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Spitzer Constraints on the Stellar Populations of Lyα-Emitting Galaxies at z = 3.1

机译:在z = 3.1时,Lyα发射星系的恒星种群上的斯皮策约束。

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We investigate the stellar populations of a sample of 162 Lyα-emitting galaxies (LAEs) at z = 3.1 in the Extended Chandra Deep Field South, using deep Spitzer IRAC data available from the GOODS and SIMPLE surveys to derive reliable stellar population estimates. We divide the LAEs according to their rest-frame near-IR luminosities into IRAC-detected and IRAC-undetected samples. About 70% of the LAEs are undetected in 3.6 μm down to m3.6 = 25.2 AB. Stacking analysis reveals that the average stellar population of the IRAC-undetected sample has an age of ~200 Myr and a mass of ~3 × 108 M☉, consistent with the expectation that LAEs are mostly young and low-mass galaxies. On the other hand, the IRAC-detected LAEs are on average significantly older and more massive, with an average age 1 Gyr and mass ~1010 M☉. Comparing the IRAC colors and magnitudes of the LAEs to z ~ 3 Lyman break galaxies (LBGs) shows that the IRAC-detected LAEs lie at the faint blue end of the LBG color-magnitude distribution, suggesting that IRAC-detected LAEs may be the low-mass extension of the LBG population. We also present tentative evidence for a small fraction (~5%) of obscured AGNs within the LAE sample. Our results suggest that LAEs posses a wide range of ages and masses. In addition, the presence of evolved stellar populations inside LAEs suggests that the Lyα-luminous phase of galaxies may be either a long-lasting or recurring phenomenon.
机译:我们使用从GOODS和SIMPLE调查获得的Spitzer IRAC深度数据,调查了扩展的钱德拉深场南部在z = 3.1处162个发射Lyα的星系(LAE)的恒星种群,以得出可靠的恒星种群估计。我们根据其静止帧近红外光度将LAE分为IRAC检测到和IRAC未检测到的样本。在3.6μm至m3.6 = 25.2 AB的范围内未检测到约70%的LAE。堆叠分析显示,未发现IRAC的样本的平均星体年龄为〜200 Myr,质量为〜3×108M☉,这与对LAE大多为年轻且低质量星系的预期相符。另一方面,由IRAC检测到的LAE平均年龄明显更大,而且更大,平均年龄为1 Gyr,质量约为1010M☉。将LAE的IRAC颜色和大小与z〜3个莱曼断裂星系(LBG)进行比较,可以发现IRAC检测到的LAE位于LBG色度分布的淡蓝色末端,这表明IRAC检测到的LAE可能较低-LBG人群的数量扩展。我们还为LAE样本中一小部分(〜5%)隐蔽的AGN提供了初步证据。我们的结果表明,LAE具有广泛的年龄和质量。此外,LAE内部演化的恒星种群的存在表明,银河系的Lyα发光相可能是长期现象,也可能是反复发生的现象。

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