Environmental effects at early cosmic times: galaxy evolution in the first massive clusters

早期宇宙时代的环境影响：第一个巨大星团中的星系演化

• 批准号: 394232321
• 负责人: Professor Dr. Joseph Mohr, since 12/2019
• 金额: --
• 依托单位: Max-Planck-Institut für extraterrestrische Physik (MPE)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/394232321?language=en
• 关键词: Environmental; effects; early; cosmic; times

This project is based on recently obtained, deep, homogeneous imaging follow-up with HST and Spitzer of the complete sample of five high-significance (S/N>5) galaxy clusters at z>~1.4 detected through the Sunyaev-Zeldovich effect in the SPT-SZ survey over 2500 square degrees. The large survey area and depth of SPT-SZ allow the identification of this still unique sample of clusters among the rarest, most massive known at this cosmic epoch. The cluster selection, tightly related to cluster mass and totally independent of cluster galaxies (unlike most cluster surveys at these redshifts), makes this sample uniquely suited for unbiased galaxy population studies probing environmental signatures on galaxy evolution in early cluster environments. We designed the specific combination of HST and Spitzer observations to provide a first "essential data set" to start efficiently probing galaxy populations in terms of star formation and quenching, stellar mass assembly, passive fractions vs. stellar mass, formation of the red sequence, formation and evolution of Brightest Cluster Galaxies, morphologies vs. stellar population properties, structural evolution of bulge- and disk-dominated galaxies, and merger rates and properties in these extreme environments, as well as the galaxy stellar mass function, halo occupation distribution and stellar mass fraction in most massive halos at z~1.5. All HST and Spitzer observations are now completed and reduced. First analyses are ongoing with a DLR-supported program focused on the HST observations, confirming the high-redshift nature of these clusters, with the most distant system being consistently estimated at z~1.8 from both the (totally independent) red-sequence and X-ray modeling analyses. At this redshift, it is not only the most distant cluster discovered in the SPT-SZ survey, but the most distant massive (M500>10^14 Msun) ICM-selected cluster discovered thus far, and potentially the most distant cluster known in this extreme mass range irrespective of selection. We ask here for support for continuing this work, in particular fully exploiting the synergy between HST and Spitzer observations which is critical to the goals of this investigation.The proposed project will allow us to complete the first study of this kind of such a well defined, homogeneous massive distant cluster sample, and exploit its pilot-project nature for an efficient design of follow-up of distant clusters for galaxy evolution studies for new and coming surveys (SPTpol, SPT-3G, eROSITA), bridging today's state-of-the-art work and its powerful future extensions.

该项目基于最近使用 HST 和 Spitzer 对 z>~1.4 处的五个高显着性 (S/N>5) 星系团的完整样本进行的深度均匀成像跟踪，通过 Sunyaev-Zeldovich 效应检测到SPT-SZ 勘测面积超过 2500 平方度。 SPT-SZ 的大勘测面积和深度使得我们能够在这个宇宙时代已知的最稀有、最大的星团样本中识别出这个仍然独特的星团样本。星团选择与星团质量密切相关，并且完全独立于星团星系（与这些红移的大多数星团调查不同），使得该样本特别适合于探索早期星团环境中星系演化的环境特征的无偏星系种群研究。我们设计了 HST 和斯皮策观测的特定组合，以提供第一个“基本数据集”，以开始有效地探测星系种群的恒星形成和猝灭、恒星质量组装、被动分数与恒星质量、红色序列的形成、最亮星团星系的形成和演化、形态与恒星种群特性、核核和盘主导星系的结构演化、这些极端环境中的合并率和特性，以及星系恒星质量z~1.5 处大多数大质量晕的函数、晕占据分布和恒星质量分数。 所有 HST 和斯皮策观测现已完成并减少。由 DLR 支持的项目正在进行第一项分析，重点是 HST 观测，确认这些星团的高红移性质，最远的系统根据（完全独立的）红序列和 X 一致估计为 z~1.8射线建模分析。在这次红移处，它不仅是SPT-SZ巡天中发现的最遥远的星团，而且是迄今为止发现的最遥远的大质量（M500>10^14 Msun）ICM选择的星团，并且可能是本次调查中已知的最遥远的星团。与选择无关的极端质量范围。 我们在此请求支持继续这项工作，特别是充分利用 HST 和斯皮策观测之间的协同作用，这对于本次调查的目标至关重要。拟议的项目将使我们能够完成此类定义明确的首次研究，均匀的大规模遥远星团样本，并利用其试点项目性质，为新的和即将到来的调查（SPTpol、SPT-3G、eROSITA）的星系演化研究有效设计遥远星团的后续工作，桥接当今的最先进的工作及其强大的未来扩展。

项目成果

Galaxy populations in the most distant SPT-SZ clusters

• DOI: 10.1051/0004-6361/201833944
• 发表时间: 2018-07
• 期刊: Astronomy & Astrophysics
• 影响因子: 6.5
• 作者: V. Strazzullo;M. Pannella;J. Mohr;A. Saro;M. Ashby;M. Bayliss;S. Bocquet;E. Bulbul;G. Khullar-G.-Khul