恒星形成的猝灭
Quenching of Star Formation
摘要：
在过去的十年里，我们已经看到了光谱星系调查的规模和质量的巨大增长，无论是在低和高红移。分析大部分星系光谱的新统计技术现在比传统的基于指数的方法更受欢迎。在这里，我们将回顾一个新的鲁棒和迭代主成分分析（PCA）算法，它解决了经典PCA的几个常见问题。应用于VIMOS VLT深巡天（VVDS）和Sloan数字巡天（SDSS）的星系4000 AA破裂区，给出了新的高信噪比光谱指数，很容易解释最近的恒星形成历史。特别是，我们确定了一个样本的后星暴星系在z~0.7和z~0.07。我们第一次量化后星爆星系的重要性，与丰富的气体主要合并的后代，为建设红色序列。最后，我们将其与来自Millennium Run半分析模型的新的低红移和高红移“模拟光谱测量”进行比较。
英文摘要：
In the last decade we have seen an enormous increase in the size and quality of spectroscopic galaxy surveys, both at low and high redshift. New statistical techniques to analyse large portions of galaxy spectra are now finding favour over traditional index based methods. Here we will review a new robust and iterative Principal Component Analysis (PCA) algorithm, which solves several common issues with classic PCA. Application to the 4000AA break region of galaxies in the VIMOS VLT Deep Survey (VVDS) and Sloan Digital Sky Survey (SDSS) gives new high signal-to-noise ratio spectral indices easily interpretable in terms of recent star formation history. In particular, we identify a sample of post-starburst galaxies at z~0.7 and z~0.07. We quantify for the first time the importance of post-starburst galaxies, consistent with being descendants of gas-rich major mergers, for building the red sequence. Finally, we present a comparison with new low and high redshift "mock spectroscopic surveys" derived from a Millennium Run semi-analytic model.
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