Action-angle Variables for Axisymmetric Potentials via Birkhoff Normalization

Abstract We describe a method for calculating action-angle (AA) variables in axisymmetric galactic potentials using Birkhoff normalization, a technique from Hamiltonian perturbation theory. An advantageous feature of this method is that it yields explicit series expressions for both the forward and inverse transformations between the AA variables and position–velocity data. It also provides explicit expressions for the Hamiltonian and dynamical frequencies as functions of the action variables. We test this method by examining orbits in a Milky Way model potential and compare it to the popular Stäckel approximation method. When vertical actions are not too large, the Birkhoff normalization method achieves fractional errors smaller than a part in 10 3 and outperforms the Stäckel approximation. We also show that the range over which Birkhoff normalization provides accurate results can be extended by constructing Padé approximants from the perturbative series expressions developed with the method. Numerical routines in Python for carrying out the Birkhoff normalization procedure are made available.

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Publication Details

Journal
The Astrophysical Journal
Published
2024-08-26
DOI
https://doi.org/10.3847/1538-4357/ad6143
Citations
2
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
0.69

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article

Action-angle Variables for Axisymmetric Potentials via Birkhoff Normalization

Sam Hadden
2 citations
The Astrophysical Journal
Target Tracking and Data Fusion in Sensor Networks
0.69
article

Action-angle Variables for Axisymmetric Potentials via Birkhoff Normalization

Sam Hadden
article en
2 citations

Abstract

Abstract We describe a method for calculating action-angle (AA) variables in axisymmetric galactic potentials using Birkhoff normalization, a technique from Hamiltonian perturbation theory. An advantageous feature of this method is that it yields explicit series expressions for both the forward and inverse transformations between the AA variables and position–velocity data. It also provides explicit expressions for the Hamiltonian and dynamical frequencies as functions of the action variables. We test this method by examining orbits in a Milky Way model potential and compare it to the popular Stäckel approximation method. When vertical actions are not too large, the Birkhoff normalization method achieves fractional errors smaller than a part in 10 3 and outperforms the Stäckel approximation. We also show that the range over which Birkhoff normalization provides accurate results can be extended by constructing Padé approximants from the perturbative series expressions developed with the method. Numerical routines in Python for carrying out the Birkhoff normalization procedure are made available.

The Astrophysical JournalVol. 972(1)
Canadian Institute for Theoretical Astrophysics (CA)
Canadian Institute for Theoretical Astrophysics, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 25%
Target Tracking and Data Fusion in Sensor Networks
0.69
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