Chemo-kinematic tomography of the Milky Way: Data and Analysis Scripts.

This repository contains the supporting data and analysis scripts for the paper "Chemo-kinematic tomography of the Milky Way using APOGEE, GALAH, and Gaia DR3". It includes high-resolution figures, a summary database of stellar population properties, and the Python implementation of the Starlight Synthesis Algorithm (SSA). The dataset details a chemo-dynamical decomposition of 468,000 stars, identifying four distinct structural components and characterizing the "quiescent gap" in the Milky Way's star-formation history.本仓库包含论文《利用APOGEE、GALAH与盖亚DR3开展银河系化学运动学层析成像》的配套数据与分析脚本。其中涵盖高分辨率插图、恒星族群属性汇总数据库，以及星光合成算法（Starlight Synthesis Algorithm，SSA）的Python实现。本数据集针对468000颗恒星完成了化学动力学分解，识别出四类截然不同的结构组分，并刻画了银河系恒星形成历史中的“静默间隙”。