Probing bursty star formation by cross-correlating extragalactic background light and galaxy surveys
Probing bursty star formation by cross-correlating extragalactic background light and galaxy surveys
复制标题
通过河外背景光和星系调查的互相关来探测突发恒星的形成
DOI：
10.1093/mnras/stad2000
复制
发表时间：
2023
影响因子：
4.8
通讯作者：
Faucher-Giguère, Claude-André
中科院分区：
文献类型：
--
作者：
Sun, Guochao;Lidz, Adam;Faisst, Andreas L.;Faucher-Giguère, Claude-André
了解恒星形成率（SFR）的变化以及它如何依赖于星系的物理特性对于开发和测试星系形成理论非常重要。我们研究河外背景光（EBL）的统计测量如何阐明这一主题，并补充基于单个星系观测的传统方法。使用星系演化的半经验模型和对不同恒星形成时间尺度（例如H α和紫外连续光度）敏感的恒星形成率指标，我们表明，通过恒星形成率指标的联合概率分布（即二元条件光度函数）量化的恒星形成率变异性，可以通过EBL和EBL的深近红外图之间的互相关来表征为星系质量和红移的函数。星系分布。例如，我们考虑将即将推出的 EBL SPHEREx 地图与来自鲁宾天文台遗产时空调查的星系样本结合起来。我们证明，对于低至 的质量完整的星系样本，它们在天空分数 offsky∼ 0.5 上的互相关可以将联合恒星形成率指示符分布限制在高达 z∼ 2.5 的高显着性水平。这些约束不仅允许区分不同恒星形成率变异性的模型，而且还提供了独特的机会来研究需要大量统计数据（例如环境影响）的物理机制。研究的互相关性说明了结合宇宙学调查来提取单独从每个数据集中无法获取的信息的力量，而探测的大型星系群捕获了集合平均属性，超出了对单个星系的目标观测的范围。
Understanding the star formation rate (SFR) variability and how it depends on physical properties of galaxies is important for developing and testing the theory of galaxy formation. We investigate how statistical measurements of the extragalactic background light (EBL) can shed light on this topic and complement traditional methods based on observations of individual galaxies. Using semi-empirical models of galaxy evolution and SFR indicators sensitive to different star formation time-scales (e.g. H α and ultraviolet continuum luminosities), we show that the SFR variability, quantified by the joint probability distribution of the SFR indicators (i.e. the bivariate conditional luminosity function), can be characterized as a function of galaxy mass and redshift through the cross-correlation between deep, near-infrared maps of the EBL and galaxy distributions. As an example, we consider combining upcoming SPHEREx maps of the EBL with galaxy samples from Rubin Observatory Legacy Survey of Space and Time. We demonstrate that their cross-correlation over a sky fraction offsky∼ 0.5 can constrain the joint SFR indicator distribution at high significance up toz∼ 2.5 for mass-complete samples of galaxies down to. These constraints not only allow models of different SFR variability to be distinguished, but also provide unique opportunities to investigate physical mechanisms that require large number statistics such as environmental effects. The cross-correlations investigated illustrate the power of combining cosmological surveys to extract information inaccessible from each data set alone, while the large galaxy populations probed capture ensemble-averaged properties beyond the reach of targeted observations towards individual galaxies.