A method to calculate gravitational accelerations within discrete localised regions in the Milky Way
Rain Kipper, Elmo Tempel, Peeter Tenjes

TL;DR
This paper introduces a novel method to estimate gravitational accelerations in localized Milky Way regions by analyzing stellar phase space data, achieving high accuracy in simulated tests and applicable to Gaia data.
Contribution
The paper presents a new probabilistic approach to determine gravitational potential gradients using orbital arcs and phase space distributions in small stellar regions.
Findings
Achieves ~5% accuracy in simulated galactic plane accelerations.
Misalignment of acceleration vectors is less than 1 degree median.
Method is applicable to Gaia Milky Way data.
Abstract
We present a method to calculate gravitational potential gradients within regions containing few tens of thousands stars with known phase space coordinates. The central idea of the method is to calculate orbital arcs for each star within a given region for a certain parametrised potential (gravitational acceleration) and to assume that position of each star on its orbital arc is a random variable with a uniform probability density in time. Thereafter, by combining individual probability densities of stars it is possible to calculate the overall probability density distribution and likelihood for a given region as a function of gravitational acceleration parameters. The likelihood has a maximum if the calculated probability distribution and the observed distribution of stars in phase space are consistent. This allows us to constrain gravitational accelerations and potential gradient…
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