Skip to main content

Research Repository

Advanced Search

Inferring the Mass Content of Galaxy Clusters with Satellite Kinematics and Jeans Anisotropic Modeling

Shi, Rui; Wang, Wenting; Li, Zhaozhou; Zhu, Ling; Smith, Alexander; Cole, Shaun; Gao, Hongyu; Chen, Xiaokai; Li, Qingyang; Han, Jiaxin

Inferring the Mass Content of Galaxy Clusters with Satellite Kinematics and Jeans Anisotropic Modeling Thumbnail


Authors

Rui Shi

Wenting Wang

Zhaozhou Li

Ling Zhu

Hongyu Gao

Xiaokai Chen

Qingyang Li

Jiaxin Han



Abstract

Satellite galaxies can be used to indicate the dynamic mass of galaxy groups and clusters. In this study, we apply the axisymmetric Jeans Anisotropic Multi-Gaussian Expansion (JAM) modeling to satellite galaxies in 28 galaxy clusters selected from the TNG300-1 simulation with halo masses of log10M200/M⊙>14.3 . If using true bound satellites as tracers, the best constrained total mass within the half-mass radius of satellites, M(

Citation

Shi, R., Wang, W., Li, Z., Zhu, L., Smith, A., Cole, S., Gao, H., Chen, X., Li, Q., & Han, J. (2024). Inferring the Mass Content of Galaxy Clusters with Satellite Kinematics and Jeans Anisotropic Modeling. The Astrophysical Journal, 973(2), Article 82. https://doi.org/10.3847/1538-4357/ad64cf

Journal Article Type Article
Acceptance Date Jul 16, 2024
Online Publication Date Sep 20, 2024
Publication Date Oct 1, 2024
Deposit Date Sep 27, 2024
Publicly Available Date Sep 27, 2024
Journal The Astrophysical Journal
Electronic ISSN 1538-4357
Peer Reviewed Peer Reviewed
Volume 973
Issue 2
Article Number 82
DOI https://doi.org/10.3847/1538-4357/ad64cf
Keywords Hydrodynamical simulations, Galaxy dark matter halos, Galaxy clusters
Public URL https://durham-repository.worktribe.com/output/2873272

Files





You might also like



Downloadable Citations