MEASURING STRUCTURAL PARAMETERS THROUGH STACKING GALAXY IMAGES

MEASURING STRUCTURAL PARAMETERS THROUGH STACKING GALAXY IMAGES
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通过叠加星系图像测量结构参数

DOI:
10.3847/0004-6256/152/6/201
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发表时间:
2016-10
影响因子:
5.3
通讯作者:
安芳霞
安芳霞
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
顾秋生;闻璋正;郭可欣;安芳霞

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高z星系的低表面亮度结构是理解星系结构演化的关键,而探测高z星系的低表面亮度结构仍然具有挑战性。图像叠加技术使我们能够测量探测极限以下的平均光剖面,并探测星系群的扩展结构。我们进行了模拟,以检查通过堆叠模型哈勃太空望远镜/高级相机的一组星系的Sérsic指数(n),有效半径(Re)和轴比(AR)的函数的图像的平均表面亮度轮廓的恢复。与模型星系的内禀平均轮廓相比,最好地拟合堆叠图像的径向轮廓的Sérsic轮廓被作为恢复的轮廓。我们的研究结果表明,在一般情况下,平均配置文件的结构参数可以通过堆叠,虽然系统的偏差需要进行校正时,传播的Re和AR计数。我们发现,Sérsic指数略有高估和Re被低估,因为堆叠的图像似乎更紧凑,由于倾斜星系的存在; Re的传播偏差的堆叠配置文件有一个更高的Sérsic指数。我们强调,通过叠加的结构参数的测量应考虑到这些偏差。我们估计的偏差恢复的结构参数从堆栈的星系时,样本的分布,AR和n看到在本地星系。
It remains challenging to detect the low surface brightness structures of faint high-z galaxies, which are key to understanding the structural evolution of galaxies. The technique of image stacking allows us to measure the averaged light profile beneath the detection limit and probe the extended structure of a group of galaxies. We carry out simulations to examine the recovery of the averaged surface brightness profile through stacking model Hubble Space Telescope/Advanced Camera for Surveys images of a set of galaxies as functions of the Sérsic index (n), effective radius (Re) and axis ratio (AR). The Sérsic profile best fitting the radial profile of the stacked image is taken as the recovered profile, in comparison with the intrinsic mean profile of the model galaxies. Our results show that, in general, the structural parameters of the mean profile can be properly determined through stacking, though systematic biases need to be corrected when spreads of Re and AR are counted. We find that the Sérsic index is slightly overestimated and Re is underestimated at because the stacked image appears to be more compact due to the presence of inclined galaxies; the spread of Re biases the stacked profile to have a higher Sérsic index. We stress that the measurements of structural parameters through stacking should take these biases into account. We estimate the biases in the recovered structural parameters from stacks of galaxies when the samples have distributions of , AR and n seen in local galaxies.
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