volume 9 issue 1 publication number 3

Computational methods for collisional stellar systems

Publication typeJournal Article
Publication date2023-09-06
SJR
CiteScore
Impact factor
ISSN23650524, 23673621
General Medicine
Abstract

Dense star clusters are spectacular self-gravitating stellar systems in our Galaxy and across the Universe—in many respects. They populate disks and spheroids of galaxies as well as almost every galactic center. In massive elliptical galaxies nuclear clusters harbor supermassive black holes, which might influence the evolution of their host galaxies as a whole. The evolution of dense star clusters is not only governed by the aging of their stellar populations and simple Newtonian dynamics. For increasing particle number, unique gravitational effects of collisional many-body systems begin to dominate the early cluster evolution. As a result, stellar densities become so high that stars can interact and collide, stellar evolution and binary stars change the dynamical evolution, black holes can accumulate in their centers and merge with relativistic effects becoming important. Recent high-resolution imaging has revealed even more complex structural properties with respect to stellar populations, binary fractions and compact objects as well as—the still controversial—existence of intermediate mass black holes in clusters of intermediate mass. Dense star clusters therefore are the ideal laboratory for the concomitant study of stellar evolution and Newtonian as well as relativistic dynamics. Not only the formation and disruption of dense star clusters has to be considered but also their galactic environments in terms of initial conditions as well as their impact on galactic evolution. This review deals with the specific computational challenges for modelling dense, gravothermal star clusters.

Found 
Found 

Top-30

Journals

1
2
3
Monthly Notices of the Royal Astronomical Society
3 publications, 33.33%
Astronomy and Astrophysics
3 publications, 33.33%
Astrophysical Journal
2 publications, 22.22%
Research in Astronomy and Astrophysics
1 publication, 11.11%
1
2
3

Publishers

1
2
3
Oxford University Press
3 publications, 33.33%
EDP Sciences
3 publications, 33.33%
American Astronomical Society
2 publications, 22.22%
IOP Publishing
1 publication, 11.11%
1
2
3
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
9
Share
Cite this
GOST |
Cite this
GOST Copy
Spurzem R. et al. Computational methods for collisional stellar systems // Living Reviews in Computational Astrophysics. 2023. Vol. 9. No. 1. 3
GOST all authors (up to 50) Copy
Spurzem R., Kamlah A. W. H. Computational methods for collisional stellar systems // Living Reviews in Computational Astrophysics. 2023. Vol. 9. No. 1. 3
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1007/s41115-023-00018-w
UR - https://doi.org/10.1007/s41115-023-00018-w
TI - Computational methods for collisional stellar systems
T2 - Living Reviews in Computational Astrophysics
AU - Spurzem, Rainer
AU - Kamlah, Albrecht W. H.
PY - 2023
DA - 2023/09/06
PB - Springer Nature
IS - 1
VL - 9
SN - 2365-0524
SN - 2367-3621
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Spurzem,
author = {Rainer Spurzem and Albrecht W. H. Kamlah},
title = {Computational methods for collisional stellar systems},
journal = {Living Reviews in Computational Astrophysics},
year = {2023},
volume = {9},
publisher = {Springer Nature},
month = {sep},
url = {https://doi.org/10.1007/s41115-023-00018-w},
number = {1},
pages = {3},
doi = {10.1007/s41115-023-00018-w}
}