Skip to main content
  1. Home
  2. Emerging Tech
  3. News

Virtual universe machine models galaxies to learn about dark matter

Add as a preferred source on Google

The Hubble Space Telescope took this image of Abell 370, a galaxy cluster 4 billion light-years from Earth. Several hundred galaxies are tied together by gravity. The arcs of blue light are distorted images of galaxies far behind the cluster, too faint for Hubble to see directly. (Image: NASA, ESA, and J. Lotz and the HFF Team/STScI)

Researchers are discovering new facts about our universe by creating a “virtual universe machine” which models the way galaxies develop over time. A team from the University of Arizona created a computer simulation of 12 million different galaxies which stretched back through time from 400 million years after the Big Bang to today. To perform the trillions of complex calculations required to model a large chunk of the universe, they used a supercomputer to generate 8 million variations of the universe model.

Recommended Videos

“On the computer, we can create many different universes and compare them to the actual one, and that lets us infer which rules lead to the one we see,” Peter Behroozi, the study’s lead author, explained in a statement. “We took the past 20 years of astronomical observations and compared them to the millions of mock universes we generated. We pieced together thousands of pieces of information to see which ones matched. Did the universe we created look right? If not, we’d go back and make modifications, and check again.”

A UA-led team of scientists generated millions of different universes on a supercomputer, each of which obeyed different physical theories for how galaxies should form. NASA, ESA, and J. Lotz and the HFF Team/STScI

The models showed particularly interesting information about the role that dark matter plays in the evolution of galaxies. When the researchers created model galaxies based on the current expectations of dark matter, in which the presence of dense dark matter prevents galaxies from forming new stars early in their lives, they found the resulting galaxies appeared much redder than they do in reality. To create a model that matches what we actually perceive in the universe, the galaxies had to be adjusted so that they continued to produce stars later into their lives than expected.

“As we go back earlier and earlier in the universe, we would expect the dark matter to be denser, and therefore the gas to be getting hotter and hotter. This is bad for star formation, so we had thought that many galaxies in the early universe should have stopped forming stars a long time ago,” Behroozi explained. “But we found the opposite: Galaxies of a given size were more likely to form stars at a higher rate, contrary to the expectation.”

The findings are published in the Monthly Notices of the Royal Astronomy Society.

Georgina Torbet
Georgina has been the space writer at Digital Trends space writer for six years, covering human space exploration, planetary…
Google Flow Music Spaces is becoming an all-in-one AI music studio
The latest update brings song editing, stem splitting, image generation, lyrics, and video creation into a single workspace.
Google Flow Music Featured

The company has announced a major update for Flow Music Spaces, bringing a suite of new AI-powered creative tools directly into collaborative workspaces. Instead of jumping between different apps or sessions, users can now generate and edit songs, split audio stems, create images, write lyrics, and even generate videos without leaving a Space.

What's new in Flow Music Spaces?

Read more
A Florida pastor asked ChatGPT if he was okay. It nearly got him killed.
When "just relax and recover" turns out to be the worst medical advice you could get.
ChatGPT on iPhone

Scott Winters, a pastor from Florida, is suing OpenAI after ChatGPT allegedly gave him what his lawsuit calls "extremely dangerous" medical advice, advice that nearly cost him his life.

What happened to the pastor?

Read more
Scientists made robots curious like toddlers, and it helped them learn language twice as fast
Give a robot curiosity, and it starts learning language (and misbehaving) just like a toddler.
robots and kids photo

Scientists have been trying to figure out how kids pick up language so fast for decades, and a new study out of the Okinawa Institute of Science and Technology (OIST) might have cracked part of the puzzle: curiosity.

Researchers built a virtual robot with a brain-inspired neural network and set it loose in a simulated 3D world full of shapes, colors, and simple commands like "push left magenta dumbbell." 

Read more