The K2 galactic archaeology program data release 2: Asteroseismic results from campaigns 4, 6, and 7
Zinn JC, Stello D, Elsworth Y, García RA, Kallinger T, Mathur S, Mosser B, Bugnet LA, Jones C, Hon M, Sharma S, Schönrich R, Warfield JT, Luger R, Pinsonneault MH, Johnson JA, Huber D, Aguirre VS, Chaplin WJ, Davies GR, Miglio A. 2020. The K2 galactic archaeology program data release 2: Asteroseismic results from campaigns 4, 6, and 7. The Astrophysical Journal Supplement Series. 251(2), 23.
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Journal Article
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Author
Zinn, Joel C.;
Stello, Dennis;
Elsworth, Yvonne;
García, Rafael A.;
Kallinger, Thomas;
Mathur, Savita;
Mosser, Benoît;
Bugnet, Lisa AnnabelleISTA ;
Jones, Caitlin;
Hon, Marc;
Sharma, Sanjib;
Schönrich, Ralph
All
All
Abstract
Studies of Galactic structure and evolution have benefited enormously from Gaia kinematic information, though additional, intrinsic stellar parameters like age are required to best constrain Galactic models. Asteroseismology is the most precise method of providing such information for field star populations en masse, but existing samples for the most part have been limited to a few narrow fields of view by the CoRoT and Kepler missions. In an effort to provide well-characterized stellar parameters across a wide range in Galactic position, we present the second data release of red giant asteroseismic parameters for the K2 Galactic Archaeology Program (GAP). We provide ${\nu }_{\max }$ and ${\rm{\Delta }}\nu $ based on six independent pipeline analyses; first-ascent red giant branch (RGB) and red clump (RC) evolutionary state classifications from machine learning; and ready-to-use radius and mass coefficients, κR and κM, which, when appropriately multiplied by a solar-scaled effective temperature factor, yield physical stellar radii and masses. In total, we report 4395 radius and mass coefficients, with typical uncertainties of 3.3% (stat.) ± 1% (syst.) for κR and 7.7% (stat.) ± 2% (syst.) for κM among RGB stars, and 5.0% (stat.) ± 1% (syst.) for κR and 10.5% (stat.) ± 2% (syst.) for κM among RC stars. We verify that the sample is nearly complete—except for a dearth of stars with ${\nu }_{\max }\lesssim 10\mbox{--}20\,\mu \mathrm{Hz}$—by comparing to Galactic models and visual inspection. Our asteroseismic radii agree with radii derived from Gaia Data Release 2 parallaxes to within 2.2% ± 0.3% for RGB stars and 2.0% ± 0.6% for RC stars.
Publishing Year
Date Published
2020-12-01
Journal Title
The Astrophysical Journal Supplement Series
Publisher
IOP Publishing
Acknowledgement
We thank the referee for comments that strengthened the manuscript. J. C. Z. and M. H. P. acknowledge support from NASA grants 80NSSC18K0391 and NNX17AJ40G. Y. E. and C. J. acknowledge the support of the UK Science and Technology Facilities Council (STFC). S. M. would like to acknowledge support from the Spanish Ministry with the Ramon y Cajal fellowship number RYC-2015-17697. R. A. G. acknowledges funding received from the PLATO CNES grant. R. S. acknowledges funding via a Royal Society University Research Fellowship. D.H. acknowledges support from the Alfred P. Sloan Foundation and the National Aeronautics and Space Administration (80NSSC19K0108). V.S.A. acknowledges support from the Independent Research Fund Denmark (Research grant 7027-00096B), and the Carlsberg foundation (grant agreement CF19-0649). This research was supported in part by the National Science Foundation under grant No. NSF PHY-1748958.
Funding for the Stellar Astrophysics Centre (SAC) is provided by The Danish National Research Foundation (grant agreement No. DNRF106).
The K2 Galactic Archaeology Program is supported by the National Aeronautics and Space Administration under grant NNX16AJ17G issued through the K2 Guest Observer Program.
This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation.
