EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 674 (June 2023) A&A, 674 (2023) A3 References
Gaia Data Release 3
Open Access
Issue
A&A
Volume 674, June 2023
Gaia Data Release 3
Article Number A3
Number of page(s) 33
Section Catalogs and data
DOI https://doi.org/10.1051/0004-6361/202243880
Published online 16 June 2023
  1. Altavilla, G., Marinoni, S., Pancino, E., et al. 2015, Astron. Nachr., 336, 515 [NASA ADS] [CrossRef] [Google Scholar]
  2. Altavilla, G., Marinoni, S., Pancino, E., et al. 2021, MNRAS, 501, 2848 [NASA ADS] [CrossRef] [Google Scholar]
  3. Andrae, R., Fouesneau, M., Sordo, R., et al. 2023, A&A, 674, A27 (Gaia DR3 SI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Astropy Collaboration (Price-Whelan, A., et al.) 2018, AJ, 156, 123 [NASA ADS] [CrossRef] [Google Scholar]
  5. Bessell, M. S. 2005, ARA&A, 43, 293 [NASA ADS] [CrossRef] [Google Scholar]
  6. Bessell, M., & Murphy, S. 2012, PASP, 124, 140 [NASA ADS] [CrossRef] [Google Scholar]
  7. Boch, T., & Fernique, P. 2014, in Astronomical Data Analysis Software and Systems XXIII, eds. N. Manset, & P. Forshay, ASP Conf. Ser., 485, 277 [NASA ADS] [Google Scholar]
  8. Bohlin, R. C., Gordon, K. D., & Tremblay, P. E. 2014, PASP, 126, 711 [NASA ADS] [Google Scholar]
  9. Bohlin, R. C., Hubeny, I., & Rauch, T. 2020, AJ, 160, 21 [Google Scholar]
  10. Bonnarel, F., Fernique, P., Bienaymé, O., et al. 2000, A&AS, 143, 33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Carrasco, J. M., Weiler, M., Jordi, C., et al. 2021, A&A, 652, A86 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Clem, J. L., & Landolt, A. U. 2013, AJ, 146, 88 [NASA ADS] [CrossRef] [Google Scholar]
  13. Clem, J. L., & Landolt, A. U. 2016, AJ, 152, 91 [Google Scholar]
  14. Cousins, A. W. J. 1973, Mem. R. Astron. Soc., 77, 223 [NASA ADS] [Google Scholar]
  15. Cousins, A. W. J. 1983, S. Afr. Astron. Obs. Circ., 7, 47 [Google Scholar]
  16. Cousins, A. W. J. 1984, S. Afr. Astron. Obs. Circ., 8, 59 [Google Scholar]
  17. Creevey, O. L., Sordo, R., Pailler, F., et al. 2023, A&A, 674, A26 (Gaia DR3 SI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. De Angeli, F., Weiler, M., Montegriffo, P., et al. 2023, A&A, 674, A2 (Gaia DR3 SI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Evans, D. W., Riello, M., De Angeli, F., et al. 2018, A&A, 616, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Fabricius, C., Høg, E., Makarov, V. V., et al. 2002, A&A, 384, 180 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Fouesneau, M., Frémat, Y., Andrae, R., et al. 2023, A&A, 674, A28 (Gaia DR3 SI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Gaia Collaboration (Vallenari, A., et al.) 2023a, A&A, 674, A1 (Gaia DR3 SI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Gaia Collaboration (Montegriffo, P., et al.) 2023b, A&A, 674, A33 (Gaia DR3 SI) [CrossRef] [EDP Sciences] [Google Scholar]
  25. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [Google Scholar]
  26. Heap, S. R., & Lindler, D. 2016, in The Science of Calibration, eds. S. Deustua, S. Allam, D. Tucker, & J. A. Smith, ASP Conf. Ser., 503, 211 [NASA ADS] [Google Scholar]
  27. Høg, E., Fabricius, C., Makarov, V. V., et al. 2000, A&A, 355, L27 [Google Scholar]
  28. Huffel, S., & Vandewalle, J. 1991, The Total Least Squares Problem: Computational Aspects and Analysis (Philadelphia: Society for Industrial and Applied Mathematics) [CrossRef] [Google Scholar]
  29. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [Google Scholar]
  30. Johnson, H. L. 1963, in Basic Astronomical Data: Stars and Stellar Systems, ed. K. A. Strand, 204 [Google Scholar]
  31. Johnson, H. L., & Morgan, W. W. 1953, ApJ, 117, 313 [NASA ADS] [CrossRef] [Google Scholar]
  32. Jordi, C., Høg, E., Brown, A. G. A., et al. 2006, MNRAS, 367, 290 [NASA ADS] [CrossRef] [Google Scholar]
  33. Kron, G. E., White, H. S., & Gascoigne, S. C. B. 1953, ApJ, 118, 502 [NASA ADS] [CrossRef] [Google Scholar]
