25 citations · 46 across the 4 of their papers we have counts for
22 papers
Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment
NEXT Collaboration, M. Kekic, C. Adams +88
Convolutional neural networks (CNNs) are widely used state-of-the-art computer vision tools that are becoming increasingly popular in high energy physics. In this paper, we attempt…
Dependence of polytetrafluoroethylene reflectance on thickness at visible and ultraviolet wavelengths in air
S. Ghosh, J. Haefner, J. Martín-Albo +88
Polytetrafluoroethylene (PTFE) is an excellent diffuse reflector widely used in light collection systems for particle physics experiments. However, the reflectance of PTFE is a fun…
Sensitivity of the NEXT experiment to Xe-124 double electron capture
G. Martínez-Lema, M. Martínez-Vara, M. Sorel +88
Double electron capture by proton-rich nuclei is a second-order nuclear process analogous to double beta decay. Despite their similarities, the decay signature is quite different,…
Sensitivity of a tonne-scale NEXT detector for neutrinoless double beta decay searches
NEXT Collaboration, C. Adams, V. Álvarez +96
The Neutrino Experiment with a Xenon TPC (NEXT) searches for the neutrinoless double-beta decay of Xe-136 using high-pressure xenon gas TPCs with electroluminescent amplification.…
Mitigation of Backgrounds from Cosmogenic Xe in Xenon Gas Experiments using He Neutron Capture
L. Rogers, B. J. P. Jones, A. Laing +89
\Xe{136} is used as the target medium for many experiments searching for \bbnonu. Despite underground operation, cosmic muons that reach the laboratory can produce spallation neutr…
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan"
J. Amundson, J. Annis, C. Avestruz +27
We present a response to the 2018 Request for Information (RFI) from the NITRD, NCO, NSF regarding the "Update to the 2016 National Artificial Intelligence Research and Development…