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