| Author |
Title |
Year |
Publication |
Volume |
Pages |
| 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 |
| Villanueva-Domingo, P.; Villaescusa-Navarro, F.; Genel, S.; Angles-Alcazar, D.; Hernquist, L.; Marinacci, F.; Spergel, D.N.; Vogelsberger, M.; Narayanan, D. |
Weighing the Milky Way and Andromeda galaxies with artificial intelligence |
2023 |
Physical Review D |
107 |
103003 - 8pp |
| Witte, S.; Villanueva-Domingo, P.; Gariazzo, S.; Mena, O.; Palomares-Ruiz, S. |
EDGES result versus CMB and low-redshift constraints on ionization histories |
2018 |
Physical Review D |
97 |
103533 - 8pp |
| Villanueva-Domingo, P.; Mena, O.; Miralda-Escude, J. |
Maximum amplitude of the high-redshift 21-cm absorption feature |
2020 |
Physical Review D |
101 |
083502 - 8pp |
| 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 |
