Free Access
Issue
A&A
Volume 614, June 2018
Article Number A65
Number of page(s) 21
Section Interstellar and circumstellar matter
DOI https://doi.org/10.1051/0004-6361/201731396
Published online 15 June 2018
  1. Alves, J., Lada, C. J., Lada, E. A., Kenyon, S. J., & Phelps, R. 1998, ApJ, 506, 292 [NASA ADS] [CrossRef] [Google Scholar]
  2. Alves, J. F., Lada, C. J., & Lada, E. A. 2001, Nature, 409, 159 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  3. Alves, J., Lombardi, M., & Lada, C. J. 2014, A&A, 565, A18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Ascenso, J., Lombardi, M., Lada, C. J., & Alves, J. 2012, A&A, 540, A139 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Ascenso, J., Lada, C. J., Alves, J., [Google Scholar]
  6. Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. Beitia-Antero, L., & Gómez de Castro, A. I. 2017, MNRAS, 469, 2531 [NASA ADS] [CrossRef] [Google Scholar]
  8. Benjamin, R. A., Churchwell, E., Babler, B. L., et al. 2003, PASP, 115, 953 [NASA ADS] [CrossRef] [Google Scholar]
  9. Bernstein, R. A., Freedman, W. L., & Madore, B. F. 2002, ApJ, 571, 107 [NASA ADS] [CrossRef] [Google Scholar]
  10. Bok, B. J., & Cordwell, C. S. 1973, in Molecules in the Galactic Environment, eds. M. A. Gordon, & L. E. Snyder, 54 [Google Scholar]
  11. Bonnarel, F., Fernique, P., Bienaymé, O., et al. 2000, A&AS, 143, 33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Bouy, H., Alves, J., Bertin, E., Sarro, L. M., & Barrado, D. 2014, A&A, 564, A29 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Bovy, J., Hogg, D. W., & Roweis, S. T. 2011, Ann. Appl. Stat., 5, 1657 [NASA ADS] [CrossRef] [Google Scholar]
  14. Bradley, J., Dai, Z. R., Erni, R., et al. 2005, Science, 307, 244 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  15. Cambrésy, L. 1999, A&A, 345, 965 [NASA ADS] [Google Scholar]
  16. Cambrésy, L., Beichman, C. A., Jarrett, T. H., & Cutri, R. M. 2002, AJ, 123, 2559 [NASA ADS] [CrossRef] [Google Scholar]
  17. Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245 [NASA ADS] [CrossRef] [Google Scholar]
  18. Chambers, K., & Pan-STARRS Team 2018, AAS Meet., 231, 102.01 [Google Scholar]
  19. Churchwell, E., Babler, B. L., Meade, M. R., et al. 2009, PASP, 121, 213 [NASA ADS] [CrossRef] [Google Scholar]
  20. Clutton-Brock, M. 1967, Technometrics, 9, 261 [CrossRef] [Google Scholar]
  21. Cutri, R. M., Wright, E. L., Conrow, T., et al. 2013, VizieR Online Data Catalog: II/328 [Google Scholar]
  22. Dalton, G. B., Caldwell, M., Ward, A. K., et al. 2006, in Proc. SPIE, 6269, 62690X [Google Scholar]
  23. Dobashi, K., Uehara, H., Kandori, R., et al. 2005, PASJ, 57, S1 [NASA ADS] [CrossRef] [Google Scholar]
  24. Dobashi, K., Bernard, J.-P., Hughes, A., et al. 2008, A&A, 484, 205 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Draine, B. T. 1989, in Infrared Spectroscopy in Astronomy, ed. E. Böhm-Vitense, ESA SP, 290 [Google Scholar]
  26. Draine, B. T. 2003, ARA&A, 41, 241 [NASA ADS] [CrossRef] [Google Scholar]
  27. Draine, B. T., & Lee, H. M. 1984, ApJ, 285, 89 [NASA ADS] [CrossRef] [Google Scholar]
  28. Drass, H., Haas, M., Chini, R., et al. 2016, MNRAS, 461, 1734 [NASA ADS] [CrossRef] [Google Scholar]
  29. Eisenstein, D. J., Weinberg, D. H., Agol, E., et al. 2011, AJ, 142, 72 [NASA ADS] [CrossRef] [Google Scholar]
  30. Emerson, J., McPherson, A., & Sutherland, W. 2006, The Messenger, 126, 41 [NASA ADS] [Google Scholar]
