Courses

Courses a.y. 2023-2024

 

 

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Courses by Type
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ASTROPHYSICS AND COSMOLOGY    N : 4

Course nameCfuNotePeriodTime
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ASTROPHYSICS OF COMPACT OBJECTS

Astrophysics of compact objects

The course will introduce the nature of astrophyisical compact objects and their emission, both from a theoretical and observational point of view. The program of the lectures is:
a) Introduction to compact objects: white dwarfs, neutron stars and black holes.
b) Black holes: general properties. Schwarschild and Kerr metrics
c) Neutron stars. Pulsars: general properties and emission mechanisms.
Pulsars as General Relativity laboratories
 

2

 
EVOLUTION OF GALAXIES AND AGN AT HIGH REDSHIFT

Evolution of galaxies and AGN at high redshift

Formation and co-evolution of galaxies and AGN. New observations and results. The accretion and star formation history.
The galaxy and AGN luminosity functions.
The super-massive black hole mass function.
Evolution of the black hole mass - bulge scaling relations.
Feedback. The role of radio jets. Merging and interaction.
The large scale structure distribution.

3

 
  • Federica RICCI ( federica.ricci@uniroma3.it - Dipartimento di Matematica e Fisica )  
SPECTROSCOPY OF ASTROPHYSICAL PLASMAS

Spectroscopy of Astrophysical Plasmas

Programme:
 
-Spectroscopic Notation, Energy Levels, Transitions: selection rules -Basic Processes, The Ionisation Balance -Line Radiation: Emission -Line Absorption, Dust Extinction, Photoionised Plasmas
 

2

 
  • Stefano Bianchi ( stefano.bianchi@uniroma3.it - Universita degli Studi Roma TRE )  
ASTRONOMICAL POLARIMETRY

Astronomical Polarimetry

This course will introduce the basics of astronomical polarimetry at infrared through millimeter wavelengths. The course will cover basic polarization concepts, instrumentation and measurement techniques. It will also describe the role of polarimetry in exploring both the role of interstellar magnetic fields in Galactic dynamics and the early universe.  
 

2
Marzo 3-16, 2024
 

EARTH PHYSICS    N : 6

Course nameCfuNotePeriodTime
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EXPERIMENTAL DATA ANALYSIS

Experimental data analysis

Data collection and preparation
* Statistic with one variable and inference
* Data in time
* Geographically distributed data
* Statistic with two variables
* Non parametric statistics and multivariate methods
* Worked examples in Python/R

 

2

 
EXTRASOLAR PLANETOLOGY

EXTRASOLAR PLANETOLOGY

Description
The discovery of about 4000 extrasolar planets, gives a new start to the astrobiological research,
allowing to go further the Solar System. Moreover, the physical and orbital characteristics of the
new worlds, very different from those of our Solar System, are critical for the classical theory of the
planetary formation. The course aims to describe the experimental techniques for the search and
characterization of extrasolar planets, the statistical and physical results obtained up to now, the
consequences on the astrobiological studies and the search for life in other worlds than Earth. In
particular, the following points will be discussed:
• The techniques exploited to search for extrasolar planets.
• Observing techniques for the characterization of Exoplanet's atmospheres.
• Hints on the planetary formation and the migration theory. Pro and cons of both the core
accretion and disk instability theories.
• Main results obtained in the exoplanets research. Known and unknown things (statistic
properties, metallicity vs formation, orbital properties, mass period and eccentricity
distributions, etc. etc.)
• Giant planets and Brown dwarfs physics. The hot Jupiters topic will deepen.
• Terrestrial and rocky planets physics. The super-Earths.
• The concept of the habitable zone, its definition in the Sun case and its extension to the other
stars.
• The search for life as astrophysical problem.

