AI 中文总结
该研究提出PRICM3框架，将PRT的二维地形图转换为三维点云，利用多卫星数据重建2021年10月28日的CME，结果与GCS模型高度吻合，为太阳任务提供了重要工具。
AI 中文摘要
日冕物质抛射（CME）本质上是三维（3D）的，但传统白光日冕仪仅提供二维（2D）投影。偏振率技术（PRT）利用汤姆逊散射推断代理三维等离子体位置，但其结果通常局限于二维地形图，阻碍几何解释。为解决该问题，我们引入PRICM3（三维偏振率集成CME映射器，Polarization Ratio Integrated CME Mapper in 3D），该框架可将PRT生成的地图转换为明确的三维点云重建结果。此工具支持直观可视化、多视点对比，以及与梯度圆柱壳（GCS）等几何模型的直接验证。作为概念验证，我们利用Solar Orbiter/Metis、SOHO/LASCO和STEREO-A/COR2的数据，分析了2021年10月28日观测到的一个 limb CME。独立重建结果汇聚为一致的三维体积，与对应的GCS几何结构高度吻合。这些结果证明，PRT地形图中嵌入的三维信息可通过空间重建成功恢复。PRICM3为解释偏振日冕仪观测结果提供了一种强大、直观的方法，为Proba-3/ASPIICS和PUNCH等当前及未来的太阳任务提供了重要工具。
英文摘要
Coronal mass ejections (CMEs) are inherently three-dimensional (3D), but traditional white-light coronagraphs provide only two-dimensional (2D) projections. While the Polarization Ratio Technique (PRT) utilizes Thomson scattering to infer proxy 3D plasma locations, its results are typically limited to 2D topographical maps, hindering geometric interpretation. To address this, we introduce PRICM3 (Polarization Ratio Integrated CME Mapper in 3D), a framework that converts PRT-derived maps into explicit 3D point-cloud reconstructions. This tool enables intuitive visualization, multi-viewpoint comparison, and direct validation against geometric models such as the Graduated Cylindrical Shell (GCS). As a proof-of-concept, we analyzed a limb CME observed on 28 October 2021 using data from Solar Orbiter/Metis, SOHO/LASCO, and STEREO-A/COR2. The independent reconstructions converged into a consistent 3D volume that aligned remarkably well with the corresponding GCS geometry. These results prove that the 3D information embedded in PRT topographical maps can be successfully recovered through spatial reconstruction. PRICM3 offers a powerful, intuitive method for interpreting polarimetric coronagraph observations, providing a vital tool for current and future solar missions such as Proba-3/ASPIICS and PUNCH.
CommentsSubmitted to The Astrophysical Journal Supplement Series. 12 pages, 6 figures, 1 table. Software repository will be made publicly available upon journal acceptance