  31. Fazio, G. G., Hora, J. L., Allen, L. E., et al. 2004, ApJS, 154, 10 [NASA ADS] [CrossRef] [Google Scholar]
  32. Fitzpatrick, E. L., & Massa, D. 1986, ApJ, 307, 286 [NASA ADS] [CrossRef] [Google Scholar]
  33. Fitzpatrick, E. L., & Massa, D. 1988, ApJ, 328, 734 [NASA ADS] [CrossRef] [Google Scholar]
  34. Flaherty, K. M., Pipher, J. L., Megeath, S. T., et al. 2007, ApJ, 663, 1069 [NASA ADS] [CrossRef] [Google Scholar]
  35. Flewelling, H. A., Magnier, E. A., Chambers, K. C., et al. 2016, ArXiv e-prints [arXiv:1612.05243] [Google Scholar]
  36. Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [NASA ADS] [CrossRef] [Google Scholar]
  37. Fritz, T. K., Gillessen, S., Dodds-Eden, K., et al. 2011, ApJ, 737, 73 [NASA ADS] [CrossRef] [Google Scholar]
  38. Gosling, A. J., Bandyopadhyay, R. M., & Blundell, K. M. 2009, MNRAS, 394, 2247 [NASA ADS] [CrossRef] [Google Scholar]
  39. Hirashita, H., & Voshchinnikov, N. V. 2014, MNRAS, 437, 1636 [NASA ADS] [CrossRef] [Google Scholar]
  40. Hogg, D. W., Bovy, J., & Lang, D. 2010, ArXiv e-prints [arXiv:1008.4686] [Google Scholar]
  41. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  42. Indebetouw, R., Mathis, J. S., Babler, B. L., et al. 2005, ApJ, 619, 931 [NASA ADS] [CrossRef] [Google Scholar]
  43. Ivezić, Ž., Connelly, A. J., VanderPlas, J. T., & Gray, A. 2014, Statistics, Data Mining, and Machine Learning in Astronomy (Princeton University Press) [Google Scholar]
  44. Jones, E., Oliphant, T., Peterson, P., et al. 2001, SciPy: Open source scientific tools for Python [Google Scholar]
  45. Juvela, M., & Montillaud, J. 2016, A&A, 585, A78 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Kissler-Patig, M., Pirard, J.-F., Casali, M., et al. 2008, A&A, 491, 941 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. Lada, C. J., Lada, E. A., Clemens, D. P., & Bally, J. 1994, ApJ, 429, 694 [NASA ADS] [CrossRef] [Google Scholar]
  48. Lombardi, M. 2009, A&A, 493, 735 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. Lombardi, M.,& Alves, J. 2001, A&A, 377, 1023 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Lombardi, M., Alves, J., & Lada, C. J. 2011, A&A, 535, A16 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Lombardi, M., Bouy, H., Alves, J., & Lada, C. J. 2014a, A&A, 568, C1 [CrossRef] [EDP Sciences] [Google Scholar]
  52. Lombardi, M., Bouy, H., Alves, J., & Lada, C. J. 2014b, A&A, 566, A45 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  53. Lutz, D. 1999,in The Universe as Seen by ISO, eds. P. Cox, & M. Kessler, ESA SP, 427, 623 [NASA ADS] [Google Scholar]
  54. Lutz, D., Feuchtgruber, H., Genzel, R., et al. 1996, A&A, 315, L269 [NASA ADS] [Google Scholar]
  55. Mackay, D. J. C. 2003, Information Theory, Inference and Learning Algorithms (Cambridge University Press), 640 [Google Scholar]
  56. Magnier, E. A., Schlafly, E. F., Finkbeiner, D. P., et al. 2016, ArXiv e-prints [arXiv:1612.05242] [Google Scholar]
  57. Majaess, D., Turner, D., Dékány, I., Minniti, D., & Gieren, W. 2016, A&A, 593, A124 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Majewski, S. R., Zasowski, G., & Nidever, D. L. 2011, ApJ, 739, 25 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  59. Martin, P. G., & Whittet, D. C. B. 1990, ApJ, 357, 113 [NASA ADS] [CrossRef] [Google Scholar]
  60. Mathis, J. S. 1994, ApJ, 422, 176 [NASA ADS] [CrossRef] [Google Scholar]
  61. Megeath, S. T., Gutermuth, R., Muzerolle, J., et al. 2012, AJ, 144, 192 [NASA ADS] [CrossRef] [Google Scholar]