2

Semester I
 
  • Riccardo CLAUDI ( riccardo.claudi@oapd.inaf.it - OAPD/INAF )  
PHYSICS OF PLANETARY ICES

Physics of planetary ices

Ices in the Solar System
Geophysical techniques for planetary ices investigation
Electrical properties of ices
Subsurface radar on planetary and terrestrial ices
Laboratory measurements on planetary ices


 

3

Semester I
 
  • Elena PETTINELLI ( elena.pettinelli@uniroma3.it - Dipartimento di Matematica e Fisica )  
  • Elisabetta MATTEI ( elisabetta.mattei@uniroma3.it - Dipartimento di Matematica e Fisica )  
SPACE WEATHER

Space Weather

According to the European Space Agency, Space weather refers to the environmental conditions in Earth’s magnetosphere, ionosphere and thermosphere due to the Sun and the solar wind that can influence the functioning and reliability of spaceborne and ground-based systems and services or endanger property or human health. As the several branches of application, the theme is very alive all over the world and carried out by teams representing different competences, such as physics, engineering, mathematics, chemistry, biology and medicine.
The course offers an overview of the physical mechanisms triggering the extreme events to highlight the space weather complexity and to represent the competences necessary to develop effective mitigation and forecasting strategies. Finally, the proposed course intends to highlight the scientific, technological and societal challenges still unsolved, also providing example of vulnerable technologies in the daily life.

Outline

  • Space weather: science or service?
  • Weather and climate in the circumterrestrial space
  • The Sun, the solar wind, the magnetosphere and the ionosphere
  • Space weather applications: how to predict and mitigate the impact on communication and navigation systems
  • Space weather programs and services all over the world

 

2

Semester I
 
TIME SERIES ANALYSIS

Time series analysis

  1. We will recall the basic principles of applied and numerical Fourier analysis: Fourier series and transform, energy and power spectrum, mutual and autocorrelation and their numerical computation.
  2. Impulse and harmonic response of a system.
  3. Filtering of a time series.
  4. Time series as sampling of a continuous signal.
3

Semester I
 
  • Roberto FERRETTI ( roberto.ferretti@uniroma3.it - Dipartimento di Matematica e Fisica )  
INVERSION METHODS IN GEOPHYSICS

Inversion methods in geophysics

This course is an introduction to geophysical inversion methods. The course will deal with both the resolution of linear and nonlinear problems using deterministic approaches such as the least squares method, the SVD, and regularization techniques as well as purely probabilistic approaches such as Markov chain Monte Carlo methods. The theory is illustrated through some examples taken from geophysical problems and their solution is discussed by performing inversion algorithms in the classroom.
References Books:
A. Tarantola, Inverse Problem Theory and Methods for Model Parameter Estimation, Siam
M. Bertero and P. Boccacci, Introduction to Inverse Problems in imaging, IoP
W. Menke: Geophysical Data Analysis: Discrete Inverse Theory. Academic Press



 

2

Semester II
 

CONDENSED MATTER PHYSICS: ESPERIMENTAL, THEORETICAL AND COMPUTATIONAL ASPECTS    N : 3

Course nameCfuNotePeriodTime
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DYNAMICS OF LIQUIDS AND GLASS TRANSITION THEORIES

Dynamics of liquids and glass transition theories

• Dynamical correlation functions
• Dynamics of liquids and glass transition
• Mode coupling theory of the glassy dynamics
 

3

 
  • Paola GALLO ( paola.gallo@uniroma3.it - Dipartimento di Matematica e Fisica )  
INTRODUCTION TO SPINTRONICS

Introduction to Spintronics

  1. Spin and charge coupled density diffusion equations.
  2. Giant Magnetoresistance Effect (GMR)
  3. Spin-orbit coupling in metals and semiconductors (Rashba, Dresselhaus, etc.)
  4. Extrinsic Spin Hall Effect.
  5. Intrinsic Spin  Hall Effect.
  6. Graphene and Topological Insulators.
3

 

EXPERIMENTAL HIGH ENERGY PHYSICS    N : 4

Course nameCfuNotePeriodTime
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DETECTOR SIMULATION WITH GEANT4

Detector simulation with Geant4

Pre-requisites: Knowledge of C++ language,basic knowledge of MC simulation techniques

Introduction
What is geant4 - basic concepts
Hands on: Installation and first run 

Detector description
Definition of detector geometry and materials
Visualization
Hands on: Add physical volumes to your first detector

Detector simulation
 
Generation of primaries
Extract information: user actions, scoring and hits
Hands on: Shoot particles in your detector, retrieve basic quantities and store them in a ROOT file

Advanced:
Optical physics
Hands on: simulation of a scintillator detector with pmt/sipm readout, comparison with experimental data
 
 

