3D Mass Segregation Metrics and Analysis Pipeline for 871 Dynamically Young Open Clusters (Gaia DR3)

This repository contains the source code and processed data supporting the findings in the manuscript "Evidence of Inverse Mass Segregation in Dynamically Unevolved Young Open Clusters: A Three-Dimensional Analysis Based on Gaia DR3"(Zhang et al. 2026, The Astronomical Journal).

Contents:

* Cluster_MSR_Dynamical_Data.csv: Complete dataset   of 871 dynamically young open clusters (tau < 1),  containing 3D and 2D mass segregation ratios  (Lambda_MSR) for N = 5, 10, 15, and 20 most  massive stars, dynamical ages (tau), half-mass  relaxation times (t_rh), and cluster ages.  This file corresponds to Table 1 of the paper.* cluster_analysis_pipeline_v1.2.py: The Python    pipeline used to calculate Lambda_MSR values  and perform the dynamical age correlation  analysis.

README.txt: Documentation describing the  contents, column correspondence with Table 1,  and usage instructions.

Usage:1. Ensure hunt24.csv and the hunt24/ directory  are placed in the same folder as the script.2. Run: python cluster_analysis_pipeline_v1.2.py

Data Source: Hunt & Reffert (2024), A&A, 682, A22.