collaborators

9 papers

astro-ph200864 cited

Evaluating and Improving Semi-analytic modelling of Dust in Galaxies based on Radiative Transfer Calculations

Fabio Fontanot, Rachel S. Somerville, Laura Silva +2

The treatment of dust attenuation is crucial in order to compare the predictions of galaxy formation models with multiwavelength observations. Most past studies have either used si…

astro-ph2008180 cited

The Correlation of Star Formation Quenching with Internal Galaxy Properties and Environment

Taysun Kimm, Rachel S. Somerville, Sukyoung K. Yi +8

We investigate the correlation of star formation quenching with internal galaxy properties and large scale environment (halo mass) in empirical data and theoretical models. We make…

astro-ph200715 cited

Tracing the gas at redshift 1.7-3.5 with the Lyman-alpha forest: the FLO approach

F. Saitta, V. D'Odorico, M. Bruscoli +3

[Abridged] We present FLO (From Lines to Over-densities), a new technique to reconstruct the hydrogen density field for the Lya forest lines observed in high resolution QSO spectra…

astro-ph2006

Constraining feedback in galaxy formation: using galaxy and AGN surveys to shed light on "gastrophysics"

Pierluigi Monaco

We present some results of the new MORGANA model for the rise of galaxies and active nuclei, and show that the improved physical motivation of the description of star formation and…

astro-ph2006245 cited

The MORGANA model for the rise of galaxies and active nuclei

Pierluigi Monaco, Fabio Fontanot, Giuliano Taffoni

We present the MOdel for the Rise of GAlaxies aNd Active nuclei (MORGANA). Starting from the merger trees of dark matter halos and a model for the evolution of substructure within…

astro-ph2006108 cited

Diffuse stellar component in galaxy clusters and the evolution of the most massive galaxies at z<~1

Pierluigi Monaco, Giuseppe Murante, Stefano Borgani +1

The high end of the stellar mass function of galaxies is observed to have little evolution since z~1. This represents a stringent constraint for merger--based models, aimed at expl…