arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.11027astro-ph.COastro-ph.GA
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COSMOS场的BIRTH:在Cosmic正午高峰期间的原始和演化密度重建

BIRTH of the COSMOS Field: Primordial and Evolved Density Reconstructions During Cosmic High Noon

Metin Ata, Francisco-Shu Kitaura, Khee-Gan Lee, Brian C. Lemaux, Daichi Kashino, Olga Cucciati, Monica Hernandez-Sanchez, Oliver Le Fevre

摘要:

这项工作提出了第一个全面的研究结构形成的高峰时期的宇宙恒星形成的$1.4\leq z \leq 3.6$在COSMOS领域,包括最大规模的高红移星系原星系团在那个时代。我们应用扩展的COSMIC BIRTH算法来解释拉格朗日初始宇宙时间的多示踪剂和多调查贝叶斯分析。结合五个不同光谱红移巡天的数据(zCOSMOS-deep,VUDS,MOSDEF,ZFIRE,and FMOS-COSMOS),我们证明了相应的无偏原始密度场是可以推断的,如果从父测光星表中进行适当的测量完整性计算,并考虑光锥上的非线性和非局部演化的精确处理,包括(i)引力物质位移,(ii)特殊速度,(iii)星系偏差。重建揭示了对COSMOS场中已知原星系团的整体看法,以及宇宙网向低红移方向的增长。推断遥远的暗物质密度场与其他探测器同时进行,如星系际介质的层析重建,将探索气体和暗物质的相互作用,非常适合在即将到来的深调查中研究高红移的结构形成。

英文摘要:

This work presents the first comprehensive study of structure formation at the peak epoch of cosmic star formation over $1.4\leq z \leq 3.6$ in the COSMOS field, including the most massive high redshift galaxy proto-clusters at that era. We apply the extended COSMIC BIRTH algorithm to account for a multi-tracer and multi-survey Bayesian analysis at Lagrangian initial cosmic times. Combining the data of five different spectroscopic redshift surveys (zCOSMOS-deep, VUDS, MOSDEF, ZFIRE, and FMOS-COSMOS), we show that the corresponding unbiased primordial density fields can be inferred, if a proper survey completeness computation from the parent photometric catalogs, and a precise treatment of the non-linear and non-local evolution on the light-cone is taken into account, including (i) gravitational matter displacements, (ii) peculiar velocities, and (iii) galaxy bias. The reconstructions reveal a holistic view on the known proto-clusters in the COSMOS field and the growth of the cosmic web towards lower redshifts. The inferred distant dark matter density fields concurrently with other probes like tomographic reconstructions of the intergalactic medium will explore the interplay of gas and dark matter and are ideally suited to study structure formation at high redshifts in the light of upcoming deep surveys.

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