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arXiv 0801.1110astro-ph
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z~2.3处K选半导体的近红外光谱测量:红移及其对宽带光度学研究的意义

A Near-Infrared Spectroscopic Survey of K-selected Galaxies at z~2.3: Redshifts and Implications for Broadband Photometric Studies

Mariska Kriek, Pieter G. van Dokkum, Marijn Franx, Garth D. Illingworth, Danilo Marchesini, Ryan Quadri, Gregory Rudnick, Edward N. Taylor, Natascha M. Forster … 展开作者

Mariska Kriek, Pieter G. van Dokkum, Marijn Franx, Garth D. Illingworth, Danilo Marchesini, Ryan Quadri, Gregory Rudnick, Edward N. Taylor, Natascha M. Forster Schreiber, Eric Gawiser, Ivo Labbe, Paulina Lira, Stijn Wuyts

摘要:

利用Gemini近红外光谱仪(GNIRS),我们完成了对MUSYC巡天中z~2.3的K亮星系的近红外光谱巡天。我们从所有36个观测到的星系的发射线或连续特征和形状推导出光谱红移。连续谱红移是由巴耳末/4000埃的破缺驱动的,并且在dz/(1+z)上的不确定度<0.019。我们使用这个独特的样本来确定,第一次,如何准确地红移和其他性质的大规模高红移星系可以单独从宽带测光数据确定。我们发现,在dz/(1+z)范围内,我们样本中星系的测光红移的系统误差为0.08,随机误差为0.13。采用优化模板和深度测光可以减小系统误差,但随机误差很难减小到5%以下。光谱导致显着改善的恒星星族参数的约束。对大多数量来说,这种改进是由更高的光谱分辨率和大大减少的红移不确定性所驱动的。诸如年龄、A_V、当前恒星形成速率和恒星形成历史等属性通常仅用宽带数据约束得很差。有趣的是,恒星质量和质光比是宽带数据中最稳定的参数。然而,测光研究可能高估了2<z<3的大质量星系的数量,从而低估了恒星质量密度的演化。最后,光谱支持我们之前的发现,即红色星系在z=2-3的星系群中占主导地位。

英文摘要:

Using the Gemini Near-InfraRed Spectrograph (GNIRS), we have completed a near-infrared spectroscopic survey for K-bright galaxies at z~2.3, selected from the MUSYC survey. We derived spectroscopic redshifts from emission lines or from continuum features and shapes for all 36 observed galaxies. The continuum redshifts are driven by the Balmer/4000 Angstrom break, and have an uncertainty in dz/(1+z) of <0.019. We use this unique sample to determine, for the first time, how accurately redshifts and other properties of massive high-redshift galaxies can be determined from broadband photometric data alone. We find that the photometric redshifts of the galaxies in our sample have a systematic error of 0.08 and a random error of 0.13 in dz/(1+z). The systematic error can be reduced by using optimal templates and deep photometry; the random error, however, will be hard to reduce below 5%. The spectra lead to significantly improved constraints for stellar population parameters. For most quantities this improvement is about equally driven by the higher spectral resolution and by the much reduced redshift uncertainty. Properties such as the age, A_V, current star formation rate, and the star formation history are generally very poorly constrained with broadband data alone. Interestingly stellar masses and mass-to-light ratios are among the most stable parameters from broadband data. Nevertheless, photometric studies may overestimate the number of massive galaxies at 2<z<3, and thus underestimate the evolution of the stellar mass density. Finally,the spectroscopy supports our previous finding that red galaxies dominate the high-mass end of the galaxy population at z=2-3.

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