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arXiv 2209.02538astro-ph.HEgr-qc
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广义相对论中子星合并模拟中的中微子输运

Neutrino transport in general relativistic neutron star merger simulations

Francois Foucart

摘要:

中子星-中子星和中子星-黑洞双星系统的数值模拟对于我们模拟由这些系统提供能量的引力波和电磁信号的能力起着重要的作用。这些模拟必须考虑到广泛的物理过程,包括广义相对论,磁流体力学和中微子辐射输运。后者对于理解许多合并所喷射出的物质的性质、喷射物中核反应提供动力的光学/红外信号以及喷射物对天体物理核合成的贡献尤为重要。然而,精确的中微子输运方程的演变,包括所有相关的物理过程仍然超出了我们目前的能力。在这篇综述中,我将讨论中微子模型在中子星合并及其合并后残余物的广义相对论模拟中的现状。我将重点介绍到目前为止在模拟中使用的三种主要类型的算法:泄漏、矩和蒙特卡罗方案。我将回顾每个方案的优点和局限性,以及各种中微子-物质相互作用,应包括在模拟。我们将看到,在过去十年中,中微子在合并模拟中的处理质量大大提高,但许多潜在的重要相互作用仍然难以在模拟中考虑(对湮灭,振荡,非弹性散射)。

英文摘要:

Numerical simulations of neutron star--neutron star and neutron star--black hole binaries play an important role in our ability to model gravitational wave and electromagnetic signals powered by these systems. These simulations have to take into account a wide range of physical processes including general relativity, magnetohydrodynamics, and neutrino radiation transport. The latter is particularly important in order to understand the properties of the matter ejected by many mergers, the optical/infrared signals powered by nuclear reactions in the ejecta, and the contribution of that ejecta to astrophysical nucleosynthesis. However, accurate evolutions of the neutrino transport equations that include all relevant physical processes remain beyond our current reach. In this review, I will discuss the current state of neutrino modeling in general relativistic simulations of neutron star mergers and of their post-merger remnants. I will focus on the three main types of algorithms used in simulations so far: leakage, moments, and Monte-Carlo scheme. I will review the advantages and limitations of each scheme, as well as the various neutrino-matter interactions that should be included in simulations. We will see that the quality of the treatment of neutrinos in merger simulations has greatly increased over the last decade, but also that many potentially important interactions remain difficult to take into account in simulations (pair annihilation, oscillations, inelastic scattering).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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