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Home All issues Volume 702 (October 2025) A&A, 702 (2025) A87 References
Open Access
Issue
A&A
Volume 702, October 2025
Article Number A87
Number of page(s) 24
Section Interstellar and circumstellar matter
DOI https://doi.org/10.1051/0004-6361/202453640
Published online 09 October 2025
  1. Accolla, M., Congiu, E., Dulieu, F., et al. 2011, Phys. Chem. Chem. Phys. (Incorp. Faraday Trans.), 13, 8037 [Google Scholar]
  2. Altwegg, K., Balsiger, H., Bar-Nun, A., et al. 2016, Sci. Adv., 2, e1600285 [NASA ADS] [CrossRef] [Google Scholar]
  3. Bisschop, S. E., Fuchs, G. W., Boogert, A. C. A., van Dishoeck, E. F., & Linnartz, H. 2007, A&A, 470, 749 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Boogert, A. C. A., Schutte, W. A., Helmich, F. P., Tielens, A. G. G. M., & Wooden, D. H. 1997, A&A, 317, 929 [NASA ADS] [Google Scholar]
  5. Boogert, A. C. A., Blake, G. A., & Tielens, A. G. G. M. 2002, ApJ, 577, 271 [NASA ADS] [CrossRef] [Google Scholar]
  6. Boogert, A. C. A., Huard, T. L., Cook, A. M., et al. 2011, ApJ, 729, 92 [NASA ADS] [CrossRef] [Google Scholar]
  7. Boogert, A. C. A., Chiar, J. E., Knez, C., et al. 2013, ApJ, 777, 73 [NASA ADS] [CrossRef] [Google Scholar]
  8. Boogert, A. A., Gerakines, P. A., & Whittet, D. C. 2015, Annu. Rev. Astron. Astrophys., 53, 541 [CrossRef] [Google Scholar]
  9. Bouilloud, M., Fray, N., Bénilan, Y., et al. 2015, MNRAS, 451, 2145 [Google Scholar]
  10. Breiman, L. 1996, Mach. Learn., 24, 123 [Google Scholar]
  11. Brunken, N. G. C., Rocha, W. R. M., van Dishoeck, E. F., et al. 2024, A&A, 685, A27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Carnall, A. C. 2017, arxiv e-prints [arXiv:1705.05165] [Google Scholar]
  13. Caselli, P., Benson, P. J., Myers, P. C., & Tafalla, M. 2002, ApJ, 572, 238 [Google Scholar]
  14. Cawley, G. C., & Talbot, N. L. C. 2010, J. Mach. Learn. Res., 11, 2079 [Google Scholar]
  15. Cohen, U., Chung, S., Lee, D. D., & Sompolinsky, H. 2020, Nat. Commun., 11, 746 [Google Scholar]
  16. Dartois, E., Noble, J. A., Ysard, N., Demyk, K., & Chabot, M. 2022, A&A, 666, A153 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Dartois, E., Noble, J. A., Caselli, P., et al. 2024, Nat. Astron., 8, 359 [NASA ADS] [CrossRef] [Google Scholar]
  18. Dominik, C., Min, M., & Tazaki, R. 2021, OpTool: Command-line driven tool for creating complex dust opacities, Astrophysics Source Code Library [record ascl:2104.010] [Google Scholar]
  19. Draine, B. T. 2004, in Origin and Evolution of the Elements, eds. A. McWilliam, & M. Rauch, 317 [Google Scholar]
  20. Draine, B. T., & Li, A. 2007, ApJ, 657, 810 [CrossRef] [Google Scholar]
  21. Dulieu, F., Amiaud, L., Congiu, E., et al. 2010, A&A, 512, A30 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Fraser, H. J., & van Dishoeck, E. F. 2004, Adv. Space Res., 33, 14 [Google Scholar]
  23. Fukushima, K. 1975, Biol. Cybernet., 20, 121 [CrossRef] [Google Scholar]
  24. Geballe, T. R., Baas, F., Greenberg, J. M., & Schutte, W. 1985, A&A, 146, L6 [NASA ADS] [Google Scholar]
  25. Gerakines, P. A., Schutte, W. A., Greenberg, J. M., & van Dishoeck, E. F. 1995, A&A, 296, 810 [NASA ADS] [Google Scholar]
  26. Gillett, F. C., & Forrest, W. J. 1973, ApJ, 179, 483 [NASA ADS] [CrossRef] [Google Scholar]
