4.4 Article

The impact of different neutrino transport methods on multidimensional core-collapse supernova simulations

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1361-6471/aaed51

关键词

supernovae; neutrinos; hydrodynamics

资金

  1. Ministry of Science and Technology of Taiwan [107-2112-M-007-032-MY3]
  2. NASA through Hubble Fellowship grant - Space Telescope Science Institute [51 344.001-A]
  3. NASA [NAS 5-26555]
  4. US Department of Energy, Office of Science, Office of Nuclear Physics [DE-SC0015904, DE-SC0017955]
  5. Chandra x-ray Observatory [TM7-18005X]
  6. INFN initiative 'High Performance data Network' - CIPE
  7. Helmholtz University Young Investigator grant [VH-NG-825]
  8. Deutsche Forschungsgemeinschaft [SFB 1245]
  9. SNIC (Swedish National Infrastructure for Computing) through HPC2N [SNIC 2017/1-259]

向作者/读者索取更多资源

Neutrinos play a crucial role in the core-collapse supernova (CCSN) explosion mechanism. The requirement of accurately calculating the transport of neutrinos makes simulations of the CCSN mechanism extremely challenging and computationally expensive. Historically, this stiff challenge has been met by making approximations to the full transport equation. In this work, we compare CCSN simulations in one- and two-dimensions with three approximate neutrino transport schemes, each implemented in the FLASH simulation framework. We compare a two-moment M1 scheme with an analytic closure (M1), the isotropic diffusion source approximation (IDSA), and the advanced spectral leakage method. We identify and discuss the advantages and disadvantages of each scheme. For each approximate transport scheme, we use identical grid setups, hydrodynamics, and gravity solvers to investigate the transport effects on supernova shock dynamics and neutrino quantities. We find that the transport scheme has a small effect on the evolution of protoneutron star (PNS) radius, PNS mass, and the mass accretion rate. The neutrino luminosities, mean energies, and shock radii have a -10%-20% quantitative difference but the overall qualitative trends are fairly consistent between all three approximations. We find larger differences in the gain region properties, including the gain region mass and the net heating rate in the gain region, as well as the strength of PNS convection in the core. We investigate the progenitor, nuclear equation of state, and stochastic perturbation dependence of our simulations and find similar magnitudes of impact on key quantities. We also compare the computational expense of the various approximations.

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