Analysing surveys of our Galaxy -- II. Determining the potential
arXiv:1303.5660 · doi:10.1093/mnras/stt814
Abstract
We consider the problem of determining the Galaxy's gravitational potential from a star catalogue. We show that orbit-based approaches to this problem suffer from unacceptable numerical noise deriving from the use of only a finite number of orbits. An alternative approach, which requires an ability to determine the model's phase-space density at predetermined positions and velocities, has a level of numerical noise that lies well below the intrinsic uncertainty associated with the finite size of the catalogue analysed. A catalogue of 10000 stars brighter than V=17 and distributed over the sky at b>30 degrees enables us to determine the scaleheight of the disc that contributes to the potential with an uncertainty below 20pc if the catalogue gives proper motions, line-of-sight velocities and parallaxes with errors typical of the Gaia Catalogue, rising to 36pc if only proper motions are available. The uncertainty in the disc's scalelength is significantly smaller than 0.25kpc.
16 pages, MNRAS accepted. Revised to reflect final version
References in corpus (14)
- The Radial Velocity Experiment (RAVE): first data release
- On the local dark matter density
- Triaxial orbit based galaxy models with an application to the (apparent) decoupled core galaxy NGC 4365
- Actions for axisymmetric potentials
- A new determination of the local dark matter density from the kinematics of K dwarfs
- Disassembling the Galaxy with angle-action coordinates
- More dynamical models of our Galaxy
- Angle-action estimation in a general axisymmetric potential
- Constraining the Mass Profiles of Stellar Systems: Schwarzschild Modeling of Discrete Velocity Datasets
- Bayes versus the virial theorem: inferring the potential of a galaxy from a kinematical snapshot
- Extending the Hyades
- Constraining the Galactic potential via action-based distribution functions for mono-abundance stellar populations
- Constraining black hole masses from stellar kinematics by summing over all possible distribution functions
- Determining the velocity dispersion of the thick disc
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