The origin of B-type runaway stars based on kinematics
Yanjun Guo, Chao Liu, ZhiCun Liu, Chunyan Li, Qida Li, Kun Chen, Zhanwen Han, XueFei Chen

TL;DR
This study investigates the origins of 39 B-type runaway stars using kinematic analysis, spectral data, and machine learning to trace their trajectories and assess whether they originate from the Galactic disk or clusters.
Contribution
It combines orbital traceback, spectral analysis, and machine learning to identify the likely origins of B-type runaway stars, providing new insights into their kinematic properties and potential formation scenarios.
Findings
29 stars have trajectories within the Galactic disk
10 stars are disk-passing but still trace back to the disk
Some stars may originate from known clusters
Abstract
Runaway stars depart their birthplaces with high peculiar velocities. Two mechanisms are commonly invoked to explain their origin, the binary supernova scenario (BSS) and the dynamical ejection scenario (DES). Investigating the kinematic properties of runaway stars is key to understanding their origins.We intend to investigate the origins of 39 B-type runaway stars from LAMOST using orbital traceback analysis. From the catalog of LAMOST, we selected 39 B-type runaway stars and determined their spectral subtypes from key absorption lines. We then derived atmospheric parameters for each star using the Stellar Label Machine (SLAM), which is trained on TLUSTY synthetic spectra computed under the non-local thermodynamic equilibrium (NLTE) assumption. Using the derived atmospheric parameters as input, we estimated stellar masses and ages with a machine learning model trained on PARSEC…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astrophysics and Star Formation Studies
