georges
Kunder, Andrea
Binney, James
Wojno, Jennifer
Zwitter, Tomaz
Steinmetz, Matthias
Bland-Hawthorn, Joss
Gibson, Brad K
Grebel, Eva K
Helmi, Amina
Munari, Ulisse
Navarro, Julio F
Parker, Quentin A
Seabroke, George
Watson, Fred
Wyse, Rosemary FG
Publication Date
2018-07-11Journal Title
Monthly Notices of the Royal Astronomical Society
ISSN
1365-2966
Publisher
Oxford University Press
Volume
477
Issue
4
Pages
5279-5300
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
McMillan, P. J., Kordopatis, G., Kunder, A., Binney, J., Wojno, J., Zwitter, T., Steinmetz, M., et al. (2018). Improved distances and ages for stars common to TGAS and RAVE. Monthly Notices of the Royal Astronomical Society, 477 (4), 5279-5300. https://doi.org/10.1093/mnras/sty990
Abstract
ABSTRACT
We combine parallaxes from the first Gaia data release with the spectrophotometric distance
estimation framework for stars in the fifth RAVE survey data release. The combined distance
estimates are more accurate than either determination in isolation – uncertainties are on average
two times smaller than for RAVE-only distances (three times smaller for dwarfs), and 1.4 times
smaller than TGAS parallax uncertainties (two times smaller for giants). We are also able to
compare the estimates from spectrophotometry to those from Gaia, and use this to assess the
reliability of both catalogues and improve our distance estimates.We find that the distances to
the lowest log g stars are, on average, overestimated and caution that they may not be reliable.
We also find that it is likely that the Gaia random uncertainties are smaller than the reported
values. As a byproduct we derive ages for the RAVE stars, many with relative uncertainties less
than 20 percent. These results for 219 566 RAVE sources have been made publicly available,
and we encourage their use for studies that combine the radial velocities provided by RAVE
with the proper motions provided by Gaia. A sample that we believe to be reliable can be
found by taking only the stars with the flag notification ‘flag_any=0’.
Key words: Galaxy: fundamental parameters – methods: statistical –
Keywords
methods: statistical, Galaxy: fundamental parameters, Galaxy: kinematics and dynamics, Galaxy: structure
Sponsorship
Funding for the research in this study came from the Swedish National Space Board, the Royal Physiographic Society in Lund, and some of the computations were performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at Lunarc under project SNIC 2016/4-17. Funding for RAVE has been provided by: the Australian Astronomical Observatory; the Leibniz-Institut fuer Astrophysik Potsdam (AIP); the Australian National University; the Australian Research Council; the French National Research Agency; the German Research Foundation (SPP 1177 and SFB 881); the European Research Council (ERC-StG 240271 Galactica); the Istituto Nazionale di Astrofisica at Padova; The Johns Hopkins University; the National Science Foundation of the USA (AST-0908326); the W. M. Keck foundation; the Macquarie University; the Netherlands Research School for Astronomy; the Natural Sciences and Engineering Research Council of Canada; the Slovenian Research Agency (research core funding No. P1-0188); the Swiss National Science Foundation; the Science & Technology Facilities Council of the UK; Opticon; Strasbourg Observatory; and the Universities of Groningen, Heidelberg and Sydney. The RAVE web site is https://www.rave-survey.org. 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.
Identifiers
External DOI: https://doi.org/10.1093/mnras/sty990
This record's URL: https://www.repository.cam.ac.uk/handle/1810/280258
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