论文标题
一个两个地点的故事-II:推断Minihalo托管星系的特性,即将到来的21厘米干涉仪
A tale of two sites -- II: Inferring the properties of minihalo-hosted galaxies with upcoming 21-cm interferometers
论文作者
论文摘要
预计第一代星系将在Minihalos中形成,通过$ {\ rm H} _2 $冷却并具有独特的特性,从而在Minihalos中形成。尽管不太可能在紫外线/红外调查中直接检测到这些分子冷却星系(MCG)的辐射可能会在宇宙黎明的21 cm信号中留下烙印。在这里,我们通过即将到来的无线电干涉仪量化了它们的可检测性。我们使用MCG的模型以及更大的原子冷却星系(AGC)生成模拟的21-CM功率谱,使两个人群都具有不同的特性和扩展关系。选择星系参数以使其与:(i)高红移UV光度函数; (ii)QSO光谱中立部分的上限; (iii)汤姆森散射的光学深度到CMB; (iv)最近推定边缘检测的时机。后者意味着如果被确认为宇宙学,则MCG对宇宙黎明产生了重大贡献。然后,我们对两个模型进行贝叶斯推断,包括和忽略MCG贡献。比较他们的贝叶斯证据,尽管它具有更多的免费参数,但我们发现了包括MCG在内的模型的强烈偏爱。这表明,如果MCG确实在宇宙黎明中发挥了重要作用,那么应该可以从即将到来的21 cm功率谱中推断出它们的性质。我们的研究说明了这些观察结果如何通过最大化贝叶斯证据来区分具有不同复杂性的不确定的星系形成模型。
The first generation of galaxies is expected to form in minihalos, accreting gas through ${\rm H}_2$ cooling, and possessing unique properties. Although unlikely to be directly detected in UV/infrared surveys, the radiation from these molecular-cooling galaxies (MCGs) could leave an imprint in the 21-cm signal from the Cosmic Dawn. Here we quantify their detectability with upcoming radio interferometers. We generate mock 21-cm power spectra using a model for both MCGs as well as more massive, atomic-cooling galaxies (AGCs), allowing both populations to have different properties and scaling relations. The galaxy parameters are chosen so as to be consistent with: (i) high-redshift UV luminosity functions; (ii) the upper limit on the neutral fraction from QSO spectra; (iii) the Thomson scattering optical depth to the CMB; and (iv) the timing of the recent putative EDGES detection. The latter implies a significant contribution of MCGs to the Cosmic Dawn, if confirmed to be cosmological. We then perform Bayesian inference on two models including and ignoring MCG contributions. Comparing their Bayesian evidences, we find a strong preference for the model including MCGs, despite the fact that it has more free parameters. This suggests that if MCGs indeed play a significant role in the Cosmic Dawn, it should be possible to infer their properties from upcoming 21-cm power spectra. Our study illustrates how these observations can discriminate among uncertain galaxy formation models with varying complexities, by maximizing the Bayesian evidence.