A first measurement of galaxy merger rate increasing in dynamically colder protoclusters at cosmic noon

ABSTRACT The process of galaxy cluster formation likely leaves an imprint on the properties of its individual member galaxies. Understanding this process is essential for uncovering the evolutionary connections between galaxies and cosmic structures. Here, we study a sample of 10 protoclusters at $z\sim 2$–3 in different dynamical states that we estimate based on spectroscopic data of their members. We combine the dynamical information with Hubble Space Telescope imaging to measure galaxy sizes and pair fractions. Our analysis reveals a clear anticorrelation between the velocity dispersion of the protocluster and its galaxy pair fractions (indicative of merger rates). The velocity dispersion also anticorrelates with the dispersion in size among the member galaxies. These correlations may be explained by protoclusters in colder dynamical states maintaining a velocity dispersion and galaxy number density that boosts galaxy mergers, which in turn contributes to the structural expansion and compaction of galaxies. Our findings offer constraints for cosmological models regarding the evolution of galaxy morphology across different stages in the assembly of protoclusters.

Authors

Institutions

Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2024-12-12
DOI
https://doi.org/10.1093/mnras/stae2746
Citations
3
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
0.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A first measurement of galaxy merger rate increasing in dynamically colder protoclusters at cosmic noon

Haiguang Xu, Xianzhong Zheng, Xiaohu Yang, Jiasheng Huang et al.
3 citations
Monthly Notices of the Royal Astronomical Society
Galaxies: Formation, Evolution, Phenomena
0.99
article

A first measurement of galaxy merger rate increasing in dynamically colder protoclusters at cosmic noon

Haiguang Xu, Xianzhong Zheng, Xiaohu Yang, Jiasheng Huang, Qirong Yuan, Yuheng Zhang, Zijian Lyu, Man Qiao, Valentino González, Shuang Liu, Run Wen, Dong Dong Shi, Chao Yang
article en
3 citations

Abstract

ABSTRACT The process of galaxy cluster formation likely leaves an imprint on the properties of its individual member galaxies. Understanding this process is essential for uncovering the evolutionary connections between galaxies and cosmic structures. Here, we study a sample of 10 protoclusters at $z\sim 2$–3 in different dynamical states that we estimate based on spectroscopic data of their members. We combine the dynamical information with Hubble Space Telescope imaging to measure galaxy sizes and pair fractions. Our analysis reveals a clear anticorrelation between the velocity dispersion of the protocluster and its galaxy pair fractions (indicative of merger rates). The velocity dispersion also anticorrelates with the dispersion in size among the member galaxies. These correlations may be explained by protoclusters in colder dynamical states maintaining a velocity dispersion and galaxy number density that boosts galaxy mergers, which in turn contributes to the structural expansion and compaction of galaxies. Our findings offer constraints for cosmological models regarding the evolution of galaxy morphology across different stages in the assembly of protoclusters.

Monthly Notices of the Royal Astronomical SocietyVol. 536(2)
University of Science and Technology of China (CN), Nanjing Normal University (CN), Shanghai Jiao Tong University (CN), Anhui University of Science and Technology (CN), Chinese Academy of Sciences (CN), Purple Mountain Observatory (CN), Institute of Theoretical Physics (CN), Ministry of Education (TW), National Astronomical Observatories (CN), University of Chile (CL)
National Science Foundation, Chinese Academy of Sciences South America Center for Astronomy, National Natural Science Foundation of China, Chinese Academy of Sciences, Anhui University, Government of Jiangsu Province, Anhui University of Science and Technology, Agencia Nacional de Investigación y Desarrollo, National Key Research and Development Program of China
Openalex Percentile: Top 22%
Galaxies: Formation, Evolution, Phenomena
0.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.