2

 
  • Stefano Maria MARI ( stefanomaria.mari@uniroma3.it - Dipartimento di Matematica e Fisica )  
  • Paolo MONTINI ( paolo.montini@uniroma3.it - Dipartimento di Matematica e Fisica )  
EXPERIMENTAL FLAVOUR PHYSICS

Experimental Flavour Physics

  • Flavour Physics Lectures   (A. Passeri)

    Definition of flavour and flavour physics.
    Flavour and Higgs.
    CKM matrix. Unitarity triangles.
    Flavour physics beyond the Standard Model
    Lepton Flavour Violation.
    Introduction to CP violation.
    CP violation in Kaons. Experimental measurement in NA48 and KLOE.
    Cabibbo angle (Vus) measurement fro charged and neutral kaon decays.
    Rare and very rare kaon decays.
    The GIM mechanism and observation of the charm quark.
    Charmed hadrons lifetimes.
    Leptonic and semileptonic charm decays.
    D meson mixing.
    Charmed mesons decay asymmetries.
    Accelerators and experiments for b physics studies.
    B meson mixing and CP violation.
    Measurement of angles and sides of the b unitarity triangle.
    Experimental measurement of Bd and Bs mixing.
    B hadrons lifetimes
    Search for new physics with B and D mesons decays.
    The leptonic flavour in the Standard Model.
    LFV beyond the SM.
    Mu-> e gamma and the MEG experiment.
    Future prospects: Mu2E proposal
    Tau LFV decays at B factories.
    Electrical dipole moments in physics BSM and their measurement.
2

 
  • Antonio PASSERI ( passeri@roma3.infn.it - INFN )  
EXPERIMENTAL HIGH ENERGY PHYSICS AT COLLIDERS

Experimental High Energy Physics at Colliders


- Accelerator Physics, Detectors (Lecture 1)

a) Trigger
b) Tracking detectors
c) Calorimeters
d) Muon Spectrometer
e) Luminosity Monitors
 
- Reconstruction of Objects (Lecture 2)
a) Tracks
b) Jets
c) Electrons and Photons
d) Muons
e) Missing Energy
 
- Cross Section Measurements (Lecture 3)
a) vertexing, pile-up, underlying event,
isolation, overlap removal
a) Background estimate (Control Regions,
ABCD methods, DD fake estimates, blind
Analysis,)
 
- Cross Section Measurements (Lecture 3,continued)
b) b-tag
c) Analysis Optimization
d) MVA Techniques
e) Statistical Interpretation, Statistical and
Systematic Errors, Discoveries, Limits,
NuisanceP, look-elsewhere effect, local significance.

- Kinematics, Feynman Diagrams (Lecture 4)
- pdf’s
- MC Generators & Geant

- Electro Weak Physics (Lecture 5)

a) Standard Candles (Low Mass Resonances, W Boson, Z Boson)
- QCD Physics & B Physics(Lecture 6)
- Top Physics (Lecture 7)
- Higgs Physics (Lectures 8, 9)
- Susy Physics (Lecture 10)
- Exotic Physics
- Future Accelerators and Perspectives (Lecture 11)

 
4

 
HADRON INTERACTIONS AT HIGH ENERGY

Hadron interactions at high energy

Experimental environment: ISR, SppS, Tevatron, RHIC, LHC.
General characteristics of low momentum-transfer interactions.
Inclusive particle production. Elastic, diffractive, total cross section.
Quantum chromodynamics, quark and gluons, colour factors, aS(Q2).
Deep inelastic lepton scattering, structure functions and Q2 evolution.
Parton density functions, Monte Carlo event generators, parton shower.
Drell–Yan, W and Z production.
Hadronic jets, jet-reconstruction algorithms, event-shape variables.
Inclusive jets, jet-pairs, jet-photon, multi-jet production.
Jet fragmentation function.
Measurements of aS(Q2).
Relativistic nuclei collisions, the quark-gluon plasma.
General characteristics of AA collisions, signals of plasma formation.
 

