期刊
PHYSICAL REVIEW D
卷 105, 期 8, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.105.083017
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资金
- U.S. Department of Energy [DE-FG02-87ER40328]
- U.S. Department of Energy (DOE) [DE-FG02-87ER40328] Funding Source: U.S. Department of Energy (DOE)
The next Galactic core-collapse supernova is expected to generate a significant number of observable neutrinos. By analyzing the neutrino events detected by a water Cherenkov detector like Super-Kamiokande, different one-dimensional neutrino emission models can be distinguished. The relative distributions of neutrino energy and arrival time predicted by these models can also be differentiated using the detector.
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 MikheyevSmirnov-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.
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