
TL;DR
This paper introduces a probabilistic method to identify distant stars in the tidal tails of open clusters, overcoming limitations of traditional overdensity searches, and applies it to Gaia data to reveal extensive tidal structures.
Contribution
The authors develop and apply a novel probabilistic approach to detect open cluster members in tidal tails without relying on overdensity methods, using Gaia DR3 data.
Findings
Successfully identified stars in tidal tails of most clusters
Tidal tails extend over a kiloparsec from cluster cores
Published a catalogue of stars in tidal tails
Abstract
Context. Open clusters that emerged from the star forming regions as gravitationally bound structures are subjected to star evaporation, ejection, and tidal forces throughout the rest of their lives. Consequently they form tidal tails that can stretch kiloparsecs along the cluster's orbit. Aims. Cluster members are typically found by searching for overdensities in some parameter space (positions and velocities or sometimes actions and orbital parameters of stars). However, this method is not effective in identifying stars located in the tidal tails far from the open cluster cores. We present a probabilistic method for finding distant cluster members without relying on searching for overdensities and apply it to 476 open clusters. Methods. First, we simulate the dissolution of a cluster and obtain a probability distribution (likelihood) describing where cluster members are to be found.…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astrophysics and Star Formation Studies
