GPS Manifold Geometry Analysis for October 2024 Geomagnetic Storm: Processed Data and Source Code

This repository contains the complete data processing pipeline and processed datasets for detecting ionospheric disturbances during the **October 10-11, 2024 G4 geomagnetic storm** using temporal manifold geometry analysis of GPS satellite constellation dynamics. The method achieves **91.2% detection accuracy** at the ZEFR station (Tampa Bay, Florida) while traditional ROTI-based approaches collapsed to 16% effectiveness due to amplitude saturation. **Key Innovation:** The Aurea Effect demonstrates that when external physical constraints govern phase transitions, geometric structure remains invariant across signal compositions, enabling amplitude-independent detection precisely when traditional methods fail.本研究仓库包含了用于检测**2024年10月10日至11日G4级地磁暴**期间电离层扰动的完整数据处理流水线与已处理数据集，该项研究采用GPS卫星星座动力学的时序流形几何分析方法搭建。该方法在位于美国佛罗里达州坦帕湾的ZEFR观测站实现了**91.2%的检测准确率**，而传统基于ROTI的方法则因振幅饱和导致检测效能骤降至16%。 **核心创新点**：Aurea效应（Aurea Effect）表明，当外部物理约束主导相变过程时，几何结构在不同信号组成下保持恒定，从而可在传统方法失效的场景下实现与振幅无关的电离层扰动检测。