2 papers
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…
hep-ex2024
Offline tagging of radon-induced backgrounds in XENON1T and applicability to other liquid xenon detectors
E. Aprile, J. Aalbers, K. Abe +164
This paper details the first application of a software tagging algorithm to reduce radon-induced backgrounds in liquid noble element time projection chambers, such as XENON1T and X…