Impact of Gaia–Sausage–Enceladus Debris on Milky Way Escape-velocity Estimates in TNG50

Abstract The escape velocity is a key probe of the Milky Way (MW) potential, but standard estimates can be biased by unrelaxed substructures. Using MW analogs from the TNG50 cosmological simulation, we investigate the impact of the dominant, highly radial Gaia–Sausage–Enceladus (GSE) debris on escape-velocity measurements. We introduce an adaptive selection strategy that balances statistical reliability with sample size to identify the power-law decline regime of the local halo velocity distribution. Applying this strategy to 16 MW analogs with prominent GSE-like structures and continuous high-velocity tails, we find that retaining GSE-like stars yields a systematic underestimate, with a recovery fraction of 97 . 5 % − 2.9 % + 2.1 % , while removing GSE-like stars alone increases the recovery fraction to 99 . 4 % − 2.5 % + 2.1 % . The ∼2% underestimation of the escape velocity corresponds to an ∼6% underestimation of the total mass. This improvement persists in LAMOST-like magnitude and footprint selection. GSE-like debris is therefore a key contributor to the systematic underestimation of escape-velocity measurements, with direct implications for the inferred MW mass.

Authors

Institutions

Publication Details

Journal
The Astrophysical Journal
Published
2026-11-02
DOI
https://doi.org/10.3847/1538-4357/aeb00d
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Gaia–Sausage–Enceladus Debris on Milky Way Escape-velocity Estimates in TNG50

Shi Shao, Xiang-Xiang Xue, Yin Wu, Gang Zhao et al.
2 links
The Astrophysical Journal
Stellar, planetary, and galactic studies
article

Impact of Gaia–Sausage–Enceladus Debris on Milky Way Escape-velocity Estimates in TNG50

Shi Shao, Xiang-Xiang Xue, Yin Wu, Gang Zhao, Haining Li, Lan Zhang
article en

Abstract

Abstract The escape velocity is a key probe of the Milky Way (MW) potential, but standard estimates can be biased by unrelaxed substructures. Using MW analogs from the TNG50 cosmological simulation, we investigate the impact of the dominant, highly radial Gaia–Sausage–Enceladus (GSE) debris on escape-velocity measurements. We introduce an adaptive selection strategy that balances statistical reliability with sample size to identify the power-law decline regime of the local halo velocity distribution. Applying this strategy to 16 MW analogs with prominent GSE-like structures and continuous high-velocity tails, we find that retaining GSE-like stars yields a systematic underestimate, with a recovery fraction of 97 . 5 % − 2.9 % + 2.1 % , while removing GSE-like stars alone increases the recovery fraction to 99 . 4 % − 2.5 % + 2.1 % . The ∼2% underestimation of the escape velocity corresponds to an ∼6% underestimation of the total mass. This improvement persists in LAMOST-like magnitude and footprint selection. GSE-like debris is therefore a key contributor to the systematic underestimation of escape-velocity measurements, with direct implications for the inferred MW mass.

The Astrophysical JournalVol. 1011(2)
Chinese Academy of Sciences (CN), Beijing Normal University (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, Gauss Centre for Supercomputing
Openalex Percentile: Top 18%
Stellar, planetary, and galactic studies
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.

Laika access coming soon
Impact of Gaia–Sausage–Enceladus Debris on Milky Way Escape-velocity Estimates in TNG50 — Shi Shao, Xiang-Xiang Xue, et al. · The Astrophysical Journal (2026) | TGRS Research Map | TGRS