Reproducible dynamical inference with JeansPy#
JeansPy solves spherical and axisymmetric Jeans equations for dwarf spheroidal galaxies. Build a tracer, halo and anisotropy model; predict velocity second moments; fit explicit priors and likelihoods with emcee or NumPyro; and retain the inputs and diagnostics needed to reproduce the analysis.
This is the development documentation. It may describe changes beyond the latest published package; use the source checkout in the installation guide.
Documentation version: dev. Source reference:
4092e53a2304.
The release history identifies
published versions and significant changes.
Start with the installation guide, then follow the path that matches what you need:
Section |
Purpose |
|---|---|
Define a model, plot a prediction and mock data, run NumPyro NUTS and inspect the result |
|
Learn units, backends, model construction, predictions, MCMC and storage step by step |
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Look up every public class, function, method and property by name |
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Consult geometry, profile, numerical and J/D-factor details |
The model contract defines units, geometry, array shapes and the limits of differentiation.