8 papers
Tracing Galaxy Bias Through the Cosmic Web: The Role of Filaments
Constanza A. Soto-Suárez, Antonio D. Montero-Dorta, Daniela Galárraga-Espinosa +4
The large-scale clustering of galaxies depends not only on their internal properties but also on their location within the cosmic web, which defines the anisotropic environments wh…
Predicting galaxy bias using machine learning
Catalina Riveros-Jara, Antonio D. Montero-Dorta, Natália V. N. Rodrigues +6
Understanding how galaxies trace the underlying matter density field is essential for characterizing the influence of the large-scale structure on galaxy formation, being therefore…
The Galaxy Bias Profile of Cosmic Voids:A Comparison of Void Finders
Ignacio G. Alfaro, Antonio D. Montero-Dorta, Jorge F. Bustillos +6
Cosmic voids, the largest underdense regions in the Universe, provide unique laboratories for studying galaxy formation and constitute powerful probes of cosmology. Recent work has…
The galaxy bias profile of cosmic voids
Antonio D. Montero-Dorta, Andrés Balaguera-Antolínez, Ignacio G. Alfaro +7
Cosmic voids are underdense regions within the large-scale structure of the Universe, spanning a wide range of physical scales - from a few megaparsecs (Mpc) to the largest observa…
Individual halo bias in models of gravity
Jorge Enrique García-Farieta, Antonio D. Montero-Dorta, Andrés Balaguera-Antolínez
Halo bias links the statistical properties of the spatial distribution of dark matter halos to those of the underlying dark matter field, providing insights into clustering propert…
Fast simulation mapping: from standard to modified gravity cosmologies using the bias assignment method
Jorge Enrique García-Farieta, Andrés Balaguera-Antolínez, Francisco-Shu Kitaura
We assess the effectiveness of a non-parametric bias model in generating mock halo catalogues for modified gravity (MG) cosmologies, relying on the distribution of dark matter from…