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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 2.

A zoo of GAN-generated magnetic ARs, which depending on complexity play an important role in driving space-weather events. The shown AR images are generated using 100 latent vectors randomly sampled from a standard normal distribution. The images with diffused flux are seen as the temporal evolution of SHARPs and are used during the training of the GAN.

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