Open Access
Issue
A&A
Volume 706, February 2026
Article Number A172
Number of page(s) 15
Section Interstellar and circumstellar matter
DOI https://doi.org/10.1051/0004-6361/202557925
Published online 12 February 2026
  1. Al-Halabi, A., & Van Dishoeck, E. F., 2007, MNRAS, 382, 1648 [NASA ADS] [CrossRef] [Google Scholar]
  2. Amiaud, L., Fillion, J. H., Baouche, S., et al. 2006, JChPh, 124 [Google Scholar]
  3. Angeli, D., 2009, Eur. J. Control, 15, 398 [Google Scholar]
  4. Ásgeirsson, V., Jónsson, H., & Wikfeldt, K. T., 2017, JPCC, 121, 1648 [Google Scholar]
  5. Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P., 2009, ARA&A, 47, 481 [CrossRef] [Google Scholar]
  6. Bishara, A. J., & Hittner, J. B., 2012, Psychol. Methods, 17, 399 [CrossRef] [Google Scholar]
  7. Bliss, C. I., 1967, Statistics in Biology. Statistical Methods for Research in the Natural Sciences (McGraw-Hill Book Company), xiv+558 [Google Scholar]
  8. Borshcheva, K., Fedoseev, G., Punanova, A. F., et al. 2025, ApJ, 990, 163 [Google Scholar]
  9. Bovolenta, G. M., Vogt-Geisse, S., Bovino, S., & Grassi, T., 2022, ApJS, 262, 17 [NASA ADS] [CrossRef] [Google Scholar]
  10. Brown, P. N., Byrne, G. D., & Hindmarsh, A. C., 1989, SIAM J. Sci. Statist. Comput., 10, 1038 [Google Scholar]
  11. Byrne, A. N., Xue, C., Van Voorhis, T., & McGuire, B. A., 2024, PCCP, 26, 26734 [Google Scholar]
  12. Chang, Q., Cuppen, H. M., & Herbst, E., 2007, A&A, 469, 973 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Cuppen, H. M., & Garrod, R. T., 2011, A&A, 529, A151 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Cuppen, H. M., & Herbst, E., 2007, ApJ, 668, 294–309 [NASA ADS] [Google Scholar]
  15. Cuppen, H. M., Walsh, C., Lamberts, T., et al. 2017, Space Sci. Rev., 212, 1 [Google Scholar]
  16. Curtiss, L. A., Redfern, P. C., Smith, B. J., & Radom, L., 1996, JChPh, 104, 5148 [Google Scholar]
  17. Dobrijevic, M., Hébrard, E., Plessis, S., et al. 2010, Adv. Space Res., 45, 77 [NASA ADS] [CrossRef] [Google Scholar]
  18. Efron, B., & Tibshirani, R., 1994, An Introduction to the Bootstrap (Chapman and Hall/CRC) [Google Scholar]
  19. Enrique-Romero, J., & Lamberts, T., 2024, JPCL, 15, 7799 [Google Scholar]
  20. Enrique-Romero, J., & Lamberts, T., 2025, A&A, 699, A235 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Enrique-Romero, J., Rimola, A., Ceccarelli, C., et al. 2022, ApJS, 259, 39 [NASA ADS] [CrossRef] [Google Scholar]
  22. Fedoseev, G., Cuppen, H. M., Ioppolo, S., Lamberts, T., & Linnartz, H., 2015, MNRAS, 448, 1288 [NASA ADS] [CrossRef] [Google Scholar]
  23. Fedoseev, G., Chuang, K.-J., Ioppolo, S., et al. 2017, ApJ, 842, 52 [NASA ADS] [CrossRef] [Google Scholar]
  24. Ferrero, S., Zamirri, L., Ceccarelli, C., et al. 2020, ApJ, 904, 11 [NASA ADS] [CrossRef] [Google Scholar]
  25. Ferrero, S., Pantaleone, S., Ceccarelli, C., et al. 2023, ApJ, 944, 142 [NASA ADS] [CrossRef] [Google Scholar]
  26. Fredon, A., Lamberts, T., & Cuppen, H. M., 2017, ApJ, 849, 125 [NASA ADS] [CrossRef] [Google Scholar]
  27. Fredon, A., Radchenko, A. K., & Cuppen, H. M., 2021, AcChR, 54, 745 [Google Scholar]
  28. Furuya, K., 2024, ApJ, 974, 115 [NASA ADS] [CrossRef] [Google Scholar]
  29. Furuya, K., Hama, T., Oba, Y., et al. 2022a, ApJ, 933, L16 [CrossRef] [Google Scholar]
  30. Furuya, K., Oba, Y., & Shimonishi, T. 2022b, ApJ, 926, 171 [NASA ADS] [CrossRef] [Google Scholar]
  31. Garrod, R. T., 2013, ApJ, 765, 60 [Google Scholar]
