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天体物理学 > 星系的天体物理学

arXiv:2312.00300 (astro-ph)
[提交于 2023年12月1日 ]

标题: 使用DESI早期数据识别的大量极端金属贫乏星系$z<1$

标题: A Large Sample of Extremely Metal-poor Galaxies at $z<1$ Identified from the DESI Early Data

Authors:Hu Zou, Jipeng Sui, Amélie Saintonge, Dirk Scholte, John Moustakas, Malgorzata Siudek, Arjun Dey, Stephanie Juneau, Weijian Guo, Rebecca Canning, J. Aguilar, S. Ahlen, D. Brooks, T. Claybaugh, K. Dawson, A. de la Macorra, P. Doel, J. E. Forero-Romero, S. Gontcho A Gontcho, K. Honscheid, M. Landriau, L. Le Guillou, M. Manera, A. Meisner, R. Miquel, Jundan Nie, C. Poppett, M. Rezaie, G. Rossi, E. Sanchez, M. Schubnell, H. Seo, G. Tarle, Zhimin Zhou, Siwei Zou
摘要: Extremely metal-poor galaxies (XMPGs) at relatively low redshift are excellent laboratories for studying galaxy formation and evolution in the early universe. Much effort has been spent on identifying them from large-scale spectroscopic surveys or spectroscopic follow-up observations. Previous work has identified a few hundred XMPGs. In this work, we obtain a large sample of 223 XMPGs at $z<1$ from the early data of the Dark Energy Spectroscopic Instrument (DESI). The oxygen abundance is determined using the direct $T_{\rm e}$ method based on the detection of the [O III]$\lambda$4363 line. The sample includes 95 confirmed XMPGs based on the oxygen abundance uncertainty; remaining 128 galaxies are regarded as XMPG candidates. These XMPGs are only 0.01% of the total DESI observed galaxies. Their coordinates and other proprieties are provided in the paper. The most XMPG has an oxygen abundance of $\sim 1/34 Z_{\odot}$, stellar mass of about $1.5\times10^7 M_{\odot}$ and star formation rate of 0.22 $M_{\odot}$ yr$^{-1}$. The two most XMPGs present distinct morphologies suggesting different formation mechanisms. The local environmental investigation shows that XMPGs preferentially reside in relatively low-density regions. Many of them fall below the stellar mass-metallicity relations (MZRs) of normal star-forming galaxies. From a comparison of the MZR with theoretical simulations, it appears that XMPGs are good analogs to high-redshift star-forming galaxies. The nature of these XMPG populations will be further investigated in detail with larger and more complete samples from the on-going DESI survey.
摘要: Extremely metal-poor galaxies (XMPGs) at relatively low redshift are excellent laboratories for studying galaxy formation and evolution in the early universe. Much effort has been spent on identifying them from large-scale spectroscopic surveys or spectroscopic follow-up observations. Previous work has identified a few hundred XMPGs. In this work, we obtain a large sample of 223 XMPGs at $z<1$ from the early data of the Dark Energy Spectroscopic Instrument (DESI). The oxygen abundance is determined using the direct $T_{\rm e}$ method based on the detection of the [O III]$\lambda$4363 line. The sample includes 95 confirmed XMPGs based on the oxygen abundance uncertainty; remaining 128 galaxies are regarded as XMPG candidates. These XMPGs are only 0.01% of the total DESI observed galaxies. Their coordinates and other proprieties are provided in the paper. The most XMPG has an oxygen abundance of $\sim 1/34 Z_{\odot}$, stellar mass of about $1.5\times10^7 M_{\odot}$ and star formation rate of 0.22 $M_{\odot}$ yr$^{-1}$. The two most XMPGs present distinct morphologies suggesting different formation mechanisms. The local environmental investigation shows that XMPGs preferentially reside in relatively low-density regions. Many of them fall below the stellar mass-metallicity relations (MZRs) of normal star-forming galaxies. From a comparison of the MZR with theoretical simulations, it appears that XMPGs are good analogs to high-redshift star-forming galaxies. The nature of these XMPG populations will be further investigated in detail with larger and more complete samples from the on-going DESI survey.
评论: 接受发表于《天体物理学期刊》(ApJ)
主题: 星系的天体物理学 (astro-ph.GA)
引用方式: arXiv:2312.00300 [astro-ph.GA]
  (或者 arXiv:2312.00300v1 [astro-ph.GA] 对于此版本)
  https://doi.org/10.48550/arXiv.2312.00300
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来自: Hu Zou [查看电子邮件]
[v1] 星期五, 2023 年 12 月 1 日 02:31:50 UTC (1,823 KB)
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