Constraining the potential of the Milky Way using stellar streams and the Inverse Time Integration method
C. G. Palau, W. Wang, J. Han
TL;DR
The paper introduces Inverse Time Integration (invi), a method that constrains the Milky Way potential by backwards integrating stellar streams in angle-action space to recover their stripping points relative to the progenitor. Focusing on the M68 stream Fjörm, the authors build a realistic N-body simulation, compute angle-action coordinates via AvGF, and model stripping with a forward-backward simple linear framework, then optimize a four-parameter inner Galaxy potential (disc mass M_d, disc scale a_d, halo axis ratio q_h, halo scale a_h) by maximizing clustering of stripping points. Using realistic Gaia-like data (including DR3 and projected DR5 uncertainties) and distance/radial-velocity estimates from the cluster orbit, they demonstrate that invi can recover the true potential to ~2% accuracy under Gaia-like conditions, with biases addressable via orientation corrections and robust statistics. A key finding is a strong correlation between disc mass and halo axis ratio due to the stream's geometry near the disc, highlighting the need for careful modeling of the disc-halo transition and possibly multiple streams to break degeneracies. The results hold promise for exploiting Gaia DR5 data and future surveys to tightly constrain the inner Milky Way's potential from stellar streams.
Abstract
We develop a method for constraining the potential of the Milky Way using stellar streams with a known progenitor. The method expresses the stream in angle-action coordinates and integrates the orbits of the stars backwards in time to obtain the stripping point positions of the stream stars relative to the cluster. In the potential that generated the stream, the stars return approximately to the cluster centre. In a different potential, they are redirected to different locations. The free parameters of the model are estimated by maximising the degree of clustering of the stripping point distribution. We test this method with the stellar stream of the globular cluster M68 (NGC 4590). We use an N-body code to simulate the stream and generate a realistic star sample using a model of the Gaia selection function. We also simulate the expected observational uncertainties, and estimate the heliocentric distances and radial velocities of the stream stars from the cluster orbit. Using this sample of stars, we recover the values of four free parameters characterising the potential of the disc and the dark halo to an accuracy of about 10 per cent of the correct values. We show that this accuracy is improved up to about 2 per cent using the expected end-of-mission Gaia data. In addition, we obtain a strong correlation between the mass of the disc and the dark halo axis ratio, which is explained by the fact that the stream flows close and parallel to the disc plane.
