Skip to content

Python class to compute the basic properties of a power-law stellar density distribution surrounding a massive black hole, including the rate of tidal disruption of stars.

License

Notifications You must be signed in to change notification settings

morganemacleod/NSC_dynamics

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

22 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

NSC_dynamics

Python class to compute the basic properties of a power-law stellar density distribution surrounding a massive black hole, including the rate of tidal disruption of stars.

Associated paper on star--disk interactions in galactic centers, which also describes the methods, can be found here: https://ui.adsabs.harvard.edu/abs/2019arXiv190909645M/abstract

Version v1.0 hosted on Zenodo: DOI associated with the publication. Please cite the AAS Journals article and Software DOI if this is useful in your work.

About

Python class to compute the basic properties of a power-law stellar density distribution surrounding a massive black hole, including the rate of tidal disruption of stars.

Resources

License

Stars

Watchers

Forks

Packages

No packages published