3

 
  • Filippo CERADINI ( filippo.ceradini@roma3.infn.it - Dipartimento di Matematica e Fisica )  

THEORETICAL HIGH ENERGY PHYSICS    N : 2

Course nameCfuNotePeriodTime
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ADVANCED COURSE ON THE STANDARD MODEL

Advanced course on the Standard Model

- Part I - Prof. Bonvini (Infn Roma 1)

1 Fundamentals of QCD
         - The Standard Model and the QCD lagrangian
         - Local, global and approximate symmetries of QCD
           - The QCD vacuum and the strong CP problem
 2 Perturbative QCD
        - The running of the strong coupling
        - Variable flavour number (renormalization) scheme
        - Infrared divergences in QCD
        - Collinear factorization and parton distribution functions
        - DGLAP evolution
        - Variable flavour number (factorization) scheme
        - PDF determination
        - All-order resummations
        - Divergence of perturbative expansions and Borel summation


- Part II: Flavor Physics and Lattice QCD - Prof.  V. Lubicz 6 hour (Roma Tre)

   1) Flavor Physics and its motivations
    -  Open questions in the Standard Model
    -  The flavor sector
    -  Flavor Physics and New Physics searches

    2) Introduction to Lattice QCD
    -  The lattice regularization
    -  The QCD action on the lattice
    -  Monte Carlo simulations and importance sampling
    -  Correlation functions
    -  Systematic Errors

     3) Flavor Physics on the lattice
    - QED corrections and isospin breaking effects
    - Quark masses and the hadronic spectrum
    - The Cabibbo angle and the unitarity test
    - QED corrections and isospin breaking effects in hadronic processes

- Part III Electroweak physics - Prof. G. Degrassi 6 hour (Roma Tre)

   Standard Model Review
    - Definition of the Fermi constant
    - The rho parameter
    - The custodial symmetry
    - Gaugeless limit of the Standard Model

   Renormalization of the Standard Model
    - The  Delta r and Delta kappa parameters
    - The Ms bar and On-Shell renormalization schemes
  
   Precision Physics
    - g-2
    - Indirect determination of the top and Higgs masses
    - Theoretical constraints on the Higgs mass
    - Higgs decays and production

 

2

 
  • Giuseppe DEGRASSI ( giuseppe.degrassi@uniroma3.it - Dipartimento di Matematica e Fisica )
    • Part III Electroweak Physics - 6 hours (Roma Tre)
     
  • Marco Bonvini ( bonvini@roma1.infn.it - INFN )  
  • Vittorio LUBICZ ( vittorio.lubicz@uniroma3.it - Dipartimento di Matematica e Fisica )  
ELEMENTS OF GROUP THEORY AND GUT

Elements of Group Theory and GUT


- Grand Unified Theories: SU(5) and SO(10)
- Models of neutrino masses and mixing

3

 
  • Davide MELONI ( davide.meloni@uniroma3.it - Dipartimento di Matematica e Fisica )  

METHODS AND MODELS OF MATHEMATICAL PHYSICS    N : 1

Course nameCfuNotePeriodTime
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HANDS ON CONTINUUM MECHANICS

HANDS ON CONTINUUM MECHANICS

Organizers: the course is organized in partnership with three PhD Schools:

PhD on Mathematics, Dept. Mathematics & Physics, University Roma Tre;
PhD on Theoretical & Applied Mechanics, Dept. Aeronautical & Mechanical Engineering, Sapienza University, Roma;
PhD on Structural & Geotechnical Engineering, Dept. of Structural and Geotechnical Engineering, Sapienza
University, Roma.
Goal: understand the fundamentals of continuum mechanics through worked examples. Participants will tackle some
typical problems of continuum mechanics, and will learn to implement a given problem using the weak formulation into
the COMSOL software and to discuss the solution.
Synopsis of Lectures
1) Browse a model of nonlinear solid mechanics, from the implementation to the solution.
A first glance at the fundamentals of continuum mechanics: Kinematics, Constitutive, and Balance laws.
Differential form (strong) versus Integral form (weak).
Worked example: large deformations of a hyperelastic solid under loadings.
2) Material Versus Spatial description.
A continuum body as a differentiable manifold.
Tell the difference between tensors: strain tensor versus stress tensor.
Pull back & push forward of scalar, vector and tensor fields.
Geometric elements; change of densities.
3) Solid mechanics versus Fluid mechanics
Kinematical constraints; isochoric motion.
Reference stress (Piola) & Actual stress (Cauchy).
Polar decomposition theorem; eigenspace of the stress tensor and of the strain tensor
4) Non linear solid mechanics
Worked example: large deformations of a hyperelastic solid under distortions. Target metric.
5) Material response
Worked example: from elastic energy to the constitutive law for the stress.
Transversely isotropic materials. Fiber reinforced materials.
Worked example: fiber reinforced hyperelastic solid under traction.
6) Fluid dynamics
Tackling Navier Stokes equations.
Worked examples: fluid in a channel; fluid around an obstacle.
7) Fluid-Structure interactions - theory
Worked examples: understand the moving mesh technique; how to write the problem of a beam immersed in a fluid.
8) Fluid-Structure interactions - practice
Worked example: implement and solve the problem of an oscillating beam immersed in a fluid.

