EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 628 (August 2019) A&A, 628 (2019) A78 References
Open Access
Issue
A&A
Volume 628, August 2019
Article Number A78
Number of page(s) 35
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/201935519
Published online 08 August 2019
  1. Akaike, H. 1973, in Proceedings of the 2nd International Symposium on Information Theory, eds. B. N. Petrov, & F. Csaki, 267 [Google Scholar]
  2. Andrae, R., Schulze-Hartung, T., & Melchior, P. 2010, ArXiv e-prints [arXiv:1012.3754] [Google Scholar]
  3. Arzoumanian, D., André, P., Peretto, N., & Könyves, V. 2013, A&A, 553, A119 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Arzoumanian, D., Shimajiri, Y., Inutsuka, S.-I., Inoue, T., & Tachihara, K. 2018, PASJ, 70, 96 [NASA ADS] [CrossRef] [Google Scholar]
  5. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Banks, H. T., & Joyner, M. L. 2017, Appl. Math. Lett., 74, 33 [CrossRef] [Google Scholar]
  7. Barnes, P. J., Muller, E., Indermuehle, B., et al. 2015, ApJ, 812, 6 [NASA ADS] [CrossRef] [Google Scholar]
  8. Beuther, H., Bihr, S., Rugel, M., et al. 2016, A&A, 595, A32 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Burkhart, B., Stanimirović, S., Lazarian, A., & Kowal, G. 2010, ApJ, 708, 1204 [NASA ADS] [CrossRef] [Google Scholar]
  10. Burnham, K. P., & Anderson, D. R. 1998, Model Selection and Inference: A Practical Information-Theoretic Approach (Springer-Verlag), 80 [CrossRef] [Google Scholar]
  11. Chen, H. H.-H., Pineda, J. E., Goodman, A. A., et al. 2019, ApJ, 877, 93 [NASA ADS] [CrossRef] [Google Scholar]
  12. Clarke, S. D., Whitworth, A. P., Spowage, R. L., et al. 2018, MNRAS, 479, 1722 [NASA ADS] [CrossRef] [Google Scholar]
  13. Colombo, D., Rosolowsky, E., Duarte-Cabral, A., et al. 2019, MNRAS, 483, 4291 [NASA ADS] [CrossRef] [Google Scholar]
  14. Dame, T. M. 2011, ArXiv e-prints [arXiv:1101.1499] [Google Scholar]
  15. Dame, T. M., Hartmann, D., & Thaddeus, P. 2001, ApJ, 547, 792 [NASA ADS] [CrossRef] [Google Scholar]
  16. Dempsey, J. T., Thomas, H. S., & Currie, M. J. 2013, ApJS, 209, 8 [NASA ADS] [CrossRef] [Google Scholar]
  17. Dénes, H., McClure-Griffiths, N. M., Dickey, J. M., Dawson, J. R., & Murray, C. E. 2018, MNRAS, 479, 1465 [NASA ADS] [CrossRef] [Google Scholar]
  18. D’Agostino, R. B. 1971, Biometrika, 58, 341 [CrossRef] [Google Scholar]
  19. D’Agostino, R. B., & Pearson, E. S. 1973, Biometrika, 60, 613 [Google Scholar]
  20. Elmegreen, B. G., & Scalo, J. 2004, ARA&A, 42, 211 [NASA ADS] [CrossRef] [Google Scholar]
  21. Ewen, H. I., & Purcell, E. M. 1951, Nature, 168, 356 [NASA ADS] [CrossRef] [Google Scholar]
  22. Falgarone, E., Pety, J., & Hily-Blant, P. 2009, A&A, 507, 355 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Ginsburg, A., & Mirocha, J. 2011, Astrophysics Source Code Library [record ascl:1109.001] [Google Scholar]
  24. Hacar, A., Tafalla, M., Kauffmann, J., & Kovács, A. 2013, A&A, 554, A55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Hacar, A., Alves, J., Burkert, A., & Goldsmith, P. 2016, A&A, 591, A104 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Haud, U. 2000, A&A, 364, 83 [NASA ADS] [Google Scholar]
  27. Heiles, C., & Troland, T. H. 2003, ApJ, 586, 1067 [NASA ADS] [CrossRef] [Google Scholar]
  28. Hennebelle, P., & Falgarone, E. 2012, A&ARv, 20, 55 [NASA ADS] [CrossRef] [Google Scholar]
  29. Henshaw, J. D., Caselli, P., Fontani, F., Jiménez-Serra, I., & Tan, J. C. 2014, MNRAS, 440, 2860 [NASA ADS] [CrossRef] [Google Scholar]
