J Dexter

University of Colorado Boulder
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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

FINLAND
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Geoffrey Bower

-

UNITED STATES
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George Wong

Princeton University

UNITED STATES
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MITCHELL BEGELMAN

University of Colorado Boulder

UNITED STATES
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Yue Shen

University of Illinois at Urbana-Champaign

UNITED STATES
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Alex Chen

Assistant Professor

Washington University in St. Louis

UNITED STATES
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Mark Gurwell

Smithsonian Institution

UNITED STATES
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Shiro Ikeda

Professor

The Institute of Statistical Mathematics

JAPAN
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