EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 649 (May 2021) A&A, 649 (2021) A89 References
Open Access
Issue
A&A
Volume 649, May 2021
Article Number A89
Number of page(s) 37
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202039913
Published online 21 May 2021
  1. Abràmoff, M. D., Magalhães, P. J., & Ram, S. J. 2004, Biophoton. Internatl., 11, 36 [Google Scholar]
  2. Acero, F., Katsuda, S., Ballet, J., & Petre, R. 2017, A&A, 597, A106 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. André, P., Men’shchikov, A., Bontemps, S., et al. 2010, A&A, 518, L102 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. André, P., Revéret, V., Könyves, V., et al. 2016, A&A, 592, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Aniano, G., Draine, B. T., Gordon, K. D., & Sandstrom, K. 2011, PASP, 123, 1218 [NASA ADS] [CrossRef] [Google Scholar]
  6. Arzoumanian, D., André, P., Didelon, P., et al. 2011, A&A, 529, L6 [CrossRef] [EDP Sciences] [Google Scholar]
  7. Arzoumanian, D., André, P., Könyves, V., et al. 2019, A&A, 621, A42 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  8. Berry, D. S. 2015, Astron. Comput., 10, 22 [NASA ADS] [CrossRef] [Google Scholar]
  9. Bertin, E., Mellier, Y., Radovich, M., et al. 2002, in Astronomical Data Analysis Software and Systems XI, eds. D. A. Bohlender, D. Durand,&T. H. Handley, ASP Conf. Ser., 281, 228 [Google Scholar]
  10. Black, J. H. 1994, in The First Symposium on the Infrared Cirrus and Diffuse Interstellar Clouds, eds. R. M. Cutri, & W. B. Latter, ASP Conf. Ser., 58, 355 [Google Scholar]
  11. Bouwman, J. 2001, PhD thesis, University of Amsterdam, The Netherlands [Google Scholar]
  12. Clark, S. E., Peek, J. E. G., & Putman, M. E. 2014, ApJ, 789, 82 [Google Scholar]
  13. Evans, N. I., Jr, Dunham, M. M., Jørgensen, J. K., et al. 2009, ApJS, 181, 321 [NASA ADS] [CrossRef] [Google Scholar]
  14. Fesen, R. A., Weil, K. E., Cisneros, I. A., Blair, W. P., & Raymond, J. C. 2018, MNRAS, 481, 1786 [Google Scholar]
  15. Hacar, A., Tafalla, M., Forbrich, J., et al. 2018, A&A, 610, A77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Hennemann, M., Motte, F., Schneider, N., et al. 2012, A&A, 543, L3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Hilditch, C. J. 1969, in Machine Intelligence, eds. B. Meltzer, & D. Michie, 4, 403 [Google Scholar]
  18. Joye, W. A., & Mandel, E. 2003, in Astronomical Data Analysis Software and Systems XII, eds. H. E. Payne, R. I. Jedrzejewski, & R. N. Hook, ASP Conf. Ser., 295, 489 [NASA ADS] [Google Scholar]
  19. Juvela, M. 2016, A&A, 593, A58 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Kirk, J. M., Ward-Thompson, D., Palmeirim, P., et al. 2013, MNRAS, 432, 1424 [NASA ADS] [CrossRef] [Google Scholar]
  21. Kirk, H., Hatchell, J., Johnstone, D., et al. 2018, ApJS, 238, 8 [CrossRef] [Google Scholar]
  22. Koch, E. W., & Rosolowsky, E. W. 2015, MNRAS, 452, 3435 [NASA ADS] [CrossRef] [Google Scholar]
  23. Könyves, V., André, P., Men’shchikov, A., et al. 2015, A&A, 584, A91 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Ladjelate, B., André, P., Könyves, V., et al. 2020, A&A, 638, A74 [CrossRef] [EDP Sciences] [Google Scholar]
  25. Lane, J., Kirk, H., Johnstone, D., et al. 2016, ApJ, 833, 44 [NASA ADS] [CrossRef] [Google Scholar]
  26. Lee, J. C., de Gil Paz, A., Kennicutt, R. C., Jr., et al. 2011, ApJS, 192, 6 [NASA ADS] [CrossRef] [Google Scholar]
