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arXiv · 2607.28506

PRICM3: A novel Polarization Ratio framework for three-dimensional CME reconstruction

Yara De Leo·Manuela Temmer·Fernando M. López·Sarah E. Gibson·Hebe Cremades·Leonardo Di Lorenzo·Roberto Susino·Marco Romoli·Lucia Abbo·Aleksandr Burtovoi·Chiara Casini·Michele Fabi·Federica Frassati·Giovanna Jerse·Federico Landini·Maurizio Pancrazzi·Giuliana Russano·Clementina Sasso
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Abstract

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.

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Yara De Leo, Manuela Temmer, Fernando M. López, Sarah E. Gibson, Hebe Cremades, Leonardo Di Lorenzo, Roberto Susino, Marco Romoli, Lucia Abbo, Aleksandr Burtovoi, Chiara Casini, Michele Fabi, Federica Frassati, Giovanna Jerse, Federico Landini, Maurizio Pancrazzi, Giuliana Russano, Clementina Sasso. 2026-07-30. PRICM3: A novel Polarization Ratio framework for three-dimensional CME reconstruction. https://arxiv.org/abs/2607.28506

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