| |
Author |
Title |
Year |
Publication |
Volume  |
Pages |
Links |
|
|
Villanueva-Domingo, P.; Villaescusa-Navarro, F.; Angles-Alcazar, D.; Genel, S.; Marinacci, F.; Spergel, D.N.; Hernquist, L.; Vogelsberger, M.; Dave, R.; Narayanan, D. |
Inferring Halo Masses with Graph Neural Networks |
2022 |
Astrophysical Journal |
935 |
30 - 15pp |
|
|
|
Villanueva-Domingo, P.; Villaescusa-Navarro, F. |
Removing Astrophysics in 21 cm Maps with Neural Networks |
2021 |
Astrophysical Journal |
907 |
44 - 14pp |
|
|
|
Villaescusa-Navarro, F.; Vogelsberger, M.; Viel, M.; Loeb, A. |
Neutrino signatures on the high-transmission regions of the Lyman alpha forest |
2013 |
Monthly Notices of the Royal Astronomical Society |
431 |
3670-3677 |
|
|
|
Villaescusa-Navarro, F. et al; Villanueva-Domingo, P. |
The CAMELS Project: Public Data Release |
2023 |
Astrophysical Journal Supplement Series |
265 |
54 - 14pp |
|
|
|
Villaescusa-Navarro, F. et al; Villanueva-Domingo, P. |
The CAMELS Multifield Data Set: Learning the Universe's Fundamental Parameters with Artificial Intelligence |
2022 |
Astrophysical Journal Supplement Series |
259 |
61 - 14pp |
|
