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20242026
most citedChallenging Spontaneous Quantum Collapse with XENONnT

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physics.ins-det2026

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…

physics.ins-det2026

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…

physics.ins-det2026

Enhancing Neutrinoless Double-Beta Decay Sensitivity of Liquid-Xenon Time Projection Chamber with Augmented Convolutional Neural Network

E. Aprile, J. Aalbers, K. Abe +173

Dual-phase time projection chamber (TPC) that employs a multi-ton-scale liquid xenon (LXe) target mass is a pioneering detector technology to search for dark matter. Beyond its adv…

physics.ins-det2026

Development & Characterization of Electrodes for large-scale Xenon Time Projection Chambers

A. Elykov, S. Vetter, V. H. S. Wu +16

Dual-phase liquid xenon time projection chambers are the core detector elements of many experiments that conduct searches for Dark Matter and rare events, as well as in neutrino an…

physics.ins-det2025

Mineral Detection of Neutrinos and Dark Matter 2025 Proceedings

Shigenobu Hirose, Patrick Stengel, Natsue Abe +70

The third ``Mineral Detection of Neutrinos and Dark Matter'' (MDDM'25) meeting was held May 20-23, 2025 in Yokohama, Japan, hosted by the Yokohama Institute for Earth Sciences,…

physics.ins-det2025

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…