  27. Li, S., Sanhueza, P., Zhang, Q., et al. 2020, ApJ, 903, 119 [Google Scholar]
  28. Mack, J., Levay, Z. G., Christian, C. A., et al. 2015, Hubble Heritage Project [Google Scholar]
  29. McMullin, J. P., Waters, B., Schiebel, D., Young, W., & Golap, K. 2007, in Astronomical Data Analysis Software and Systems XVI, eds. R. A. Shaw, F. Hill, & D. J. Bell, ASP Conf. Ser., 376, 127 [Google Scholar]
  30. Men’shchikov, A. 2013, A&A, 560, A63 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Men’shchikov, A. 2016, A&A, 593, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Men’shchikov, A. 2017, A&A, 607, A64 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Men’shchikov, A. 2021, A&A, submitted [Google Scholar]
  34. Men’shchikov, A., André, P., Didelon, P., et al. 2010, A&A, 518, L103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Men’shchikov, A., André, P., Didelon, P., et al. 2012, A&A, 542, A81 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Mink, D. J. 2002, in Astronomical Data Analysis Software and Systems XI, eds. D. A. Bohlender, D. Durand, & T. H. Handley, ASP Conf. Ser., 281, 169 [Google Scholar]
  37. Molinari, S., Schisano, E., Faustini, F., et al. 2011, A&A, 530, A133 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Motte, F., André, P., & Neri, R. 1998, A&A, 336, 150 [Google Scholar]
  39. Motte, F., André, P., Ward-Thompson, D., & Bontemps, S. 2001, A&A, 372, L41 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Motte, F., Zavagno, A., Bontemps, S., et al. 2010, A&A, 518, L77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Motte, F., Nony, T., Louvet, F., et al. 2018, Nat. Astron., 2, 478 [NASA ADS] [CrossRef] [Google Scholar]
  42. Nony, T., Motte, F., Louvet, F., et al. 2020, A&A, 636, A38 [CrossRef] [EDP Sciences] [Google Scholar]
  43. Ntormousi, E., & Hennebelle, P. 2019, A&A, 625, A82 [EDP Sciences] [Google Scholar]
  44. Ossenkopf, V., & Henning, T. 1994, A&A, 291, 943 [NASA ADS] [Google Scholar]
  45. Palmeirim, P., André, P., Kirk, J., et al. 2013, A&A, 550, A38 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Parravano, A., Hollenbach, D. J., & McKee, C. F. 2003, ApJ, 584, 797 [NASA ADS] [CrossRef] [Google Scholar]
  47. Pence, W. 1999, in Astronomical Data Analysis Software and Systems VIII, eds. D. M. Mehringer, R. L. Plante, & D. A. Roberts, ASP Conf. Ser., 172, 487 [Google Scholar]
  48. Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. 1992, Numerical recipes in FORTRAN. The art of scientific computing, 2nd edn. (Cambridge: Cambridge University Press) [Google Scholar]
  49. Ramsey, J. P., Clarke, D. A., & Men’shchikov, A. B. 2012, ApJS, 199, 13 [NASA ADS] [CrossRef] [Google Scholar]
  50. Rosolowsky, E. W., Pineda, J. E., Kauffmann, J., & Goodman, A. A. 2008, ApJ, 679, 1338 [NASA ADS] [CrossRef] [Google Scholar]
  51. Sanhueza, P., Contreras, Y., Wu, B., et al. 2019, ApJ, 886, 102 [NASA ADS] [CrossRef] [Google Scholar]
  52. Schisano, E., Rygl, K. L. J., Molinari, S., et al. 2014, ApJ, 791, 27 [NASA ADS] [CrossRef] [Google Scholar]
  53. Shimajiri, Y., André, P., Ntormousi, E., et al. 2019, A&A, 632, A83 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Smith, A. R. 1979, SIGGRAPH’79: Proc. of the 6th Annual Conference on Computer Graphics and Interactive Techniques (New York: ACM), 276 [Google Scholar]
  55. Sousbie, T. 2011, MNRAS, 414, 350 [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.