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Axisymmetric Three-Integral Models for Galaxies

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arxiv astro-ph/9902034 v2 pith:DK5F6LAE submitted 1999-02-02 astro-ph

Axisymmetric Three-Integral Models for Galaxies

classification astro-ph
keywords methodmodelmodelsorbitsdarkgalaxiesgalaxyline-of-sight
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We describe an improved, practical method for constructing galaxy models that match an arbitrary set of observational constraints, without prior assumptions about the phase-space distribution function (DF). Our method is an extension of Schwarzschild's orbit superposition technique. As in Schwarzschild's original implementation, we compute a representative library of orbits in a given potential. We then project each orbit onto the space of observables, consisting of position on the sky and line-of-sight velocity, while properly taking into account seeing convolution and pixel binning. We find the combination of orbits that produces a dynamical model that best fits the observed photometry and kinematics of the galaxy. A key new element of this work is the ability to predict and match to the data the full line-of-sight velocity profile shapes. A dark component (such as a black hole and/or a dark halo) can easily be included in the models. We have tested our method, by using it to reconstruct the properties of a two-integral model built with independent software. The test model is reproduced satisfactorily, either with the regular orbits, or with the two-integral components. This paper mainly deals with the technical aspects of the method, while applications to the galaxies M32 and NGC 4342 are described elsewhere (van der Marel et al., Cretton & van den Bosch). (abridged)

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. SchwarMAX: a GPU-friendly Schwarzschild orbit-superposition modelling framework

    astro-ph.GA 2026-06 unverdicted novelty 6.0

    SchwarMAX delivers a fast GPU-native Schwarzschild modeling code that recovers density profiles and bar pattern speed from mock IFU data of a simulated barred galaxy.

  2. The Impact of Non-Gaussian Line Spread Functions on Stellar Kinematic Recovery: Consequences for Dynamical Models

    astro-ph.GA 2026-06 unverdicted novelty 5.0

    Non-Gaussian LSF shapes bias kinematic extraction from spectra; matching the LSF of templates to the target reduces dispersion bias below 1%.