Scheda insegnamento

Anno Accademico 2021/2022

Conoscenze e abilità da conseguire

At the end of the course the student will learn several theoretical many-body approaches for the description of finite nuclei. Further, he/she will have the ability to devise numerical algorithms implementing the theoretical models. Small student goups will be guided to the development of short projects with the goal of enhancing their teamwork abilities.


Basic notions of nuclear physics and its main theoretical aspects essential to the development of the course.

Second quantization elements: creation and destruction operators of single particles for bosons and fermions. Representation of states and operators. Calculation of amplitudes and matrix elements. Field operators. Wick's theorem. Algebra of angular momentum.

Nuclear potentials. Phenomenology of nuclear potentials (phase-shifts, scattering lengths, effective ranges). Non-relativistic formulation in the space of coordinates and relativistic in the space of moments with particular attention to the most recent chiral approaches. Scattering theory. Lippmann-Schwinger equation (analytical treatment and numerical solution with Gauss integration). Comparison with experimental data. Theoretical description and numerical treatment of deuteron. Three-body forces. Faddeev equations for systems interacting for few-body systems. Application of the renormalization group to nuclear potential (Vlowk and Vsrg) and numerical implementation of the procedure.

Many-body approaches to nuclear physics. The concept of the mean field: empirical evidence in atomic and nuclear systems. Shell model approach to the nuclear problem of many body: mean field and residual interaction. Hartree's method for the description of the fundamental state. Iterative method for self-consistent solutions. Introducing the Pauli principle and Hartree-Fock equations. The local and non-local mean field. Numerical implementation. Perturbation theory for many-body systems: time evolution operator, Gell Mann-Low theorem, Goldstone theorem, Feynman-Goldstone diagrams. Brueckner theory for infinite systems: correlation energy, correlated wave functions, Jastrow factors. Numerical implementation for nuclear matter.

Monte Carlo methods. Introduction to stochastic methods: central limit theorem, Markov chains, error estimates. Metropolis method. Introduction to the Diffusion Monte Carlo and Variational Monte Carlo approaches also through numerical simulations and code development.


All lectures and references can be found on the following website

Metodi didattici

Standard classroom classes

Modalità di verifica e valutazione dell'apprendimento

Short oral examination and development of an original numerical project connected to the topics of the course.

Please fill the corresponding form through Almaesami.

Strumenti a supporto della didattica

Slides, notes and reading materials (english and italian language) will be available on the website.

Link ad altre eventuali informazioni


Orario di ricevimento

Consulta il sito web di Paolo Finelli