  34. Landolt, A. U. 1992, AJ, 104, 340 [Google Scholar]
  35. Landolt, A. U. 2007, AJ, 133, 2502 [Google Scholar]
  36. Landolt, A. U. 2009, AJ, 137, 4186 [Google Scholar]
  37. Landolt, A. U. 2013, AJ, 146, 131 [Google Scholar]
  38. Landolt, A. U., & Uomoto, A. K. 2007, AJ, 133, 768 [Google Scholar]
  39. Le Borgne, J. F., Bruzual, G., Pelló, R., et al. 2003, A&A, 402, 433 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Lindegren, L. 2006, Gaia Data Processing and Analysis Consortium (DPAC) Technical Note GAIA-C3-TN-LU-LL-068, http://www.cosmos.esa.int/web/gaia/public-dpac-documents [Google Scholar]
  41. Lindegren, L. 2009, Gaia Data Processing and Analysis Consortium (DPAC) Technical Note GAIA-C3-TN-LU-LL-084, http://www.cosmos.esa.int/web/gaia/public-dpac-documents [Google Scholar]
  42. Lindegren, L. 2010, Gaia Data Processing and Analysis Consortium (DPAC) Technical Note GAIA-C3-TN-LU-LL-084, http://www.cosmos.esa.int/web/gaia/public-dpac-documents [Google Scholar]
  43. Lindegren, L., Klioner, S. A., Hernández, J., et al. 2021, A&A, 649, A2 [EDP Sciences] [Google Scholar]
  44. Lyke, B. W., Higley, A. N., McLane, J. N., et al. 2020, ApJS, 250, 8 [NASA ADS] [CrossRef] [Google Scholar]
  45. Marinoni, S., Pancino, E., Altavilla, G., et al. 2016, MNRAS, 462, 3616 [Google Scholar]
  46. MATLAB 2018, Version 9.4.0 (R2018a) (Natick, Massachusetts: The MathWorks Inc.) [Google Scholar]
  47. Montegriffo, P. 2017, Gaia Data Processing and Analysis Consortium (DPAC) Technical Note GAIA-C5-OABO-PMN-012, http://www.cosmos.esa.int/web/gaia/public-dpac-documents [Google Scholar]
  48. Montegriffo, P., Pancino, E., & Sanna, N. 2022, Gaia Data Processing and Analysis Consortium (DPAC) Technical Note GAIA-C5-OABO-PMN-016, http://www.cosmos.esa.int/web/gaia/public-dpac-documents [Google Scholar]
  49. Ochsenbein, F., Bauer, P., & Marcout, J. 2000, A&AS, 143, 23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Pancino, E., Altavilla, G., Marinoni, S., et al. 2012, MNRAS, 426, 1767 [Google Scholar]
  51. Pancino, E., Sanna, N., Altavilla, G., et al. 2021, MNRAS, 503, 3660 [Google Scholar]
  52. Pancino, E., Marrese, P. M., Marinoni, S., et al. 2022, A&A, 664, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  53. Pérez, F., & Granger, B. E. 2007, Comput. Sci. Eng., 9, 21 [Google Scholar]
  54. Perryman, M. A. C., Lindegren, L., Kovalevsky, J., et al. 1997, A&A, 323, L49 [Google Scholar]
  55. Riello, M., De Angeli, F., Evans, D. W., et al. 2021, A&A, 649, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Rodrigo, C., & Solano, E. 2020, XIV.0 Scientific Meeting (virtual) of the Spanish Astronomical Society, 182 [Google Scholar]
  57. Storn, R., & Price, K. 1997, J. Glob. Optim., 11, 341 [Google Scholar]
  58. Taylor, M. B. 2005, in Astronomical Data Analysis Software and Systems XIV, eds. P. Shopbell, M. Britton, & R. Ebert, ASP Conf. Ser., 347, 29 [Google Scholar]
  59. Taylor, M. B. 2006, in Astronomical Data Analysis Software and Systems XV, eds. C. Gabriel, C. Arviset, D. Ponz, & S. Enrique, ASP Conf. Ser., 351, 666 [Google Scholar]
  60. van Leeuwen, F. 2007, A&A, 474, 653 [CrossRef] [EDP Sciences] [Google Scholar]
  61. van Leeuwen, F., Evans, D. W., Grenon, M., et al. 1997, A&A, 323, L61 [NASA ADS] [Google Scholar]
  62. Verro, K., Trager, S. C., Peletier, R. F., et al. 2022, A&A, 660, A34 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Weiler, M., Carrasco, J. M., Fabricius, C., & Jordi, C. 2020, A&A, 637, A85 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. Wenger, M., Ochsenbein, F., Egret, D., et al. 2000, A&AS, 143, 9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  65. Ye, J., Janardan, R., & Li, Q. 2004, Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, KDD04, Seattle, Washington, USA, 354 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.