The Impact of the Galactic Bar and the Large Magellanic Cloud on Hypervelocity Star Trajectories

Abstract Hypervelocity stars (HVSs) ejected from the Galactic center at speeds faster than the Galactic escape velocity are useful tools to provide insight into the Milky Way’s dark matter halo. However, most characterizations of HVS orbits assume static models of the Milky Way’s gravitational potential. In this work, we assess the influence of the Galactic bar and the Large Magellanic Cloud (LMC) on HVS trajectories, comparing them with those from an axisymmetric potential. We simulate 28,000 HVSs ejected over the last 100 Myr and find that ignoring the bar and LMC can cause their apparent ejection location to drift by up to 100 pc. Applying two standard HVS potential fitting methods to our sample shows that they are unable to perform as designed when nonaxisymmetric effects are neglected. We calculate the angle between HVS Galactocentric position and velocity, and find the LMC and bar can induce a deflection angle of up to several degrees. Using mock Gaia Data Release 4 observations, however, we show that this deflection is too small in magnitude to be measured in the near future without significantly improved observational uncertainties, particularly in heliocentric distance. Our results emphasize the need to account for the bar and LMC in modeling the Galactic potential using HVSs as a tracer.

Authors

Institutions

Publication Details

Journal
The Astrophysical Journal
Published
2025-04-25
DOI
https://doi.org/10.3847/1538-4357/adc449
Citations
2
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
2.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of the Galactic Bar and the Large Magellanic Cloud on Hypervelocity Star Trajectories

Isabella Armstrong, Fraser A. Evans, Jo Bovy
2 citations
The Astrophysical Journal
Stellar, planetary, and galactic studies
2.31
article

The Impact of the Galactic Bar and the Large Magellanic Cloud on Hypervelocity Star Trajectories

Isabella Armstrong, Fraser A. Evans, Jo Bovy
article en
2 citations

Abstract

Abstract Hypervelocity stars (HVSs) ejected from the Galactic center at speeds faster than the Galactic escape velocity are useful tools to provide insight into the Milky Way’s dark matter halo. However, most characterizations of HVS orbits assume static models of the Milky Way’s gravitational potential. In this work, we assess the influence of the Galactic bar and the Large Magellanic Cloud (LMC) on HVS trajectories, comparing them with those from an axisymmetric potential. We simulate 28,000 HVSs ejected over the last 100 Myr and find that ignoring the bar and LMC can cause their apparent ejection location to drift by up to 100 pc. Applying two standard HVS potential fitting methods to our sample shows that they are unable to perform as designed when nonaxisymmetric effects are neglected. We calculate the angle between HVS Galactocentric position and velocity, and find the LMC and bar can induce a deflection angle of up to several degrees. Using mock Gaia Data Release 4 observations, however, we show that this deflection is too small in magnitude to be measured in the near future without significantly improved observational uncertainties, particularly in heliocentric distance. Our results emphasize the need to account for the bar and LMC in modeling the Galactic potential using HVSs as a tracer.

The Astrophysical JournalVol. 984(1)
University of Toronto (CA), Canadian Institute for Theoretical Astrophysics (CA), McMaster University (CA)
Openalex Percentile: Top 12%
Stellar, planetary, and galactic studies
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.