activity
19982025
most citedDark Matter Search Results from a One TonneYear Exposure of XENON1T

1.8k citations · 21.7k across the 214 of their papers we have counts for

collaborators

215 papers

physics.ins-det2025

Atmospheric muon flux suppression at potential new low-radiation underground physics laboratory in Israel

Nadav Hargittai, Igor Zolkin, Yiftah Silver +5

The residual atmospheric muon flux was measured at a candidate site for a new underground, low-radiation physics laboratory beneath the Kokhav HaYarden national park in Israel. Loc…

hep-ex2023★ 10 cited

Design and performance of the field cage for the XENONnT experiment

E. Aprile, K. Abe, S. Ahmed Maouloud +161

The precision in reconstructing events detected in a dual-phase time projection chamber depends on an homogeneous and well understood electric field within the liquid target. In th…

physics.ins-det2023★ 3 cited

Cosmogenic background simulations for the DARWIN observatory at different underground locations

M. Adrover, L. Althueser, B. Andrieu +180

Xenon dual-phase time projections chambers (TPCs) have proven to be a successful technology in studying physical phenomena that require low-background conditions. With 40t of liqui…

hep-ex2023

Search for events in XENON1T associated with Gravitational Waves

XENON Collaboration, E. Aprile, K. Abe +160

We perform a blind search for particle signals in the XENON1T dark matter detector that occur close in time to gravitational wave signals in the LIGO and Virgo observatories. No pa…

hep-ex2023★ 18 cited

Searching for Heavy Dark Matter near the Planck Mass with XENON1T

E. Aprile, K. Abe, S. Ahmed Maouloud +164

Multiple viable theoretical models predict heavy dark matter particles with a mass close to the Planck mass, a range relatively unexplored by current experimental measurements. We…

hep-ex2023★ 12 cited

Detector signal characterization with a Bayesian network in XENONnT

XENON Collaboration, E. Aprile, K. Abe +164

We developed a detector signal characterization model based on a Bayesian network trained on the waveform attributes generated by a dual-phase xenon time projection chamber. By per…