activity
20192026
most citedThe XLZD Design Book: Towards the Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics

21 citations · 37 across the 6 of their papers we have counts for

collaborators

7 papers

hep-ex2026

First Measurement of Solar Neutrinos through Elastic Neutrino-Electron Scattering at the keV Scale

XENON Collaboration, E. Aprile, J. Aalbers +170

We report on the first measurement of low-energy solar neutrinos through elastic neutrino-electron scattering in a dark matter experiment, establishing the lowest energy threshold…

hep-ex2026

Search for Magnetic and Spin-Independent Inelastic Dark Matter with XENONnT

E. Aprile, J. Aalbers, K. Abe +173

We present a search for Magnetic and Spin-Independent inelastic Dark Matter using 2.1 tonne-years of data from the XENONnT experiment. We consider both single- and double-site even…

hep-ex2026★ 2 cited

Light Dark Matter Search with 7.8 Tonne-Year of Ionization-Only Data in XENONnT

E. Aprile, J. Aalbers, K. Abe +174

We report on a blinded search for dark matter (DM) using ionization-only (S2-only) signals in XENONnT with a total exposure of over 579 days…

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…

hep-ex2024★ 21 cited

The XLZD Design Book: Towards the Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics

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

This report describes the experimental strategy and technologies for XLZD, the next-generation xenon observatory sensitive to dark matter and neutrino physics. In the baseline desi…

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…