5 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…
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…
First Search for Light Dark Matter in the Neutrino Fog with XENONnT
E. Aprile, J. Aalbers, K. Abe +165
We search for dark matter (DM) with a mass [3,12] using an exposure of 3.51 with the XENONnT experiment.We consider spin-indepen…
Effective field theory and inelastic dark matter results from XENON1T
E. Aprile, K. Abe, F. Agostini +157
In this work, we expand on the XENON1T nuclear recoil searches to study the individual signals of dark matter interactions from operators up to dimension-eight in a Chiral Effectiv…