  32. Garrod, R. T., & Pauly, T., 2011, ApJ, 735, 15 [Google Scholar]
  33. Garrod, R. T., Belloche, A., Müller, H. S. P., & Menten, K. M., 2017, A&A, 601, A48 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Ghesquière, P., Mineva, T., Talbi, D., et al. 2015, PCCP, 17, 11455 [Google Scholar]
  35. Gould, R. J., 1963, PhD thesis, Cornell University [Google Scholar]
  36. Grassi, T., Bovino, S., Caselli, P., et al. 2020, A&A, 643, A155 [EDP Sciences] [Google Scholar]
  37. Hama, T., Kuwahata, K., Watanabe, N., et al. 2012, ApJ, 757, 185 [NASA ADS] [CrossRef] [Google Scholar]
  38. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  39. Hasegawa, T. I., Herbst, E., & Leukng, C. M., 1992, ApJS, 82, 167 [NASA ADS] [CrossRef] [Google Scholar]
  40. He, J., Acharyya, K., & Vidali, G., 2016, ApJ, 825, 89 [Google Scholar]
  41. Heyl, J., Holdship, J., & Viti, S., 2022, ApJ, 931, 26 [NASA ADS] [CrossRef] [Google Scholar]
  42. Hincelin, U., Chang, Q., & Herbst, E., 2015, A&A, 574, A24 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Holdship, J., Viti, S., Jiménez-Serra, I., Makrymallis, A., & Priestley, F., 2017, ApJ, 154, 38 [CrossRef] [Google Scholar]
  44. Holdship, J., Jeffrey, N., Makrymallis, A., Viti, S., & Yates, J., 2018, ApJ, 866, 116 [NASA ADS] [CrossRef] [Google Scholar]
  45. Hunter, J. D., 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  46. Ioppolo, S., Fedoseev, G., Chuang, K.-J., et al. 2020, Nat. Astron., 5, 197 [NASA ADS] [CrossRef] [Google Scholar]
  47. Iqbal, W., Wakelam, V., & Gratier, P., 2018, A&A, 620, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Jenkins, E. B., 2009, ApJ, 700, 1299 [Google Scholar]
  49. Jin, M., & Garrod, R. T., 2020, ApJS, 249, 26 [Google Scholar]
  50. Johnson III, R. D., 2022, NIST Computational Chemistry Comparison and Benchmark Database [Google Scholar]
  51. Kalvāns, J., Kalniņa, A., & Veitners, K., 2024, A&A, 687, A296 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  52. Karssemeijer, L. J., Ioppolo, S., van Hemert, M. C., et al. 2013, ApJ, 781, 16 [Google Scholar]
  53. Kimura, H., Mann, I., & Jessberger, E. K., 2003, ApJ, 582, 846 [CrossRef] [Google Scholar]
  54. Kouchi, A., Furuya, K., Hama, T., et al. 2020, ApJ, 891, L22 [NASA ADS] [CrossRef] [Google Scholar]
  55. Kuntz, P. J., Mitchell, G. F., & Ginsburg, J., 1976, ApJ, 209, 116 [Google Scholar]
  56. Lamberts, T., Fedoseev, G., Kästner, J., Ioppolo, S., & Linnartz, H., 2017, A&A, 599, A132 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Lamberts, T., Markmeyer, M. N., Kolb, F. J., & Kästner, J., 2019, ACS Earth Space Chem., 3, 958 [Google Scholar]
  58. Le Petit, F., Ruaud, M., Bron, E., et al. 2016, A&A, 585, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Ligterink, N. F. W., & Minissale, M., 2023, A&A, 676, A80 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Ligterink, N. F. W., Walsh, C., Cuppen, H. M., et al. 2025, PCCP, 27, 19630 [Google Scholar]
  61. Löfgren, P., Ahlström, P., Lausma, J., Kasemo, B., & Chakarov, D., 2002, Langmuir, 19, 265 [Google Scholar]
  62. May, R. A., Smith, R. S., & Kay, B. D., 2012, J. Phys. Chem. Lett., 3, 327 [Google Scholar]
  63. Millar, T. J., Walsh, C., Van de Sande, M., & Markwick, A. J., 2024, A&A, 682, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. Minissale, M., Dulieu, F., Cazaux, S., & Hocuk, S., 2015, A&A, 585, A24 [Google Scholar]
  65. Minissale, M., Aikawa, Y., Bergin, E., et al. 2022, ACS ESC, 6, 597 [Google Scholar]
