29 citations · 82 across the 8 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
astro-ph.SR2019★ 1 cited
LRP2020: The Opportunity of Young Nearby Associations with the Advent of the Gaia Mission
Jonathan Gagné, Joel Kastner, Semyeong Oh +12
This white paper proposes leveraging high-quality Gaia data available to the worldwide scientific community and complement it with support from Canadian-related facilities to place…
astro-ph.SR2019★ 8 cited
Evaluation of nearby young moving groups based on unsupervised machine learning
Jinhee Lee, Inseok Song
Nearby young stellar moving groups have been identified by many research groups with different methods and criteria giving rise to cautions on the reality of some groups. We aim to…
astro-ph.SR2019★ 10 cited
Development of models for nearby young stellar moving groups: creation, revision, and finalisation of the models
Jinhee Lee, Inseok Song
Lee & Song (2018, Paper 1) developed a tool for calculating Bayesian membership probability for nearby young stellar moving groups (BAMG: Bayesian Analysis of Moving Groups). The s…