AVAILABLE theses

Available projects sponsored by Emanuele R. Nocera

1. Topic: Study of the impact of LHC 13 TeV measurements on parton distribution functions (PDFs) using Machine Learning. Level: Master Student (medium risk, high gain)                                                                                                                                           Aim: the aim of the project is to study how precision measurements can improve the accuracy and precision of the PDFs, which are an essential ingredient to interpret the plethora of measurements at the LHC.
   Type: 35% analytic (collinear, perturbative QCD) and 65% computational (software in python)

2. Topic: Determination of physical parameters using Machine Learning                                                                                             Level: Master Student (medium risk, high gain)                                                                                                                                                   Aim: the aim of the project is a high-precision determination of physical parameters (such as the W boson mass), which is crucial for the LHC program, from a global determination of parton distribution functions (PDFs) using Machine learning techniques and different statistical models.                                                                                                                                                                             Type: 35% analytic (collinear, perturbative QCD) and 65% computational (software in python)

Available projects sponsored by Andrea Signori

1. Topic: interplay between the 3D structure of hadrons and the Standard model parameters
   Level: Master student (low risk, medium gain)
   Aim: the aim of the project is to study how the most recent knowledge for the 3D structure of hadrons in terms of transverse-momentum-dependent (TMD) parton distribution functions (PDFs) affects the determination of the W boson mass in hadronic collisions. The project connects hadron structure with one of the hot topics in high-energy physics 
   Type: computational project (software in C++, fortran, python)

2. Topic: the physics potential of Semi-Inclusive Deep-Inelastic Scattering (SIDIS)
   Level: Master or PhD student (medium risk, high gain)
   Aim: the aim of the project is to study and organize all the possible contributions to the cross section for SIDIS with a jet. The project connects the physics of SIDIS, jets, the mechanism of hadronization and mass generation in QCD
   Type: analytic (~75%) and computational (~25%) project 

3. ...

If you are interested in a project suitable for a BSc thesis, please get in touch with us.  

Master students working with us:

1. Lorenzo Canzian (M.Sc., 04/2024) - topic: "Impact of SIDIS data on the determination of parton distribution functions"
   (now intern at Newcleo srl)

2. Kamil Laurent (M.Sc., 10/2024) - topic: "Closure tests of transverse momentum distributions"
   (now PhD student at Nikhef) 

3. Francesca Lonigro (M.Sc., 10/2024) - topic: "Searching for new physics with Standard Model Effective Field Theory at the LHC"

4. Patrizio Pucci (M.Sc., 04/2024) - topic: "Determination of the Collins-Soper kernel in QCD"
   (now PhD student at Charles University, Prague)

5. Amedeo Chiefa (M.Sc., 10/2023) - topic: "Determination of the helicity distribution at NNLO in QCD"
   (now PhD student at University of Edinburgh)

Bachelor students working with us:

1. Andrea Perron Cabus (B.Sc., 07/2025) - topic: "The relevance of geometric phases: from the Aharonov-Bohm effect to QCD"

2. Elena Piccardi (B.Sc., 07/2025) - topic: "The Hopfield neural network and associative memory"

3. Francesco Zicarelli (B.Sc., 07/2025) - topic: "The EPR paradox and Bell's inequalities"

4. Filippo Pavarino (B.Sc., 11/2024) - topic: "Self-interactions and infinities: from classical electrodynamics to QED"

5. Jacopo Lancione (B.Sc., 11/2024) - topic: "Classification of gauge boson decays at the LHC"

6. Andrea Minotti (B.Sc., 11/2023) - topic: "The Sivers distribution in atomic Compton scattering"