The fact that galaxies rotate faster than expected is a strong indicator that we only see a small fraction of all the matter that exists—the additional mass comes from “dark matter.’’
[Credit: NASA/JPL-Caltech]
The large-scale structure of galaxies across the Universe teaches us about the properties of dark matter.
[Image: 2MASS Redshift Survey]
The properties of dark matter can affect the dynamics of galaxies like our own, which can be tested with astrophysical observatories such as Gaia.
[Image: ESA/Gaia/DPAC; CC BY-SA 3.0 IGO]
Dark matter can affect the observable properties of small dwarf galaxies that are colliding with the Milky Way.
[Credit: NASA/JPL-Caltech/R. Hurt (SSC/Caltech)]
Signals of dark matter from annihilations at the centers of galaxies may be hiding in high-energy gamma-rays.
[Image: Fermi All-Sky Map]
Simulations of dark matter help us understand its astrophysical distribution in the Milky Way and beyond.
[Image: Via Lactea Simulation]
Dark matter may be produced at the Large Hadron Collider and other accelerator experiments.
[Image: CERN]
Dark matter signals in experiments can be so weak that they require incredibly sensitive detectors.
Machine learning can provide a powerful tool for sifting through large data sets to find hints of dark matter.