Showing physics.ins-detShow all
2 papers · 1 filter
physics.ins-det2026
Model-independent searches of new physics in DARWIN with a semi-supervised deep learning pipeline
J. Aalbers, K. Abe, M. Adrover +231
We present a novel deep learning pipeline to perform a model-independent, likelihood-free search for anomalous (i.e., non-background) events in the proposed next generation multi-t…
physics.ins-det2025
The XENONnT Dark Matter Experiment
XENON Collaboration, E. Aprile, J. Aalbers +192
The multi-staged XENON program at INFN Laboratori Nazionali del Gran Sasso aims to detect dark matter with two-phase liquid xenon time projection chambers of increasing size and se…