Magnetic structure analysis by applying persistent homology to Hinode and SDO magnetograms | Pablo Santamarina Guerrero
Instituto de Astrofísica de Andalucía IAA-CSIC, Spain
Natural Sciences (Astrophysics and Astrononmy)
The ability to encode and simplify all information about the shape and distribution of data has turned Topological Data Analysis (TDA) into one of the most relevant fields in state-of-the-art data analysis. Among all the tools of TDA, persistent homology has proven to be one of the most relevant techniques, and has been applied in numerous fields of study, such as biomedicine, chemistry, atomic physics, or image classification. In this work, we study what persistent homology can offer in the analysis of solar magnetograms, with the purpose of providing a new tool that will serve as foundation for further studies of magnetic structures on the solar surface. Read more at https://espos.stream/2023/11/02/Guerrero/.
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