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Classification of Magnetohydrodynamic Simulations using Wavelet Scattering Transforms

Authors: Andrew K Sadjari;

Classification of Magnetohydrodynamic Simulations using Wavelet Scattering Transforms

Abstract

A.S. gratefully acknowledges support by a National Science Foundation Graduate Research Fellowship (DGE-1745303). D.F. acknowledges support by NSF grant AST-1614941, "Exploring the Galaxy: 3-Dimensional Structure and Stellar Streams." B.B. is grateful for support from the Simons Foundation. S.K.N.P. acknowledges support from the DIRAC Institute in the Department of Astronomy at the University of Washington. The DIRAC Institute is supported through generous gifts from the Charles and Lisa Simonyi Fund for Arts and Sciences, and the Washington Research Foundation. We acknowledge Catherine Zucker and Michael Foley for helpful discussions. A.S. acknowledges Sophia S\'{a}nchez-Maes for helpful discussion and much support. Computations in this paper were run on the FASRC Cannon cluster supported by the FAS Division of Science Research Computing Group at Harvard University.

Data products associated with the paper "Classification of Magnetohydrodynamic Simulations using Wavelet Scattering Transforms" are made publicly available including computed WST, RWST, and 3PCF coefficients, our selected subset of SFD, PPV density cubes from the MHD simulations, and our code for computing the 2D 3PCF.

Related Organizations
Keywords

Interstellar medium, Non-Gaussianity, Magnetohydrodynamical simulations, Astronomy data analysis, Convolutional neural networks

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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