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arXiv 0802.4094astro-ph
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确认z~2.3的大质量静止星系的显着致密性:早型星系不是在简单的整体坍缩中形成的

Confirmation of the remarkable compactness of massive quiescent galaxies at z~2.3: early-type galaxies did not form in a simple monolithic collapse

Pieter van Dokkum, Marijn Franx, Mariska Kriek, Bradford Holden, Garth Illingworth, Daniel Magee, Rychard Bouwens, Danilo Marchesini, Ryan Quadri, Greg Rudnick,… 展开作者

Pieter van Dokkum, Marijn Franx, Mariska Kriek, Bradford Holden, Garth Illingworth, Daniel Magee, Rychard Bouwens, Danilo Marchesini, Ryan Quadri, Greg Rudnick, Edward Taylor, Sune Toft

摘要:

Kriek等人(2006)使用深近红外光谱发现,在z = 2.3的大质量星系中,约有45%已经演化出恒星星族,并且很少或根本没有恒星形成。在这里,我们确定这些静止星系的大小使用深,高分辨率的图像与HST/NIC 2和激光导星辅助凯克/AO。考虑到它们的恒星质量中值是1.7x10^11太阳质量,这些星系非常小,有效半径中值是0.9 kpc。附近宇宙中类似质量的星系大小约为5 kpc,平均恒星密度比z~2.3星系低两个数量级。这些结果扩展了早期在z~1.5的工作,并证实了以前在z>2的研究,这些研究缺乏足够分辨率的光谱红移和成像来分辨星系。我们的研究结果表明,完全组装的早型星系在z~2.3时最多占K选择的静止星系总数的10%,有效地排除了它们形成的简单整体模型。星系必须在z~2.3之后通过干合并或其他过程显着演化,与分层模型的预测一致。

英文摘要:

Using deep near-infrared spectroscopy Kriek et al. (2006) found that ~45% of massive galaxies at z~2.3 have evolved stellar populations and little or no ongoing star formation. Here we determine the sizes of these quiescent galaxies using deep, high-resolution images obtained with HST/NIC2 and laser guide star-assisted Keck/AO. Considering that their median stellar mass is 1.7x10^11 Solar masses the galaxies are remarkably small, with a median effective radius of 0.9 kpc. Galaxies of similar mass in the nearby Universe have sizes of ~5 kpc and average stellar densities which are two orders of magnitude lower than the z~2.3 galaxies. These results extend earlier work at z~1.5 and confirm previous studies at z>2 which lacked spectroscopic redshifts and imaging of sufficient resolution to resolve the galaxies. Our findings demonstrate that fully assembled early-type galaxies make up at most ~10% of the population of K-selected quiescent galaxies at z~2.3, effectively ruling out simple monolithic models for their formation. The galaxies must evolve significantly after z~2.3, through dry mergers or other processes, consistent with predictions from hierarchical models.

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