15 papers
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…
Low-Energy Nuclear Recoil Calibration of XENONnT with a YBe Photoneutron Source
XENON Collaboration, E. Aprile, J. Aalbers +169
Characterizing low-energy, keV-range nuclear recoils near the detector threshold is one of the major challenges for large direct dark matter detectors. To that end, we have success…
Challenging Spontaneous Quantum Collapse with XENONnT
E. Aprile, J. Aalbers, K. Abe +174
We report on the search for X-ray radiation as predicted from dynamical quantum collapse with low-energy electronic recoil data in the energy range of 1-140 keV from the first scie…
Setting limits on blazar-boosted dark matter with xenon-based detectors
Erin Barillier, Laura Manenti, Knut Mora +5
Dual-phase xenon time projection chambers achieve optimal sensitivity for dark matter in the 10 to 1000 GeV/c mass range, but sub-GeV dark matter particles lack sufficient ener…
WIMP Dark Matter Search using a 3.1 Tonne-Year Exposure of the XENONnT Experiment
E. Aprile, J. Aalbers, K. Abe +175
We report on a search for weakly interacting massive particle (WIMP) dark matter (DM) via elastic DM-xenon-nucleus interactions in the XENONnT experiment. We combine datasets from…
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…