The course is focused on understanding computational techniques that are routinely used in astrophysics and cosmological studies.
The aim of the course is to give students a working knowledge of these techniques and corresponding numerical implementations.
The course aims to illustrate the most common analytical and, above all, numerical techniques used to quantitatively analyze the physics of astrophysical systems (e.g. stellar evolution) and cosmic structures (evolution of large-scale structures, physics of primordial plasma, etc.)
At the end of this course a student will be able to understand and perform numerical calculations that are routinely used in astrophysics and cosmology research.
These include: calculations in cosmological perturbation theory to linear and non-linear order; N-body simulations; numerical calculations of cosmological observables.
The course is given by means of lectures that include:
- blackboard lessons - numerical tutorials
1) Stellar evolution and exoplanets: - python setup - numerical integration
2) Parameter estimation: - Monte-Carlo Markov-Chain methods - Kernel density estimators
3) Non-linear evolution of cosmic structures: - N-body simulations - Perturbation theory numerical loop integrals calculations
4) Correlation function measurements: - data structures and k-d trees
5) Linear cosmological perturbation theory: - prediction of cosmological observables with linear theory
6) Elements of machine learning for cosmology: - convolutional neural networks, emulators, parameter estimation accelerators
Modern Cosmology, Scott Dodelson, Fabian Schmidt, second edition
Ricevimento: Anytime. Please schedule an appointment by e-mail.
MARCO RAVERI (President)
ENZO FRANCO BRANCHINI
ALFONSO VEROPALUMBO (President Substitute)
SILVANO TOSI (Substitute)
Presentation.
Presentation
Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Professor Sergio Di Domizio (sergio.didomizio@unige.it), the Department’s disability liaison.
