Zobrazeno 1 - 10
of 328
pro vyhledávání: '"Abramo, L."'
Autor:
Hernández-Monteagudo, C., Aricò, G., Chaves-Montero, J., Abramo, L. R., Arnalte-Mur, P., Hernán-Caballero, A., López-Sanjuan, C., Marra, V., von Marttens, R., Tempel, E., Cenarro, J., Cristóbal-Hornillos, D., Marín-Franch, A., Moles, M., Varela, J., Ramió, H. Vázquez, Alcaniz, J., Dupke, R., Ederoclite, A., Sodré Jr., L., Angulo, R. E.
Observational and/or astrophysical systematics modulating the observed number of luminous tracers can constitute a major limitation in the cosmological exploitation of surveys of the large scale structure of the universe. Part of this limitation aris
Externí odkaz:
http://arxiv.org/abs/2412.14827
Autor:
Hernández-Monteagudo, C., Balaguera-Antolínez, A., von Marttens, R., del Pino, A., Hernán-Caballero, A., Abramo, L. R., Chaves-Montero, J., López-Sanjuan, C., Marra, V., Tempel, E., Aricò, G., Cenarro, J., Cristóbal-Hornillos, D., Marín-Franch, A., Moles, M., Varela, J., Ramió, H. Vázquez, Alcaniz, J., Dupke, R., Ederoclite, A., Sodré Jr., L., Angulo, R. E.
The {\it Javalambre Photometric Local Universe Survey} (J-PLUS) is a {\it spectro-photometric} survey covering about 3,000~deg$^2$ in its third data release (DR3), and containing about 300,000 galaxies with high quality ({\it odds}$>0.8$) photometric
Externí odkaz:
http://arxiv.org/abs/2412.14826
Autor:
Ferri, João, Tashiro, Ian L., Abramo, L. Raul, Matos, Isabela, Quartin, Miguel, Sturani, Riccardo
Observations of gravitational waves (GWs) from dark sirens allow us to infer their locations and distances. Galaxies, on the other hand, have precise angular positions but no direct measurement of their distances -- only redshifts. The cross-correlat
Externí odkaz:
http://arxiv.org/abs/2412.00202
The connection between galaxies and dark matter halos encompasses a range of processes and play a pivotal role in our understanding of galaxy formation and evolution. Traditionally, this link has been established through physical or empirical models.
Externí odkaz:
http://arxiv.org/abs/2410.17844
Autor:
de Santi, Natalí S. M., Villaescusa-Navarro, Francisco, Abramo, L. Raul, Shao, Helen, Perez, Lucia A., Castro, Tiago, Ni, Yueying, Lovell, Christopher C., Hernandez-Martinez, Elena, Marinacci, Federico, Spergel, David N., Dolag, Klaus, Hernquist, Lars, Vogelsberger, Mark
It has been recently shown that a powerful way to constrain cosmological parameters from galaxy redshift surveys is to train graph neural networks to perform field-level likelihood-free inference without imposing cuts on scale. In particular, de Sant
Externí odkaz:
http://arxiv.org/abs/2310.15234
Autor:
Pérez-Ràfols, Ignasi, Abramo, L. Raul, Martínez-Solaeche, Ginés, Pieri, Matthew M., Queiroz, Carolina, Rodrigues, Natália V. N., Bonoli, Silvia, Chaves-Montero, Jonás, Morrison, Sean S., Alcaniz, Jailson, Benitez, Narciso, Carneiro, Saulo, Cenarro, Javier, Cristóbal-Hornillos, David, Dupke, Renato, Ederoclite, Alessandro, Delgado, Rosa M. González, Hernán-Caballero, Antonio, López-Sanjuan, Carlos, Marín-Franch, Antonio, Marra, Valerio, de Oliveira, Claudia Mendes, Moles, Mariano, Sodré Jr., Laerte, Taylor, Keith, Varela, Jesús, Ramió, Héctor Vázquez
Publikováno v:
A&A 678, A144 (2023)
We present a list of quasar candidates including photometric redshift estimates from the miniJPAS Data Release constructed using SQUEzE. This work is based on machine-learning classification of photometric data of quasar candidates using SQUEzE. It h
Externí odkaz:
http://arxiv.org/abs/2309.00461
Autor:
Bom, C. R., Cortesi, A., Ribeiro, U., Dias, L. O., Kelkar, K., Castelli, A. V. Smith, Santana-Silva, L., Silva, V., Gonçalves, T. S., Abramo, L. R., Lima, E. V. R., Almeida-Fernandes, F., Espinosa, L., Li, L., Buzzo, M. L., de Oliveira, C. Mendes, Sodré Jr., L., Alvarez-Candal, A., Grossi, M., Telles, E., Torres-Flores, S., Werner, S. V., Kanaan, A., Ribeiro, T., Schoenell, W.
