Rodrigues, Natália V. N.; de Santi, Natalí S. M.; Abramo, Raul; Montero-Dorta, Antonio D. (2025) Exploring the halo-galaxy connection with probabilistic approaches. Astronomy & Astrophysics, 698. doi:10.1051/0004-6361/202453284
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Exploring the halo-galaxy connection with probabilistic approaches | ||
| Journal | Astronomy & Astrophysics | ||
| Authors | Rodrigues, Natália V. N. | Author | |
| de Santi, Natalí S. M. | Author | ||
| Abramo, Raul | Author | ||
| Montero-Dorta, Antonio D. | Author | ||
| Year | 2025 (June) | Volume | 698 |
| Publisher | EDP Sciences | ||
| DOI | doi:10.1051/0004-6361/202453284Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 18465324 | Long-form Identifier | mindat:1:5:18465324:9 |
| GUID | 0 | ||
| Full Reference | Rodrigues, Natália V. N.; de Santi, Natalí S. M.; Abramo, Raul; Montero-Dorta, Antonio D. (2025) Exploring the halo-galaxy connection with probabilistic approaches. Astronomy & Astrophysics, 698. doi:10.1051/0004-6361/202453284 | ||
| Plain Text | Rodrigues, Natália V. N.; de Santi, Natalí S. M.; Abramo, Raul; Montero-Dorta, Antonio D. (2025) Exploring the halo-galaxy connection with probabilistic approaches. Astronomy & Astrophysics, 698. doi:10.1051/0004-6361/202453284 | ||
| In | (2025) Astronomy and Astrophysics Vol. 698. EDP Sciences | ||
References Listed
These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.
| Abadi M., Agarwal A., Barham P., et al. 2015, TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, https://www.tensorflow.org | |
| Akiba T., Sano S., Yanase T., Ohta T., & Koyama M. 2019, ArXiv e-prints [arXiv:1907.10902] | |
| Arjovsky M., Chintala S., & Bottou L. 2017, ArXiv e-prints [arXiv:1701.07875] | |
| Not Yet Imported: Monthly Notices of the Royal Astronomical Society - journal-article : 10.1093/mnras/sty2110 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Bergstra J., Bardenet R., Bengio Y., & Kégl B. 2011, in Advances in Neural Information Processing Systems, eds. Shawe-Taylor J., Zemel R., Bartlett P., Pereira F., & Weinberger K. (Curran Associates, Inc.), 24 | |
| Bingham (2019) J. Mach. Learn. Res. 20, 28:1 | |
| Bishop C. 1994, Mixture Density Networks, Workingpaper, Aston University, USA | |
| Not Yet Imported: Monthly Notices of the Royal Astronomical Society - journal-article : 10.1093/mnras/stz2546 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Branco (2017) Proc. Mach. Learn. Res. 74, 36 | |
![]() | |
| Buser (1978) A&A 62, 411 | |
![]() | |
| Coccaro (2024) Symmetry 16, 942 | |
![]() | |
![]() | |
| Dinh L., Krueger D., & Bengio Y. 2014, ArXiv e-prints [arXiv:1410.8516] | |
| Dinh L., Sohl-Dickstein J., & Bengio S. 2016, ArXiv e-prints [arXiv:1605.08803] | |
| Dolatabadi H. M., Erfani S., & Leckie C. 2020, ArXiv e-prints [arXiv:2001.05168] | |
| Durkan C., Bekasov A., Murray I., & Papamakarios G. 2019, ArXiv e-prints [arXiv:1906.04032] | |
![]() | |
![]() | |
| Flamary (2021) J. Mach. Learn. Res. 22, 1 | |
![]() | Gebhardt, Matthew, Anglés-Alcázar, Daniel, Borrow, Josh, Genel, Shy, Villaescusa-Navarro, Francisco, Ni, Yueying, Lovell, Christopher C, Nagai, Daisuke, Davé, Romeel, Marinacci, Federico, Vogelsberger, Mark, Hernquist, Lars (2024) Cosmological baryon spread and impact on matter clustering in CAMELS. Monthly Notices of the Royal Astronomical Society, 529 (4) 4896-4913 doi:10.1093/mnras/stae817 |
| Not Yet Imported: - journal-article : 10.1093/mnras/stu1654 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | Genel, Shy, Bryan, Greg L., Springel, Volker, Hernquist, Lars, Nelson, Dylan, Pillepich, Annalisa, Weinberger, Rainer, Pakmor, Rüdiger, Marinacci, Federico, Vogelsberger, Mark (2019) A Quantification of the Butterfly Effect in Cosmological Simulations and Implications for Galaxy Scaling Relations. The Astrophysical Journal, 871 (1). 21pp. doi:10.3847/1538-4357/aaf4bb |
| Gu M., Conroy C., Diemer B., et al. 2020, ArXiv e-prints [arXiv:2010.04166] | |
![]() | |
![]() | |
![]() | |
| Not Yet Imported: - monograph : 10.23943/princeton/9780691151687.001.0001 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
