Federico Speranza
Now, my PhD project is about galaxy formation and evolution, in particular building a bayesian framework to study galaxy scaling relations.
4 January 2020
Project title: A Bayesian parameter estimation framework to study galaxy formation and evolution across the Universe
Research Group: Astrophysics
Supervisor(s): Prof Amelie Saintonge
Introduction:
I completed my undergraduate at the University of Milan in Particle and Astroparticle physics. I mostly developed my master thesis between Fermi National Accelerator Laboratory near Chicago and CERN in Geneva within the ICARUS collaboration, which aims to detect neutrino oscillations into a sterile state. After that, I spent some time working in industry for Deloitte as a data analyst to be back to research again although in a different field. Now, my PhD project is about galaxy formation and evolution, in particular building a bayesian framework to study galaxy scaling relations.
Project description:
My Phd project is about building a Bayesian parameter estimation framework to extend the study of galaxy scaling relations into poorly sampled regions of parameter spaces. Applications include correction mass and luminosity functions for incompleteness, and studying the redshift evolution of gas abundance in galaxies.
First year group project: JBC
Placement: