Open Access
Issue
A&A
Volume 683, March 2024
Article Number A21
Number of page(s) 12
Section Galactic structure, stellar clusters and populations
DOI https://doi.org/10.1051/0004-6361/202347811
Published online 29 February 2024
  1. Akaike, H. 1974, IEEE Trans. Autom. Control, 19, 716 [Google Scholar]
  2. Anzolin, G., de Martino, D., Bonnet-Bidaud, J.-M., et al. 2008, A&A, 489, 1243 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Bailer-Jones, C. A. L., Rybizki, J., Fouesneau, M., Demleitner, M., & Andrae, R. 2021, AJ, 161, 147 [Google Scholar]
  4. Barros, S. C. C., Marsh, T. R., Dhillon, V. S., et al. 2007, MNRAS, 374, 1334 [NASA ADS] [CrossRef] [Google Scholar]
  5. Bell, E. F., Zucker, D. B., Belokurov, V., et al. 2008, ApJ, 680, 295 [Google Scholar]
  6. Beuermann, K., Thomas, H. C., Reinsch, K., et al. 1999, A&A, 347, 47 [NASA ADS] [Google Scholar]
  7. Bianchi, L., Herald, J., Efremova, B., et al. 2011, Ap&SS, 335, 161 [Google Scholar]
  8. Brunner, H., Liu, T., Lamer, G., et al. 2022, A&A, 661, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Buchner, J., Georgakakis, A., Nandra, K., et al. 2014, A&A, 564, A125 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Burwitz, V., Reinsch, K., Beuermann, K., & Thomas, H.-C. 1996, A&A, 310, L25 [NASA ADS] [Google Scholar]
  11. Carpano, S., Haberl, F., Maitra, C., et al. 2022, A&A, 661, A20 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Chambers, K. C., Magnier, E. A., Metcalfe, N., et al. 2016, arXiv e-prints [arXiv:1612.05560] [Google Scholar]
  13. Colpi, M., Casella, P., Gorini, V., Moschella, U., & Possenti, A. 2009, Astrophys. Space Sci. Lib., 359, 305 [NASA ADS] [CrossRef] [Google Scholar]
  14. Cropper, M. 1990, Space Sci. Rev., 54, 195 [CrossRef] [Google Scholar]
  15. Cropper, M., Harrop-Allin, M. K., Mason, K. O., et al. 1998, MNRAS, 293, L57 [NASA ADS] [CrossRef] [Google Scholar]
  16. Dall’Osso, S., Israel, G. L., & Stella, L. 2006, A&A, 447, 785 [CrossRef] [EDP Sciences] [Google Scholar]
  17. Dall’Osso, S., Israel, G. L., & Stella, L. 2007, A&A, 464, 417 [CrossRef] [EDP Sciences] [Google Scholar]
  18. Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168 [Google Scholar]
  19. Dickey, J. M., & Lockman, F. J. 1990, ARA&A, 28, 215 [Google Scholar]
  20. Dolence, J., Wood, M. A., & Silver, I. 2008, ApJ, 683, 375 [NASA ADS] [CrossRef] [Google Scholar]
  21. Esposito, P., Israel, G. L., Dall’Osso, S., & Covino, S. 2014, A&A, 561, A117 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Feroz, F., Hobson, M. P., & Bridges, M. 2009, MNRAS, 398, 1601 [NASA ADS] [CrossRef] [Google Scholar]
  23. Flaugher, B., Diehl, H. T., Honscheid, K., et al. 2015, AJ, 150, 150 [Google Scholar]
  24. Gotthelf, E. V., Vasisht, G., & Dotani, T. 1999, ApJ, 522, L49 [NASA ADS] [CrossRef] [Google Scholar]
  25. Greiner, J., Bornemann, W., Clemens, C., et al. 2008, PASP, 120, 405 [Google Scholar]
  26. Haberl, F., & Motch, C. 1995, A&A, 297, L37 [NASA ADS] [Google Scholar]
  27. Haberl, F., Israel, G. L., Rodriguez Castillo, G. A., et al. 2017, A&A, 598, A69 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. Haberl, F., Maitra, C., Carpano, S., et al. 2022, A&A, 661, A25 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Israel, G. L., Hummel, W., Covino, S., et al. 2002, A&A, 386, L13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Israel, G. L., Covino, S., Stella, L., et al. 2003, ApJ, 598, 492 [NASA ADS] [CrossRef] [Google Scholar]
  31. Kahabka, P., & van den Heuvel, E. P. J. 1997, ARA&A, 35, 69 [NASA ADS] [CrossRef] [Google Scholar]
  32. Kahabka, P., Haberl, F., Pakull, M., et al. 2008, A&A, 482, 237 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Kaplan, D. L., Bildsten, L., & Steinfadt, J. D. R. 2012, ApJ, 758, 64 [NASA ADS] [CrossRef] [Google Scholar]
  34. Kilic, M., Hermes, J. J., Gianninas, A., et al. 2014, MNRAS, 438, L26 [NASA ADS] [CrossRef] [Google Scholar]
  35. Korol, V., Rossi, E. M., Groot, P. J., et al. 2017, MNRAS, 470, 1894 [NASA ADS] [CrossRef] [Google Scholar]
  36. Krühler, T., Küpcü Yoldaş, A., Greiner, J., et al. 2008, ApJ, 685, 376 [Google Scholar]
  37. Lai, D. 2012, ApJ, 757, L3 [NASA ADS] [CrossRef] [Google Scholar]
  38. Lang, D., Hogg, D. W., & Mykytyn, D. 2016, Astrophysics Source Code Library [record ascl:1604.008] [Google Scholar]
