EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 696 (April 2025) A&A, 696 (2025) A37 References
Open Access
Issue
A&A
Volume 696, April 2025
Article Number A37
Number of page(s) 23
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202453262
Published online 01 April 2025
  1. André, P., Di Francesco, J., Ward-Thompson, D., et al. 2014, in Protostars and Planets VI, eds. H. Beuther, R. S. Klessen, C. P. Dullemond, & T. Henning, 27 [Google Scholar]
  2. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  4. Astropy Collaboration (Price-Whelan, A. M., et al.) 2022, ApJ, 935, 167 [NASA ADS] [CrossRef] [Google Scholar]
  5. Balog, Z., Müller, T., Nielbock, M., et al. 2014, Exp. Astron., 37, 129 [Google Scholar]
  6. Bradley, L., Sipőcz, B., Robitaille, T., et al. 2024, https://doi.org/10.5281/zenodo.12585239 [Google Scholar]
  7. Elia, D., Strafella, F., Schneider, N., et al. 2014, ApJ, 788, 3 [Google Scholar]
  8. Federrath, C., & Klessen, R. S. 2012, ApJ, 761, 156 [Google Scholar]
  9. Gatys, L. A., Ecker, A. S., & Bethge, M. 2015, arXiv e-prints [arXiv:1508.06576] [Google Scholar]
  10. Graciá-Carpio, J., Wetzstein, M., Roussel, H., & PACS Instrument Control Centre Team 2017, in Astronomical Society of the Pacific Conference Series, 512, Astronomical Data Analysis Software and Systems XXV, eds. N. P. F. Lorente, K. Shortridge, & R. Wayth, 379 [Google Scholar]
  11. Hacar, A., Tafalla, M., Kauffmann, J., & Kovács, A. 2013, A&A, 554, A55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Hacar, A., Tafalla, M., Forbrich, J., et al. 2018, A&A, 610, A77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Hacar, A., Socci, A., Bonanomi, F., et al. 2024, A&A, 687, A140 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  15. Heiderman, A., Evans, I., Neal J., Allen, L. E., Huard, T., & Heyer, M. 2010, ApJ, 723, 1019 [NASA ADS] [CrossRef] [Google Scholar]
  16. Ioffe, S., & Szegedy, C. 2015, in Proceedings of the 32nd International Conference on International Conference on Machine Learning – Volume 37, ICML’15 (JMLR.org), 448 [Google Scholar]
  17. Isola, P., Zhu, J.-Y., Zhou, T., & Efros, A. A. 2017, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5967 [Google Scholar]
  18. Kingma, D. P., & Ba, J. 2017, arXiv e-prints [arXiv:1412.6980] [Google Scholar]
  19. Kirk, J. M., Ward-Thompson, D., Di Francesco, J., et al. 2024, MNRAS, 532, 4661 [NASA ADS] [CrossRef] [Google Scholar]
  20. Klaas, U., Balog, Z., Nielbock, M., et al. 2018, A&A, 613, A40 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Larson, R. B. 2003, Rep. Progr. Phys., 66, 1651 [CrossRef] [Google Scholar]
  22. Lee, K. I., Fernández-López, M., Storm, S., et al. 2014, ApJ, 797, 76 [Google Scholar]
  23. Liu, G., Reda, F. A., Shih, K. J., et al. 2018, in Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part XI (Springer-Verlag), 89 [Google Scholar]
  24. Long, J., Shelhamer, E., & Darrell, T. 2015, in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3431 [Google Scholar]
  25. Lutz, D. 2015, PACS photometer point spread function, https://www.cosmos.esa.int/documents/12133/996891/PACS+photometer+ point+spread+function [Google Scholar]
  26. Maas, A. L., Hannun, A. Y., & Ng, A. Y. 2013, in Proceedings of the 30th International Conference on Machine Learning (ICML), 30 [Google Scholar]
  27. Mac Low, M.-M., & Klessen, R. S. 2004, Rev. Mod. Phys., 76, 125 [Google Scholar]
  28. Marton, G., Vavrek, R., Kiss, C., & Müller, T. G. 2014, Exp. Astron., 37, 347 [NASA ADS] [Google Scholar]
  29. Marton, G., Gezer, I., Madarász, M., et al. 2024, A&A, 688, A203 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. McKee, C. F., & Ostriker, E. C. 2007, ARA&A, 45, 565 [Google Scholar]
  31. Men’shchikov, A. 2021, A&A, 649, A89 [EDP Sciences] [Google Scholar]
  32. Metha, B., & Berger, S. 2024, arXiv e-prints [arXiv:2407.14068] [Google Scholar]
  33. Molinari, S., Schisano, E., Faustini, F., et al. 2011, A&A, 530, A133 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Nair, V., & Hinton, G. E. 2010, in Proceedings of the 27th International Conference on International Conference on Machine Learning, ICML’10 (Madison, WI, USA: Omnipress), 807 [Google Scholar]
  35. Paszke, A., Gross, S., Massa, F., et al. 2019, in Advances in Neural Information Processing Systems, 8024 [Google Scholar]
  36. Pilbratt, G. L., Riedinger, J. R., Passvogel, T., et al. 2010, A&A, 518, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Poglitsch, A., Waelkens, C., Geis, N., et al. 2010, A&A, 518, L2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Radford, A., Metz, L., & Chintala, S. 2016, arXiv e-prints [arXiv:1511.06434] [Google Scholar]
  39. Riba, E., Mishkin, D., Ponsa, D., Rublee, E., & Bradski, G. 2020, arXiv e-prints [arXiv:1910.02190] [Google Scholar]
  40. Ronneberger, O., Fischer, P., & Brox, T. 2015, in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 (Springer International Publishing), 234 [Google Scholar]
  41. Roy, A., André, P., Arzoumanian, D., et al. 2015, A&A, 584, A111 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. Shu, F. H. 1977, ApJ, 214, 488 [Google Scholar]
  43. Shu, F. H., Adams, F. C., & Lizano, S. 1987, ARA&A, 25, 23 [Google Scholar]
  44. Simonyan, K., & Zisserman, A. 2015, arXiv e-prints [arXiv:1409.1556] [Google Scholar]
  45. Springenberg, J. T., Dosovitskiy, A., Brox, T., & Riedmiller, M. 2015, arXiv e-prints [arXiv:1412.6806] [Google Scholar]
  46. Stutzki, J., Bensch, F., Heithausen, A., Ossenkopf, V., & Zielinsky, M. 1998, A&A, 336, 697 [NASA ADS] [Google Scholar]
  47. Wang, Z., Bovik, A., Sheikh, H., & Simoncelli, E. 2004, IEEE Trans. Image Process., 13, 600 [CrossRef] [Google Scholar]
  48. Xu, B., Wang, N., Chen, T., & Li, M. 2015, arXiv e-prints [arXiv:1505.00853] [Google Scholar]
  49. Zavagno, A., Dupé, F. X., Bensaid, S., et al. 2023, A&A, 669, A120 [NASA ADS] [CrossRef] [EDP Sciences] [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.