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Research project

Big Data applications for Black hole Evolution STudies

Staff

Lead researchers

Professor Francesco Shankar

Professor of Astrophysics
Research interests
  • Super-massive Black Hole Demography and Evolution
  • Galaxy Evolution: Spheroids and Bulges, Environment, High-redshift galaxies
  • Radio and Broad Absorption Line Active Galactic Nuclei
Connect with Francesco

Email: [email protected]

Research outputs

Dissecting the origin of obscuration in AGN via comprehensive semi-analytic and semi-empirical orientation and evolutionary models
Alba Vega Alonso Tetilla, 2025
Type: thesis
Semi-empirical models of X-ray AGN in galaxy clusters
2025
Type: thesis