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diffhydro: Inverse Multiphysics Modeling and Embedded Machine Learning in Astrophysical Flows

  • Authors: Benjamin Horowitz, Zarija Lukić, Kentaro Nagamine, Yuri Oku

Benjamin Horowitz et al 2026 The Astrophysical Journal 1012 .

  • Provider: AAS Journals

Caption: Figure 13.

Evolution of density in two 2563 self-gravitating test boxes initialized with different priors on the initial conditions, shown as x-axis projections at the labeled times (in code units). Top row (turbulence + grav): turbulent initial conditions plus self-gravity, where pre-existing velocity/density structure seeds a network of intermittent overdensities that sharpen into filaments during collapse. Middle and bottom rows (Gaussian field + grav): Gaussian random-field initial conditions plus self-gravity, producing a smoother early evolution followed by coherent filament and clump formation. Time steps are nonuniform and were chosen to emphasize key stages of the gravitational evolution. Color bars indicate projected density (top) and projected log-density (bottom). Three-dimensional volume renderings and animations are available at doi:10.5281/zenodo.22731680 and https://github.com/bhorowitz/DiffHydro_public/.

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