  66. Molpeceres, G., Zaverkin, V., Furuya, K., Aikawa, Y., & Kästner, J., 2023, A&A, 673, A51 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  67. Molpeceres, G., Furuya, K., & Aikawa, Y., 2024, A&A, 688, A150 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  68. Morata, O., & Hasegawa, T. I., 2013, MNRAS, 429, 3578 [Google Scholar]
  69. Müller, H. S., Schlöder, F., Stutzki, J., & Winnewisser, G., 2005, JMoSt, 742, 215 [Google Scholar]
  70. Neese, F., 2025, WIREs Computat. Mol. Sci., 15, e70019 [Google Scholar]
  71. O’Boyle, N. M., Banck, M., James, C. A., et al. 2011, J. Cheminformatics, 3, 33 [CrossRef] [Google Scholar]
  72. Padovani, M., Ivlev, A. V., Galli, D., & Caselli, P., 2018, A&A, 614, A111 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  73. Pantaleone, S., Enrique-Romero, J., Ceccarelli, C., et al. 2020, ApJ, 897, 56 [NASA ADS] [CrossRef] [Google Scholar]
  74. Penteado, E. M., Walsh, C., & Cuppen, H. M., 2017, ApJ, 844, 71 [Google Scholar]
  75. Pezzella, M., Unke, O. T., & Meuwly, M., 2018, J. Phys. Chem. L., 9, 1822 [Google Scholar]
  76. Quénard, D., Jiménez-Serra, I., Viti, S., Holdship, J., & Coutens, A., 2018, MNRAS, 474, 2796 [Google Scholar]
  77. Riedel, W., Sipilä, O., Redaelli, E., et al. 2023, A&A, 680, A87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  78. Ruaud, M., Wakelam, V., & Hersant, F., 2016, MNRAS, 459, 3756 [Google Scholar]
  79. Ruscic, B., & Bross, D., 2025, Active Thermochemical Tables (ATcT) values based on ver. 1.220 of the Thermochemical Network [Google Scholar]
  80. Saltelli, A., Aleksankina, K., Becker, W., et al. 2019, EnvMS, 114, 29 [Google Scholar]
  81. Senevirathne, B., Andersson, S., Dulieu, F., & Nyman, G., 2017, MolAs, 6, 59 [Google Scholar]
  82. Sil, M., Roy, A., Gorai, P., et al. 2024, A&A, 690, A252 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  83. Simons, M. A. J., Lamberts, T., & Cuppen, H. M., 2020, A&A, 634, A52 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  84. Sobol’, I., 1967, USSR Computat. Math. Math. Phys., 7, 86 [CrossRef] [Google Scholar]
  85. Spearman, C., 1904, AmJPsy, 15, 72 [Google Scholar]
  86. The pandas development team 2020, pandas-dev/pandas: Pandas [Google Scholar]
  87. Tielens, A. G. G. M., & Allamandola, L. J., 1987, Composition, Structure, and Chemistry of Interstellar Dust (Springer Netherlands), 397 [Google Scholar]
  88. Vasyunin, A. I., Semenov, D., Henning, T., et al. 2008, ApJ, 672, 629 [Google Scholar]
  89. Vermariën, G., Viti, S., Heyl, J., & Fontani, F., 2025, A&A, 699, A18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  90. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, NatMe, 17, 261 [NASA ADS] [Google Scholar]
  91. Wakelam, V., Herbst, E., & Selsis, F., 2006, A&A, 451, 551 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  92. Wakelam, V., Herbst, E., Le Bourlot, J., et al. 2010, A&A, 517, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  93. Wakelam, V., Loison, J.-C., Mereau, R., & Ruaud, M., 2017, MolAs, 6, 22 [NASA ADS] [Google Scholar]
  94. Wakelam, V., Gratier, P., Loison, J.-C., et al. 2024, A&A, 689, A63 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  95. Yoshikawa, N., & Hutchison, G. R., 2019, J. Cheminformatics, 11, 49 [Google Scholar]
  96. Zaverkin, V., Molpeceres, G., & Kästner, J., 2021, MNRAS, 510, 3063 [Google Scholar]
  97. Zheng, J., & Truhlar, D. G., 2010, PCCP, 12, 7782 [Google Scholar]

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