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arXiv 2209.00902astro-ph.GA
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KMTNet邻近星系巡天:概述和巡天说明

KMTNet Nearby Galaxy Survey: Overview and a Survey Description

Woowon Byun, Yun-Kyeong Sheen, Kwang-Il Seon, Luis C. Ho, Joon Hyeop Lee, Hyunjin Jeong, Sang Chul Kim, Byeong-Gon Park, Yongseok Lee, Sang-Mok Cha, Minjin Kim

摘要:

最近,人们越来越需要进行深度成像调查,通过检查合并和吸积的残余物来详细调查星系的质量组装历史,这两者都具有非常低的表面亮度(LSB)。此外,在LSB区域,如星系外盘,恒星形成的性质也是一个有趣的话题,在理解磁盘演化的物理机制。为了解决这些问题,本研究进行了一项调查项目,称为韩国微透镜望远镜网络(KMTNet)附近星系调查,使用KMTNet构建南半球附近星系的深度成像数据集。它提供了深视场和宽视场的图像,视场为$\sim$ 12度$^2$,适用于13个邻近星系,这些星系来自于伯杰-欧文星系巡天目录,采用光学宽带($BRI$)和H $α$窄带。通过专门的数据简化,发现10个$^{\prime\prime}\times10^{\prime\prime}$盒中的表面亮度极限在光学宽带中达到$μ_{1σ}\sim29$-31 mag arcsec $^{-2}$,在H $α$窄带中达到$f_{1σ}\sim1$ - $2\times 10^{-18}$ erg s $^{-1}$ cm $^{-2}$ arcsec $^{-2}$。最后,本文介绍了该数据集的几种可能的科学应用。

英文摘要:

Recently, there has been an increasing demand for deep imaging surveys to investigate the history of the mass assembly of galaxies in detail by examining the remnants of mergers and accretions, both of which have very low surface brightness (LSB). In addition, the nature of star formation in LSB regions, such as galaxy outer disks, is also an intriguing topic in terms of understanding the physical mechanisms of disk evolution. To address these issues, this study conducts a survey project, called the Korea Microlensing Telescope Network (KMTNet) Nearby Galaxy Survey to construct a deep imaging data set of nearby galaxies in the southern hemisphere using KMTNet. It provides deep and wide-field images with a field-of-view of $\sim$12 deg$^2$ for 13 nearby galaxies drawn from the Carnegie-Irvine Galaxy Survey catalog, in optical broadbands ($BRI$) and an H$α$ narrowband. Through a dedicated data reduction, the surface brightness limit in 10$^{\prime\prime}\times10^{\prime\prime}$ boxes was found to reach as deep as $μ_{1σ}\sim29$-31 mag arcsec$^{-2}$ in the optical broadbands and $f_{1σ}\sim1$-$2\times 10^{-18}$ erg s$^{-1}$ cm$^{-2}$ arcsec$^{-2}$ in the H$α$ narrowband. To conclude the paper, several possible scientific applications for this data set are described.

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。

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