James Webb Space Telescope opens new window into hidden world of dark matter


Collage of two photos of galaxies.

This image shows two galaxies from the JWST JADES survey seen in the first 1.8 billion years after the big bang. Image simulation courtesy of Pozo et al. team

|

NASA’s James Webb Space Telescope (JWST) has revealed unparalleled details about the early universe: observations of young galaxies with unexpectedly elongated shapes that challenge established cosmological models.

This discovery represents a massive leap toward a new understanding on the nature of dark matter — the invisible substance that makes up the universe’s mass. By analyzing cold, warm and wave dark matter models through state-of-the-art simulations, JWST is transforming perceptions of the early cosmos.

The recent observations revealed many never-before-seen young galaxies that formed less than a billion years after the big bang. These galaxies appear strikingly elongated, unlike the familiar disk and spheroidal galaxies seen nearby today.

A new paper — published in Nature Astronomy — describing how these peculiar forms may hold vital clues to the true nature of dark matter was led by Álvaro Pozo of the Donostia International Physics Center and included Arizona State University co-author Rogier Windhorst.

“In the expanding universe defined by Einstein’s theory of general relativity, galaxies grow over time from small clumps of dark matter that form the first star clusters and assemble into larger galaxies via their collective gravity,” said Windhorst, a Regents Professor in ASU’s School of Earth and Space Exploration and an interdisciplinary scientist for the James Webb Space Telescope. 

“But now Webb suggests that the earliest galaxies may be embedded in marked filamentary structures, which — unlike cold, dark matter — smoothly join the star-forming regions together, more akin to what is expected if dark matter is an ultralight particle that also shows quantum behavior.”

To understand the origin of these unusual shapes means running simulations that show how the first galaxies formed in the early universe. Until now, astronomers have generally agreed that the earliest stars and galaxies formed when cool, pristine gas collected along a web of dark matter filaments. However, even the most advanced simulations based on the standard cold, dark matter model have struggled to reproduce the substantial elongation observed in the latest JWST images.

To investigate further, the study compares simulations that use alternative forms of dark matter: warm and wave dark matter, based on ideas involving sterile neutrinos and light axions from string theory. Wave dark matter simulations are particularly demanding because they require extremely fine resolution to capture tiny wave-like patterns while also modeling gas behavior.

“If ultralight axion particles make up the dark matter, their quantum wave-like behavior would prevent physical scales smaller than a few light-years to form for a while, contributing to the smooth filamentary behavior that JWST now sees at very large distances,” Pozo said. 

JWST Dark matter Figure1.jpg
A montage of six galaxies seen between 0.85 (z_phot = 6.5) and 3.5 (z_phot=1.9) billion years after the big bang. The top row shows examples of the marked filamentary galaxies in JWST images. The middle row shows the warm dark matter simulations in the 2025 Pozo et al. Nature Astronomy paper of example galaxies that most resemble the galaxies actually observed by JWST in the top row. The bottom row shows the cold dark matter simulations of these same galaxies as observed in the top row. Images courtsey of Pozo et al. 

The research team, which included experts from MIT, Harvard and Taipei, concluded that elongated young galaxies are abundantly produced in both the warm and wave dark matter scenarios, due to the smoother structure of cosmic filaments in these cases. Gas and stars flow steadily along such filaments, giving rise to prolate, elongated galaxy shapes. 

This comparison can be further tested with future JWST observations, including spectroscopy, and with larger simulation volumes, potentially leading to decisive new insights into the still-unknown nature of the dark matter that dominates the universe.

This release was written by the Donostia International Physics Center press team with contributions from Kim Baptista of ASUs School of Earth and Space Exploration.

In memory of George F. Smoot

The research team dedicates this work to friend and mentor George Smoot, whose invaluable wisdom significantly contributed to this collaborative paper and will leave a lasting impact. He passed away shortly after the paper was accepted. 

In connection with the new research, the team would like to highlight that Smoot was among the first to take the light axion interpretation seriously. More broadly, he inspired all of his colleagues through the breadth and depth of his understanding and his unwavering pursuit of fundamental questions across the entire field. This commitment is evident in his ongoing development of quantum detectors for astronomy, as well as his theoretical applications of general relativity to interpret gravitational wave events and understand the nature of dark matter.

More Science and technology

 

illustration of woman turning on a light next to a data center

US Department of Energy selects ASU and DCX to pioneer new ways to power data centers

The U.S. Department of Energy has selected Arizona State University and DCX USA, LLC, as key research partners for its Microreactor Application Research Validation and Evaluation (MARVEL) program, an…

A logo reading "Lab Coat Optional" surrounded by audio and scientific equipment on a gold and black background. Illustration by Andy Keena

From the lab to your headphones, new podcast brings ASU research to you

What do you get when an evolutionary biologist, an engineer and an anthropologist walk into a recording studio?At Arizona State University, it turns out you get "Lab Coat Optional," a new podcast…

Image of a robot in running position

Lessons on maintaining your humanity in the world of AI technology

AI is not human. But it does a good job of acting like it.It is capable of replicating how we speak, how we write and even how we solve problems.So it’s easy to see why many consider it a threat, or…