Cosmological simulations
Marco Baldi (University of Bologna)
In these lectures I will provide a general overview about the techniques and the possible applications of Cosmological Simulations of the Dark Sector of the Universe. In particular, the first two lectures will cover standard numerical methods for the simulation of structure formation in an expanding universe, while the last two lectures will focus more in detail on extended algorithms to investigate Dark Energy, Modified Gravity, and alternative Dark Matter particle candidates.
Testing fundamental physics with gravitational waves
Juan Garcia-Bellido (Universidad Autónoma Madrid),
- Gravitational waves from black holes and neutron star binaries
- Stochastic Backgrounds of Gravitational Waves: from the Early to the Late Universe
- Multimessenger astronomy and tests of the theory of gravity
- Primordial black holes and the nature of dark matter
Statistics in Cosmology
Emille Ishida (Université Clermont Auvergne)
The goal of these lectures is to give students a broad description of key aspects of statistics useful in cosmological analysis. I will begin with a theoretical introduction to statistical thinking through frequentist and Bayesian paradigms. Afterwards, I will describe to the details of Markov Chain Monte Carlo Methods and their role in cosmological analysis.I will also discuss likelihood-free approaches and open discussions into the statistical aspects of machine learning in its first formulations.
Cosmology with SKA
Laura Wolz (University of Manchester)
- Introduction to radio astronomy: single dish telescopes and interferometers
- Overview on the Square Kilometre Array and pathfinders
- Cosmological observables in the radio wavelengths: radio continuum and HI spectral line
- Intensity mapping of the neutral hydrogen
- Dark energy and other cosmological constraints from the SKA
