All Bachelor, Masters and PhD theses based at the University of Milan containing N3PDF-related research are listed here and available for download:
2021
- Resummation and Machine Learning Techniques: Towards Precision Phenomenology at the LHC – Tanjona Rabemananjara, PhD
2020
- Approximation of the transverse momentum distribution of colorless objects from soft resummation – Simone Rota, Masters
- High-order matching for heavy quarks in perturbative QCD – Silvia Zanoli, Masters
- Optimized regression models for parton distribution functions determination using deep learning models – Nicola Lambri, Masters
2019
- Stability studies in the determination of parton distributions – Federico Settimo, Bachelor
- A deep learning approach to event generator tuning – Marco Lazzarin, Bachelor
- Infinity state machine – Andrea Papaluca, Masters
- Investigating anomaly effects in high energy physics with generative models – Marco Rossi, Masters
- Performing PDF fits on GPU: a preliminary search for the best solution – Emilio Villa, Masters
- A machine learning approach to breaststroke – Marco Zanchi, Bachelor