# Robust Clustering of the Local Milky Way Stellar Kinematic Substructures with Gaia eDR3

**Authors:** Xiaowei Ou, Lina Necib, Anna Frebel  
**arXiv:** [2208.01056](https://arxiv.org/abs/2208.01056)  
**Date:** 2022-08-01  
**Summary page:** https://www.summarizepaper.com/en/paper/2208.01056v1/

## Key points

- Study titled "Robust Clustering of the Local Milky Way Stellar Kinematic Substructures with Gaia eDR3"
- Authors: Xiaowei Ou, Lina Necib, and Anna Frebel
- Utilize HDBSCAN clustering algorithm to identify local stellar kinematic substructures in the solar neighborhood
- Analyze almost 5.5 million stars to enhance understanding of Milky Way formation
- Objective is to compile a list of stable clusters considering measurement uncertainties and investigating clustering results' stability
- Data from Gaia eDR3 astrometry combined with radial velocity measurements from Gaia second data release used
- Focus on identifying and analyzing local stellar kinematic substructures in the solar neighborhood
- Aim to establish an empirical phase space distribution of dark matter for informing detection experiments

## Summary

In their study titled "Robust Clustering of the Local Milky Way Stellar Kinematic Substructures with Gaia eDR3," authors Xiaowei Ou, Lina Necib, and Anna Frebel utilize the clustering algorithm HDBSCAN to identify local stellar kinematic substructures in the solar neighborhood. By analyzing almost 5.5 million stars, the researchers aim to enhance our understanding of the formation of the Milky Way and establish an empirical phase space distribution of dark matter for informing detection experiments. The main objective of this research is to compile a list of stable clusters by considering measurement uncertainties and investigating clustering results' stability. In their study, authors use HDBSCAN to identify local stellar kinematic substructures in the solar neighborhood. Data from Gaia early third data release astrometry combined with radial velocity measurements from Gaia second data release are used in this study. The focus of this research is on identifying and analyzing local stellar kinematic substructures in the solar neighborhood. By analyzing almost 5.5 million stars, this study aims to enhance our understanding of how the Milky Way was formed. The researchers also aim to establish an empirical phase space distribution of dark matter for informing detection experiments through their analysis.