Type IIn Supernova Light Curves Powered by Forward and Reverse Shocks

Type IIn Supernova Light Curves Powered by Forward and Reverse Shocks
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DOI:
10.3847/1538-4357/ab40ba
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发表时间:
2019-07
期刊:
The Astrophysical Journal
影响因子:
--
通讯作者:
D. Tsuna;K. Kashiyama;T. Shigeyama
D. Tsuna;K. Kashiyama;T. Shigeyama
中科院分区:
其他
文献类型:
--
作者:
D. Tsuna;K. Kashiyama;T. Shigeyama

文献摘要

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我们提出了一个由超新星喷出物与星周介质碰撞提供动力的IIn型超新星的测辐射热光曲线模型。我们估算了反向激波和正向激波时抛射动能向辐射的转换效率,发现密度对比度越大,效率就越高。反向激波的发射可以在很长一段时间内保持较高的效率,并且在光曲线的后期变得重要。我们首先建立了一个半解析模型,该模型适用于光子在激波区的扩散时间可以忽略的情况下,光曲线的晚期。我们进一步开发了将这些物理过程合并到光曲线中的辐射传输模拟。数值计算预测了早期阶段的光曲线,这可以通过现在和未来的短节奏调查来检验。我们将我们的模型与IIn超新星2005ip观测得到的测辐射热光曲线进行了比较。由于前向激波效率的降低,我们从我们的模型中发现,在风速为100Km的S−1的情况下,前体恒星的质量损失率比以前使用简单的效率假设的工作高出一个数量级。这突出了在从观测中提取物理参数时考虑这两个组成部分的重要性。
We present a bolometric light-curve model of Type IIn supernovae powered by supernova ejecta colliding with a circumstellar medium. We estimate the conversion efficiency of the ejecta’s kinetic energy to radiation at the reverse and forward shocks and find that a large density contrast makes a difference in the efficiency. The emission from the reverse shock can maintain high efficiency for a long time, and becomes important at the late phase of the light curve. We first construct a semi-analytical model that is applicable to the late phase of the light curve when the diffusion time of photons in the shocked region becomes negligible. We further develop radiation transfer simulations that incorporate these physical processes into the light curve. The numerical calculations predict light curves at early phases, which are testable by present and future short-cadence surveys. We compare our model with the bolometric light curve constructed from observations for a type IIn supernova 2005ip. Due to the reduced efficiency at the forward shock, we find from our model that the mass-loss rate of the progenitor star was for a wind velocity of 100 km s−1, an order of magnitude higher compared to previous work that used simple assumptions of the efficiency. This highlights the importance of taking these two components into account when extracting the physical parameters from observations.