Magnetic structure analysis by applying persistent homology to Hinode and SDO magnetograms | Pablo Santamarina Guerrero
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03.11.2023
Co-author
Affiliation
Instituto de AstrofĂ­sica de AndalucĂ­a IAA-CSIC, Spain
Main category
Natural Sciences (Astrophysics and Astrononmy)
Caption
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/.
Further information
Further reading
Link to the European Solar Physics Online Seminars (ESPOS) webpage: https://espos.stream/2023/11/02/Guerrero/
Language
English
DOI
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