activity
20032026
most citedSearch for Majorana neutrinos with the first two years of EXO-200 data

437 citations · 4.6k across the 78 of their papers we have counts for

collaborators
Showing 2018Show all

6 papers · 1 filter

hep-ex2018★ 40 cited

Constraints on Neutrino Lifetime from the Sudbury Neutrino Observatory

SNO Collaboration, B. Aharmim, S. N. Ahmed +128

The long baseline between the Earth and the Sun makes solar neutrinos an excellent test beam for exploring possible neutrino decay. The signature of such decay would be an energy-d…

hep-ex2018★ 26 cited

Tests of Lorentz invariance at the Sudbury Neutrino Observatory

SNO Collaboration, B. Aharmim, S. N. Ahmed +131

Experimental tests of Lorentz symmetry in systems of all types are critical for ensuring that the basic assumptions of physics are well-founded. Data from all phases of the Sudbury…

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 -…