From the 1 of 23 linked papers with an AI index.
11 papers · 1 filter
How galaxies acquire their stellar mass at high redshift: High star formation efficiencies and the relative roles of dust and initial mass function
Hao Fu, Francesco Shankar, Fabio Fontanot +9
JWST has measured an unprecedented abundance of galaxies above , whose formation and evolution are still difficult to reconcile within traditional galaxy evolution mo…
Impact of initial mass function on the chemical evolution of high-redshift galaxies
Boyuan Liu, Michela Mapelli, Volker Bromm +10
Recent observations by the James Webb Space Telescope (JWST) have found evidence for an invariant relation between stellar mass, metallicity, and star formation rate up to $z\sim 8…
The role of black hole feedback on galaxy star formation and the degeneracy with halo quenching
Hao Fu, Francesco Shankar, Feng Yuan +9
The interplay between the accretion of supermassive black holes (SMBHs) and the stellar mass growth of the host galaxies is still a matter of hot debate. The accretion of the SMBHs…
Characterizing the roles of transitory obscured phases and inner torus in shaping the fractions of obscured AGN at cosmic noon
Alba V. Alonso-Tetilla, Francesco Shankar, Fabio Fontanot +11
The origin of obscuration in Active Galactic Nuclei (AGN) is still a matter of contention. It is unclear whether obscured AGN are primarily due to line-of-sight effects, a transito…
Probing the co-evolution of SMBHs and their hosts from scaling relations pairwise residuals: dominance of stellar velocity dispersion and host halo mass
Francesco Shankar, Mariangela Bernardi, Daniel Roberts +17
The correlations between Supermassive Black Holes (SMBHs) and their host galaxies still defy our understanding from both the observational and theoretical perspectives. Here we per…
StAGE: Stellar Archaeology-driven Galaxy Evolution
Michele Bosi, Andrea Lapi, Lumen Boco +10
We build a semi-empirical framework of galaxy evolution (dubbed StAGE) firmly grounded on stellar archaeology. The latter provides data-driven prescriptions that, on a population s…