All Bachelor, Masters and PhD theses based at the University of Milan containing N3PDF-related research are listed here and available for download:
2023
- Theory predictions for PDF fitting – Alessandro Candido, PhD + defense slides
- On the nature of soft and collinear scales in Higgs boson production at NNLO, Mattia Capuano, Masters
- On the Impact of Data Inconsistencies on Parton Distribution Determination, Giovanni De Crescenzo, Masters
- Matching threshold and transverse momentum resummations, Leonardo Giovanni Sartori, Bachelor
- Validation criteria in the determination of parton distributions, Samuele Voltan, Masters
2022
- Statistical learning for Standard Model Phenomenology – Roy Stegeman, PhD + defense slides
- Resummation of rapidity distributions in the singly and doubly soft limits, Lorenzo De Ros, Masters
- The impact of hadronic observables on gluon distribution, Dario Chemoli, Bachelor
- Correlation between statistical and physical properties of ensembles of Parton Distribution Functions, Elisa Stabilini, Bachelor
2021
- Resummation and Machine Learning Techniques: Towards Precision Phenomenology at the LHC – Tanjona Rabemananjara, PhD + defense slides
- Towards fully differential soft resummation, Cesare Carlo Mella, Masters
- Overfitting and Gaussianity of Parton Distribution Functions, Francesco Paolo Guerci, Bachelor
2020
- Substructure at colliders – Giovanni Stagnitto, PhD
- 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