  30. Henshaw, J. D., Longmore, S. N., Kruijssen, J. M. D., et al. 2016, MNRAS, 457, 2675 [NASA ADS] [CrossRef] [Google Scholar]
  31. Henshaw, J. D., Ginsburg, A., Haworth, T. J., et al. 2019, MNRAS, 485, 2457 [NASA ADS] [CrossRef] [Google Scholar]
  32. Heyer, M. H., & Brunt, C. M. 2004, ApJ, 615, L45 [NASA ADS] [CrossRef] [Google Scholar]
  33. Hily-Blant, P., & Falgarone, E. 2009, A&A, 500, L29 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  35. Hurvich, C. M., & Tsai, C. L. 1989, Biometrika, 76, 297 [CrossRef] [MathSciNet] [Google Scholar]
  36. Jackson, J. M., Rathborne, J. M., Shah, R. Y., et al. 2006, ApJS, 163, 145 [NASA ADS] [CrossRef] [Google Scholar]
  37. Jones, E., Oliphant, T., Peterson, P., et al. 2001, SciPy: Open Source Scientific Tools for Python [Google Scholar]
  38. Keto, E., Caselli, P., & Rawlings, J. 2015, MNRAS, 446, 3731 [NASA ADS] [CrossRef] [Google Scholar]
  39. Kolmogorov, A. N. 1933, Giornale dell’Instituto Italiano degli Attuari, 4, 83 [Google Scholar]
  40. Larson, R. B. 1981, MNRAS, 194, 809 [NASA ADS] [CrossRef] [Google Scholar]
  41. Lindner, R. R., Vera-Ciro, C., Murray, C. E., et al. 2015, AJ, 149, 138 [NASA ADS] [CrossRef] [Google Scholar]
  42. Marchal, A., Miville-Deschenes, M.-A., Orieux, F., et al. 2019, A&A, 626, A101 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Miville-Deschênes, M.-A., Murray, N., & Lee, E. J. 2017, ApJ, 834, 57 [NASA ADS] [CrossRef] [Google Scholar]
  44. Murray, C. E., Stanimirović, S., Goss, W. M., et al. 2015, ApJ, 804, 89 [NASA ADS] [CrossRef] [Google Scholar]
  45. Murray, C. E., Stanimirović, S., Goss, W. M., et al. 2018, ApJS, 238, 14 [NASA ADS] [CrossRef] [Google Scholar]
  46. Nakanishi, H., & Sofue, Y. 2006, PASJ, 58, 847 [NASA ADS] [Google Scholar]
  47. Orkisz, J. H., Pety, J., Gerin, M., et al. 2017, A&A, 599, A99 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Orkisz, J. H., Peretto, N., Pety, J., et al. 2019, A&A, 624, A113 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. Ossenkopf, V., & Mac Low, M.-M. 2002, A&A, 390, 307 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Pineda, J. L., Goldsmith, P. F., Chapman, N., et al. 2010, ApJ, 721, 686 [NASA ADS] [CrossRef] [Google Scholar]
  51. Rathborne, J. M., Johnson, A. M., Jackson, J. M., Shah, R. Y., & Simon, R. 2009, ApJS, 182, 131 [NASA ADS] [CrossRef] [Google Scholar]
  52. Rigby, A. J., Moore, T. J. T., Plume, R., et al. 2016, MNRAS, 456, 2885 [NASA ADS] [CrossRef] [Google Scholar]
  53. Robitaille, T., & Bressert, E. 2012, Astrophysics Source Code Library [record ascl:1208.017] [Google Scholar]
  54. Roman-Duval, J., Jackson, J. M., Heyer, M., Rathborne, J., & Simon, R. 2010, ApJ, 723, 492 [NASA ADS] [CrossRef] [Google Scholar]
  55. Schuller, F., Csengeri, T., Urquhart, J. S., et al. 2017, A&A, 601, A124 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Smirnov, N. V. 1939, Bull. Moscow Univ., 2, 3 (Russian) [Google Scholar]
  57. Stil, J. M., Taylor, A. R., Dickey, J. M., et al. 2006, AJ, 132, 1158 [NASA ADS] [CrossRef] [Google Scholar]
  58. Su, Y., Yang, J., Zhang, S., et al. 2019, ApJS, 240, 9 [NASA ADS] [CrossRef] [Google Scholar]
  59. Umemoto, T., Minamidani, T., Kuno, N., et al. 2017, PASJ, 69, 78 [NASA ADS] [CrossRef] [Google Scholar]
  60. Van der Walt, S., Colbert, C., & Varoquaux, G. 2011, The NumPy Array: A Structure for Efficient Numerical Computation (IEEE), 13, 22 [Google Scholar]
  61. Wilson, R. W., Jefferts, K. B., & Penzias, A. A. 1970, ApJ, 161, L43 [NASA ADS] [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.