| Jo (2019) MNRAS 489, 3565 | |
| Kingma D. P., & Ba J. 2014, ArXiv e-prints [arXiv:1412.6980] | |
| Kingma D. P., Salimans T., Jozefowicz R., et al. 2016, ArXiv e-prints [arXiv:1606.04934] | |
| Kunz N. 2019, SMOGN, https://github.com/nickkunz/smogn | |
| Lemos P., Coogan A., Hezaveh Y., & Perreault-Levasseur L. 2023, ArXiv e-prints [arXiv:2302.03026] | |
| Not Yet Imported: Astronomy and Computing - journal-article : 10.1016/j.ascom.2021.100510 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | Lovell, Christopher C, Wilkins, Stephen M, Thomas, Peter A, Schaller, Matthieu, Baugh, Carlton M, Fabbian, Giulio, Bahé, Yannick (2021) A machine learning approach to mapping baryons on to dark matter haloes using the |
| Lovell C. C., Hassan S., Villaescusa-Navarro F., et al. 2023, Machine Learning for Astrophysics, 21 | |
| Marinacci (2018) MNRAS 480, 5113 | |
![]() | |
![]() | Montero-Dorta, Antonio D, Artale, M Celeste, Abramo, L Raul, Tucci, Beatriz, Padilla, Nelson, Sato-Polito, Gabriela, Lacerna, Ivan, Rodriguez, Facundo, Angulo, Raul E (2020) The manifestation of secondary bias on the galaxy population from IllustrisTNG300. Monthly Notices of the Royal Astronomical Society, 496 (2) 1182-1196 doi:10.1093/mnras/staa1624 |
![]() | |
![]() | |
| Not Yet Imported: Monthly Notices of the Royal Astronomical Society - journal-article : 10.1093/mnras/sty618 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
| Not Yet Imported: Monthly Notices of the Royal Astronomical Society - journal-article : 10.1093/mnras/stx3040 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: - journal-article : 10.1186/s40668-019-0028-x If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
![]() | |
| Papamakarios (2021) J. Mach. Learn. Res. 22, 1 | |
![]() | |
| Not Yet Imported: - journal-article : 10.1093/mnras/stx3112 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
| Not Yet Imported: Monthly Notices of the Royal Astronomical Society - journal-article : 10.1093/mnras/stx2656 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
| Ramdas A., Garcia N., & Cuturi M. 2015, ArXiv e-prints [arXiv:1509.02237] | |
![]() | |
| Not Yet Imported: The Astrophysical Journal - journal-article : 10.3847/1538-4357/ab8464 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
| Not Yet Imported: - journal-article : 10.1093/mnras/stx3304 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
| Taillon G. 2018, 2DKS, https://github.com/Gabinou/2DKS | |
| Talts S., Betancourt M., Simpson D., Vehtari A., & Gelman A. 2020, ArXiv e-prints [arXiv:1804.06788] | |
![]() | Villaescusa-Navarro, Francisco, Anglés-Alcázar, Daniel, Genel, Shy, Spergel, David N., S. Somerville, Rachel, Dave, Romeel, Pillepich, Annalisa, Hernquist, Lars, Nelson, Dylan, Torrey, Paul, Narayanan, Desika, Li, Yin, Philcox, Oliver, La Torre, Valentina, Maria Delgado, Ana, Ho, Shirley, Hassan, Sultan, Burkhart, Blakesley, Wadekar, Digvijay, Battaglia, Nicholas, Contardo, Gabriella, Bryan, Greg L. (2021) The CAMELS Project: Cosmology and Astrophysics with Machine-learning Simulations. The Astrophysical Journal, 915 (1) 71pp. doi:10.3847/1538-4357/abf7ba |
![]() | Virtanen, Pauli, , , Gommers, Ralf, Oliphant, Travis E., Haberland, Matt, Reddy, Tyler, Cournapeau, David, Burovski, Evgeni, Peterson, Pearu, Weckesser, Warren, Bright, Jonathan, van der Walt, Stéfan J., Brett, Matthew, Wilson, Joshua, Millman, K. Jarrod, Mayorov, Nikolay, Nelson, Andrew R. J., Jones, Eric, Kern, Robert, Larson, Eric, Carey, C J, Polat, İlhan, Feng, Yu, Moore, Eric W., VanderPlas, Jake, Laxalde, Denis, Perktold, Josef, Cimrman, Robert, Henriksen, Ian, Quintero, E. A., Harris, Charles R., Archibald, Anne M., Ribeiro, Antônio H., Pedregosa, Fabian, van Mulbregt, Paul (2020) SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods, 17 (3). 261-272 doi:10.1038/s41592-019-0686-2 |
| Not Yet Imported: - journal-article : 10.1093/mnras/stu1536 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
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![]() | |
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