activity
20142026
most citedSearch for Neutrinoless Double-Beta Decay with the Complete EXO-200 Dataset

258 citations · 994 across the 20 of their papers we have counts for

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9 papers · 1 filter

physics.ins-det2026

EXO-200 Public Data Release for AI/ML Applications

S. Al Kharusi, G. Anton, I. Badhrees +103

We present a public release of a subset of calibration data from the EXO-200 experiment, a liquid xenon time projection chamber designed to search for neutrinoless double-beta deca…

physics.ins-det2019★ 34 cited

Measurement of the scintillation and ionization response of liquid xenon at MeV energies in the EXO-200 experiment

200 Collaboration, G. Anton, I. Badhrees +99

Liquid xenon (LXe) is employed in a number of current and future detectors for rare event searches. We use the EXO-200 experimental data to measure the absolute scintillation and i…

physics.ins-det2018★ 11 cited

Study of Silicon Photomultiplier Performance in External Electric Fields

X. L. Sun, T. Tolba, G. F. Cao +149

We report on the performance of silicon photomultiplier (SiPM) light sensors operating in electric field strength up to 30 kV/cm and at a temperature of 149K, relative to their per…

physics.ins-det2018★ 43 cited

VUV-sensitive Silicon Photomultipliers for Xenon Scintillation Light Detection in nEXO

A. Jamil, T. Ziegler, P. Hufschmidt +140

Future tonne-scale liquefied noble gas detectors depend on efficient light detection in the VUV range. In the past years Silicon Photomultipliers (SiPMs) have emerged as a valid al…

physics.ins-det2018★ 77 cited

nEXO Pre-Conceptual Design Report

nEXO Collaboration, S. Al Kharusi, A. Alamre +171

The projected performance and detector configuration of nEXO are described in this pre-Conceptual Design Report (pCDR). nEXO is a tonne-scale neutrinoless double beta () deca…

physics.ins-det2018★ 39 cited

Deep Neural Networks for Energy and Position Reconstruction in EXO-200

S. Delaquis, M. J. Jewell, I. Ostrovskiy +91

We apply deep neural networks (DNN) to data from the EXO-200 experiment. In the studied cases, the DNN is able to reconstruct the relevant parameters - total energy and position -…