论文标题

超新星残留G43.9+1.6的分子云:关联和非相关

Molecular Clouds Surrounding Supernova Remnant G43.9+1.6: Associated and Non-associated

论文作者

Zhou, Xin, Su, Yang, Yang, Ji, Chen, Yang, Xu, Ye, Chen, Xuepeng, Zhang, Shaobo

论文摘要

许多超新星残留物(SNR)被认为是在分子环境中进化的,但是SNR和分子云之间的关联通常不清楚。由于意识到这种模棱两可的情况,我们通过CO线观测报告了对SNR G43.9+1.6的分子环境的研究。我们在不同速度下研究了SNR和MC之间的相关性,并发现了两个速度组件,即$ \ sim $ 5 km s $ s $^{ - 1} $和$ \ sim $ \ sim $ 50 km s $ s $^{ - 1} $速度组件,显示与remnant的空间相关性。但是,对于$ \ sim $ 5 km s $^{ - 1} $速度组件,找不到动态障碍的动态证据。在$ \ sim $ 5 km s $^{ - 1} $速度组件的距离处,近距离或远距离,派生的物理参数也是不合理的。我们得出的结论是,SNR与$ \ sim $ 5 km s $^{ - 1} $速度组件无关,而它们的空间相关性只是机会相关。对于$ \ sim $ 50 km s $^{ - 1} $速度组件,动态障碍证据以及空间相关性,表明它与SNR相关联。我们发现,从分布在残留物边界的分子团中提取的所有CO光谱都带有宽阔的成分,可以通过高斯功能拟合。通过进一步的分析,我们建议SNR在大约3.1 kpc的接近运动距离距离处。

Many supernova remnants (SNRs) are considered to evolve in molecular environments, but the associations between SNRs and molecular clouds (MCs) are often unclear. Being aware of such ambiguous case, we report our study on the molecular environment towards the SNR G43.9+1.6 by CO line observations. We investigated the correlations between the SNR and MCs at different velocities, and found two velocity components, i.e. $\sim$5 km s$^{-1}$ and $\sim$50 km s$^{-1}$ velocity components, showing spatial correlations with the remnant. However, no dynamical evidence of disturbance was found for the $\sim$5 km s$^{-1}$ velocity component. At the distance of the $\sim$5 km s$^{-1}$ velocity component, either near or far distance, the derived physical parameters are unreasonable too. We conclude that the SNR is not associated with the $\sim$5 km s$^{-1}$ velocity component, and their spatial correlation is just a chance correlation. For the $\sim$50 km s$^{-1}$ velocity component, dynamical evidence of disturbances, as well as the spatial correlation, indicate that it is associated with the SNR. We found that all the CO spectra extracted from the molecular clumps distributed along the border of the remnant are with broadened components presented, which can be fitted by Gaussian functions. By further analysis, we suggest that the SNR is at a near kinematic distance of about 3.1 kpc.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源