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Modern computation generates data -- lots and lots of data. Obtaining scientific knowledge from the results requires synthesizing vast datasets into fundamental understanding. A single image is unrivaled in its ability to produce not only insight but also beauty, revealing as a distillate what otherwise remains impenetrably hidden: 'a picture is worth a thousand terabytes.'

In visualization many aesthetic choices must be made. While an image from a computer simulation or a vast dataset can be functional, it can also be aesthetic. Astrophysics is a discipline rich in natural beauty, from planets and stars to galaxies and the large-scale structure of the Universe.

This project is dedicated to the most arresting, most captivating, and most pioneering visualization efforts in computational astrophysics. The hope is to inspire and motivate work beyond the functional, and to capture the evolving language of design within the context of our humble corner of space.

Have a suggestion or an amazing example? Suggestions are always welcome.

Dylan Nelson

jet gravitational strain

3d, idealized, stellar

core convection

3d, stellar

advective-reactive nucleosynthesis

3d, stellar

general relativistic instability supernova

2d, stellar

convective carbon shell

3d, stellar

binary neutron star merger

3d, stellar

merging neutron stars

3d, stellar

luminous blue variable

3d, stellar

magnetic field of a star

3d, b&w, stellar

magnetorotational supernova in 3D

3d, stellar