Bulletin of the American Physical Society
6th Joint Meeting of the APS Division of Nuclear Physics and the Physical Society of Japan
Sunday–Friday, November 26–December 1 2023; Hawaii, the Big Island
Session 4WAB: Astrophysical Neutrinos IIInvited Workshop
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Chair: Volodymyr Takhistov Room: Hilton Waikoloa Village Kings 1 |
Monday, November 27, 2023 4:00PM - 4:30PM |
4WAB.00001: SNeND: "Near Detector" for Supernova Neutrino Measurements in DUNE Invited Speaker: Yun-Tse Tsai Detection of supernova neutrinos is one of the primary physics goals of the Deep Underground Neutrino Experiment (DUNE). However, highly significant systematic uncertainty and bias in the DUNE supernova neutrino measurements come from the discrepancies among theoretical calculations on the nu-Ar interaction cross sections with the neutrino energy in O(10 MeV), which have never been measured. In this talk, I will discuss the idea of "near detector" measurements with a liquid-argon time-projection chamber (LArTPC), improving the precision of supernova neutrino measurements in DUNE. |
Monday, November 27, 2023 4:30PM - 5:00PM |
4WAB.00002: Diffuse supernova neutrino background Invited Speaker: Shunsaku Horiuchi TBD |
Monday, November 27, 2023 5:00PM - 5:30PM |
4WAB.00003: Entanglement in two- and three-flavor collective neutrino oscillations Invited Speaker: Pooja Siwach The evolution of collective neutrino flavor oscillations that arises when the neutrinos are at high densities is a time-dependent quantum many-body problem. Solving such a problem is computationally complex in the sense that the size of the Hilbert space increases exponentially with the increase in the number of particles. One possibility to simplify this problem is solving it in the mean-field approximation. However, such an approximation does not consider the correlations between neutrinos resulting from the two-body interactions. Therefore, it is worth exploring the other numerical approaches to solve the quantum many-body problem within some approximation but still encountering the beyond-mean-field effects. The tensor network methods are a powerful tool in that direction. We employ one of the tensor network methods, the time-dependent variational principle method, to solve the time-dependent neutrino many-body problem. The superiority of the tensor network methods over the conventional methods like Runge-Kutta and Lanczos to investigate the collective neutrino oscillations when the number of neutrinos increases will be discussed in this talk. |
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