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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.

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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.

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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.

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