FOXES: A Framework For Operational X-ray Emission Synthesis

Understanding solar flares is critical for predicting space weather, as their activity shapes how the Sun influences Earth and its environment. The development of reliable forecasting methodologies of these events depends on robust flare catalogs, but current methods are limited to flare classification using integrated soft X-ray emission that are available only from Earth's perspective. This limits detection of far-side flares and reduces accuracy in pinpointing their locations and strengths. In this work, we introduce a Vision Transformer (ViT)-based approach that translates extreme ultraviolet (EUV) observations into soft x-ray flux while also estimating flare locations. The model achieves accurate flux predictions across flare classes using quantitative metrics. This paves the way for EUV-based flare detection to be extended beyond Earth’s line of sight, which allows for a more comprehensive and complete solar flare catalog.