Abstract
The next Galactic core-collapse supernova (SN) should yield a large number of observed neutrinos. Using Bayesian techniques, we show that with a SN at a known distance up to 25 kpc, the neutrino events in a water Cherenkov detector similar to Super-Kamiokande (SK) could be used to distinguish between seven one-dimensional neutrino emission models assuming no flavor oscillations or the standard Mikheyev-Smirnov-Wolfenstein effect. Some of these models could still be differentiated with a SN at a known distance of 50 kpc. We also consider just the relative distributions of neutrino energy and arrival time predicted by the models and find that a detector like SK meets the requirement to distinguish between these distributions with a SN at an unknown distance up to ∼10 kpc.
| Original language | English (US) |
|---|---|
| Article number | 083017 |
| Journal | Physical Review D |
| Volume | 105 |
| Issue number | 8 |
| DOIs | |
| State | Published - Apr 15 2022 |
Bibliographical note
Funding Information:We thank the Garching group for giving access to their SN neutrino emission models. J. O. is grateful to Ermal Rrapaj and Andre Sieverding for useful discussions. This work was supported in part by the U.S. Department of Energy under Grant No. DE-FG02-87ER40328. Calculations were carried out with resources of the Minnesota Supercomputing Institute.
Publisher Copyright:
© 2022 American Physical Society.