9 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…
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…
XENONnT WIMP Search: Signal & Background Modeling and Statistical Inference
XENON Collaboration, E. Aprile, J. Aalbers +161
The XENONnT experiment searches for weakly-interacting massive particle (WIMP) dark matter scattering off a xenon nucleus. In particular, XENONnT uses a dual-phase time projection…
Search for Light Dark Matter in Low-Energy Ionization Signals from XENONnT
E. Aprile, J. Aalbers, K. Abe +165
We report on a blinded search for dark matter with single- and few-electron signals in the first science run of XENONnT relying on a novel detector response framework that is physi…