  62. Meingast, S., Alves, J., Mardones, D., et al. 2016, A&A, 587, A153 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Meingast, S., Lombardi, M., & Alves, J. 2017, A&A, 601, A137 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. Menten, K. M., Reid, M. J., Forbrich, J., & Brunthaler, A. 2007, A&A, 474, 515 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  65. Nataf, D. M. 2015, MNRAS, 449, 1171 [NASA ADS] [CrossRef] [Google Scholar]
  66. Nataf, D. M., Gonzalez, O. A., Casagrande, L., et al. 2016, MNRAS, 456, 2692 [NASA ADS] [CrossRef] [Google Scholar]
  67. Nishiyama, S., Nagata, T., Kusakabe, N., et al. 2006, ApJ, 638, 839 [NASA ADS] [CrossRef] [Google Scholar]
  68. Nishiyama, S., Tamura, M., Hatano, H., et al. 2009, ApJ, 696, 1407 [NASA ADS] [CrossRef] [Google Scholar]
  69. Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  70. Rieke, G. H., & Lebofsky, M. J. 1985, ApJ, 288, 618 [NASA ADS] [CrossRef] [Google Scholar]
  71. Rieke, G. H., Young, E. T., Engelbracht, C. W., et al. 2004, ApJS, 154, 25 [NASA ADS] [CrossRef] [Google Scholar]
  72. Rosenthal, D., Bertoldi, F., & Drapatz, S. 2000, A&A, 356, 705 [NASA ADS] [Google Scholar]
  73. Schlafly, E. F., & Finkbeiner, D. P. 2011, ApJ, 737, 103 [NASA ADS] [CrossRef] [Google Scholar]
  74. Schlafly, E. F., Finkbeiner, D. P., Schlegel, D. J., et al. 2010, ApJ, 725, 1175 [NASA ADS] [CrossRef] [Google Scholar]
  75. Schwarz, G. 1978, Ann. Stat., 6, 461 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  76. Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [NASA ADS] [CrossRef] [Google Scholar]
  77. Stead, J. J., & Hoare, M. G. 2009, MNRAS, 400, 731 [NASA ADS] [CrossRef] [Google Scholar]
  78. Stutz, A., Launhardt, R., Linz, H., et al. 2010, A&A, 518, L87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  79. Taylor, M. B. 2005, in Astronomical Data Analysis Software and Systems XIV, eds. P. Shopbell, M. Britton, & R. Ebert, ASP Conf. Ser., 347, 29 [NASA ADS] [Google Scholar]
  80. Vanderplas, J., Connolly, A., Ivezić, Ž., & Gray, A. 2012, in Conference on Intelligent Data Understanding (CIDU), 47 [Google Scholar]
  81. Van Der Walt,S., Colbert, S. C., & Varoquaux, G. 2011, ArXiv e-prints [arXiv:1102.1523] [Google Scholar]
  82. Voshchinnikov, N. V., Henning, T., & Il’in, V. B. 2017, ApJ, 837, 25 [NASA ADS] [CrossRef] [Google Scholar]
  83. Wang, S., & Jiang, B. W. 2014, ApJ, 788, L12 [NASA ADS] [CrossRef] [Google Scholar]
  84. Wang, S., Gao, J., Jiang, B. W., Li, A., & Chen, Y. 2013, ApJ, 773, 30 [NASA ADS] [CrossRef] [Google Scholar]
  85. Wang, S., Li, A., & Jiang, B. W. 2015, ApJ, 811, 38 [NASA ADS] [CrossRef] [Google Scholar]
  86. Weingartner, J. C., & Draine, B. T. 2001, ApJ, 548, 296 [NASA ADS] [CrossRef] [Google Scholar]
  87. Wenger, M., Ochsenbein, F., Egret, D., et al. 2000, A&AS, 143, 9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  88. Werner, M. W., Roellig, T. L., Low, F. J., et al. 2004, ApJS, 154, 1 [NASA ADS] [CrossRef] [Google Scholar]
  89. Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868 [NASA ADS] [CrossRef] [Google Scholar]
  90. Zari, E., Lombardi, M., Alves, J., Lada, C. J., & Bouy, H. 2016, A&A, 587, A106 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  91. Zasowski, G., Majewski, S. R., Indebetouw, R., et al. 2009, ApJ, 707, 510 [NASA ADS] [CrossRef] [Google Scholar]

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