activity
20112020
most citedIndication of Electron Neutrino Appearance from an Accelerator-produced Off-axis Muon Neutrino Beam

1.4k citations · 2.4k across the 5 of their papers we have counts for

collaborators
Showing 2018Show all

6 papers · 1 filter

physics.ins-det2018

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

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

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…

nucl-ex2018

COHERENT Collaboration data release from the first observation of coherent elastic neutrino-nucleus scattering

COHERENT Collaboration, D. Akimov, J. B. Albert +91

This release includes data and information necessary to perform independent analyses of the COHERENT result presented in Akimov et al., arXiv:1708.01294 [nucl-ex]. Data is shared i…

physics.ins-det2018

COHERENT 2018 at the Spallation Neutron Source

D. Akimov, J. B. Albert, P. An +76

The primary goal of the COHERENT collaboration is to measure and study coherent elastic neutrino-nucleus scattering (CEvNS) using the high-power, few-tens-of-MeV, pulsed source of…

physics.ins-det2018

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 -…