Spectral synthesis techniques for supernovae and kilonovae.

Anders Jerkstrand
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Abstract

Supernovae (SNe) and kilonovae (KNe) are the most violent explosions in cosmos, signalling the destruction of a massive star (core-collapse SN), a white dwarf (thermonuclear SN) and a neutron star (KN), respectively. The ejected debris in these explosions is believed to be the main cosmic source of most elements in the periodic table. However, decoding the spectra of these transients is a challenging task requiring sophisticated spectral synthesis modelling. Here, the techniques for such modelling is reviewed, with particular focus on the computational aspects. We build from a historical review of how methodologies evolved from modelling of stellar winds, to supernovae, to kilonovae, studying various approximations in use for the central physical processes. Similarities and differences in the numeric schemes employed by current codes are discussed, and the path towards improved models is laid out.

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Abstract Image

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超新星和千新星的光谱合成技术。
超新星(SNe)和千新星(KNe)是宇宙中最猛烈的爆炸,分别标志着一颗大质量恒星(核心坍缩SN)、一颗白矮星(热核SN)和一颗中子星(KN)的毁灭。在这些爆炸中喷出的碎片被认为是元素周期表中大多数元素的主要宇宙来源。然而,解码这些瞬态的光谱是一项具有挑战性的任务,需要复杂的光谱合成建模。在这里,对这种建模的技术进行了回顾,特别侧重于计算方面。我们从历史回顾的方法是如何演变的,从恒星风的建模,到超新星,再到千新星,研究各种近似用于中心物理过程。讨论了现行规范所采用的数值格式的异同,并提出了改进模型的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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