论文标题
从化学演化模型预测星际辐射场
Predicting interstellar radiation fields from chemical evolution models
论文作者
论文摘要
我们基于两个类似银河系的星系(MWG)的化学演化模型,对星际辐射场(ISRF)进行了自洽的预测,从极端紫外线(EUV)到亚MM范围。为此,我们开发了一种称为MixClask的新工具,包括气体发射,吸收和从光电离密码中散射到蒙特卡洛辐射传输代码裙中。两种算法都是迭代的,直到ISM收敛的物理性质为止。我们设计了第一个测试,让人联想到HII区域,并且发现MixClask的结果与球形对称的多云模拟非常吻合。基于化学演化代码的两个MWG模型都均与我们银河系的ISRF中报道的先前经验模型具有广泛的结果一致,尽管它们系统地低估了中红外发射。我们还发现在整个紫外线范围内我们的两个模型之间存在显着差异,在以前的ISRF模型中未充分探索。这些结果表明,我们将辐射转移与化学演化模型相结合的方法的可行性:预测能力增加,并且获得的星际辐射场对模型参数提供了进一步的限制。 Python源代码实现我们的方法可在https://github.com/marioromeroc/mixclask上公开获得。
We present a self-consistent prediction of the interstellar radiation field (ISRF), from the extreme ultraviolet (EUV) to sub-mm range, based on two chemical evolution models of a Milky Way-like galaxy (MWG). To this end, we develop a new tool called Mixclask to include gas emission, absorption and scattering from the photoionization code Cloudy into the Monte Carlo radiative transfer code Skirt. Both algorithms are invoked iteratively, until the physical properties of the ISM converge. We have designed a first test, reminiscent of a HII region, and we find that the results of Mixclask are in good agreement with a spherically symmetric Cloudy simulation. Both MWG models based on chemical evolution codes give results broadly consistent with previous empirical models reported in the literature for the ISRF of our Galaxy, albeit they systematically underestimate the mid-infrared emission. We also find significant differences between our two models in the whole ultraviolet range, not fully explored in previous ISRF models. These results show the feasibility of our method of combining radiative transfer with chemical evolution models: there is increased predictive power and the interstellar radiation field obtained provides further constraints on the model parameters. Python source code to implement our method is publicly available at https://github.com/MarioRomeroC/Mixclask.