EXP: a Python/C++ package for basis function expansion methods in galactic dynamics

Galaxies are ensembles of dark and baryonic matter confined by their mutual gravitational attraction.The dynamics of galactic evolution have been studied with a combination of numerical simulations and analytical methods (Binney & Tremaine, 2008) for decades.Recently, data describing the positions and motions of billions of stars from the Gaia satellite (Gaia Collaboration, 2016, 2018) depict a Milky Way (our home galaxy) much farther from equilibrium than we imagined and beyond the range of many analytic models.Simulations that allow collections of bodies to evolve under their mutual gravity are capable of reproducing such complexities but robust links to fundamental theoretical explanations are still missing.

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Publication Details

Journal
The Journal of Open Source Software
Published
2025-05-05
DOI
https://doi.org/10.21105/joss.07302
Citations
4
Primary Topic
Astronomy and Astrophysical Research
Type
article
Field-Weighted Citation Impact
4.77

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article

EXP: a Python/C++ package for basis function expansion methods in galactic dynamics

Michael S Petersen, Martin D. Weinberg
4 citations
The Journal of Open Source Software
Astronomy and Astrophysical Research
4.77
article

EXP: a Python/C++ package for basis function expansion methods in galactic dynamics

Michael S Petersen, Martin D. Weinberg
article en
4 citations

Abstract

Galaxies are ensembles of dark and baryonic matter confined by their mutual gravitational attraction.The dynamics of galactic evolution have been studied with a combination of numerical simulations and analytical methods (Binney & Tremaine, 2008) for decades.Recently, data describing the positions and motions of billions of stars from the Gaia satellite (Gaia Collaboration, 2016, 2018) depict a Milky Way (our home galaxy) much farther from equilibrium than we imagined and beyond the range of many analytic models.Simulations that allow collections of bodies to evolve under their mutual gravity are capable of reproducing such complexities but robust links to fundamental theoretical explanations are still missing.

The Journal of Open Source SoftwareVol. 10(109)
University of Massachusetts Amherst (US), University of Edinburgh (GB)
Flatiron Health
Openalex Percentile: Top 6%
Astronomy and Astrophysical Research
4.77
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