论文标题
经乳层次科学通过低温大量强度映射的实验
Extragalactic Science with the Experiment for Cryogenic Large-aperture Intensity Mapping
论文作者
论文摘要
低温大量强度映射的实验(Amaim)是一个气球传播的低温望远镜,它将调查从银河系和宇宙网络到探测星际形成,星际介质和跨宇宙时间的星系进化的弥漫发射光谱。沿着天体赤道沿着频率范围为r = 512光谱仪ν= 420-540 GHz的天体赤道沿着天体赤道沿着天体赤道的305度$^2 $地图,针对红移2.5 <z <z <3.5和z <1的几个CO线。与Galaxy红移目录的互相关分离出与目标红移处的大规模结构的线发射。在本文中,我们预测了对两点和条件的一分交叉相关的灵敏度。我们预测,Apaim将在广泛的[CII]强度模型下都检测[CII] -QSO跨功率谱和条件体素强度分布(CVID),从而使其在文献中可以区分这些模型。这些功率光谱的预测包括线跨行和连续前景污染的影响。然后,我们将关节[CII]从交叉动力谱和CVID转换为[CII] HALO Luminosie-Mass关系的约束,$ L_ \ MATHRM {[CII]}(M)$模型参数和恒星形成率密度(SFRD)从[CII]发出。我们还对CO开发了灵敏度估计,显示了区分模型的能力。
The EXperiment for Cryogenic Large-Aperture Intensity Mapping (EXCLAIM) is a balloon-borne cryogenic telescope that will survey the spectrum of diffuse emission from both the Milky Way and the cosmic web to probe star formation, the interstellar medium, and galaxy evolution across cosmic time. EXCLAIM's primary extragalactic science survey maps 305 deg$^2$ along the celestial equator with an R=512 spectrometer over the frequency range ν=420-540 GHz, targeting emission of the [CII] line over redshifts 2.5<z<3.5 and several CO lines for z<1. Cross-correlation with galaxy redshift catalogs isolates line emission from the large-scale structure at target redshifts. In this paper, we forecast the sensitivity for both the two-point and conditional one-point cross-correlation. We predict that EXCLAIM will detect both the [CII]-QSO cross-power spectrum and the conditional voxel intensity distribution (CVID) at various redshifts under a broad range of [CII] intensity models, allowing it to differentiate among these models in the literature. These forecasts for the power spectra include the effects of line interlopers and continuum foreground contamination. We then convert the joint [CII] constraints from both the cross-power spectrum and the CVID into constraints on the [CII] halo luminosity-mass relation $L_\mathrm{[CII]}(M)$ model parameters and the star formation rate density (SFRD) from [CII] emission. We also develop sensitivity estimates for CO, showing the ability to differentiate between models.