  39. Li, Z., Chen, X., Chen, H.-L., et al. 2020, ApJ, 893, 2 [NASA ADS] [CrossRef] [Google Scholar]
  40. Liu, D., Wang, B., & Han, Z. 2018, MNRAS, 473, 5352 [Google Scholar]
  41. Liu, T., Buchner, J., Nandra, K., et al. 2022, A&A, 661, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. Lomb, N. R. 1976, Ap&SS, 39, 447 [Google Scholar]
  43. Maitra, C., & Haberl, F. 2022, A&A, 657, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Maitra, C., Haberl, F., Vasilopoulos, G., et al. 2021, A&A, 647, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Marsh, T. R., & Steeghs, D. 2002, MNRAS, 331, L7 [NASA ADS] [CrossRef] [Google Scholar]
  46. Marsh, T. R., Nelemans, G., & Steeghs, D. 2004, MNRAS, 350, 113 [NASA ADS] [CrossRef] [Google Scholar]
  47. Mereghetti, S., Krachmalnicoff, N., La Palombara, N., et al. 2010, A&A, 519, A42 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Mukai, K. 2017, PASP, 129, 062001 [Google Scholar]
  49. Nelemans, G., Portegies Zwart, S. F., Verbunt, F., & Yungelson, L. R. 2001, A&A, 368, 939 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Ochsenbein, F., Bauer, P., & Marcout, J. 2000, A&AS, 143, 23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Orio, M., Gendreau, K., Giese, M., et al. 2022, ApJ, 932, 45 [NASA ADS] [CrossRef] [Google Scholar]
  52. Patterson, J., de Miguel, E., Kemp, J., et al. 2020, ApJ, 897, 70 [NASA ADS] [CrossRef] [Google Scholar]
  53. Pietrzyński, G., Graczyk, D., Gieren, W., et al. 2013, Nature, 495, 76 [Google Scholar]
  54. Postnov, K. A., & Yungelson, L. R. 2014, Liv. Rev. Relat., 17, 3 [NASA ADS] [CrossRef] [Google Scholar]
  55. Predehl, P., Andritschke, R., Arefiev, V., et al. 2021, A&A, 647, A1 [EDP Sciences] [Google Scholar]
  56. Ramsay, G. 2008, MNRAS, 384, 687 [NASA ADS] [CrossRef] [Google Scholar]
  57. Ramsay, G., Cropper, M., Wu, K., Mason, K. O., & Hakala, P. 2000, MNRAS, 311, 75 [NASA ADS] [CrossRef] [Google Scholar]
  58. Ramsay, G., Hakala, P., & Cropper, M. 2002, MNRAS, 332, L7 [NASA ADS] [CrossRef] [Google Scholar]
  59. Ramsay, G., Marsh, T. R., Kupfer, T., et al. 2018, A&A, 617, A88 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Ritter, H., & Kolb, U. 2003, A&A, 404, 301 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Robert, C. P., Chopin, N., & Rousseau, J. 2009, Stat. Sci., 24, 141 [Google Scholar]
  62. Rolleston, W. R. J., Trundle, C., & Dufton, P. L. 2002, A&A, 396, 53 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Scargle, J. D. 1982, ApJ, 263, 835 [Google Scholar]
  64. Schlafly, E. F., Finkbeiner, D. P., Jurić, M., et al. 2012, ApJ, 756, 158 [NASA ADS] [CrossRef] [Google Scholar]
  65. Schlegel, E. M. 2005, A&A, 433, 635 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  66. Schwope, A., Pires, A. M., Kurpas, J., et al. 2022, A&A, 661, A41 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  67. Simmonds, C., Buchner, J., Salvato, M., Hsu, L. T., & Bauer, F. E. 2018, A&A, 618, A66 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  68. Skilling, J. 2004, in Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, eds. R. Fischer, R. Preuss, & U. V. Toussaint, AIP Conf. Ser., 735, 395 [NASA ADS] [CrossRef] [Google Scholar]
  69. Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [NASA ADS] [CrossRef] [Google Scholar]
  70. Solheim, J. E. 2010, PASP, 122, 1133 [NASA ADS] [CrossRef] [Google Scholar]
  71. Strüder, L., Briel, U., Dennerl, K., et al. 2001, A&A, 365, L18 [Google Scholar]
  72. Sunyaev, R., Arefiev, V., Babyshkin, V., et al. 2021, A&A, 656, A132 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  73. Trümper, J., Hasinger, G., Aschenbach, B., et al. 1991, Nature, 349, 579 [Google Scholar]
  74. Turner, M. J. L., Abbey, A., Arnaud, M., et al. 2001, A&A, 365, L27 [CrossRef] [EDP Sciences] [Google Scholar]
  75. Valdes, F. 2021, The DECam Community Pipeline Instrumental Signature Removal, https://noirlab.edu/science/index.php/data-services/data-reduction-software/csdc-mso-pipelines/pl206 [Google Scholar]
  76. van den Heuvel, E. P. J., Bhattacharya, D., Nomoto, K., & Rappaport, S. A. 1992, A&A, 262, 97 [Google Scholar]
  77. Wilms, J., Allen, A., & McCray, R. 2000, ApJ, 542, 914 [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.