activity
20002026
most citedA linear radiofrequency ion trap for accumulation, bunching, and emittance improvement of radioactive ion beams

314 citations · 3.9k across the 82 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

nucl-ex2018★ 22 cited

Mass Measurements of Neutron-Rich Gallium Isotopes Refine Production of Nuclei of the First r-Process Abundance Peak in Neutron Star Merger Calculations

M. P. Reiter, S. Ayet San Andrés, S. Nikas +33

We report mass measurements of neutron-rich Ga isotopes Ga with TRIUMF's Ion Trap for Atomic and Nuclear science (TITAN). The measurements determine the masses of $^{80-8…

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 -…