Publications (11)
An Eddington ratio-driven origin for the relation in quiescent and star forming active galaxies
Rosamaria Carraro, Francesco Shankar, Viola Allevato +5
A mild correlation exists in active galaxies between the mean black hole accretion, as traced by the mean X-ray luminosity , and the host galaxy stell…
Probing black hole accretion tracks, scaling relations and radiative efficiencies from stacked X-ray active galactic nuclei
Francesco Shankar, David H. Weinberg, Christopher Marsden +25
The masses of supermassive black holes at the centres of local galaxies appear to be tightly correlated with the mass and velocity dispersions of their galactic hosts. However, the…
The weak dependence of velocity dispersion on disk fractions, mass-to-light ratio and redshift: Implications for galaxy and black hole evolution
Christopher Marsden, Francesco Shankar, Mariangela Bernardi +3
Velocity dispersion () is a key driver for galaxy structure and evolution. We here present a comprehensive semi-empirical approach to compute via detailed Jeans modelling…
Building robust AGN mock catalogs to unveil black hole evolution and for survey planning
Viola Allevato, Francesco Shankar, Christopher Marsden +5
The statistical distributions of active galactic nuclei (AGN), i.e. accreting supermassive black holes (BHs), in mass, space and time, are controlled by a series of key properties,…
Using Unreal Engine to Visualize a Cosmological Volume
Christopher Marsden, Francesco Shankar
In this work we present `Astera', a cosmological visualization tool that renders a mock universe in real time using Unreal Engine 4. The large scale structure of the cosmic web is…
Testing the key role of the stellar mass-halo mass relation in galaxy merger rates and morphologies via DECODE, a novel Discrete statistical sEmi-empiriCal mODEl
Hao Fu, Francesco Shankar, Mohammadreza Ayromlou +19
The relative roles of mergers and star formation in regulating galaxy growth are still a matter of intense debate. We here present our DECODE, a new Discrete statistical sEmi-empir…