  27. Goodfellow, I., Bengio, Y., & Courville, A. 2016, Deep Learning (MIT Press) [Google Scholar]
  28. Goto, M., Vasyunin, A. I., Giuliano, B. M., et al. 2021, A&A, 651, A53 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Grosan, C., & Abraham, A. 2011, Artificial Neural Networks (Berlin, Heidelberg: Springer Berlin Heidelberg), 281 [Google Scholar]
  30. He, K., Zhang, X., Ren, S., & Sun, J. 2016, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1 [Google Scholar]
  31. Herbst, E., & Garrod, R. T. 2022, Front. Astron. Space Sci., 8, 209 [Google Scholar]
  32. Hudgins, D. M., Sandford, S. A., Allamandola, L. J., & Tielens, A. G. G. M. 1993, ApJS, 86, 713 [NASA ADS] [CrossRef] [Google Scholar]
  33. Ioffe, S., & Szegedy, C. 2015, in Proceedings of Machine Learning Research, 37, Proceedings of the 32nd International Conference on Machine Learning, eds. F. Bach & D. Blei (Lille, France: PMLR), 448 [Google Scholar]
  34. Keane, J. V., Tielens, A. G. G. M., Boogert, A. C. A., Schutte, W. A., & Whittet, D. C. B. 2001, A&A, 376, 254 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Kingma, D. P., & Ba, J. 2014, arXiv e-prints [arXiv:1412.6980] [Google Scholar]
  36. Krizhevsky, A., Sutskever, I., & Hinton, G. E. 2012, in Advances in Neural Information Processing Systems, 25, eds. F. Pereira, C. Burges, L. Bottou, & K. Weinberger (Curran Associates, Inc.) [Google Scholar]
  37. Kruczkiewicz, F., Vitorino, J., Congiu, E., Theulé, P., & Dulieu, F. 2021, A&A, 652, A29 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Kruczkiewicz, F., Dulieu, F., Ivlev, A. V., et al. 2024, A&A, 686, A236 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  39. Lacy, J. H., Baas, F., Allamandola, L. J., et al. 1984, ApJ, 276, 533 [NASA ADS] [CrossRef] [Google Scholar]
  40. Larochelle, H., Bengio, Y., Louradour, J., & Lamblin, P. 2009, J. Mach. Learn. Res., 10, 1 [Google Scholar]
  41. LeCun, Y., Bengio, Y., & Hinton, G. 2015, Nature, 521, 436 [Google Scholar]
  42. LeCun, Y., Bottou, L., Orr, G. B., & Müller, K. R. 1998, Efficient BackProp, eds. G. B. Orr, & K.-R. Müller (Berlin, Heidelberg: Springer Berlin Heidelberg), 9 [Google Scholar]
  43. McClure, M. K., Rocha, W. R. M., Pontoppidan, K. M., et al. 2023, Nat. Astron., 7, 431 [NASA ADS] [CrossRef] [Google Scholar]
  44. Megías, A., Jiménez-Serra, I., Martín-Pintado, J., et al. 2023, MNRAS, 519, 1601 [Google Scholar]
  45. Murtagh, F. 1991, Neurocomputing, 2, 183 [CrossRef] [Google Scholar]
  46. Nair, V., & Hinton, G. E. 2010, in ICML 2010, 807 [Google Scholar]
  47. Noble, J. A., Fraser, H. J., Aikawa, Y., Pontoppidan, K. M., & Sakon, I. 2013, ApJ, 775, 85 [Google Scholar]
  48. Noble, J. A., Michoulier, E., Aupetit, C., & Mascetti, J. 2020, A&A, 644, A22 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. Noble, J. A., Fraser, H. J., Smith, Z. L., et al. 2024, Nat. Astron., 8, 1169 [NASA ADS] [CrossRef] [Google Scholar]
  50. Öberg, K. I., Fraser, H. J., Boogert, A. C. A., et al. 2007, A&A, 462, 1187 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Olah, C., Schubert, L., & Mordvintsev, A. 2017, Distill, https://distill.pub/2017/feature-visualization/ [Google Scholar]
  52. Palumbo, M. E., Geballe, T. R., & Tielens, A. G. G. M. 1997, ApJ, 479, 839 [NASA ADS] [CrossRef] [Google Scholar]
