Towards an understanding of the resolution dependence of Core-Collapse Supernova simulations

Hiroki Nagakura, Adam Burrows, David Radice, David Vartanyan

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Using our new state-of-the-art core-collapse supernova (CCSN) code FORNAX, we explore the dependence upon spatial resolution of the outcome and character of three-dimensional (3D) supernova simulations. For the same 19 M☉ progenitor star, energy and radial binning, neutrino microphysics, and nuclear equation of state, changing only the number of angular bins in the θ and φ directions, we witness that our lowest resolution 3D simulation does not explode. However, when jumping progressively up in resolution by factors of two in each angular direction on our spherical-polar grid, models then explode, and explode slightly more vigorously with increasing resolution. This suggests that there can be a qualitative dependence of the outcome of 3D CCSN simulations upon spatial resolution. The critical aspect of higher spatial resolution is the adequate capturing of the physics of neutrino-driven turbulence, in particular its Reynolds stress. The greater numerical viscosity of lower resolution simulations results in greater drag on the turbulent eddies that embody turbulent stress, and, hence, in a diminution of their vigor. Turbulent stress not only pushes the temporarily stalled shock further out, but bootstraps a concomitant increase in the deposited neutrino power. Both effects together lie at the core of the resolution dependence we observe.

Original languageEnglish (US)
Pages (from-to)4622-4637
Number of pages16
JournalMonthly Notices of the Royal Astronomical Society
Volume490
Issue number4
DOIs
StatePublished - Dec 1 2019

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Keywords

  • Supernovae: general

Fingerprint Dive into the research topics of 'Towards an understanding of the resolution dependence of Core-Collapse Supernova simulations'. Together they form a unique fingerprint.

  • Cite this