When the next galactic supernova will occur, present and future detectors -- e.g. Super-Kamiokande, IceCube or JUNO- will hopefully guarantee many neutrino events in many channels of detection. At present, however, huge uncertainties on the emission models make not clear to understand what kind and how much information
about the initial emission parameters we can extract from the data. This situation is worsen by priors usually taken by analysts in order to simplify the problem, which hinder a direct comparison among results and could not be reflected in te real explosion.

The GERDA experiment searches for neutrinoless double beta (0νββ) decay of ⁷⁶Ge using high purity germanium (HPGe) detectors operated in liquid argon (LAr). GERDA relies on improved active background reduction techniques such as pulse shape discrimination (PSD). Phase II of the experiment includes a major upgrade: for further background rejection, the LAr cryostat is instrumented to detect argon scintillation light (LAr veto).

In its most recent muon-neutrino disappearance measurement at 810 km, the NOvA experiment observed a deviation from maximal mixing (sin²θ₂₃=0.5) at 2.6σ. This result is in tension with the 295-km baseline measurements of T2K, which are consistent with maximal mixing. We propose that θ₂₃ is in fact maximal, and that the disagreement is a harbinger of environmentally induced decoherence. The departure from maximal mixing can be accounted for by an energy-independent decoherence of strength Γ=(2.3±1.1)×10⁻²³ GeV.

The status and motivation for the short-baseline reactor experiment PROSPECT will be presented.

MicroBooNE is a liquid argon Time Projection Chamber (TPC) located in the Booster Neutrino Beam at Fermilab. One of its main goals is to study the >3σ excess observed at low energy (Eν ~ 200-600 MeV) by the MiniBooNE experiment, which was located in the same beam. Two independent analyses are ongoing in MicroBooNE to study this possible excess. One of them uses Deep Learning Convolutional Neural Network (CNN) tools, originally developed for image analysis, to reconstruct and identify particle tracks in the (1-proton, 1-lepton)CCQE neutrino final state topology.