arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2201.03579astro-ph.GA
收藏

成象和恒星运动学在识别星系合并残余物中的组合和各自的作用

The combined and respective roles of imaging and stellar kinematics in identifying galaxy merger remnants

Connor Bottrell, Maan Hani, Hossen Teimoorinia, David R. Patton, Sara L. Ellison

摘要:

确定合并在星系演化中的作用的核心挑战之一是在观测中选择纯粹和完整的合并样本。特别是,虽然可以通过光谱标准相对容易地获得大的和相当纯净的相互作用的星系对样本,但合并后合并残留物的自动选择仅限于残留物的物理特性。此外,这种选择主要侧重于成像数据,而运动学数据可为查明合并残余物提供补充依据。因此,我们研究合并残留物的形态学和运动学特征的理论效用,在区分星系合并残留物从其他星系。深分类模型进行校准和评价使用理想化的合成图像和视线恒星速度图的异质人口的星系和合并残余TNG 100宇宙流体动力学模拟。我们发现,即使是理想化的恒星运动学数据具有有限的效用相比,成像和下执行$2.1\%\pm0.5\%$的完整性和$4.7\%\pm0.4\%$纯度为我们的基准模型架构。结合成像和恒星运动学提供了一个小的完整性提高($1.8\%\pm0.4\%$,相比$92.7\%\pm0.2\%$从单独的成像),但没有改变纯度($0.1\%\pm0.3\%$的改善相比,$92.7\%\pm0.2\%$,评估合并残余和非残余控制星系的数量相等)。所有模型的分类精度是特别敏感的物理同伴在分离$\lesssim40$ kpc和时间,因为合并。两者合计,我们的研究结果表明,恒星的运动学数据几乎没有提供恭维的成像合并残留物识别在一个异质的星系人口。

英文摘要:

One of the central challenges to establishing the role of mergers in galaxy evolution is the selection of pure and complete merger samples in observations. In particular, while large and reasonably pure interacting galaxy pair samples can be obtained with relative ease via spectroscopic criteria, automated selection of post-coalescence merger remnants is restricted to the physical characteristics of remnants alone. Furthermore, such selection has predominantly focused on imaging data -- whereas kinematic data may offer a complimentary basis for identifying merger remnants. Therefore, we examine the theoretical utility of both the morphological and kinematic features of merger remnants in distinguishing galaxy merger remnants from other galaxies. Deep classification models are calibrated and evaluated using idealized synthetic images and line-of-sight stellar velocity maps of a heterogeneous population of galaxies and merger remnants from the TNG100 cosmological hydrodynamical simulation. We show that even idealized stellar kinematic data has limited utility compared to imaging and under-performs by $2.1\%\pm0.5\%$ in completeness and $4.7\%\pm0.4\%$ in purity for our fiducial model architecture. Combining imaging and stellar kinematics offers a small boost in completeness (by $1.8\%\pm0.4\%$, compared to $92.7\%\pm0.2\%$ from imaging alone) but no change in purity ($0.1\%\pm0.3\%$ improvement compared to $92.7\%\pm0.2\%$, evaluated with equal numbers of merger remnant and non-remnant control galaxies). Classification accuracy of all models is particularly sensitive to physical companions at separations $\lesssim40$ kpc and to time-since-coalescence. Taken together, our results show that the stellar kinematic data has little to offer in compliment to imaging for merger remnant identification in a heterogeneous galaxy population.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