Robust measurement of supernova νe spectra with future neutrino detectors

Alex Nikrant, Ranjan Laha, and Shunsaku Horiuchi
Phys. Rev. D 97, 023019 – Published 25 January 2018

Abstract

Measuring precise all-flavor neutrino information from a supernova is crucial for understanding the core-collapse process as well as neutrino properties. We apply a chi-squared analysis for different detector setups to explore determination of νe spectral parameters. Using a long-term two-dimensional core-collapse simulation with three time-varying spectral parameters, we generate mock data to examine the capabilities of the current Super-Kamiokande detector and compare the relative improvements that gadolinium, Hyper-Kamiokande, and DUNE would have. We show that in a realistic three spectral parameter framework, the addition of gadolinium to Super-Kamiokande allows for a qualitative improvement in νe determination. Efficient neutron tagging will allow Hyper-Kamiokande to constrain spectral information more strongly in both the accretion and cooling phases. Overall, significant improvements will be made by Hyper-Kamiokande and DUNE, allowing for much more precise determination of νe spectral parameters.

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  • Received 1 November 2017

DOI:https://doi.org/10.1103/PhysRevD.97.023019

© 2018 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & Astrophysics

Authors & Affiliations

Alex Nikrant1,*, Ranjan Laha2,3,4,†, and Shunsaku Horiuchi1,5,‡

  • 1Department of Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
  • 2KIPAC, Department of Physics, Stanford University, Stanford, California 94305, USA
  • 3SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
  • 4PRISMA Cluster of Excellence and Mainz Institute for Theoretical Physics, Johannes Gutenberg-Universitat Mainz, 55099 Mainz, Germany
  • 5Center for Neutrino Physics, Department of Physics, Virginia Tech, Blacksburg, Virginia 24061, USA

  • *anik417@vt.edu
  • ranjalah@uni-mainz.de
  • horiuchi@vt.edu

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Issue

Vol. 97, Iss. 2 — 15 January 2018

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