Estimation of distances within the Milky Way using tidal streams
Daniele S. M. Fantin

TL;DR
This paper evaluates a method for estimating distances within the Milky Way using tidal streams, demonstrating its effectiveness with noise-free data and discussing limitations when observational errors are included.
Contribution
It applies and tests a technique for constraining the Galactic potential and distances using tidal streams, highlighting its accuracy and limitations under realistic conditions.
Findings
Excellent discrimination against incorrect potentials in noise-free data
Accurate prediction of heliocentric distances in ideal conditions
Constraints on the distance of streams despite observational errors
Abstract
During the past 20 years, numerous stellar streams have been discovered in both the Milky Way and the Local Group. These streams have been tidally torn from orbiting systems, which suggests that most of them should roughly trace the orbit of their progenitors around the Galaxy. As a consequence, they play a fundamental role in understanding the formation and evolution of our Galaxy. This project is based on the possibility of applying a technique developed by Binney in 2008 to various tidal streams and overdensities in the Galaxy. The aim is to develop an efficient method to constrain the Galactic gravitational potential, to determine its mass distribution, and to test distance measurements. Here we apply the technique to the Grillmair & Dionatos cold stellar stream. In the case of noise-free data, the results show that the technique provides excellent discrimination against incorrect…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStellar, planetary, and galactic studies · Scientific Research and Discoveries · Astronomy and Astrophysical Research
