Speaker
Shion Kubota
(Harvard University)
Description
The detection of neutrinos from core-collapse supernovae may reveal important process features as well as neutrino properties. The detection of supernova neutrinos is one of the main science drivers for future kiloton-scale neutrino detectors based on liquid argon. Here we show that for such detectors, the intrinsically 3D information offered by the new Q-Pix readout, provides numerous advantages relative to a wire-based readout, such as higher reconstruction efficiency, lower energy threshold, considerably lower data rates, and potential pointing information from supernovae.
Primary author
Shion Kubota
(Harvard University)
