论文标题
伽马射线蒙特卡洛辐射转移的新的多功能代码
A New Versatile Code for Gamma-Ray Monte-Carlo Radiative Transfer
论文作者
论文摘要
正在进行的MEV望远镜（例如Integ/spi和Fermi/GBM），以及提议的望远镜，包括最近接受的COSI和E-ASTROGAM和AMEGO任务，还提供了另一个理解瞬变的窗口。它们的信号包含有关恒星爆炸机制及其相应的短寿命放射性同位素的核合成的信息。这增加了需要辐射传输代码，该代码可能有效地探索了不同类型的天体物理$γ$ ray来源及其对模型参数和输入物理的依赖。鉴于这一点，我们在Python中介绍了新的蒙特卡罗辐射转移代码。该代码合成了$γ$ - 射线光谱和光曲线，适用于建模超新星弹射器，包括C+O Novae，O+Ne Novae，IA型和核心散射超新星。我们广泛测试代码的重现与分析模型一致的结果。我们还将结果与文献中的类似模型进行了比较，并讨论了我们的代码如何取决于选定的输入物理和设置。
Ongoing MeV telescopes such as INTEGRAL/SPI and Fermi/GBM, and proposed telescopes including the recently accepted COSI and the e-ASTROGAM and AMEGO missions, provide another window in understanding transients. Their signals contain information about the stellar explosion mechanisms and their corresponding nucleosynthesis of short-lived radioactive isotopes. This raises the need of a radiative transfer code which may efficiently explore different types of astrophysical $γ$-ray sources and their dependence on model parameters and input physics. In view of this, we present our new Monte-Carlo Radiative Transfer code in Python. The code synthesizes the $γ$-ray spectra and light curves suitable for modeling supernova ejecta, including C+O novae, O+Ne novae, Type Ia and core-collapse supernovae. We test the code extensively for reproducing results consistent with analytic models. We also compare our results with similar models in the literature and discuss how our code depends on selected input physics and setting.
