4.6 Article

The Gaia EDR3 view of Johnson-Kron-Cousins standard stars: the curated Landolt and Stetson collections

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ASTRONOMY & ASTROPHYSICS
卷 664, 期 -, 页码 -

出版社

EDP SCIENCES S A
DOI: 10.1051/0004-6361/202243939

关键词

techniques: photometric; catalogs; surveys; stars: fundamental parameters

资金

  1. INAF Main Stream grant [1.05.01.86.22]
  2. ASI (Agenzia Spaziale Italiana) [ASI 2014-049-R.0, ARS/96/77, ARS/98/92, ARS/99/81, I/R/32/00, I/R/117/01, COFIS-OF06-01, ASI I/016/07/0, ASI I/037/08/0, ASI I/058/10/0, ASI 2014-025-R.0, ASI 2014-025-R.1.2015, ASI 2018-24-HH.0]
  3. Alfred P. Sloan Foundation
  4. US Department of Energy Office of Science
  5. Center for High-Performance Computing at the University of Utah
  6. Brazilian Participation Group
  7. Carnegie Institution for Science
  8. Carnegie Mellon University
  9. Center for Astrophysics - Harvard & Smithsonian (CfA)
  10. Chilean Participation Group
  11. French Participation Group
  12. Instituto de Astrofisica de Canarias
  13. Johns Hopkins University
  14. Kavli Institute for the Physics and Mathematics of the Universe (IPMU) / University of Tokyo
  15. Korean Participation Group
  16. Lawrence Berkeley National Laboratory
  17. Leibniz Institut fuer Astrophysik Potsdam (AIP)
  18. Max-Planck-Institut fuer Astronomie (MPIA Heidelberg)
  19. Max-Planck-Institut fuer Astrophysik (MPA Garching)
  20. Max-Planck-Institut fuer Extraterrestrische Physik (MPE)
  21. National Astronomical Observatories of China
  22. New Mexico State University
  23. New York University
  24. University of Notre Dame
  25. Observatorio Nacional / MCTI
  26. Ohio State University
  27. Pennsylvania State University
  28. Shanghai Astronomical Observatory
  29. United Kingdom Participation Group
  30. Universidad Nacional Autonoma de Mexico
  31. University of Arizona
  32. University of Colorado Boulder
  33. University of Oxford
  34. University of Portsmouth
  35. University of Utah
  36. University of Virginia
  37. University of Washington
  38. University of Wisconsin
  39. Vanderbilt University
  40. Yale University
  41. Australian Astronomical Observatory [A/2013B/13, A/2014A/25, A/2015A/19, A2017A/18, A2018A/18, A2019A/1, A2019A/15, A/2016B/10, A/2017B/16, A/2018B/15, A/2015A/3, A/2015B/1, A/2015B/19, A/2016A/22, A/2016B/12, A/2017A/14]
  42. National Development and Reform Commission
  43. Leibniz Institute for Astrophysics Potsdam (AIP)
  44. Australian Astronomical Observatory
  45. Australian National University
  46. Australian Research Council
  47. French National Research Agency
  48. German Research Foundation [SPP 1177, SFB 881]
  49. European Research Council [ERC-StG 240271]
  50. Istituto Nazionale di Astrofisica at Padova
  51. National Science Foundation of the USA [AST-0908326]
  52. W. M. Keck foundation
  53. Macquarie University
  54. Netherlands Research School for Astronomy
  55. Natural Sciences and Engineering Research Council of Canada
  56. Slovenian Research Agency
  57. Swiss National Science Foundation
  58. Science & Technology Facilities Council of the UK
  59. Opticon
  60. Strasbourg Observatory
  61. University of Basel
  62. University of Groningen
  63. University of Heidelberg
  64. University of Sydney
  65. National Science Foundation [AST-2034437, AST-1238877]
  66. Caltech
  67. IPAC
  68. Weizmann Institute for Science
  69. Oskar Klein Center at Stockholm University
  70. University of Maryland
  71. Deutsches Elektronen-Synchrotron and Humboldt University
  72. TANGO Consortium of Taiwan
  73. University of Wisconsin at Milwaukee
  74. Trinity College Dublin
  75. Lawrence Livermore National Laboratories
  76. IN2P3, France
  77. National Aeronautics and Space Administration [NNX08AR22G]
  78. Spanish MINECO [AYA2017-84089]

向作者/读者索取更多资源

This study utilizes data from Gaia and other surveys to provide secondary standards in the Johnson-Kron-Cousins system and transformations between different photometric systems. The research findings are important for large-scale studies of stars and astronomical observations.
Context. In the era of large surveys and space missions, it is necessary to rely on large samples of well-characterized stars for inter-calibrating and comparing measurements from different surveys and catalogues. Among the most employed photometric systems, the Johnson-Kron-Cousins has been used for decades and for a large amount of important datasets. Aims. Our goal is to profit from the Gaia EDR3 data, Gaia official cross-match algorithm, and Gaia-derived literature catalogues, to provide a well-characterized and clean sample of secondary standards in the Johnson-Kron-Cousins system, as well as a set of transformations between the main photometric systems and the Johnson-Kron-Cousins one. Methods. Using Gaia as a reference, as well as data from reddening maps, spectroscopic surveys, and variable stars monitoring surveys, we curated and characterized the widely used Landolt and Stetson collections of more than 200 000 secondary standards, employing classical as well as machine learning techniques. In particular, our atmospheric parameters agree significantly better with spectroscopic ones, compared to other machine learning catalogues. We also cross-matched the curated collections with the major photometric surveys to provide a comprehensive set of reliable measurements in the most widely adopted photometric systems. Results. We provide a curated catalogue of secondary standards in the Johnson-Kron-Cousins system that are well-measured and as free as possible from variable and multiple sources. We characterize the collection in terms of astrophysical parameters, distance, reddening, and radial velocity. We provide a table with the magnitudes of the secondary standards in the most widely used photometric systems (ugriz, grizy, Gaia, HIPPARCOS, Tycho, 2MASS). We finally provide a set of 167 polynomial transformations, valid for dwarfs and giants, metal-poor and metal-rich stars, to transform UBVRI magnitudes in the above photometric systems and vice-versa.

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