论文标题
使用CMB透镜质量图改善宇宙红外背景的模型
Improving models of the cosmic infrared background using CMB lensing mass maps
论文作者
论文摘要
尘土形成星系的红外排放来源的宇宙红外背景(CIB)是宇宙恒星形成历史的宝贵信息来源。在高于$ \ sim 300 $ ghz的频率的毫米天空测量中,银河尘埃的CIB和热发射占主导地位。另一方面,对CIB贡献的有限理解可能会阻碍在小尺度上测量动力学Sunyaev-Zeldovich光谱,以及影响宇宙微波背景(CMB)阻尼尾巴的新物理学。普朗克卫星以高忠诚度测量了CIB的217、353、545和857 GHz。在很大的尺度上,这种测量受到我们将CIB与银河灰尘分离的能力的限制,但是在中间尺度上,测量值受到CIB所追踪的基本问题领域的样品方差的限制。我们通过对CMB的重力透镜推断出的CMB重力透镜推断出的CMB推断出的CMB推断的CMAP(从现有{\ it planck}映射中测量的CIB(根据现有{\ it Planck}映射测量),如何在恒星形成模型的参数上获得显着改进(20-100%)。这种改进来自对星形星系的红移分布的改善,以及使用从CMB透镜质量图推断出的无偏物密度以取消CIB场中的样品方差。我们还发现,如果CIB与CMB镜头的互相关在更宽的区域上测量,同时将更具挑战性的CIB自动光谱测量限制为最清洁的5%的天空,则可以在CIB模型参数上获得进一步的改进。
The cosmic infrared background (CIB) sourced by infrared emission from dusty star-forming galaxies is a valuable source of information on the star formation history of the Universe. In measurements of the millimeter sky at frequencies higher than $\sim 300$ GHz, the CIB and thermal emission from Galactic dust dominate. A limited understanding of the CIB contribution at lower frequencies on the other hand can hinder efforts to measure the kinetic Sunyaev-Zeldovich spectrum on small scales as well as new physics that affects the damping tail of the cosmic microwave background (CMB). The Planck satellite has measured with high fidelity the CIB at 217, 353, 545 and 857 GHz. On very large scales, this measurement is limited by our ability to separate the CIB from Galactic dust, but on intermediate scales, the measurements are limited by sample variance in the underlying matter field traced by the CIB. We show how significant improvements (20-100%) can be obtained on parameters of star formation models by cross-correlating the CIB (as measured from existing {\it Planck} maps or upcoming CCAT-prime maps) with upcoming mass maps inferred from gravitational lensing of the CMB. This improvement comes from improved knowledge of the redshift distribution of star-forming galaxies as well as through the use of the unbiased matter density inferred from CMB lensing mass maps to cancel the sample variance in the CIB field. We also find that further improvements can be obtained on CIB model parameters if the cross-correlation of the CIB with CMB lensing is measured over a wider area while restricting the more challenging CIB auto-spectrum measurement to the cleanest 5% of the sky.