May 15 – 21, 2022
America/New_York timezone

Predicting supernovae induced event rates in KamLAND using snewpy and SNOwGLoBES

May 21, 2022, 9:20 AM
25m
Arcade Ballroom: South

Arcade Ballroom: South

Oral talk - Experiment Parallel

Speaker

Joseph Smolsky (MIT)

Description

Supernovae neutrinos serve as a direct probe of stellar interiors under extreme conditions. These neutrinos carry information important to open questions such as: the supernovae shock breakout mechanism, the stiffness of the nuclear equation of state, neutrino oscillation parameters and mass hierarchy, and much more. The next galactic supernova could produce hundreds to thousands of neutrino events in detectors such as KamLAND, a 1 kiloton liquid scintillator neutrino detector. We have implemented KamLAND within the SNOwGLoBES and snewpy framework and are now using it to disentangle different SN models. This work and a re-investigation of the proton elastic scattering detection channel will be presented.

Primary author

Presentation materials