  53. Petersen, M. L., Molinaro, A. M., Sinisi, S. E., & van der Laan, M. J. 2007, J. Multivariate Anal., 98, 1693 [Google Scholar]
  54. Pontoppidan, K. M., Fraser, H. J., Dartois, E., et al. 2003, A&A, 408, 981 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  55. Possolo, A., Merkatas, C., & Bodnar, O. 2019, Metrologia, 56, 045009 [CrossRef] [Google Scholar]
  56. Qasim, D., Fedoseev, G., Chuang, K. J., et al. 2020, Nat. Astron., 4, 781 [Google Scholar]
  57. Redaelli, E., Bizzocchi, L., Caselli, P., & Pineda, J. E. 2023, A&A, 674, L8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Rocha, W., & Pilling, S. 2014, Spectrochim. Acta A: Mol. Biomol. Spectrosc., 123, 436 [CrossRef] [Google Scholar]
  59. Rocha, W. R. M., Perotti, G., Kristensen, L. E., & Jørgensen, J. K. 2021, A&A, 654, A158 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Rocha, W. R. M., Rachid, M. G., Olsthoorn, B., et al. 2022, A&A, 668, A63 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Rocha, W. R. M., van Dishoeck, E. F., Ressler, M. E., et al. 2024, A&A, 683, A124 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  62. Rosenblatt, M., Tejavibulya, L., Jiang, R., Noble, S., & Scheinost, D. 2024, Nat. Commun., 15, 1829 [Google Scholar]
  63. Rumelhart, D. E., Hinton, G. E., & Williams, R. J. 1986, Nature, 323, 533 [Google Scholar]
  64. Sagi, O., & Rokach, L. 2018, WIREs Data Mining Knowl. Discov., 8, e1249 [Google Scholar]
  65. Sandford, S. A., & Allamandola, L. J. 1993, ApJ, 417, 815 [CrossRef] [Google Scholar]
  66. Schutte, W. A., Tielens, A. G. G. M., Whittet, D. C. B., et al. 1996, A&A, 315, L333 [NASA ADS] [Google Scholar]
  67. Schutte, W. A., Boogert, A. C. A., Tielens, A. G. G. M., et al. 1999, A&A, 343, 966 [NASA ADS] [Google Scholar]
  68. Simon, A., Öberg, K. I., Rajappan, M., & Maksiutenko, P. 2019, ApJ, 883, 21 [NASA ADS] [CrossRef] [Google Scholar]
  69. Simonyan, K., & Zisserman, A. 2014, arXiv e-prints, [arXiv:1409.1556] [Google Scholar]
  70. Smith, Z. L., Dickinson, H. J., Fraser, H. J., et al. 2025, Nat. Astron., 9, 883 [Google Scholar]
  71. Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. 2014, J. Mach. Learn. Res., 15, 1929 [Google Scholar]
  72. Taban, I. M., Schutte, W. A., Pontoppidan, K. M., & van Dishoeck, E. F. 2003, A&A, 399, 169 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  73. van Broekhuizen, F. A., Pontoppidan, K. M., Fraser, H. J., & van Dishoeck, E. F. 2005, A&A, 441, 249 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. van Broekhuizen, F. A., Groot, I. M. N., Fraser, H. J., van Dishoeck, E. F., & Schlemmer, S. 2006, A&A, 451, 723 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  75. van Dishoeck, E. F., Jonkheid, B., & van Hemert, M. C. 2006, Faraday Discuss., 133, 231 [Google Scholar]
  76. Vitorino, J., Loison, J. C., Wakelam, V., Congiu, E., & Dulieu, F. 2024, MNRAS, 533, 52 [NASA ADS] [CrossRef] [Google Scholar]
  77. Watanabe, N., & Kouchi, A. 2002, ApJ, 571, L173 [Google Scholar]
  78. Whittet, D. C. B., Adamson, A. J., Duley, W. W., Geballe, T. R., & McFadzean, A. D. 1989, MNRAS, 241, 707 [Google Scholar]
  79. Yang, Y.-L., Green, J. D., Pontoppidan, K. M., et al. 2022, ApJ, 941, L13 [NASA ADS] [CrossRef] [Google Scholar]

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