From the 1 of 11 linked papers with an AI index.
1 citations · 1 across the 4 of their papers we have counts for
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Machine learning-assisted techniques for Compton-background discrimination in Broad Energy Germanium (BEGe) detector
Giovanni Baccolo, Andrea Barresi, Davide Chiesa +8
High Purity Germanium (HPGe) detectors are powerful detectors for gamma-ray spectroscopy. The sensitivity to low-intensity gamma-ray peaks is often hindered by the presence of Comp…
The Design and Technology Development of the JUNO Central Detector
The JUNO Collaboration
The Jiangmen Underground Neutrino Observatory (JUNO) is a large scale neutrino experiment with multiple physics goals including deter mining the neutrino mass hierarchy, the accura…
Data-driven background model for the CUORE experiment
CUORE Collaboration, D. Q. Adams, C. Alduino +115
We present the model we developed to reconstruct the CUORE radioactive background based on the analysis of an experimental exposure of 1038.4 kg yr. The data reconstruction relies…