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.本仓库包含支撑论文《动态未演化年轻疏散星团的质量反分层（Inverse Mass Segregation）证据：基于盖亚DR3的三维分析》（Zhang等，2026，《天文学期刊》）研究结论的源代码与经处理数据集。 数据集内容： * Cluster_MSR_Dynamical_Data.csv：包含871个动态年轻疏散星团（年龄τ<1）的完整数据集，收录了N=5、10、15、20颗大质量恒星对应的三维与二维质量反分层比（Lambda_MSR）、动态年龄τ、半质量弛豫时间（$t_{rh}$）以及星团年龄。该文件对应论文中的表1。 * cluster_analysis_pipeline_v1.2.py：用于计算Lambda_MSR值并开展动态年龄相关性分析的Python分析流水线。 README.txt：用于说明数据集内容、各列与表1的对应关系以及使用方法的文档。 使用方法： 1. 将hunt24.csv与hunt24/目录放置在与脚本相同的文件夹中。 2. 执行命令：python cluster_analysis_pipeline_v1.2.py 数据来源：Hunt与Reffert（2024），《天文学与天体物理学》（A&A），682卷，A22。