76 citations · 98 across the 10 of their papers we have counts for
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physics.ins-det2024
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-det2024★ 76 cited
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…
physics.ins-det2023★ 10 cited
Electron transport measurements in liquid xenon with Xenoscope, a large-scale DARWIN demonstrator
L. Baudis, Y. Biondi, A. Bismark +10
There is a compelling physics case for a large, xenon-based underground detector devoted to dark matter and other rare-event searches. A two-phase time projection chamber as inner…