Supernova neutrinos provide a unique probe of neutrino physics under extreme conditions and core-collapse dynamics while simultaneously enabling multimessenger observations of supernovae. The DarkSide-20k experiment, a dual-phase liquid argon time projection chamber, is sensitive to supernova neutrinos through both coherent elastic neutrino-nucleus scattering (CE$\nu$NS) and the...
"We present a potential improvement over the standard method developed to determine antineutrino directionality in inverse-beta-decay detectors via a new directionality algorithm utilizing the Frobenius norm for the ``distance'' between two matrices. The previously developed method in monolithic and segmented detectors underestimated angular uncertainty in the low-count regime. We discuss the...
This study presents a denoising algorithm trained using machine learning to improve the energy resolution of a single-phase liquid xenon time projection chamber for neutrinoless double beta decay detection. Supervised, unsupervised, and semi-supervised models are demonstrated to significantly remove noise from simulated measurements while preserving signal information. The supervised model...
Large water Cherenkov detector experiments aim to shed light on violations in the neutrino sector by extracting the oscillation parameters from observed neutrino events. However, this is made challenging by the complexity of the detector dataset, which consists of charge and timing measurements from tens of thousands of photomultiplier tubes. In this talk, I describe recent progress toward a...
