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[ascl:2312.009] GravSphere: Jeans modeling code

The non-parametric Jeans code GravSphere models discrete data and can be used to model dark matter distributions in galaxies. It can also recover the density ρ(r) and velocity anisotropy β(r) of spherical stellar systems, assuming only that they are in a steady state. Real or mock data are prepared by using the included binulator.py code; the repository also includes many examples for exploring the GravSphere's capabilities.

Code site:
https://github.com/justinread/gravsphere
Used in:
https://ui.adsabs.harvard.edu/abs/2023A%26A...678A..38J
Described in:
https://ui.adsabs.harvard.edu/abs/2017MNRAS.471.4541R https://ui.adsabs.harvard.edu/abs/2018MNRAS.481..860R https://ui.adsabs.harvard.edu/abs/2020MNRAS.498..144G https://ui.adsabs.harvard.edu/abs/2021MNRAS.505.5686C
Bibcode:
2023ascl.soft12009R
Preferred citation method:

Please see citation information here: https://github.com/justinread/gravsphere#readme


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ascl:2312.009
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