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JAM Jupyter Examples

Jeans Anisotropic Modelling (JAM) of Galactic Dynamics

Binder PyPI version arXiv:2003.03320 DOI:10.1111/j.1365-2966.2008.13754.x

Usage examples in Jupyter Notebook for the Jeans Anisotropic Modelling JAM method, originally described for cylindrically aligned velocity ellipsoids in Cappellari (2008) and for a spherically aligned velocity ellipsoid in Cappellari (2020).

The Jeans Anisotropic Modelling (JAM) method models the stellar kinematics of galaxies to determine their intrinsic structure and mass distribution. It solves the Jeans equations of stellar hydrodynamics for a spherical or axisymmetric stellar system.

One can run the Jupyter notebooks without installing anything by clicking on the binder button above. Just note that the code will run much faster on your local computer.

Documentation

Read the full JAM documentation HERE

Attribution

If you use this software for your research, please cite Cappellari (2020) and Cappellari (2008). The BibTeX entry for papers is:

@ARTICLE{Cappellari2008,
    author = {{Cappellari}, Michele},
    title = "{Measuring the inclination and mass-to-light ratio of axisymmetric
        galaxies via anisotropic Jeans models of stellar kinematics}",
    journal = {MNRAS},
    eprint = {0806.0042},
    year = 2008,
    volume = 390,
    pages = {71-86},
    doi = {10.1111/j.1365-2966.2008.13754.x}
}

@ARTICLE{Cappellari2020,
    author = {{Cappellari}, Michele},
    title = "{Efficient solution of the anisotropic spherically-aligned axisymmetric
        Jeans equations of stellar hydrodynamics for galactic dynamics}",
    journal = {MNRAS},
    eprint = {1907.09894},
    year = 2020,
    volume = 494,
    pages = {4819-4837},
    doi = {10.1093/mnras/staa959}
}

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Examples for the Jeans Anisotropic Modelling (JAM) method for galaxy dynamics

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