activity
20152026
most citedExclusion of Leptophilic Dark Matter Models using XENON100 Electronic Recoil Data

81 citations · 467 across the 23 of their papers we have counts for

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6 papers · 1 filter

physics.ins-det2025★ 1 cited

Flow and thermal modelling of the argon volume in the DarkSide-20k TPC

20k Collaboration, F. Acerbi, P. Adhikari +300

The DarkSide-20k dark matter experiment, currently under construction at LNGS, features a dual-phase time projection chamber (TPC) with a ~50 t argon target from an underground wel…

physics.ins-det2025★ 2 cited

Radon Removal in XENONnT down to the Solar Neutrino Level

E. Aprile, J. Aalbers, K. Abe +169

The XENONnT experiment has achieved an exceptionally low Rn activity concentration within its inner 5.9tonne liquid xenon detector of (0.900.01stat.$\…

physics.ins-det2024★ 6 cited

The neutron veto of the XENONnT experiment: Results with demineralized water

XENON Collaboration, E. Aprile, J. Aalbers +167

Radiogenic neutrons emitted by detector materials are one of the most challenging backgrounds for the direct search of dark matter in the form of weakly interacting massive particl…

physics.ins-det2024

Quality Assurance and Quality Control of the SiPM production for the DarkSide-20k dark matter experiment

F. Acerbi, P. Adhikari, P. Agnes +289

DarkSide-20k is a novel liquid argon dark matter detector currently under construction at the Laboratori Nazionali del Gran Sasso (LNGS) of the Istituto Nazionale di Fisica Nuclear…

physics.ins-det2024★ 11 cited

Neutrinoless Double Beta Decay Sensitivity of the XLZD Rare Event Observatory

XLZD Collaboration, J. Aalbers, K. Abe +441

The XLZD collaboration is developing a two-phase xenon time projection chamber with an active mass of 60 to 80 t capable of probing the remaining WIMP-nucleon interaction parameter…

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…