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.
Funding for the Sloan Digital Sky Survey IV has been provided by the Alfred P. Sloan Foundation, the U.S. Department of Energy Office of Science, and the Participating Institutions. SDSS-IV acknowledges support and resources from the Center for High Performance Computing at the University of Utah. The SDSS website is www.sdss.org.
SDSS-IV is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS Collaboration, including the Brazilian Participation Group, the Carnegie Institution for Science, Carnegie Mellon University, the Chilean Participation Group, the French Participation Group, the Harvard–Smithsonian Center for Astrophysics, Instituto de Astrofísica de Canarias, The Johns Hopkins University, Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo, the Korean Participation Group, Lawrence Berkeley National Laboratory, Leibniz Institut für Astrophysik Potsdam (AIP), Max-Planck-Institut für Astronomie (MPIA Heidelberg), Max-Planck-Institut für Astrophysik (MPA Garching), Max-Planck-Institut für Extraterrestrische Physik (MPE), National Astronomical Observatories of China, New Mexico State University, New York University, University of Notre Dame, Observatário Nacional/MCTI, The Ohio State University, Pennsylvania State University, Shanghai Astronomical Observatory, United Kingdom Participation Group, Universidad Nacional Autónoma de México, University of Arizona, University of Colorado Boulder, University of Oxford, University of Portsmouth, University of Utah, University of Virginia, University of Washington, University of Wisconsin, Vanderbilt University, and Yale University.
Software: asfgrid (Sharma & Stello 2016), emcee (Foreman-Mackey et al. 2013), NumPy (Walt 2011), pandas (McKinney 2010; Reback et al. 2020), Matplotlib (Hunter 2007), IPython (Pérez & Granger 2007), SciPy (Virtanen et al. 2020).
Volume
251
Issue
2
Article Number
23
ISSN
eISSN
IST-REx-ID
Cite this
Zinn JC, Stello D, Elsworth Y, et al. The K2 galactic archaeology program data release 2: Asteroseismic results from campaigns 4, 6, and 7. The Astrophysical Journal Supplement Series. 2020;251(2). doi:10.3847/1538-4365/abbee3
Zinn, J. C., Stello, D., Elsworth, Y., García, R. A., Kallinger, T., Mathur, S., … Miglio, A. (2020). The K2 galactic archaeology program data release 2: Asteroseismic results from campaigns 4, 6, and 7. The Astrophysical Journal Supplement Series. IOP Publishing. https://doi.org/10.3847/1538-4365/abbee3
Zinn, Joel C., Dennis Stello, Yvonne Elsworth, Rafael A. García, Thomas Kallinger, Savita Mathur, Benoît Mosser, et al. “The K2 Galactic Archaeology Program Data Release 2: Asteroseismic Results from Campaigns 4, 6, and 7.” The Astrophysical Journal Supplement Series. IOP Publishing, 2020. https://doi.org/10.3847/1538-4365/abbee3.
J. C. Zinn et al., “The K2 galactic archaeology program data release 2: Asteroseismic results from campaigns 4, 6, and 7,” The Astrophysical Journal Supplement Series, vol. 251, no. 2. IOP Publishing, 2020.
Zinn JC, Stello D, Elsworth Y, García RA, Kallinger T, Mathur S, Mosser B, Bugnet LA, Jones C, Hon M, Sharma S, Schönrich R, Warfield JT, Luger R, Pinsonneault MH, Johnson JA, Huber D, Aguirre VS, Chaplin WJ, Davies GR, Miglio A. 2020. The K2 galactic archaeology program data release 2: Asteroseismic results from campaigns 4, 6, and 7. The Astrophysical Journal Supplement Series. 251(2), 23.
Zinn, Joel C., et al. “The K2 Galactic Archaeology Program Data Release 2: Asteroseismic Results from Campaigns 4, 6, and 7.” The Astrophysical Journal Supplement Series, vol. 251, no. 2, 23, IOP Publishing, 2020, doi:10.3847/1538-4365/abbee3.
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arXiv 2012.04051