The morphological diversity of galaxies is a relevant probe of galaxy evolution and cosmological structure formation. However, in large sky surveys, even the morphological classification of galaxies into two classes, like late-type (LT) and early-typ
Externí odkaz:
http://arxiv.org/abs/2306.08684
Autor:
Martínez-Solaeche, G., Queiroz, Carolina, Delgado, R. M. González, Rodrigues, Natália V. N., García-Benito, R., Pérez-Ràfols, Ignasi, Abramo, L. Raul, Díaz-García, Luis, Pieri, Matthew M., Chaves-Montero, Jonás, Hernán-Caballero, A., Rodríguez-Martín, J. E., Bonoli, Silvia, Morrison, Sean S., Márquez, Isabel, Vílchez, J. M., López-Sanjuan, C., Cenarro, A. J., Dupke, R. A., Martín-Franch, A., Varel, J., Ramió, H. Vázquez, Cristóbal-Hornillos, D., Moles, M., Alcaniz, J., Benitez, N., Fernández-Ontiveros, J. A., Ederoclite, A., Marra, V., de Oliveira, C. Mendes, Taylor, K.
Publikováno v:
A&A 673, A103 (2023)
This paper is part of large effort within the J-PAS collaboration that aims to classify point-like sources in miniJPAS, which were observed in 60 optical bands over $\sim$ 1 deg$^2$ in the AEGIS field. We developed two algorithms based on artificial
Externí odkaz:
http://arxiv.org/abs/2303.12684
Autor:
Rodrigues, Natália V. N., Abramo, L. Raul, Queiroz, Carolina, Martínez-Solaeche, Ginés, Pérez-Ràfols, Ignasi, Bonoli, Silvia, Chaves-Montero, Jonás, Pieri, Matthew M., Delgado, Rosa M. González, Morrison, Sean S., Marra, Valerio, Márquez, Isabel, Hernán-Caballero, A., Díaz-García, L. A., Benítez, Narciso, Cenarro, A. Javier, Dupke, Renato A., Ederoclite, Alessandro, López-Sanjuan, Carlos, Marín-Franch, Antonio, de Oliveira, Claudia Mendes, Moles, Mariano, Sodré Jr., Laerte, Varela, Jesús, Ramió, Héctor Vázquez, Taylor, Keith
Publikováno v:
Monthly Notices of the Royal Astronomical Society, 2023, 520, 3494-3509
Astrophysical surveys rely heavily on the classification of sources as stars, galaxies or quasars from multi-band photometry. Surveys in narrow-band filters allow for greater discriminatory power, but the variety of different types and redshifts of t
Externí odkaz:
http://arxiv.org/abs/2303.00489
Autor:
de Santi, Natalí S. M., Shao, Helen, Villaescusa-Navarro, Francisco, Abramo, L. Raul, Teyssier, Romain, Villanueva-Domingo, Pablo, Ni, Yueying, Anglés-Alcázar, Daniel, Genel, Shy, Hernandez-Martinez, Elena, Steinwandel, Ulrich P., Lovell, Christopher C., Dolag, Klaus, Castro, Tiago, Vogelsberger, Mark
Publikováno v:
Volume 952, Number 1, Year 2023, Pages 69
We train graph neural networks to perform field-level likelihood-free inference using galaxy catalogs from state-of-the-art hydrodynamic simulations of the CAMELS project. Our models are rotational, translational, and permutation invariant and do not
Externí odkaz:
http://arxiv.org/abs/2302.14101