Fiorini M 1

1. Spatial and temporal evaluations of the liquid argon purity in ProtoDUNE-SP
2. The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data
3. Neutrino interaction vertex reconstruction in DUNE with Pandora deep learning
4. First search for K⁺ → π⁰πμe decays
5. Search for heavy neutral leptons in π⁺ decays to positrons
6. A measurement of the K ⁺ → π ⁺ μ ⁺ μ⁻ decay
7. A study of the K ⁺ → π ⁰ e ⁺ νγ decay
8. Improved calorimetric particle identification in NA62 using machine learning techniques
9. Performance of the NA62 trigger system
10. Searches for hidden sectors using K⁺→ π⁺X decays
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