J Dexter
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Articles (15)
Year:
2024
Year:
2023
Year:
2023
Year:
2023
Year:
2023
We apply image moment invariant analysis to total intensity and polarimetric images calculated from general relativistic magnetohydrodynamic simulations of accreting black holes. We characterize different properties of the models in our library by their invariant distributions and their evolution in time. We show that they are highly sensitive to different physical effects present in the system which allow for model discrimination. We propose a new model scoring method based on image moment invariants that is uniformly applicable to total intensity and polarimetric images simultaneously. The method does not depend on the type of images considered and its application to other non-ring like images (e.g. jets) is straight forward.
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Year:
2021
Year:
2021
Collaborators (8)
Tuomas Savolainen
Aalto University
Geoffrey Bower
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George Wong
Princeton University
MITCHELL BEGELMAN
University of Colorado Boulder
Yue Shen
University of Illinois at Urbana-Champaign
Alex Chen
Assistant Professor
Washington University in St. Louis
Mark Gurwell
Smithsonian Institution
Shiro Ikeda
Professor
The Institute of Statistical Mathematics
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