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

magnetic turbulence

The fluctuation magnetic energy density in fully developed, two-dimensional, magnetically dominated turbulence. These fluctuations are stronger in large-scale flux tubes -- the circular structures which form with a size comparable to the energy-carrying scale. They are also stronger in small-scale structures which arise in reconnection plasmoids, so-called "secondary magnetic islands."

Methods: TRISTAN-MP PIC code

date added Dec. 7, 2019

categories 2d, idealized

author Luca Comisso

origin arXiv 1909.01420