3

 
  • Luciano TERESI ( luciano.teresi@uniroma3.it - Dipartimento di Matematica e Fisica )  

EDUCATION AND OUTREACH    N : 3

Course nameCfuNotePeriodTime
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COMMUNICATING SCIENCE

Communicating Science

  • You can’t not communicate (1st law of communication).  But at the same time, communicating efficiently is an ability that needs to be learned and constantly improved.  This is always a must, but most of all in the field of science, where convincing the public (and investors) of the importance of your research is becoming everyday more important.
    This didactic module is an introduction to communication for future researchers, engineers, technicians and any other profession related to science.  We do not intend to train professional communicators but to provide to a PhD student some communicating skills he will need sooner or later in his future work, like talking to an audience, presenting the results of his work to an investor, collaborating with press offices, managing interviews by journalists, writing articles for different media, making a website to spread his results, organizing fund raising activities.
    The module is based on hands-on activities and laboratories , starting from the analysis of science communication Case Studies that will be presented and discussed in italian and/or in english (depending on the content) .
     
2

 
COMMUNICATING SCIENCE: PUBLIC SPEAKING (MODULE B OF THE COURSE "COMMUNICATING SCIENCE")

Communicating science: public speaking (Module B of the course "Communicating Science")

In this 6-hour course, we will focus on oral science communication, from public speaking techniques to preparing presentation materials. To do this, we will start from the general guidelines of scientific communication learned in module 1 of the course "Communicating Science", we will focus on the techniques for oral communication, we will practice with specific exercises and carry out some practical activities.
 
1

 
PHYSICS EDUCATION

Physics Education

The course will present the founding ideas and main results of research in Physics Education, which, over the past decades, has developed a set of methods, knowledge and applications useful for those who want to try their hand at teaching physics.  
Some of the fundamental aspects of teaching and learning physics will be addressed: the difficulties and common understandings of students, the role of experiments, models and analogies, the educational reconstruction of content, learning paths, teachers' professional development.   
Teaching aims to promote doctoral students' reflection on how to adapt physics content to a specific teaching context, be it University or School.   
Teaching activities will be carried out through interactive lecturing, demonstrating, classroom discussion.


 

2

 

INFORMATICS    N : 2

Course nameCfuNotePeriodTime
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INFRASTRUCTURE AND BEST PRACTICE FOR USING HIGH-PERFORMANCE COMPUTING SYSTEMS

Infrastructure and best practice for using high-performance computing systems

Motivations and objectives of the course: Modern physics research
requires an intensive use of computing operations that require computing
resources that are not available on personal devices but are available
on advanced and shared computing systems such as Cloud, GRID and
Cluster. The course is aimed at young researchers interested in
accessing computing resources on advanced architectures. In this course
we will explain high-performance shared computing infrastructures and
architectures and techniques for efficiently using multi-core systems
and advanced data storage systems. The course will be carried out
through the use of slides for the theoretical part and for the practical
part the resources of the Department's computing cluster and the INFN
section will be made available

Plan:
·       Introduction to advanced computing systems
·       Introduction to scheduling systems and batch systems.
·       Data storage systems: local, network and parallel file system
architectures.
·       Porting  of applications to HPC systems.
·       Best practice for measuring and optimizing performance on HPC
systems.


 

1

 
  • Antonio BUDANO ( antonio.budano@roma3.infn.it - INFN )  
PYTHON

Python

Acquisire competenze per l'implementazione al calcolatore di programmi ad alto livello nel linguaggio interpretato
Python. Conoscere i costrutti fondamentali di Python e la sua applicazione a casi d'uso legati al calcolo scientifico e
all'elaborazione dei dati.

3

 
  • Paola CELIO ( paola.celio@uniroma3.it - Universita degli Studi Roma TRE )  

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Admin 04 Settembre 2019