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A Deep Generative Model that Uses Physical Quantities to Generate and Retrieve Solar Magnetic Active Regions

  • Authors: Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Anna Malanushenko

Subhamoy Chatterjee et al 2026 The Astrophysical Journal Supplement Series 284 .

  • Provider: AAS Journals

Caption: Figure 1.

Graphical illustration of the designed and implemented solar image generation and retrieval pipeline. The process involves a generative model (GAN), and supervised learning to utilize physical parameter space for generation and manipulation of images, and self-supervised learning (SSL) for reverse real-image search. The lookup table (LUT) describes the mapping between an image and SSL-derived latent representation.

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