|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
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 |
|
|
Villanueva-Domingo, P.; Gariazzo, S.; Gnedin, N.Y.; Mena, O. |
Was there an early reionization component in our universe? |
2018 |
Journal of Cosmology and Astroparticle Physics |
04 |
024 - 17pp |
|
|
Lopez-Honorez, L.; Mena, O.; Palomares-Ruiz, S.; Villanueva-Domingo, P. |
Warm dark matter and the ionization history of the Universe |
2017 |
Physical Review D |
96 |
103539 - 14pp |
|
|
Villanueva-Domingo, P.; Gnedin, N.Y.; Mena, O. |
Warm Dark Matter and Cosmic Reionization |
2018 |
Astrophysical Journal |
852 |
139 - 7pp |
|
|
Lopez-Honorez, L.; Mena, O.; Palomares-Ruiz, S.; Villanueva-Domingo, P.; Witte, S.J. |
Variations in fundamental constants at the cosmic dawn |
2020 |
Journal of Cosmology and Astroparticle Physics |
06 |
026 - 25pp |
|
|
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 |
|
|
Villanueva-Domingo, P.; Villaescusa-Navarro, F. |
Removing Astrophysics in 21 cm Maps with Neural Networks |
2021 |
Astrophysical Journal |
907 |
44 - 14pp |
|
|
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 |
|