Visualization / Figures

Visual Demonstrations

All images and gifs here are freely used with attribution in any presentation.

A demonstration of the expanding universe, where every object becomes further away from every other unless they are gravitationally bound.

Weak lensing in action, where foreground structures (blue) distort the background shapes, shearing them tangentially, magnifying them, and displacing them. Galaxy shapes that are distorted in this way can trace this foreground structure, even if that structure is entirely invisible to our instruments.

When observing a passive galaxy spectrum, we see a sharp drop off in flux around 400 nm. As the galaxy becomes further away, we can see this break shifting to higher wavlengths. When we only have the images collected by filters, rather than the entire spectrum, we see this feature as the galaxy vanishes from our image. The correlation of when the galaxy disappears is closely linked to its distance!


A star forming galaxy with the O-II doublet (in blue) at increasing distance and redshift away from us. When the blue line passes in to the gray region, it is undetectable by most silicon-based detectors and measuring the redshift from a given spectrum becomes difficult.

A depiction of gravitational lensing in an idealized background shows how light gets warped around an (invisible) foreground dark matter halo. As the lensing mass moves towards and away from the observer we can see the shapes of galaxies change.

A depiction of strong gravitational lensing in front of the Hubble Ultra-Deep field, producing so-called Einstein rings when a galaxy is directly behind the lensing halo.

A depiction of a self-organizing map (SOM) learning the shape of a 3D data manifold, and reducing the dimensionality to 2D map efficiently.

A depiction of a self-organizing map (SOM) at work, discretizing a 3D space into the 2D map seen on the right. This unsupervised machine learning technique preserves the geometry and distribution of the data.

A schematic for galaxy-galaxy lensing, where we measure the correlation between background shapes with foreground 'lens' galaxy positions. The distortions in the background galaxy shapes allows us to probe the profile of matter within those lens galaxies, which is strongly dominated by dark matter.

A schematic for strong gravitational lensing, where a foreground matter potential tangentially shears the shape of a background galaxy, but also changes its apparent position on the sky.




A static version of one of the gifs above, depicting a passive galaxy at different redshifts and how it will show up in various optical filters on the Dark Energy Camera (DECam), giving us an ability to estimate its redshift and therefore distance. For these red galaxies, the so-called 'Balmer-break' at 400nm is a reliable feature that causes the flux to drop severely in bluer filters.

While the figure to the left showcases a very simple color-redshift relation, galaxies have very different spectral energy distributions (SEDs) depending on their astrophysical properties. Here we see that when limited to optical color information, some higher redshift spiral galaxies (star-forming) may appear very similar to lower redshift ellipticals (quenched). This is a color-redshift degeneracy that poses an obstacle to photometric redshift estimation, and is best broken by the addition of near-infrared and infrared color information.

How do we fit our cosmology to two-point correlations of galaxy shapes?

Without the y-axis scaled by angular separation

With y-axis scaling by angular separation