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Second gadolinium loading to Super-Kamiokande
K. Abe, C. Bronner, Y. Hayato +246
The first loading of gadolinium (Gd) into Super-Kamiokande in 2020 was successful, and the neutron capture efficiency on Gd reached 50\%. To further increase the Gd neutron capture…
Using Machine Learning to Improve Neutron Identification in Water Cherenkov Detectors
Blair Jamieson, Matt Stubbs, Sheela Ramanna +5
Water Cherenkov detectors like Super-Kamiokande, and the next generation Hyper-Kamiokande are adding gadolinium to their water to improve the detection of neutrons. By detecting ne…
First Gadolinium Loading to Super-Kamiokande
K. Abe, C. Bronner, Y. Hayato +212
In order to improve Super-Kamiokande's neutron detection efficiency and to thereby increase its sensitivity to the diffuse supernova neutrino background flux, 13 tons of $\rm Gd_2(…
Online Rn removal by cryogenic distillation in the XENON100 experiment
XENON Collaboration, E. Aprile, J. Aalbers +119
We describe the purification of xenon from traces of the radioactive noble gas radon using a cryogenic distillation column. The distillation column is integrated into the gas purif…
Removing krypton from xenon by cryogenic distillation to the ppq level
XENON Collaboration, E. Aprile, J. Aalbers +119
The XENON1T experiment aims for the direct detection of dark matter in a cryostat filled with 3.3 tons of liquid xenon. In order to achieve the desired sensitivity, the background…
Physics reach of the XENON1T dark matter experiment
The XENON collaboration, E. Aprile, J. Aalbers +113
The XENON1T experiment is currently in the commissioning phase at the Laboratori Nazionali del Gran Sasso, Italy. In this article we study the experiment's expected sensitivity to…