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arXiv 2201.01865astro-ph.HE
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现实Kilonova近距离

Realistic Kilonova Up Close

Alexandra Ruth Stewart, Li-Ta Lo, Oleg Korobkin, Irina Sagert, Julien Loiseau, Hyun Lim, Mark Alexander Kaltenborn, Christopher Michael Mauney, Jonah Maxwell Miller

摘要:

中子星合并是宇宙灾难,产生了一些最具活力的观测现象:短伽马射线暴,引力波信号和千新星。后者是光学瞬变现象,由破裂的中子星的富含中子的喷出物减压时合成的放射性核素提供动力。我们使用合并后的吸积盘风的模拟数据模拟减压阶段。我们使用平滑粒子流体动力学与现实的核加热模型的膨胀在多个尺度上,从最初的几千公里到数十亿公里。然后,我们渲染一个kilonova喷出物的现实图像,因为它会出现在附近的观察者。这是第一次使用最先进的吸积盘模拟、核物理和原子物理学的输入进行这种可视化。在我们的模型中的体绘制计算的物理不透明度的基础上的不透明度传递函数,显着变化的不均匀性的中子丰富的喷出物。其他物理量,如温度或电子分数可以使用独立的颜色传递函数可视化。我们讨论了几个困难的ParaView应用程序,我们在可视化过程中遇到的,并给出了我们的解决方案和解决方法,可用于未来的改进说明。

英文摘要:

Neutron star mergers are cosmic catastrophes that produce some of the most energetic observed phenomena: short gamma-ray bursts, gravitational wave signals, and kilonovae. The latter are optical transients, powered by radioactive nuclides which are synthesized when the neutron-rich ejecta of a disrupted neutron star undergoes decompression. We model this decompression phase using data from simulations of post-merger accretion disk winds. We use smoothed particle hydrodynamics with realistic nuclear heating to model the expansion over multiple scales, from initially several thousand km to billions of km. We then render a realistic image of a kilonova ejecta as it would appear for a nearby observer. This is the first time such a visualization is performed using input from state-of-the-art accretion disk simulations, nuclear physics and atomic physics. The volume rendering in our model computes an opacity transfer function on the basis of the physical opacity, varying significantly with the inhomogeneity of the neutron richness in the ejecta. Other physical quantities such as temperature or electron fraction can be visualized using an independent color transfer function. We discuss several difficulties with the ParaView application that we encountered during the visualization process, and give descriptions of our solutions and workarounds which could be used for future improvements.

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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