7 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…
Graph Neural Network-Based Pipeline for Track Finding in the Velo at LHCb
Anthony Correia, Fotis I. Giasemis, Nabil Garroum +2
Over the next decade, increases in instantaneous luminosity and detector granularity will amplify the amount of data that has to be analysed by high-energy physics experiments, whe…
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…
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…
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…
Towards Precision Spectroscopy of Antiprotonic Atoms for Probing Strong-field QED
Gonçalo Baptista, Shikha Rathi, Michael Roosa +26
PAX (antiProtonic Atom X-ray spectroscopy) is a new experiment with the aim to test strong-field quantum electrodynamics (QED) effects by performing high-precision x-ray spectrosco…