activity
20192025
most citedConstraining the Spin-Dependent WIMP-Nucleon Cross Sections with XENON1T

239 citations · 241 across the 4 of their papers we have counts for

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hep-ex2024

XENONnT Analysis: Signal Reconstruction, Calibration and Event Selection

XENON Collaboration, E. Aprile, J. Aalbers +165

The XENONnT experiment, located at the INFN Laboratori Nazionali del Gran Sasso, Italy, features a 5.9 tonne liquid xenon time projection chamber surrounded by an instrumented neut…

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…

hep-ex2023

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…

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

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

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…