On the occurrence of fast neutrino flavor conversions in multidimensional supernova models

被引:92
作者
Abbar, Sa Ad [1 ,2 ]
Duan, Huaiyu [2 ]
Sumiyoshi, Kohsuke [3 ]
Takiwaki, Tomoya [4 ]
Volpe, Maria Cristina [1 ]
机构
[1] Univ Paris 07, CNRS UMR 7164, APC, F-75205 Paris 13, France
[2] Univ New Mexico, Dept Phys & Astron, Albuquerque, NM 87131 USA
[3] Numazu Coll Technol, Ooka 3600, Numazu, Shizuoka 4108501, Japan
[4] Natl Astron Observ Japan, Mitaka, Tokyo 1818588, Japan
关键词
OSCILLATIONS; INSTABILITIES;
D O I
10.1103/PhysRevD.100.043004
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
The dense neutrino medium in a core-collapse supernova or a neutron-star merger event can experience fast flavor conversions on time/distance scales that are much smaller than those of vacuum oscillations. It is believed that fast neutrino flavor transformation occurs in the region where the angular distributions of nu(e) and (nu) over bar (e) cross each other. We present the first study of this crossing phenomenon and the fast neutrino flavor conversions in multidimensional (multi-D) supernova models. We examine the neutrino distributions obtained by solving the Boltzmann transport equation for several fixed profiles which are representative snapshots taken from separate 2D and 3D supernova simulations with an 11.2 M-circle dot progenitor model. Our research shows that the spherically asymmetric patterns of the nu(e) and (nu) over bar (e) fluxes in multi-D models can assist the appearance of the crossing between the nu(e) and (nu) over bar (e) angular distributions. In the models that we have studied, there exist unstable neutrino oscillation modes in and beyond the neutrino decoupling region which have amplitude growth rates as large as an e-fold per nanosecond. This finding can have important consequences for the explosion mechanism, nucleosynthesis, and neutrino signals of core-collapse supernovae.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Fast neutrino flavor conversions in a supernova: Emergence, evolution, and effects
    Xiong, Zewei
    Wu, Meng-Ru
    George, Manu
    Lin, Chun-Yu
    Largani, Noshad Khosravi
    Fischer, Tobias
    Martinez-Pinedo, Gabriel
    PHYSICAL REVIEW D, 2024, 109 (12)
  • [2] Fast neutrino flavor conversion modes in multidimensional core-collapse supernova models: The role of the asymmetric neutrino distributions
    Abbar, Sajad
    Duan, Huaiyu
    Sumiyoshi, Kohsuke
    Takiwaki, Tomoya
    Volpe, Maria Cristina
    PHYSICAL REVIEW D, 2020, 101 (04)
  • [3] Nonstandard neutrino self-interactions in a supernova and fast flavor conversions
    Dighe, Amol
    Sen, Manibrata
    PHYSICAL REVIEW D, 2018, 97 (04)
  • [4] Fast neutrino flavor conversions near the supernova core with realistic flavor-dependent angular distributions
    Dasgupta, Basudeb
    Mirizzi, Alessandro
    Sen, Manibrata
    JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS, 2017, (02):
  • [5] Neutrino-neutrino interactions in a supernova and their effect on neutrino flavor conversions
    Dighe, Amol
    NUINT11: THE 7TH INTERNATIONAL WORKSHOP ON NEUTRINO-NUCLEUS INTERACTIONS IN THE FEW GEV REGION, 2011, 1405
  • [6] Application of neural networks for the reconstruction of supernova neutrino energy spectra following fast neutrino flavor conversions
    Abbar, Sajad
    Wu, Meng-Ru
    Xiong, Zewei
    PHYSICAL REVIEW D, 2024, 109 (08)
  • [7] No Collective Neutrino Flavor Conversions during the Supernova Accretion Phase
    Chakraborty, Sovan
    Fischer, Tobias
    Mirizzi, Alessandro
    Saviano, Ninetta
    Tomas, Ricard
    PHYSICAL REVIEW LETTERS, 2011, 107 (15)
  • [8] Supernova Neutrinos: Fast Flavor Conversions Near the Core
    Sen, Manibrata
    XXII DAE HIGH ENERGY PHYSICS SYMPOSIUM, 2018, 203 : 533 - 537
  • [9] Collisional Triggering of Fast Flavor Conversions of Supernova Neutrinos
    Capozzi, Francesco
    Dasgupta, Basudeb
    Mirizzi, Alessandro
    Sen, Manibrata
    Sigl, Guenter
    PHYSICAL REVIEW LETTERS, 2019, 122 (09)
  • [10] Detecting fast neutrino flavor conversions with machine learning
    Abbar, Sajad
    Nagakura, Hiroki
    PHYSICAL REVIEW D, 2024, 109 (02)